App hangs are the worst kind of bug: they don’t crash, they don’t log, and unless you're actively profiling, good luck catching them in the debugger. Maybe the main thread is blocked because it’s decoding a massive image with UIImage(data:). Maybe a background task is holding a lock or waiting on a DispatchGroup that never finishes. Maybe an async flow is stuck waiting on a continuation that never resumes.
In today’s digital-first and data-driven business landscape, accuracy, efficiency, and visibility are no longer optional—they’re expected. Whether you’re managing a retail chain, healthcare facility, logistics hub, or manufacturing unit, streamlined operations often begin with the smallest yet most critical component: the barcode.
We’re excited to share that Icinga for Kubernetes v0.3.0 is here! This release is packed with features designed to make monitoring your Kubernetes environments smoother, smarter, and more efficient. Let’s take a closer look at what’s new.
It sounds simple: You define metrics for success, you track them, and if they fail, you fix them. For decades, this was how businesses monitored their systems. However, a reactive monitoring approach, which alerts businesses about failures only after the issue has already impacted operations, became insufficient as digital architectures grew more complex.
In today’s digital-first workplace, it’s not enough to deploy new software. You need your teams to actually use it. That’s where digital adoption comes in. Digital adoption is the process by which individuals not only learn how to use digital tools but also integrate them into their day-to-day tasks in a way that enhances performance. True digital adoption means employees are using the right features, in the right context, to complete work with minimal friction and maximum confidence.
Grafana is a popular choice for monitoring and visualizing metrics, but login issues can quickly block your access and slow you down. Forgot your password? Can’t get into the admin account? Problems after changing authentication settings? These are some of the most common hiccups—and they’re usually easy to fix. This guide covers the frequent login problems you might face and walks you through practical ways to resolve them.
Elasticsearch does a lot right—it's fast, scalable, and makes searches feel simple. But when things slow down or break, figuring out what’s going on can be frustrating. Especially if you’re not keeping an eye on the right metrics. This guide covers Elasticsearch metrics that are worth tracking and how they help you keep your cluster healthy without data overload.
In a distributed system, things break in unexpected ways. That’s why observability isn’t optional—it’s how you understand what’s going on under the hood. If you’re comparing tools to instrument your services, OpenTelemetry and Micrometer are two names you’ll run into. Both are used to collect metrics, but they take very different approaches—especially when it comes to flexibility, vendor support, and what you can do with the data.
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!