Operations | Monitoring | ITSM | DevOps | Cloud

If you’ve worked with Kubernetes, you know logs are essential for understanding what’s happening inside your clusters. However, unlike traditional servers, Kubernetes logs present their unique challenges. Pods frequently start and stop, containers restart regularly, and logs stored locally can be lost quickly. Because of this, managing logs in Kubernetes requires a different approach.

Today, we are happy to celebrate Elastic and AWS committing to a five-year strategic collaboration agreement (SCA). Our collaboration underscores the efforts of Elastic and AWS to provide you with increased speed and greater flexibility as you adopt generative AI technology.

We’re thrilled to announce the Beta launch of Logz.io Dashboards – a major step forward in how engineers and DevOps teams visualize and analyze their telemetry data. For the first time, Logz.io users can now create dashboards that bring together logs, metrics, and traces in a single unified view — making it easier than ever to monitor performance, detect issues, and troubleshoot incidents without switching tools or losing context. This launch is more than just a product update.

By Sara Miteva Sr. Product Marketing Manager, Checkly ‍ Modern applications are complex. Microservices, third-party dependencies, and continuous deployments all contribute to a flood of telemetry data—logs, metrics, traces—flying in from every direction.

Cloud computing has become the backbone of modern business operations, powering everything from day-to-day collaboration to large-scale digital transformation initiatives. As organizations deepen their reliance on cloud services, the financial stakes continue to grow. According to Gartner, global spending on public cloud services is projected to reach over $720 billion in 2025, a significant increase from nearly $600 billion in 2024.

Logs are a key part of building and running software, but managing them can get complicated fast. As your apps grow and generate logs from many sources, choosing the right tool to store, search, and analyze those logs becomes important. Graylog and Loki are two popular options, each with a different way of handling logs. In this blog, we’ll break down the main differences between Graylog and Loki, how they work, and which types of projects they suit best.

VPC Flow Logs come with a default format that gives you basic network traffic details. But you can tweak the format to capture exactly what you need. This can lower costs, speed up processing, and make your logs fit better with what you’re trying to monitor. If you want to improve security, keep an eye on performance, or save money, adjusting your VPC logs can make a big difference. Let’s take a look at some practical ways to customize your logs beyond the default settings.

Security, operations, and development teams rely more and more on the ability to efficiently query logs. As these teams monitor the health, performance, and usage of their systems and investigate incidents, delving into log data can often be a matter of urgency.

When an alert fires, your goal is clear: fix the problem—fast. But traditional troubleshooting rarely makes that easy. You’re immediately thrown into decision mode: All the while, the clock is ticking. The longer you’re stuck guessing what to do next, the longer your downtime drags on, and the more non-value-added engineering time you burn.

If you’ve ever wrangled sidecars or sprinkled instrumentation code just to get basic trace data, you know the setup overhead isn’t always worth the payoff. But what if it was… just easier? That’s where the OpenTelemetry Operator for Kubernetes steps in… and it plays great with Coralogix out of the box!