Tag: Scalability

Serverless Observability in N|Solid for AWS Lambda

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We are excited to release Serverless Observability for N|Solid with support for AWS Lambda. With the growth of organizations leveraging serverless increasing as they realize the performance and cost benefits, we’re excited to provide customers with this new visibility into the health and performance of their Node.js apps utilizing Serverless Functions utilizing serverless architectures.

Img 1. Serverless Cloud Providers

Observability has become a critical part of software development; understanding performance issues and why they occur is incredibly valuable. Leveraging Serverless introduces challenges for observability based on how the technology works due to added complexity and challenges in data collection and analysis. Some key observability issues include:

Cold starts: When a serverless function is first invoked, it takes time for the underlying infrastructure to spin up. This can lead to latency issues, especially for applications that require a high degree of responsiveness. In other words, Lambda must initialize a new container to execute the code, and that initialization takes time.

Debugging: Debugging serverless applications can be challenging due to the event-driven nature of the platform. This is because it can be difficult to track the flow of execution through an application comprising multiple functions invoked in response to events.

Visibility: Serverless providers typically provide limited visibility into the underlying infrastructure. This can make it difficult to troubleshoot performance issues and identify security vulnerabilities.

N|Solid now makes it easy to implement distributed tracing based on __OpenTelemetry__, providing better insights into these microservices-based systems.

What is Serverless?

Serverless computing is a cloud computing model that allows developers to run code without provisioning or managing servers. Instead, developers pay for the resources they use, such as the time their code runs and the amount of data it stores.

Some key benefits of Serverless Computing include:

Accelerated app development,
Reduced costs and improved scalability,
Increased agility

Serverless computing has become increasingly popular in recent years, offering several advantages over traditional server-based architectures. However, serverless computing can also be complex, and observability, monitoring, and debugging can be particularly challenging.

Key concepts to understand the importance of extending observability to serverless architectures:

Observability: The ability to understand the state of a system by collecting and analyzing telemetry data. This data can include logs, metrics, and traces. Traces are a particularly important type of telemetry data, as they can be used to track the flow of requests through a system.

OpenTelemetry: An open-source observability framework that can collect and analyze telemetry data from various sources. It includes support for __Distributed Tracing__, which can be used to track the flow of requests through a serverless environment.

At NodeSource, we have been at the forefront of supporting developers to solve these challenges in their Node.js applications, so we have extended this series of features and content since last year:

Distributed Tracing Support in N|Solid – https://nsrc.io/DistributedTracingNS
Enhance Observability with Opentelemetry Tracing – Part 1 – https://nsrc.io/NodeJS_OTel1
Instrument your Node.js Applications with Open Source Tools – Part 2 – https://nsrc.io/NodeJS_OTel2
AIOps Observability: Going Beyond Traditional APM – https://nsrc.io/AIOpsNSolid

In a serverless environment, applications are typically composed of several different services, each responsible for a specific task. This can make it difficult to track the flow of requests through the system and identify performance problems, but not with N|Solid:

With this release, you can now have traces of when a microservices system calls a serverless function.

Now, with N|Solid, you can:

Track the flow of requests across your microservices architecture, from the Frontend to the Backend.
Identify performance bottlenecks and errors.
Correlate traces across multiple services.
Visualize your traces in a timeline graph.

N|Solid is a lightweight and performance-oriented tracing solution that can be used with any Node.js application. It is easy to install and configure, and it does not require any changes to your code.

Introducing Serverless Support for AWS Lambda

NodeSource has introduced a new observability feature to gather information throughout a request in a serverless environment. The collected information can be used for debugging latency issues, service monitoring, and more. This is valuable for users interested in debugging request latency in a serverless environment.

Img 2. N|Solid Serverless Installation Process

With this announcement, we are enabling the opportunity to connect a process following the indications of our Wizard. You will be able to connect the traces of your Node application through requests or connected functions, by connecting the data, you will be able to find the cause of latency issues, errors, and other problems in serverless environments.

How to apply Serverless Observability through N|Solid:

Key practices include leveraging distributed tracing to understand end-to-end request flows, instrumenting functions with custom metrics, analyzing logs for debugging and troubleshooting, and employing centralized observability platforms for comprehensive visibility.

Img 3. N|Solid Serverless Configuration

To use loading Opentelemetry Instrumentation Modules, first, use the NSOLID_INSTRUMENTATION environment variable to specify and load the Opentelemetry instrumentation modules you want to utilize within your application. To enable instrumentation for specific modules, follow these steps:

For HTTP requests using the http module, set the NSOLID_INSTRUMENTATION environment variable to http.

If you’re also performing PostgreSQL queries using the pg module, include it in the NSOLID_INSTRUMENTATION environment variable like this: http,pg.

List all the relevant instrumentation modules required for your application. This will enable the tracing and monitoring of the specified modules, providing valuable insights into their performance and behavior.

Connect through integration the serverless functions; select and configure the environment variable you require. For more advanced settings, visit our NodeSource documentation.

Img 4. N|Solid Wizard Installation Summary

In our NodeSource documentation, you will find CLI – Implementation and Instructions or directly follow the instructions of our Wizard:

Install
Usage
Interactive Shell
Inline Inputs
Interactive Inputs
Help
Uninstall

Benefits of N|Solid Implementing Serverless

Serverless monitoring collects and analyzes serverless application data to identify and fix performance problems. This can be done using a variety of tools and techniques, including:

__Metrics__: Metrics are data points that measure the performance of an application, such as the number of requests per second, the average response time, and the amount of memory used.
__Logs__: Logs are records of events in an application, such as errors, warnings, and informational messages.
__Traces__: Traces are records of a request’s path through an application, including the time it spends in each function.

By collecting and analyzing this data, serverless monitoring tools can identify performance problems, such as:

__Cold starts__: Cold starts is when a serverless function is invoked for the first time. This can cause a delay in the response time.
__Overcrowding__: Overcrowding occurs when too many requests are sent to a serverless function simultaneously. This can cause the function to slow down or crash.
__Bottlenecks__: Bottlenecks occur when a particular part of an application is slow. Some factors, such as inefficient code, a lack of resources, or a bug, can cause this.

Once a performance problem has been identified, serverless monitoring tools can help developers fix the problem. This can be done by:

Tuning the application: Developers can tune the application by changing the code, configuration, or resources used.
Evolving the application: Developers can evolve it by adding new features or changing how it works.
Monitoring the application: Developers can continue monitoring the application to ensure that the problem has been fixed and the application performs as expected.

Benefits of N|Solid Implementing Serverless

Img 5. N|Solid Functions Dashboard

Now, directly in your N|Solid Console, you’ll have the Function Dashboard, which will allow you to review in-depth and detail all the functions you have connected.

By selecting the functions, you can access the __Function Detail View__.

Img 6. N|Solid Function Detail View

In the first content block, you will have the following:

The function’s name and the provider’s icon__.
__Note: If you click on the function itself, it will open the function itself in a new tab directly in AWS.

On the other hand, in the central box, you will have:
– RUNTIME VERSION
– FUNCTION VERSION
– ACCOUNT ID
– N|Solid LAYER: (It is versioned, which is what allows us to see the AWS info)
– REGIONS: The zone of the function. Where it is running that specific version.
– ARCHITECTURE: Lambda can have several Linux architectures. This info comes directly from AWS.

