When it comes to logging tools, organizations often face a classic tech dilemma: build vs. buy. Should you invest in a robust, ready-to-use SaaS solution like Sumo Logic or dive into the customization rabbit hole with a PaaS option like Elastic? It's a debate as old as time—well, as old as software, anyway. Let's break it down in a way that actually makes sense, and hopefully, it’ll spark less drama than the pineapple-on-pizza debate.

Master Python logging with structlog! Learn how structured logs improve debugging, observability, and performance in your apps.

Learn how to manage and view systemctl logs in Linux with this guide, covering essential commands and best practices for troubleshooting.

If you're new to working with data, you might have heard of databases and data warehouses. But do you know what sets them apart? Knowing the differences between data warehouses and databases can clear up a lot of confusion for many people, especially with the volume of data we have these days. In this blog post, I'll discuss the differences between these two types of data systems. I'll also provide some examples to help illustrate the points made.

To upgrade, or not to upgrade. While that may not have been the question that Hamlet asked, it’s one you might be asking. You already made the mistake of asking Reddit, “should I do an in-place upgrade,” and, as expected, people had Big Opinions. A Windows Server Feature Update offers benefits, like performance and analytics. On the other hand, if you have problems, then your attempts can lead to business downtime and service disruption.

An audit and error trail is one of the core pillars of a well-designed software application, regardless of the programming language used to build it. This trail typically comes in the form of logging. When your application produces useful, rich logs, you are better equipped to successfully maintain a production-grade system and troubleshoot any issues that might arise. When it comes to distributed Python applications, having correlated logs for each system is important for debugging.

Managing log files effectively is crucial for ensuring a well-performing, reliable system. Logrotate, a popular log management tool, provides a flexible way to automatically rotate, compress, and remove old logs. Among its many configurations, two common approaches to trigger log rotation are size-based and time-based rotation. In this blog, we will explore the differences between these methods, compare their use cases, and help you decide which approach (or combination) suits your needs best.

For accurate and effective performance testing, synthetic monitoring has become a staple and this is only going to continue in the coming years. This is mainly due to the fact that this process is beneficial and offers numerous advantages to organizations. With synthetic monitoring, your organization can identify performance issues before they affect real users. By continuously simulating user interactions, your team can highlight and rectify performance bottlenecks and infrastructure issues in real time.

In today’s data-driven world, ensuring the security and compliance of your data pipelines is paramount. Cribl Stream and Cribl Edge offer powerful telemetry data management and enrichment solutions. However, deploying these tools within your environment often requires careful consideration of security and compliance standards.

I’ve been quite open about the many ways AI-driven projects can go wrong. With so many ways to fail, what makes Sumo Logic Mo Copilot set up for success? Let’s discuss each of these points in detail.