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.

Single pane of glass monitoring is a term used to denote monitoring applications with a single tool that provides a comprehensive set of dashboards for the entire software system of an organization. Managing multiple monitoring tools for different aspects of the IT system becomes too cumbersome. And that’s how the concept of a single pane of glass monitoring evolved.

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.

Choosing the right distributed tracing tool is critical. How do you know which is the right one for you? Here are the top 13 distributed tracing tools in 2022 that can solve your monitoring and observability needs.

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.

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. For OpenTelemetry visualization, you need to use a backend that can ingest the collected data and provide a web UI to visualize it.

Nestjs is a Nodejs framework for building scalable server-side applications with typescript. It makes use of frameworks like Express and Fastify to enable rapid development. It has gained wide popularity in recent times, and many applications are making use of the Nestjs framework.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) incubating 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. And that’s where an OpenTelemetry backend is needed.

Both Kibana and Grafana are data visualization tools providing users capabilities to explore, analyze and visualize data with dashboards. The difference between Kibana and Grafana lies in their genesis. Kibana was built on top of the Elasticsearch stack, famous for log analysis and management. In comparison, Grafana was created mainly for metrics monitoring supporting visualization for time-series databases.