And finally, on the right corner of our console, we will have
Vulnerability Status__, and below this, __Estimated Cost: How much are you spending on this function? For more information, please review our documentation.

About N|Solid Layer

In an __AWS Lambda__, you can have information about hundreds of instances, AWS does it for you, but you don’t have information on each invocation. They show you by default the last 5 minutes through the median, the 99th percentile, etc., but they can’t give us invocation by invocation individually; they simply group them.

There are two types of data we have from AWS Lambda:

Real-Time Metrics or Telemetry API Metrics
Cloudwatch Metrics

The metrics that CloudWatch reports are not real-time. They are extracted from the CloudWatch API by the Lambda Metrics Forwarder and displayed as AWS Lambda delivers them directly. This means there may be a delay of up to a few minutes between recording and displaying a metric.

The __Telemetry API Metrics__, which we extract, through Lambda layers, through modules that we install to your function to be executed.

We distributed this information as a layer,__N|Solid Layer__, injecting code inside. An AWS extension for N|Solid provides information about the life cycle of each Lambda function providing data to the console:

Generate the Timeline Graph
Span: Span Details, Path of the Span, and filter the results by attributes of the Span.
Changing Time Range
Generate SBOM reports

Our method tracks where the function is frozen to optimize Lambda resources within certain limits, allowing access to the information even after the function has been frozen.🤯In real-time, the registration is detected, providing the key information on each invocation in each instance.

In Closing,

We’ve been working on serverless observability for our customers for a while because we believe in the value of leveraging the technology approach. Serverless provides many benefits for developers and teams, but it can be difficult to provide quality observability without adding a lot of expensive overhead.

N|Solid can now help teams develop and maintain better software, resolve issues faster, and provide security for both traditional and serverless Node.js Applications. Try it for free, or connect with us to learn more.

It’s exciting to share this new release, our first in a series of serverless cloud platforms. Look for Azure and GCP to be released soon. Thanks for reading all about it.promising future ahead. Our heartfelt gratitude goes to our exceptional team for their unwavering dedication and hard work in bringing this vision to life.

Related Links

AWS Lambda Documentation – https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
Layer Concept – https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-concepts.html#gettingstarted-concepts-layer
Cloudwatch Metrics – https://docs.aws.amazon.com/lambda/latest/dg/monitoring-metrics.html#monitoring-metrics-types
Lambda Extensions – https://docs.aws.amazon.com/lambda/latest/dg/lambda-extensions.html
CloudFlare Serverless Computing – https://www.cloudflare.com/learning/serverless/what-is-serverless/
IBM – What is serverless? – https://www.ibm.com/topics/serverless
GCP Serverless – https://cloud.google.com/serverless?hl=es-419

The return of ECMAScript 2023 (and Angular)

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#​634 — April 13, 2023

Read on the Web

JavaScript Weekly

The JavaScript Equality Table Game — Minesweeper will feel like a walk in the park after this reminder of the horrors of JavaScript’s ==. If you need to go in depth, Section 7.2.14 of the ECMAScript spec will help, but otherwise? Stick to three equals (===) unless you have a good reason not to.

Reinis Ivanovs

htmx 1.9 Released — htmx (homepage) is an increasingly popular library outside of the JavaScript space as it lets folks use things like WebSockets, SSE, AJAX, and CSS transitions by marking up HTML rather than writing lots of JavaScript. v1.9 adds support for view transitions and generalized inline event handling. The code examples are worth a look – htmx makes a lot possible, with rather little tooling or markup needed.

htmx team

Supercharge AWS S3 Video Streaming with ImageKit’s Video API — Get adaptive bitrate streaming, video optimizations, format conversions, and real-time transformations and watermarking by attaching ImageKit with your AWS S3 bucket.

ImageKit sponsor

The ECMAScript® 2023 Language Spec Steps Forward — After prematurely announcing the progression of the ES2023 spec in February, we can now announce: TC39 has approved the ECMAScript 2023 spec, and while it remains a candidate, it’s now a step closer to eventual ECMA General Assembly approval. The finished proposals list for 2023 now includes Array find from last, hashbang support, Symbols as WeakMap keys, and change Array by copy.

ECMA International

IN BRIEF:

▶️ Angular is back with a vengeance, says Fireship.

Serverless platform AWS Lambda has introduced response streaming on its JS runtime (for now) so you can send response data as it becomes available rather than all at once. (→ Via Serverless Status)

/[]/ A look at a seemingly JS-specific quirk in regular expressions when empty character classes are used.

An analysis of languages used in GitHub pull requests shows JavaScript/TypeScript leading the way with Python just slightly behind. The comments went in lots of odd directions here.

Seven folks at Vue Amsterdam 2023 shared their ▶️ tips on getting started with Vue.js.

▶️ An hour-long chat on the State of Node.js with some leading figures.

Node v18.16.0 (LTS) has been released with backported support for compiling JavaScript code into a single executable app. Node 19’s Ada URL parser also appears.

A striking visual introduction to React and its fundamental concepts.

RELEASES:

Node.js v19.9 (Current)

Puppeteer v19.9 – It’s the week for almost 20s.

pnpm 8.2 – Efficient npm alternative.

Redwood 4.5 – Popular app framework.

Storybook 7.0 – With an official release post this time.

???? Articles & Tutorials

Ranger: Use a Range-Like Syntax for Anything? — const numbers = 1[[…8]], anyone? This is a neat trick for a bit of syntatic sugar, but I’m not sure it would pass the sniff test for most teams. You might find the implementation interesting to check out though. Long may this sort of experimentation continue.

Jon Randy

???? A proposal for JavaScript to get built-in range support is at stage 2.

????  Build and Deploy ‘23: May 3rd – Save the Date! — The ultimate CI/CD virtual conference – best practices and end-user success stories from DevOps experts. Plus, a keynote from Emily Freeman, author of DevOps for Dummies.

Codefresh sponsor

Trying Node’s Built-In Test Runner — In 2022, Node gained an experimental built-in test runner (node:test). It’s going to become stable in the forthcoming Node v20, so it’s a good time to look at how it works and how it compares to other solutions you might already be using.

Gleb Bahmutov

▶  The Right Way To Merge JavaScript Objects — In just one minute, too.

Jack Herrington

Ref vs. Reactive: What to Choose When Using Vue 3 Composition API?

Michael Hoffmann

How to Stream File Uploads to S3 Object Storage from Node.js

Austin Gil

How to Contribute to a Project You Have No Idea About

Michal Warda

???? Code & Tools

Reveal.js 4.5: An HTML Presentation Framework — Brings elegant presentations to anyone with a Web browser. v4.5 was just released with support for jumping to specific slides, a few new themes, and with live reload working with files in subfolders.

Hakim El Hattab

List.js: Add Search, Sort, Filters, and More to Tables and Lists — A handy library for adding search, sort, filters and flexibility to tables, lists or other HTML elements. Want an example? Why, of course.

Jonny Strömberg

????Quokka.js – #1 JavaScript Scratchpad for VS Code — With 2M+ downloads, Quokka.js is the #1 tool for exploring and testing JavaScript/TypeScript. Code runs immediately as you type.

Wallaby.js sponsor

Queue: Async Function Queue with Adjustable Concurrency — Exports a class Queue that implements most of the Array API.

