Operations | Monitoring | ITSM | DevOps | Cloud

Node.js is an open-source runtime environment, frequently used for backend development, and enables developers to build scalable, high-performance apps that can easily handle a vast amount of simultaneous connections. The solution is suitable for network applications scalable for real-time web apps, RESTful APIs, microservices, and chat apps.

In a perfect world, there wouldn’t be any errors or bugs in production applications. However, we don’t live in a perfect world, and from experience, you know there is no such thing as a bug-free application. If you are using the Laravel framework, you can leverage its log tracking and error logging to catch bugs early and enhance the performance of your Laravel-based application.

Working at Coralogix, a leading full-stack observability platform, I recently faced an interesting challenge. The team I am part of is building the DataPrime query language and query engine, used to easily query logs and other observability data on the platform, usually in the form of Parquet files on AWS S3. Inside the engine, our DataPrime queries are transformed into query plans with SQL-like expressions, for example in filters.

If The Notorious BIG – the artist behind the iconic song "Mo Money Mo Problems" – had been an IT operations engineer, he might instead have labeled his hit "Mo Clouds Mo Problems." Why? Because the more clouds you have to manage and monitor, the more problems you're likely to run into.

Exciting news: it’s now possible to build a custom distribution of the OpenTelemetry Collector and remotely manage it with BindPlane. Though not all of BindPlane’s capabilities are available when managing a custom distribution (yet), it’s #prettycool, as it cracks open the door for teams looking to BYOF (bring your fleet), and manage them with our OTel-native telemetry pipeline.

Observability has become essential for efficient system management, and OpenTelemetry is leading the way in this field. The OpenTelemetry Collector Contrib is an important tool for gathering telemetry data, providing developers and IT professionals with a flexible and powerful way to manage observability. We want to help you learn how to set up the OpenTelemetry Collector Contrib. We'll point out common issues and offer effective troubleshooting strategies.

As more and more applications are delivered daily, it’s becoming increasingly difficult for teams to onboard and manage them manually. To keep up with this demand, many teams are embracing automation in application delivery and management, with Kubernetes being a popular tool of choice. While Kubernetes’ scalability helps manage application infrastructure sprawl, there is still a need to collect data from the applications directly and from Kubernetes to monitor the growing beast itself!

Managing Docker container logs is essential for debugging and monitoring application performance. Tailoring Docker logs allows for real-time insights, quick issue resolution, and optimized performance. This guide focuses on efficient methods for tailing Docker logs, with clear examples and command options to streamline log management.