You can now monitor any metrics you’d like in your Node.js app with AppSignal. With custom metrics and minutely probes by your side, you’ll now have an excellent overview of your app. If you’ve ever thought “I wish we measured this specific thing so I could monitor better what is going on…”, then this feature is perfect for you.
Today, we’ve added a magic dashboard to the Node integration that shows you the performance and volume of your PostgreSQL queries.
The Sigma IDE has added Alexa skill development support that makes skill development in NodeJS or Python a breeze! This post includes the tutorial walk-through for the YouTube video which you can find below.
When applications experience performance issues, developers may rely on heuristics and find the root cause of issues by directly looking into their code. However, in modern application environments, several services, third-party APIs, and cloud-based components can make it difficult to pinpoint the root cause of an issue. Application logs can help developers detect and resolve issues faster.
About 90% of all Lambda functions monitored by Dashbird on AWS Lambda are running Nodejs and Python runtimes. Is this purely a reflection of the general popularity of these programming languages?
Today’s release of Node.js integration supports PostgreSQL as well as all the consumers of the pg library.
What Are Runtime Metrics? Runtime metrics can help us understand how an application is performing. SolarWinds® AppOptics™, a SaaS-based, full-stack infrastructure and application monitoring tool, now reports four categories of runtime metrics: CPU, memory, garbage collection times, and event loop times. Each metric category provides a view into how resources are used by an application.