Jesse Tane

Yet Another React Lightbox — Add a lightbox component to your projects “in minutes” – there are several examples to try, as well as a playground with adjustable settings. GitHub repo.

Igor Danchenko

Sandpack 2.6: Component Toolkit for Creating Live Code Editing Experiences — Created by the folks at CodeSandbox, so they surely know what they’re doing in this space. GitHub repo.

CodeSandbox

Easy to Use, Full-Stack Application Monitoring

TelemetryHub sponsor

TS Writer: A Template String Template Engine for Generating Code at Runtime — Rather niche, but aimed at situations where you might need to generate code at runtime in TypeScript.

tinylibs

Minimatch 9.0
↳ Glob matcher library.
     minimatch(“bar.foo”, “*.foo”)

hls.js 1.4
↳ Play HLS in browsers with support for MSE.

Partytown 0.8
↳ Relocate third-party scripts off the main thread.

Plasmo 0.68
↳ “It’s like Next.js for browser extensions”

Obsidian 8.0 – GraphQL, built for Deno.

MUI X 6.1 – React component suite.

TestCafe 2.5 – Automate end-to-end web testing.

Maquette 3.6 – Lightweight virtual DOM library.

Venom 5.0 – WhatsApp bot library.

???? Jobs

Find JavaScript Jobs with Hired — Hired makes job hunting easy-instead of chasing recruiters, companies approach you with salary details up front. Create a free profile now.

Hired

Full Stack JavaScript Engineer @ Emerging Cybersecurity Startup — Small team/big results. Fun + flexible + always interesting. Come build our award-winning, all-in-one cybersecurity platform.

Defendify

????‍???? Got a job listing to share? Here’s how.

AIOps Observability: Going Beyond Traditional APM

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AIOps is an emerging technology that applies machine learning and analytics techniques to IT operations. AIOps enables IT teams to leverage advanced algorithms to identify performance issues, predict outages, and optimize system performance. Nodesource sees significant advantages for developers and teams to increase software quality by leveraging AIOPS. We have extended our platform’s (N|Solid) observability capabilities to include AIOps, enabling developers to leverage advanced machine learning and analytics techniques to optimize their Node.js applications.

Our N|Solid platform provides the most advanced visibility into Node.js applications, enabling developers to quickly identify performance issues, detect security vulnerabilities, and troubleshoot errors. N|Solid achieves this level of observability through real-time performance monitoring, comprehensive metrics, and detailed instrumentation of Node.js applications.

Last year, we integrated OpenTelemetry into our runtime and were nearing the release of an extension of this layer into our console. This advancement will further extend our platform to support AIOps. Santiago Gimeno, a Senior Architect, sums up our vision of the integration with OTel (Open Telemetry) and N|Solid:

“In today’s world, where applications are becoming more complex and distributed, having a good observability solution is more important than ever. The emergence of OpenTelemetry as the de-facto standard for observability is key. It allows application developers to select solutions that adapt better to their needs. Even more, it allows for healthy competition between observability solution vendors. We support this approach and continue to take steps to ensure N|Solid stays compliant with the OpenTelemetry specification, so everyone can use what we believe is the best observability solution for Node.js.”

Key differences between an APM and Observability

APM (Application Performance Management) and observability are both methods of monitoring and managing the performance and health of software applications, but there are key differences between the two:

Scope: APM is focused on monitoring the performance of applications, while observability is a more comprehensive approach that includes monitoring the infrastructure and application stack, as well as the performance of individual services.

Metrics: APM typically relies on predefined metrics and thresholds to identify performance issues, while observability takes a more flexible approach to collect a wide range of data, including logs, metrics, and traces.

Root cause analysis: APM is designed to quickly identify the root cause of performance issues, often through alerting and automated remediation, while observability takes a more holistic approach that emphasizes the need to understand the relationships between different parts of the system to identify and fix issues.

Proactivity: APM is often reactive, focusing on identifying and fixing issues as they arise, while observability is more proactive, focusing on continuous monitoring and analysis to identify potential issues before they become critical.

Tooling: APM is often built around specific tools and technologies designed to monitor and analyze application performance, while observability is more flexible and adaptable, focusing on integrating a wide range of tools and technologies to provide a comprehensive system view.

You need to have both; they are important to monitoring and managing the performance and health of software applications.

This is why N|Solid is not only an APM but also has observability within its functionalities. And now, with the implementation of ML and SBOM, it goes beyond APM and supports the growing discipline of AIOps.

AIOps: Fundamental concept in Modern IT Operations

AIOps (Artificial Intelligence for IT operations) is an approach to IT operations that leverages machine learning and artificial intelligence to automate and optimize IT tasks. AIOps aims to enhance the efficiency and effectiveness of IT operations by leveraging the vast amount of data generated by various IT systems and applications.

Observability refers to IT teams’ ability to observe and understand the behavior of complex systems in real-time, using a combination of monitoring, logging, and analytics tools.

AIOps and observability enable IT teams to proactively monitor and manage IT systems, applications, and infrastructure, allowing them to identify and resolve issues quickly. AIops uses machine learning and AI algorithms to identify patterns in large amounts of data, while observability provides the visibility and context needed to understand the behavior of complex systems.

Modern Observability in Place

Support for open-source tracing tools and standards like OpenTelemetry facilitates team collaboration in resolving issues. Open Telemetry is the second most active CNCF project, behind only Kubernetes, showcasing its importance to the industry.

_Image Twitter Michael Haberman @hab_mic
_

Following this standard, N|Solid (since N|Solid 4.8.0) supports OTEL:
– Implements the OpenTelemetry TraceAPI, allowing users to use the de-facto standard API to instrument their code.
– It supports using many instrumentation modules available in the Open Telemetry ecosystem. It supports exporting traces using the Open Telemetry Protocol(OTLP) over HTTP.
– With this feature is now possible to send N|Solid runtime monitoring information (metrics and traces) to backends supporting the Open Telemetry standard like multiple APMS (Dynatrace, Datadog, Newrelic, etc.).

Additionally, we included OTEL in the ‘APM performance dashboard,’ an open-source tool we released to the community, enabling developers and organizations to understand the impact of APM tools’ performance.

_Img APM’s Performance Dashboard View
_

Recent enhancements to the tool include the following:

Updated the data with N|Solid 4.8.0 -> 16.16.0 and 14.20.0
Added a few new tests: especially with different solutions for graphql.
Added more APMs: opentelemetry, AppDynamics

Added testing of N|Solid against Datadog, Dynatrace, and NewRelic.

Do you want to implement OTel in your Node.js application? ????

Enriching telemetry data with metadata is an important aspect of observability, and OpenTelemetry provides a flexible and extensible framework for doing so. However, there can be challenges in implementing this in practice, especially when dealing with multiple tools and technologies.

One approach to addressing this challenge is to use a centralized configuration management tool to ensure consistency in metadata enrichment across your observability stack. Please review the following articles to give you an accurate guide to implementing Opentelemetry in your project.

Enhance Observability with Opentelemetry tracing – Part 1

Instrument your Nodejs Applications with Open Source Tools – Part 2

However, if you want this implementation out of the box and have other useful features, we invite you to try N|Solid.

Conclusion

N|Solid Supports OpenTelemetry Features, Integrates SBOM and ML at its Core.

