Operations | Monitoring | ITSM | DevOps | Cloud

As your time series data grows, managing increasing workloads can quickly become a headache. High data ingestion rates, numerous (and complex) queries, intensive processing tasks, and routine maintenance like data compaction often compete for limited resources. This leads to unpredictable performance and slower response times, and common solutions often introduce operational complexity.

You know how important ensuring your business's round-the-clock availability is, especially if you operate across different time zones. With online businesses, marketing and sales never stop, catering to consumers 24/7 through chatbots, AI assistants, and server redundancy.

Breakpoints and console.log statements might save your sanity during local dev, but production issues are another story. In prod, your errors might be distributed across different microservices, or hidden in minified code. Good luck hunting those down. That’s where Sentry’s traces and spans come in, offering you easy visibility into every network request, API call, DB fetch and more in a full-stack, distributed environment.

Redis Monitor is a simple yet powerful command-line tool that displays every command processed by a Redis server in real-time. It provides visibility into exactly what’s happening inside a Redis instance as it happens. Running a single command can uncover hidden performance issues: The output reveals thousands of unexpected HGETALL operations on a key that should be accessed infrequently. This exposes a Redis call inside a loop, causing unnecessary database strain.

Understanding Sumo Logic pricing can be challenging, with complex tiers and varying costs. This guide provides a clear, straightforward breakdown to help you navigate Sumo Logic’s pricing structure effectively.

There’s nothing like debugging a broken system at 2 AM, running on caffeine and frustration. When everything’s on fire, logs are your lifeline. That’s where trace-level logging comes in. Unlike standard logs, it captures the step-by-step execution of your code—think of it as the difference between a crime report and full CCTV footage. But more logs don’t always mean better debugging. Too much detail, and you’re drowning; too little, and you’re guessing.

Here’s a recap of the new features we introduced in March to enhance status page reliability, improve monitoring insights, and expand service coverage. Let’s revisit what was added throughout the month! We’ve also announced a unique scholarship opportunity for students.

There are many ways to interact with the data that Icinga 2 collects, processes, and produces. The most common is probably Icinga Web, which displays checks in all the colors of a traffic light. Icinga 2 also comes with several metrics or performance data writers. But that is not all. Icinga 2 has open interfaces to integrate all kinds of third-party tools if one is not afraid to write a little glue code.

With the increasing complexity of modern applications and cloud infrastructures, monitoring and observability have become essential for maintaining performance, reliability, and security. Organizations need tools that provide actionable insights into their systems, enabling them to detect issues early and optimize resource usage. Two leading monitoring solutions in the market today are Datadog and Amazon CloudWatch.