Systems | Development | Analytics | API | Testing



Global Alerts & Integrations in N|Solid [9/10] The best APM for Node, layer by layer.

N|Solid provides unparalleled performance and security monitoring for various deployments and team sizes. You can configure the N|Solid Console to notify you when new vulnerabilities are found in your applications. DevOps professionals looking after applications running in production can be notified of performance and security issues earlier and then collaborate wherever they want (Slack, Microsoft Teams, email, etc.) to resolve them.


Capture Heap Snapshots in N|Solid [7/10] The best APM for Node, layer by layer.

One of the first needs of developers is debugging memory-based issues in Node.js applications quickly and effectively. Still, before we jump right into the Heap Snapshot concept, it's essential to understand what a memory leak is. A basic definition that I would apply in this context is: Memory leaks are quite common in production applications. Fortunately, they usually aren't difficult to find.


Worker Threads Monitoring in N|Solid [6/10] The best APM for Node, layer by layer.

One of the more popular ways for developers to use Node.js is to leverage Worker Threads. Workers (threads) are useful for performing CPU-intensive JavaScript operations, according to the official documentation. They have proven to be the best solution for CPU performance due to the following features.


In-depth analysis of the APM performance cost in Node.js

TL; DR: Based on the APM benchmarks results is evident that one of the main performance problems for a Node.js application in a production environment is the usage of the very same applications in charge of monitoring the performance for the application itself. This article explains the reasons with an in-depth analysis to show why using most APMs in a Node.js application is that expensive performance-wise.


Splunk vs. Dynatrace vs. Scout

In today’s times, Application Performance Monitoring has grown to become a necessity for most software organizations. At the same time, the term has evolved from tracking only the performance of an application to monitoring the infrastructure, user experience, latency, and much more. These factors, when put together, contribute to the overall growth of a product. There are so many things that can go wrong at the same time.


APM With Prometheus and Grafana on Kubernetes Ingress

While monitoring is an important part of any robust application deployment, it can also seem overwhelming to get a full application performance monitoring (APM) stack deployed. In this post, we’ll see how operating a Kubernetes environment using the open-source Kong Ingress Controller can simplify this seemingly daunting task! You’ll learn how to use Prometheus and Grafana on Kubernetes Ingress to simplify APM setup.


Spark APM - What is Spark Application Performance Management

Apache Spark is a fast and general-purpose engine for large-scale data processing. It’s most widely used to replace MapReduce for fast processing of data stored in Hadoop. Designed specifically for data science, Spark has evolved to support more use cases, including real-time stream event processing. Spark is also widely used in AI and machine learning applications.