Operations | Monitoring | ITSM | DevOps | Cloud

Solving system failures and performance issues can be like solving a tough puzzle for engineers. But trace data can make it simpler. It helps engineers see how systems behave, find problems, and understand what's causing them. So let’s chat about why trace data is important, how it's used for finding the root cause of issues, and how it can help engineers troubleshoot more effectively.

A quieter month this time around: you can now customize your status pages, there are additional overall statuses for status pages, and I fixed a few bugs.

In the observability space, ease-of-use has always been a key differentiator for Grafana. As much as we want to offer a powerful observability platform to our users, we also want to ensure they can get up and running as quickly as possible. Still, for those of you sitting down to build your first dashboard, we totally understand that a little guidance can go a long way.

Microsoft Azure is the most popular cloud computing platform after Amazon Web Services (AWS). With over 200 services and resources available, there are plenty of ways to use Azure. This means the Azure public cloud allows hundreds, if not thousands, of unique configurations. This flexibility is ideal for tailoring Azure to your workload’s requirements but also makes cloud management more challenging.

Kafka’s bread and butter is real-time data streaming, but like any complex system, it can run into performance issues. These problems often sneak up as your cluster scales, leading to bottlenecks, slowdowns, or even crashes if left unchecked. The good news? Most of these issues are fixable with the right diagnosis and a few tweaks. In this blog, we’ll look at some of the most common Kafka performance issues and provide practical solutions to get things running smoothly again.

Docker is an open-source container service provider, designed to help developers build, run, and share container applications. Users building and running these container applications need to conduct effective debugging and monitoring practices and for this, they have turned to Docker logging. To understand the importance of this, the latest edition of our how-to guide series surrounds Docker.

The complexity of modern software systems has reached unprecedented levels. Comprehensive monitoring and observability have become paramount as organizations continue embracing cloud-native architectures, microservices, and distributed systems. Enter full stack observability - a game-changing approach that's revolutionizing how we understand and manage our IT environments.

Staying on top of your third-party Cloud and SaaS service outages is crucial to maintain the reliability of your own applications. Like many modern teams, Slack might be your communication tool of choice. You can keep up with such incidents by pushing these events to a Slack channel. There are different ways of pushing incident events to Slack. In this article we will explore how to integrate IncidentHub incident lifecycle events using an incoming webhook.

At Spectate, we're committed to helping you improve the reliability of your websites and applications. We believe that reliability shouldn't come at a high cost, which is why we're excited to announce that today we announce a major update to our pricing plans making them more affordable and accessible for businesses of all sizes to improve their reliability and efficiency in incident management.