By supporting OpenTelemetry features, N|Solid provides seamless integration with this framework, enabling customers to understand their applications, infrastructure behavior, and performance. This integration enhances the ability of developers and operators to troubleshoot issues, identify bottlenecks, and optimize application performance.

N|Solid’s integration of Software Bill of Materials (SBOM) provides a comprehensive list of all software components used in an application, including open-source libraries and dependencies, which helps organizations to mitigate security risks and ensure compliance with regulations. By integrating SBOM at its core, N|Solid provides organizations with an efficient and reliable way to manage the security and compliance of their software applications.

Finally, N|Solid’s integration of machine learning (ML) at its core is another critical feature that helps to identify patterns and anomalies in data, allowing developers and operators to gain insights that are not easily detectable using traditional monitoring tools. This integration of ML at the core of N|Solid enables organizations to improve the overall reliability, performance, and security of their applications and services.

N|Solid’s support of OpenTelemetry features, integration of SBOM, and integration of ML at its core provides developers and operators with a comprehensive set of tools to manage and optimize their applications and infrastructure, making N|Solid a valuable platform in the modern software development and operations landscape.

Ready to connect?

If you want to know more about our APM’S Benchmark project and get the most out of your Node.js application, read this incredible article by our VP of engineering, Adrián Estrada, ‘In-depth analysis of the APMs performance cost in Node.js.‘

We also invite you to ????️ Use the ✨APM’s Performance Dashboard✨here:
???? Read the full blog post here: https://nsrc.io/4xFaster
???? Contribute here: https://github.com/nodesource/node-APMs-benchmark
If you have any questions, please contact us at [email protected] or through this form.

Experience the Benefits of N|Solid’s Integrated Features
Sign up for a Free Trial Today

To get the best out of Node.js and experience the benefits of its integrated features, including OpenTelemetry support, SBOM integration, and machine learning capabilities. Sign up for a free trial and see how N|Solid can help you achieve your development and operations goals. #KnowyourNode

Nodesource introduces Machine learning on its N|Solid platform to help make better Node Apps

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N|Solid is an incredibly versatile platform for helping developers and devops engineers build and manage highly performant and secure Node.js web applications. With the advancement of machine learning you can unlock even more potential. Our M/L solution is a powerful tool that can increase the quality of user experience and boost efficiency for organizations with their Node.js applications. In this article, we’ll explore what machine learning is and how you can use it within N|Solid, pluswe’ll provide tips and best practices for leveraging this new capability to get the most out of your Node.js project.

AI – growing in value in the software development lifecycle

Img #1 AI vs ML concepts

Put in context, artificial intelligence refers to the general ability of computers to emulate human thought and perform tasks in real-world environments, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience. — https://ai.engineering.columbia.edu

The technology world has been abuzz with the growing hype of artificial intelligence (AI). This is understandable as AI promises to revolutionize business and everyday life; from self-driving cars to automated customer service, AI will shape the future of our civilization. As technology continues to advance, the potential applications for AI are seemingly endless.

AI and ML (Machine Learning) are closely related, but not identical. AI is the broader concept of machines being able to perform tasks that would normally require human intelligence, such as visual perception, speech recognition, decision-making, and language understanding. ML is a specific subset of AI that is focused on the development of algorithms and statistical models that allow computers to “learn” from data, without being explicitly programmed. In other words, ML is a method for achieving AI.

ML and AI can help developers build better software in several ways. Some examples include:

Automating repetitive tasks: ML algorithms can be used to automate repetitive tasks that would otherwise require human intervention. For example, a ML model could be trained to automatically classify and categorize emails, reducing the need for manual sorting.

Improving software performance: ML algorithms can be used to optimize the performance of software systems. For example, a ML model could be trained to predict the load on a server, allowing the software to dynamically adjust its resource usage in response.

Enhancing the user experience: AI-powered software can provide a more personalized and intuitive experience for users. For example, a chatbot powered by natural language processing (NLP) could be used to provide customer service, or a recommendation system powered by ML could be used to suggest products to customers.

Predictive Maintenance: AI and ML algorithms can be used to predict when a machine or equipment is likely to fail, allowing maintenance to be performed before the failure occurs.

Identify and Fix Bugs: AI and ML can be used to automatically identify and fix software bugs, reducing the need for human intervention.

Improve Cybersecurity: AI and ML can be used to identify and mitigate cyber threats and detect suspicious activity on a network, which help to improve cybersecurity.

We believe there is great promise for developers to leverage new tooling that helps them focus on the solution and resolve issues as fast as possible, reducing security risks and deliver amazing user experiences. We see AI and ML as a major step forward to build better software.

Node.js expose the potential of AI.

Img 2 – AI Frameworks

We believe Node.js is a powerful technology for leveraging the potential of AI. It allows developers to easily create and manage AI applications, as it features extensive APIs for interacting with AI-related services. With Node.js, developers can create AI-backed applications that can be deployed across various platforms, making it an invaluable asset for businesses looking to leverage the power of AI.

The combination of Node.js and AI will also make it possible to create sophisticated applications that can interpret data in real-time, allowing businesses to improve their customer experience dramatically. As AI advances, Node.js will be a key tool in helping developers make the most out of the technology.

Recently there are several AI projects that are ushering a massive wave of exploration. OpenAI and its ChatGPT has become one of the fastest tools ever adopted. We are impressed with the incredible progress of the OpenAI project and many others,we continue to study, experiment, and review implementations of these technologies and their potential for the ecosystem.

Links to other cool resources

GitHub OpenAI: https://github.com/openai/openai-quickstart-node

OpenAI Docs: https://beta.openai.com/docs/quickstart

Already, Node.js is being used by many companies to power their AI-driven applications, and this trend will only continue as more companies seek to take advantage of the power of AI. Node.js also allows developers to quickly set up and deploy AI-driven applications, further accelerating the development process. With Node.js and AI, businesses can create smarter, faster, and more efficient applications.

Nodesource Introduces Machine learning in N|Solid platform

N|Solid is a Node.js platform with an integrated AI development environment.

This feature allows for training models that will later detect similar patterns in your application data and fire custom events.

It also offers advanced analytics capabilities and support for various AI technologies, making it a powerful tool for businesses looking to capitalize on the potential of AI.

Img 3 – ML Feature Cover

N|Solid is part of a larger trend toward making AI and ML more accessible to developers, helping to utilize these advancements to deliver software solutions.. By providing an integrated platform for Node.js in production, N|Solid is making it easier for businesses to create sophisticated AI-driven models and reap the benefits that come with them.

Developers can start using this new feature in N|Solid immediately to:

Identify performance issues and present insights to resolve quickly
Apply insights across multiple applications
Smart analysis and detection of common Node.js performance issues with the bundled models we provide
Training of custom models to detect specific problems
Global notifications and events tracking for processes and applications

Below you will see ML in action inside N|Solid.

Machine Learning UI

In the N|Solid Console, the Machine Learning feature can be accessed from the app summary or process detail views.

Each handles different data sets and will have a different effect on the model you train.

Training ML Models

The Machine Learning models can be trained using two kinds of data sets. The models trained in the app summary view will use the aggregated data of all the processes running inside the app.

On the other hand, the models trained in the process detail view will use process-specific data.

Train a model in the app summary view.

When a process/app is first connected, it will take a certain amount of data to be successfully trained; you will find a progress loader under process configuration:

To train a model in an app summary page, click on Train ML Model button.

