Monitoring Redis for performance issues is critical. Redis is famous for its low-latency response while serving a large number of queries. There are certain key metrics that you can monitor to keep track of your Redis instance performance. In this guide, we will go through key Redis metrics that should be monitored and ways to collect these metrics with in-built Redis tools.
In this post, we will show you how to set up Redis monitoring with SigNoz - an open-source full-stack APM. SigNoz captures data using OpenTelemetry, which is becoming the world standard for instrumenting cloud-native applications. Apart from capturing metrics from your Redis server, you can also capture logs and traces with OpenTelemetry.
One of the easiest ways to see if the application running in our nodes is in an optimized state or not is by monitoring them. It is the last yet critical stage of any software development lifecycle. It opens up many possible improvements in your application, networking, IT automation, and other miscellaneous configurations. As we move towards microservice architecture, containerization and orchestration tools are rising.
Change happens gradually, and then suddenly.
It’s time for our monthly product updates. Closing GitHub issues, fixing bugs, shipping code, and sipping coffee, time flies by every month. Last month, we crossed a major milestone of 7000+ GitHub stargazers. We can not thank the developer community enough for supporting us in our mission to democratize observability.
Choosing the right API monitoring tool is critical. How do you know which is the right API monitoring tool for you? Here are the top 17 API monitoring tools, including open source tools for API performance monitoring.
Prometheus and InfluxDB are open-source projects created to make application performance monitoring a breeze. That is, of course, if you choose the option that covers your entire observability scope.
In this tutorial, we will learn about Docker container lifecycle. But first, let me share a personal anecdote. On a hot summer afternoon in 2021, my manager called me out of the blue and said, “Muskan, the project file you shared with me is not working on my machine. Could you please come over and fix the setup? It’s really urgent.” I rushed to his cabin and tried my best but could not fix the dependencies issues.
OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. An APM that can ingest telemetry data collected by OpenTelemetry can help you set up a robust observability stack.
OpenTelemetry can be used to instrument your Elixir applications to generate telemetry data. The telemetry data can then be visualized using an observability tool to monitor your Elixir application performance. In this tutorial, we will use OpenTelemetry Elixir libraries to instrument an Elixir application and then visualize it using SigNoz.
Docker containers are transient (lasting for a very short time), spawning quickly and in high numbers, which causes metrics bursts. This makes monitoring a challenge due to Docker's scaling and redeployment features. Docker stats is a built-in feature of Docker containers. The
docker stats command returns a live data stream of your running containers.