Operations | Monitoring | ITSM | DevOps | Cloud

If you’re reading this, chances are you’re already familiar with OpenTelemetry (OTel)—the open-source standard for collecting observability data. But what about OpenTelemetry agents? How do they work, and why do they matter? This guide unpacks everything you need to know about OTel agents—where they fit in your stack, how to set them up, and common pitfalls to watch out for. Let’s get into it.

Nginx is widely known for its high performance and reliability. However, just like any software running in production, it requires continuous monitoring to ensure smooth operation. Issues such as high latency, unexpected crashes, or overwhelming traffic spikes can lead to performance degradation or even complete outages. Therefore, implementing a robust monitoring strategy is crucial to maintaining the health and stability of your Nginx deployment.

Network automation platforms have many self-evident benefits. They empower NetOps teams to accomplish a lot more in a lot less time. More specifically, network engineers can automate simple tasks so that they can focus on more important, big-picture objectives. These platforms can streamline multiple processes before uniting them into a single, seamless flow.

As software grows ever more complex, the growing trend of Internal Development Platforms (IDPs) is becoming undeniable. It doesn't matter if you are the next AI super company or a small tech startup—if you are building software, you should consider having a repeatable set of practices and tooling in place to remove developer friction and supercharge operations. IDPs can be used to solve a number of issues, from context switching and lack of collaboration to lack of visibility and security risks.

The recent introduction of the DeepSeek R1 (DeepSeek) Large Language Model (LLM) has shaken up the AI landscape, suggesting that new low-cost and open-sourced providers could enter the market. This disruption creates huge opportunities for service providers to drive innovation and for their vendors and suppliers to enhance or innovate in economically feasible ways.

Every development team has a workflow. But if it’s not standardized, it’s quietly draining time, energy, and productivity—without you even realizing it. A lack of consistent processes in branching, PRs, code reviews, and deployments doesn’t just create friction—it’s a silent tax on your entire team. And the cost? Easily 20+ hours per developer per month spent fixing avoidable issues instead of shipping great code.

The fastest website is the website that is already loaded, and that’s exactly what HTTP caching delivers. HTTP caching is a powerful technique that lets web browsers reuse previously loaded resources like pages, images, JavaScript, and CSS without downloading them again. Understanding HTTP caching headers is essential for web performance optimization, but misconfiguration can cause big performance problems.

One of the biggest causes of outages and incidents is good old-fashioned human error. Despite all of our best intentions, we can still make mistakes, like forgetting to change defaults, making small typos, or leaving conflicting timeouts in the code. It’s why 27.8% of unplanned outages are caused by someone making a change to the environment. Fortunately, reliability testing can help you catch these errors before they cause outages.

Jenkins is the backbone of many CI/CD pipelines, automating builds, tests, and deployments at scale. However, when handling high-traffic workloads, such as during peak development hours, large-scale deployments, or parallel builds and pipelines, Jenkins can quickly become a resource hog, leading to slow builds, queue backlogs, and even system crashes. Optimizing resource usage is essential to ensure smooth, efficient, and scalable performance.