Train a model in a process detail view.

To train a model in a process detail page, click on Train ML Model button.

Modal creation and training

After clicking on the Train ML Model button, a modal will open; here, you can create, filter, and train models; this modal is the same for both pages.

To create a model, click on CREATE NEW MODEL.

Name and briefly describe the model, then save.

Select the created modal and click on ‘TRAIN.’

When the trained model finds a data pattern similar to the one it was trained with, it will fire an event and show a banner on top of the navbar.

Click on View Event to be redirected to the events tab; here, you will find the most recent machine learning event.

The events will also appear in the application status section; clicking on VIEW ANOMALIES will redirect to the events tab.

Manage the default and custom models.

Machine Learning models can be administered in the settings tab, where you will find a set of default models and the user-trained models; here, the frequency of events being fired can be modified, and the custom user models can be deactivated, deleted, or edited.

For a full reset of the created models, click on RESET MODELS.

Custom user models have edit and delete icons; these models are found beneath the default models.

PLEASE NOTE Only the name and description of the user-created model can be edited; if you want to change the model data, please retrain the model in-app summary or in the process detail pages. Default models are activated by default; these can only be activated or deactivated.

Our Machine learning feature has been live since November 2022; if you want to review the official documentation, you can do it here.

One Last Thing…

To get the best out of Enterprise Node.js, start a free trial of N|Solid SaaS, an augmented version of the Node.js runtime, enhanced to deliver low-impact performance insights and greater security for mission-critical Node.js applications.

11 Features in Node.js 18 you need to try

Posted on by Simon Helberg

Node.js 18 LTS is now available. What’s new?

Node.js 18 was released on the 19th of April this year. You can read more in the official blog post release or in the OpenJS Blog announcement. The community couldn’t be more excited!

Here at NodeSource,releases are a big deal. As a team of experts, enthusiasts, and core contributors to the open-source project, we love seeing the progress of Node! We are also one of the primary distributors of the runtime and have been since version 0.x (2014).

Developers download and use our binaries worldwide for their production environments (over 100m a year and growing!). We are incredibly proud to support this important piece of the Node ecosystem in addition to building and supporting customers on our Node.js platform – N|Solid.

“If you use Linux, we recommend using a NodeSource installer.” – From the NPM Documentation

If you want to lend a hand, we welcome your ideas or solutions contact us, or if you would like to help us continue supporting open source, you can contribute with an issue here.

Overall, the community is looking forward to this release with many new features and other benefits in addition to the official release earlier this year that included:

Security: Upgrading to OpenSSL 3.0

APIs: Fetch API is Promise based, providing a cleaner and more concise syntax.

If you are interested in thinking about the future of Node, we recommend checking out The next-10 group. They are doing some great work thinking about the strategic direction for the next 10 years of Node.js. Their technical priorities are:

Modern HTTP, WebAssembly, and Types.
ECMAScript modules and Observability

_OpenJS Collaborator Summit 2022
_

But now I’m sure you want to get into the changes in v18. What has improved, and what are the new features? That’s what you’re here for 😉. So let us explain 👇

Hydrogen. What is it?

The codename for this release is ‘Hydrogen’. Support for Node.js 18 will last until April 2025. The name comes from the periodic table, and they have been used in alphabetical order (Argon, Boron, Carbon, Dubnium, Erbium…) 🤓 Read more in StackOverflow.

LTS?

According to the Node.js blog, the “LTS version guarantees that the critical bugs will be fixed for a total of 30 months and Production applications should only use Active LTS, or Maintenance LTS releases”. – https://nodejs.dev/en/about/releases/

In short, it focuses on stability and being a more reliable application after allowing a reasonable time to receive feedback from the community and testing its implementation at any scale.

_Nodejs Releases Screenshot 2022
_

How do I know what version of Node and LTS I have?

You can easily do it by typing in your console:

$ node –version

Run the following to retrieve the name of the LTS release you are using:

$ node -p process.release.lts

_Note: _ The previous property only exists if the release is an LTS. Otherwise, it returns nothing.

If you want to be aware of the release planning in the Node.js community, you can check here: Node.js Release Schedule.

What’s new in Node.js 18?

Contributors are constantly working to improve the runtime, introduce more features, and improve developer experience and usability. Today as the worldwide community uses JS for developing API-driven web applications and serverless cloud development, the changes in this new LTS version are important to understand.

In honor of the number 11 (__#funfact__ Undici means ‘eleven’ in Italian), we decided to make our top 11 Node.js 18 features:

Fetch API
🧪- – watch
🧪 OpenSSL 3 Support
🧪 node:test module
Prefix-only core Modules
🧪 Web Streams API
Other Global APIs: Blob and BrodcastChannel.
V8 Version 10.1
Toolchain and Compiler Upgrades
HTTP Timeouts
Undici Library

The idea of this blog post is to relevel the functionalities one by one, so let’s start:

Feature 1: Native Fetch API in Node.js 18

Finally, v18 provides native fetch functionality in Node.js. This is a standardized web API for conducting HTTP or other types of network requests. Previously Node.js did not support it by default. Because JavaScript is utilized in so many areas, this is fantastic news for the entire ecosystem.

Example:

Feature 2:–watch

Using –watch, your application will automatically restart when an imported file is changed. Just like nodemon. And you can use –watch-path to specify which path should be observed.

Also, these flags cannot be combined with –check, –eval, –interactive, or when used in REPL (read–eval–print loop) mode. It just won’t work.

You can now use Node Watch index on your file name to start watching your files without having to install anything.

Feature 3: OpenSSL 3 Support

OpenSSL is an open-source implementation of, among other things, SSL and TLS protocols for securing communication.

One key feature of OpenSSL 3.0 is the new FIPS (Federal Information Processing Standards) module. FIPS is a set of US government requirements for governing cryptographic usage in the public sector.

More information is available in the OpenSSL3 blog post.

Feature 4: The Experimental node:test

The node:test module facilitates the creation of JavaScript tests that report results in TAP (Test Anything Protocol) format. The TAP output is extensively used and makes the output easier to consume.

import test from node:test

This module is only available under the node:scheme.
Read more in Node.js Docs

This test runner is still in development and is not meant to replace other complete alternatives such as Jest or Mocha, but it provides a quick way to execute a test suite without additional third-party libraries. The test runner supports features like subtests, test skipping, callback tests, etc.

node:test and –test

node:assert

The following is an example of how to use the new test runner.

More information may be found in the Node.js API docs.

Feature 5: Prefix-only core Modules

A new way to ‘import’ modules that leverages a ‘node:’ prefix, which makes it immediately evident that the modules are from Node.js core

To learn more about this functionality, we invite you to read Colin Ihrig‘s article Node.js 18 Introduces Prefix-Only Core Modules.

Feature 6: Experimental Web Streams API

A Web Streams API is a set of streams API. Also experimental, it allows JavaScript to access streams of data received over the network programmatically and process them as desired. This means Stream APIs are now available on the global scope. This would help send the data packets in readable and writable streams.

