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NodeJS

Support for Database Performance Monitoring in Node

Performance monitoring is great because it lets you see whether your application is fast or slow, and which parts need speeding up. For Node developers, those “parts” are most often endpoints handling incoming requests. Since the introduction of our performance monitoring offering in July 2020, Node devs have been able to use the Sentry SDK, @sentry/node, to measure the total time it takes to process each request, but we made some significant improvements since then.

Best 5 Tools for Node.js Monitoring

Application developers are turning to Node.js as one of the most popularly used Javascript frameworks for microservice development. Node.js tops the list of most utilized frameworks amongst the developers worldwide in 2020 by 51.4 percent. With the increasing demand for Node.js technology, it has become crucial to monitor the performance of the applications, servers, and other metrics.

Launching AppSignal Monitoring for Node.js 1.0

Do you know how many errors your Node.js application had last week? How many users were affected? Which servers were high on CPU/Memory/Disk? If you do know, how many different tools did you have to install, and how many hours you’ve spent configuring all those tools? AppSignal is here to change the way you monitor your apps and simplify your life as a developer. Today, we officially launch the 1.0 version of @appsignal/node.js.

Exploring Node.js Async Hooks

Have you ever heard of Node.js async hooks module? If the answer is no, then you should get familiar with it. Even though it’s new stuff (released along with Node.js 9) and the module is still in experimental mode, which means it’s not recommended for production, you should still get to know it a bit better. In short, Node.js async hooks, more specifically the async_hooks module, provides a clear and easy-to-use API to track async resources in Node.js.

TrackJS for Node

TrackJS error monitoring, on your servers. We’re thrilled to announce official support for Node environments and the 1.0.0 release of our Node agent. We’ve actually had Node since sometime last year, but we’re finally formalizing it as a first-class citizen and fully-supported part of TrackJS! Here are some of the cool things you can do with TrackJS for Node.

Full Observability with Your Node.js App

Javascript is a pretty prolific programming language, used daily by people visiting any number of websites and web applications. NodeJS, it’s server-side version, is also used all over the place. You’ll find it deployed as full application stacks to functions in things like AWS Lambda, or even as IoT processes with things like Johnny Five. So when we think about Observability in the context of a nodejs stack, how do we set it up and get the information flowing?

Node.js Resiliency Concepts: Recovery and Self-Healing

In an ideal world where we reached 100% test coverage, our error handling was flawless, and all our failures were handled gracefully — in a world where all our systems reached perfection, we wouldn’t be having this discussion. Yet, here we are. Earth, 2020. By the time you read this sentence, somebody’s server failed in production. A moment of silence for the processes we lost.

Node.js Microservices: Developing Node.js Apps Based On Microservices

Node.js application developers, in the ever-evolving business landscape, enjoy tangible advantages while incorporating microservices in Node.js apps development. The microservice architecture, or microservices, is a distinct method of software systems development, which attempts to create modules that are single-function, with well-defined operations and interfaces.

NodeJS Instrumentation - Adding Custom Tags to Spans | Datadog Tips & Tricks

In part 1 of this 4 part series, you’ll learn how to use manual instrumentation to add additional detail to traces. We’ll add new tags, or attributes, to the spans generated by our NodeJS application, allowing for more insightful data visualizations in App Analytics.

NodeJS Instrumentation - Creating Custom Spans for Method-Level Visibility | Datadog Tips & Tricks

In part 2 of this 4 part series, you’ll learn how to instrument your NodeJS application to capture custom method-level spans, allowing visibility into how specific methods behave in your application. Flame graphs allow for deep insight into the performance of your code. During instrumentation, we can capture custom spans for deeper layers of visibility in the resulting flame graphs. In this video, we use instrumentation to capture a method-level span, allowing us to see the performance of that specific method in our flame graphs in the Datadog UI.