Operations | Monitoring | ITSM | DevOps | Cloud

Our blog covers practical insights into Golang logging, including how to use the log package, popular third-party libraries, and tips for structured logging.

The latest LM Studio 0.3 update has made Elastic’s AI Assistant for Security run with an LM Studio-hosted model easier and faster. In this blog, Elastic and LM Studio teams will show you how to get started in minutes. You no longer need to set up a proxy if you work on the same network or locally on your machine.

This is one of a series of blog posts that explain how the Cribl SRE team builds, optimizes, and operates a robust Observability suite using Cribl’s products. If you haven’t, we encourage you to read the previous blog about how the Cribl SRE team uses our own products to achieve scalable observability. We installed Cribl Edge on the machines we manage for our users and use it to gather metrics.

While “America runs on Dunkin”, IT increasingly runs on Linux. Between being open-source and highly customizable, everything from video games to enterprise servers can run on Linux. When cloud services took over the corporate IT environment, they brought Linux with them in the form of virtual servers and containers. Meanwhile, developers increasingly use Linux-based Docker to containerize applications and Kubernetes to manage the deployments.

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.