Methods available are as follows,

ReadableStream

ReadableStreamDefaultReader

ReadableStreamBYOBReader

ReadableStreamBYOBRequest

ReadableByteStreamController

ReadableStreamDefaultController

TransformStream

TransformStreamDefaultController

WritableStream

WritableStreamDefaultWriter

WritableStreamDefaultController

ByteLengthQueuingStrategy

CountQueuingStrategy

TextEncoderStream

TextDecoderStream

CompressionStream

DecompressionStream

Feature 7: Other Global APIs

The following APIs in the Node v18 upgrade are exposed on the global scope: Blob and BroadcastChannel.

Feature 8: V8 Version 10.1

Node.js runs with the V8 engine from the Chromium open-source browser. This engine has been upgraded to version 10.1, which is part of the recent update in Chromium 101.

New array methods for finding the last element and index of an array. Array methods findLast and findLastIndex are now available.
Internationalization support: Intl.Locale and the Intl.supportedValuesOf functions.
Improving the performance of class fields and private class methods.
The data format of the v8.serialize function has changed (No compatible with earlier versions of Node.js.)

Keep an eye out here.

Feature 9: Toolchain and Compiler Upgrades

Node.js always provides pre-built binaries for various platforms. For every latest release, toolchains are evaluated and elevated whenever required. Node.js provides pre-built binaries for several different platforms. For each major release, the minimum toolchains are assessed and raised where appropriate.

Pre-built binaries for Linux are now built on Red Hat Enterprise Linux (RHEL) 8 and are compatible with Linux distributions based on Glibc 2.28 or later, for example, Debian 10, RHEL 8, Ubuntu 20.04.
Pre-built binaries for macOS now require macOS 10.15 or later.
For AIX, the minimum supported architecture has been raised from Power 7 to Power 8.

Note: Build-time user-land snapshot(Experimental)

Users can build a Node.js binary with a custom V8 startup using the
–-node-snapshot-main flag of the configure script.

Feature 10: HTTP Timeouts

The http.server timeouts have changed:

headersTimeout (the time allowed for an HTTP request header to be parsed) is set to 60000 milliseconds (60 seconds).

requestTimeout (the timeout used for an HTTP request) is set to 300000 milliseconds (5 minutes) by default.

Feature 11: Undici Library in Node.js

Undici is an official Node team library, although it’s more like an HTTP 1.1 full-fledged client designed from the ground up in Node.js.

Keep alive by default.
LIFO scheduling
No pipelining
Unlimited connections
Can follow redirected (opt-in)

Of note, we support and love Lizz‘s work, so we recommend you check out her fantastic talk in Nodeconf.EU about New and Exciting features in Node.js to understand more about this feature.

Other Features/Changes:

The project undoubtedly has some great challenges in the near future to continue growing and maintaining its leading position in the ecosystem. These are some of the upcoming features. Most of them are experimental; without being the only ones to discuss, there is much work and proposals from an active community such as the Node.js Community.

Default DNS resolution
ECMAScript modules improvements
Improved support for AbortController and AbortSignal
Updated Platform Support
Async Hooks
Direct Network Imports
Build-time user-land snapshot
Support for JSON Import Assertions
Unflagging of JSON modules (experimental)
Support for HTTPS and HTTP imports
Diagnostic Channel
Trace Events
WASI

You can check the full changelog here.

Final Remarks

Node.js 12 will go End-of-Life in April 2022.
Node.js 14 (LTS) or Node.js 16 (LTS) or Later Node.js 18 will be LTS.
Node.js 18 will be promoted to Long-term Support (LTS) in October 2022 (NOW).
After being promoted to LTS, Node.js 18 will be supported until April 2025.

Upgrade Now!

Moving to the LTS version is the best decision for you to include the following improvements in your development workflow:

FetchAPI and Web Streams
V8: New advanced features, array methods, improvements, and enhancements.
Test runner without the need for third-party packages.
Deprecated APIs: Check the list here

Enhancement in Intl.Locale API.
Performance improvement in both class fields and private class methods.

Migration

To migrate your version of Node, follow these steps:

For Linux and Mac users, follow these commands to upgrade to the latest version of Node. The module n makes version management easy:

npm install n -g

For the latest stable version:

n stable

For the latest version:

n latest

Windows Users
Visit the Node.js download page to install the new version of Node.js.

Special Thanks

With 99 contributors and 1348 commits Node.js 18 LTS came to life 🎉. Special thanks to @_rafaelgss @BethGriggs_ @_richard_lau_ To make this release happen 💚

$ nvm install 18.12.0

And thank you to all of Node.js project contributors. Our complete admiration and support for such incredible work 💪.

NodeSource Node.js Binary Distributions

NodeSource, from the beginning, was created with a great commitment to the developers’ community, which is why it has provided documentation for using the NodeSource Node.js Binary Distributions via .rpm, .deb as well as their setup and support scripts.

If you are looking for NodeSource’s Enterprise-grade Node.js platform, N|Solid, please visit https://downloads.nodesource.com/, and for detailed information on installing and using N|Solid, please refer to the N|Solid User Guide.

We are also aware that as a start-up, you want ‘Enterprise-grade’ at a startup price, this is why we extend our product to small and medium-sized companies, startups, and non-profit organizations with N|Solid SaaS.

Useful Links / References

You can upgrade to NodeJS v18 using the official download link

New Node.js features bring a global fetch API & test runner. Check out the Node version 16-18 report

Welcome Node.js 18 by RedHat
Announcing a new –experimental-modules

NODE.JS Retro 2022

Posted on by Simon Helberg

Node.js was the top technology used by professional developers in 2022

Stack Overflow’s annual Developer Survey confirmed our experience; Node.js continues to grow its use across the globe due to its scalability and performance as well as its ability to integrate seamlessly with a wide range of technologies and databases make it an ideal technology for businesses of all sizes.

The Node.js open-source project, a cross-platform JavaScript run-time environment built on Chrome’s V8 JavaScript engine, allows developers to use JavaScript to create web applications and serve data quickly, securely, and reliably. That’s why professional developers have adopted it broadly; it helps them in many web-development tasks like API development, streaming, and web and mobile applications as it is fully compatible with existing JavaScript libraries (the Top Language according to Github’s Octoverse Report, it can be used to create highly scalable and dynamic web or mobile applications.

Img 1: Stackoverflow 2022 survey

NodeJS on an Enterprise Level

Node.js excels at simplifying the development process for enterprises. It requires less code to execute tasks, allowing developers to focus on creating high-quality code rather than endless lines of coding. By utilizing asynchronous I/O and non-blocking event-driven input/output makes it lightweight and efficient for building real-time applications.

Img: Node.js Org Use Survey

Node.js is designed to handle high amounts of requests quickly and efficiently. Its architecture is based on a single-threaded, event-driven model that makes it very efficient at handling concurrent requests. This event-driven design allows Node to handle requests without the need for multiple threads. This makes Node.js applications highly scalable, as multiple requests can be served without additional resources or server hardware.

Additionally, Node.js supports streaming and event-based programming, which allows developers to build asynchronous applications. Asynchronous programming will enable applications to respond quickly to multiple requests without waiting for each request to finish before responding.

Therefore the performance of Node.js applications depends mainly on how well they are coded and optimized. Careful planning and optimizing the application code are essential to achieve high performance. Additionally, Node.js applications benefit from caching, clustering, and other optimization techniques. These techniques can help improve the performance and scalability of Node.js applications.

The number one request we get at NodeSource is to help developers and organizations improve the performance of their Node.js applications. It’s a key reason we built our product N|Solid, to provide the visibility and insights to help identify and resolve issues fast without adding overhead like other APMs (NodeSource Benchmark Tool). And why we offer Professional Services from our Node Experts to go a step further with Performance Audits and Training and Node.js Support.

Optimization techniques in Node.js

In our experience, the most common optimization techniques in Node.js are caching, minification, bundling, optimizing database queries, code splitting, using async functions, and using the Node.js cluster module. Here is a quick overview of each.:

Caching

Caching in Node.js helps improve performance by storing data in memory to be accessed quickly when needed. This helps reduce the time it takes to retrieve data from the server and helps reduce the number of requests needed to be made to the server. Caching also allows data to be stored more efficiently, which is helpful for applications with large amounts of data.

Minification

In Node.js reduces the size of code files and other resources by removing unnecessary characters, such as spaces, new lines, and comments, without altering the code’s functionality. Minifying code can help to enhance the performance of your Node.js applications by reducing download time and improving browser rendering speed.

Bundling

Is the process of combining multiple files or resources into one bundle, which typically has a smaller file size than when all files are separate. Bundling can reduce network latency as fewer requests are needed to retrieve data. It also helps improve application performance as the browser can cache a single large file instead of multiple small ones.

Optimizing database queries

In Node.js involves utilizing techniques such as indexing, query optimization, and caching to ensure that database queries are more efficient and run more quickly. Proper indexing can contribute to faster query times. In contrast, query optimization can reduce the time needed to process a query by ensuring that only the data required is requested from the database.

Code splitting

Is a technique to reduce the amount of code sent to the client when a web page is requested. Code splitting efficiently divides code into smaller bundles and only sends the necessary code to the user when needed. This helps improve web application performance, as the user only needs to download the relevant code for the requested page.

Async functions

In Node.js allow code to be run asynchronously, meaning that the code is not executed sequentially. Instead, asynchronous operations can be executed in parallel and execute operations concurrently. This allows the code to execute faster and in a more efficient way. Additionally, asynchronous functions provide better error-handling capabilities and allow greater control over the flow.

Use of the Node.js Cluster Module

The Node.js cluster module allows you to create a group of child processes (workers) that all share the same server port, making it easy to scale your application across multiple CPU cores. It also provides a powerful way to handle requests in a distributed manner and makes it easier to manage and monitor the performance of your application. The cluster also provides an API for sending messages between workers, allowing them to coordinate their activities.

In addition to these optimization techniques in Node.js, it is important to consider the best development practices in Node.js.

The best development practices in Node.js.for 2023

Img: https://xkcd.com/292/

The list includes, but is not less:

Utilizing the latest version of Node.js and ensuring it is regularly updated. For your production binaries, we recommend using our distribution packages (best maintained, documented, and most used production binaries -NodeSource Node.js Binary Distributions

Implementing modern patterns and techniques such as asynchronous programming and proper error handling.

Leveraging dependency management to reduce code complexity and ensure packages are up-to-date.

Adopting modular development practices to create easily reused and scaled components across projects.

Investing in automated testing to ensure quality and stability in the codebase.

Use security libraries to prevent common vulnerabilities and protect against data breaches.

Optimizing memory and resource usage to keep operating costs low.

And to comply with one or several of these good practices, it is essential to use an APM.

Using an Application Performance Monitoring (APM)

Using an Application Performance Monitoring (APM) tool to monitor your Node.js application lets you gain insights into application performance and identify issues quickly. Some popular APM tools for Node.js include New Relic, AppDynamics, Datadog and N|Solid. Each tool offers performance monitoring, error tracking, and real-time analytics features.

Note: Last year, we released for the community an open-source tool to compare the main APMs in Node.js; we invite you to contribute or use it in your work.

Selecting the right APM for Node.js will depend on the specific needs of your project. However (yes, we are biased 🙂), we believe N|Solid is the best APM for Node.js is the best APM for Node.js; because it provides developers with deeper insights and key integrations and adds security features no other APM can.

Conclusion:

Node.js is quickly becoming a popular choice for enterprise-level applications. With its lightweight architecture, scalability, and flexibility,
Node.js is an ideal language for businesses that need applications that can handle high traffic and complex data.
Node.js allows organizations to develop highly-customizable web applications that are secure, reliable, and perform well at scale.
Node.js also has a vibrant open-source community, allowing developers to easily find and use existing libraries and frameworks.

Are you creating a Node.js application?

Follow these simple steps:

Start by selecting a framework. Node.js has many available frameworks, such as Fastify, Hapi, or Koa. Choose the one that best fits the needs of your application.

Set up a package.json file to better manage your project’s dependencies.
Create a folder structure to organize the components of your application.
Structure your code into separate files as your application grows.
Write automated tests for your application.
Implement error handling for any unexpected issues.
Validate user input before handing it off to your application.
Utilize caching to improve performance.
Consider deploying
Use an APM and follow our diagnostic blog-post series (Remember that for Node.js, N|Solid is the recommended option 😉 ).

Good programming could help create a project exactly how you want. In NodeJS, there are so many open-source projects to take inspiration from.

— Wait for our list of projects and technologies in Node.js to keep an eye on in 2023 —

With services from a NodeJS expert company such as NodeSource, you could make the most of the technology’s robust features to achieve your web development goals. We will be happy to support you in your node.js journey!

Here are our channels to follow us and continue the conversation:
– Twitter
– LinkedIn
– Github.
As always, the best place to contact us is via our website or [email protected].

About N|Solid

N|Solid is an augmented version of Node.js that includes additional features such as security, performance monitoring, and enhanced debugging tools. It’s an excellent option for projects that require robust debugging and performance capabilities.

Top 10 N|Solid —APM for Node— features you needed to use

Posted on by Simon Helberg

Nearly a year ago, we launched N|Solid SaaS, and although there are still a few months to go before our anniversary, we wanted to share the top 10 features ofN|Solid that make us proud every day of what we have built.

N|Solid is the best way to monitor and secure your Node.js applications (including in production) that are trusted by developers, software teams, and global enterprise companies. It has an array of features like other APMs, but we go deeper with our insights and are more performant than all others. We created N|Solid to help companies build the best software with Node and save time resolving issues. Because there is significant risk in deploying open-source applications without knowing the security gaps, we provide features to prevent security issues and insights for resolving them.

We are confident we’re the best APM solution for Node. js-based applications; if you are using Node, you should be using our runtime. We’re a complete product/solution, not just an APM focused on Node.

About N|Solid

N|Solid is a toolset built on Node.js that provides a number of enhancements to improve troubleshooting, debugging, managing, monitoring, and securing your Node.js applications. It is 100% compatible with the open-source project and requires no instrumentation of your code.

N|Solid Console

N|Solid provides a web-based console, ‘N|Solid Console’ to monitor your applications but also allows you to introspect your Node.js applications, in the same way, directly in the CLI if you run the __N|Solid Runtime__.

N|Solid Runtime

If you want to introspect your Node.js applications and have the most control from your command line, you’ll run them with the N|Solid Runtime, which is shaped similarly to a typical Node.js runtime but provides some additional executables.

To install N|Solid Runtime, download and unpack an N|Solid Runtime from the N|Solid download site.

Why N|Solid is an APM

Traditionally, the acronym APM has been used to refer to application performance management. However, in recent years it also refers, perhaps more correctly, to Application Performance Monitoring, and that is exactly what N|Solid does, which is why its categorization in this spectrum of applications is correct. Something important to highlight is that it is not a polyglot APM; it is clearly an APM specialized in Node.js, which has always been our focus.

While other APMs support Node.js, none provide the level of insights N|Solid can. In many cases, the APMs can become a part of the problem by consuming significant resources due to how they are designed. But don’t take our word for it. You can check it with real data through this OS Project — The APM’s Benchmark tool —.

APM’s Benchmark Tool – Overview Screen

N|Solid APM (Self-hosted or SaaS) is the best observability and insights tool to manage Node performance and security, and the full platform access enables you to really #KnowyourNode

In this blog post, we want to wrap it up our product series, briefly telling you about the 10 main features of N|Solid. We hope you like it and it helps you get the most out of our product.

[1] Project & Applications Monitoring in N|Solid

Visually view application behavior and identify performance and security issues.

With Project & Application Monitoring, you can track a website or any application based on Node.js. This feature allows you to collect your log data to help developers detect bugs and process use, track downtime, and improve performance to be consistent and focused on the end-user experience.

N|Solid APM – Projects & Applications View

This area is mainly made up of 3 main views that use the Projects and Applications and Process Monitoring:
– Applications view
– Application summary view
– Processes view

Read more about this feature here: https://nsrc.io/ProjectApplicationsMonitoringNS

[2] Process Monitoring in N|Solid

Access deep performance insights.

The applications and associated processes are displayed in this feature of our N|Solid Console. You can visualize Event Loop Estimated Lag, Heap Used, or CPU Used, for example, and you can correlate these metrics in a planimetry. You can also select a specific process to know its general status and vulnerabilities and choose a specific graphic to visually represent the selected information.

N|Solid APM – Process Monitoring

Read more here: https://nsrc.io/ProcessMonitoringNS

[3] CPU Profiling in N|Solid

Shows what functions consume CPU% and how resources are allocated.

CPU Profiling allows you to understand where opportunities exist to improve your Node processes’ speed and load capacity. This feature shows what functions consume CPU% and how resources are allocated.

N|Solid APM – Flamegraph-CPU Profile

Read more here: https://nsrc.io/CPUProfilingNS

[4] Worker Threads in N|Solid

View In-depth metrics of each worker thread.

Worker threads are treated first class and have the same access to CPU profiles, snapshots, etc. as the main process. We are the only solution that has full support worker threads.

View In-depth metrics of each worker thread. With this feature, identify opportunities to improve the performance of CPU-intensive work.

Read more here: https://nsrc.io/WorkerThreadsNS

[5] Capture Heap Snapshots in N|Solid

Understand where and how memory is being used

Taking heap snapshots is a great way to help identify the underlying problem when faced with a memory leak or performance issue. In this way, you will be able to understand where and how memory is being used, and you will be able to quickly resolve memory leaks and performance issues.

N|Solid APM – Capture Heap Snapshots

Read more here: https://nsrc.io/HeapSnapshotsNS

[6] Memory Anomaly Detection in N|Solid

View In-depth metrics of each worker thread.

Identify Memory anomalies taken with a more accurate detection method.
– Insights and metrics are historical, before and after the incident happened.
– Get anomalies at different heap usage levels.
– Detect correlation between sets of memory-specific metrics.
– Filter results by specific processes inside your application.

N|Solid APM – Memory Anomaly Detection

Read more here: https://nsrc.io/MemoryAnomalyNS

[7] Vulnerability Scanning – NCM – in N|Solid

Know all of the potential vulnerabilities within your application.

NCM is security, compliance, and curation tool around the 3rd-Party Node.js & JavaScript package ecosystem. It provides protection against security vulnerabilities and licensing compliance issues and provides risk assessment when working with a 3rd-party ecosystem.

The N|Solid Console can be configured to perform periodic verification of all packages loaded by all N|Solid processes.

N|Solid APM – Vulnerability Scanning from N|Solid Runtime

NCM provides

Actionable insights.
Offline vulnerability scanning.
Prevent processes in an application from launching if they have vulnerabilities with “strict mode.”
NCM-CI (Service Tokens and CI Processes) customization.

__Note__: NCM can be viewed from 3 locations: full overview, per application, and per process.

Read more here: https://nsrc.io/VulnerabilityScanningNS

[8] HTTP Tracing support in N|Solid

Enables the ability to debug application latency and other issues.

HTTP tracing gathers throughput and the lifecycle of any HTTP, DNS, or other types of request.
– Debug latency issues, monitor your services, and more with the collected information.
– See in a timeline graph the density of the number of tracked spans.
– Inspect each span for more detail on the collected trace.
– Filter the results by the attributes of a span and delimit them to the time range.

N|Solid APM – HTTP Tracing Support

Read more here: https://nsrc.io/HTTPTracingNS

[9] Global Alerts & Integrations in N|Solid

Be aware of issues and vulnerabilities. Pre-configured API integrations with key 3rd party services.

You can use automation to trigger alerts over integrations, CPU profiles, or heap snapshots. Be aware of issues and vulnerabilities, Pre-configured API integrations with key 3rd party services.

So when creating the heap snapshot, for example, I will have the notification directly in Slack of my N|Solid Console’s behavior; from there, I can check it by opening the Console.

N|Solid APM – Global Alerts & Integrations – Slack Example

Read more here: https://nsrc.io/GlobalAlertsIntegrationsNS

[10] Distributed Tracing in N|Solid

Better understand the factors that affect an application’s latency.

Distributed tracing is a core component of Observability mainly used by site reliability engineers (SREs) but also by developers and is recommended in that way to obtain the greatest benefits as a team in charge of modern distributed software.

As your system scales, you’ll need to add a tracing and refine sampling capabilities, which means getting the context to understand the complexity of distributed architectures.

N|Solid APM – Distributed Tracing

Distributed Tracing provides several solutions, which include:

Monitoring system health
Latency trend and outliers
Control flow graph
Asynchronous process visualization
Debugging microservices

Read more here: https://nsrc.io/DistributedTracingNS

Still, on our roadmap, we are planning and executing features that will shake up the ecosystem in the coming months. Stay tuned! 😎

Top Ten Features In N|Solid

🧭Projects & Applications Monitoring in N|Solid – https://nsrc.io/ProjectApplicationsMonitoringNS

🌌 Process Monitoring in N|Solid – https://nsrc.io/ProcessMonitoringNS

🔍 CPU Profiling in N|Solid – https://nsrc.io/CPUProfilingNS

🕵️‍♂️ Worker Threads Monitoring in N|Solid – https://nsrc.io/WorkerThreadsNS

📸 Capture Heap Snapshots in N|Solid – https://nsrc.io/HeapSnapshotsNS

🚨 Memory Anomaly Detection in N|Solid – https://nsrc.io/MemoryAnomalyNS

🚩 Vulnerability Scanning & 3rd party Modules Certification in N|Solid – https://nsrc.io/VulnerabilityScanningNS

👣 HTTP Tracing Support in N|Solid – https://nsrc.io/HTTPTracingNS

⏰ Global Alerts & Integrations in N|Solid – https://nsrc.io/GlobalAlertsIntegrationsNS

🪄 Distributed Tracing in N|Solid – https://nsrc.io/DistributedTracingNS
…and more

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