In vino veritas, right? During a recent team gathering in Kraków, Poland, and after several yummy bottles of țuică, vișinată, żubrówka, diluted with some beer, the truth came out – even though we run Logsene, a log management service that you can think of as hosted ELK Stack, some of us still ssh into machines and grep logs! Whaaaaat!? What happened to eating our own dog food!?

Imagine you’re a detective trying to solve a crime, but all the evidence is invisible. Sounds impossible, right? That’s exactly what it’s like trying to debug a Java application without proper logging. Java logging is your magnifying glass, your fingerprint kit, and your trusty notepad all rolled into one. It’s the unsung hero that helps you understand what’s going on under the hood of your application. But logging isn’t just about catching bugs.

Imagine waking up to a critical system failure that has brought your business operations to a standstill. Panic sets in as you scramble to understand what went wrong. You sift through various error messages, desperately trying to pinpoint the issue.

Websites are no longer static pages. They’re dynamic, transaction-heavy ecosystems where every click, form submission, and login matters. Whether you’re in e-commerce, SaaS, or finance, transaction failures can lead to revenue loss, frustrated customers, and even damage to your brand. That’s where web transaction monitoring tools come in — a critical component to make sure every interaction goes smoothly.

It’s 2 AM, and your phone buzzes with an urgent alert—your primary server application is down, and users are flooding the support channels with complaints. As you dive into the logs, the cause is elusive, buried somewhere in the sea of system events. Is it a rogue service eating up memory? A failing disk? Or a network bottleneck? Without powerful Windows monitoring tools, you’re left troubleshooting in the dark.

Ever found yourself drowning in a sea of log data, struggling to make sense of the overwhelming noise? Or perhaps faced a major system breakdown, only to find that your logs didn’t provide the answers you needed, leaving you in the dark? Effective logging is a critical yet often overlooked aspect of software development and operations, highlighting why logging is important – it’s the foundation upon which observability, troubleshooting, and system maintenance are built.

Logs act as silent sentinels, recording every whisper of your application’s activity. They are invaluable chronicles illuminating system behavior, diagnosing issues, and providing crucial insights into your application’s health. However, the true power of logs lies not just in their existence, but in how they are formatted. Log formatting is pivotal in transforming these raw data streams into actionable intelligence.

Running a Kubernetes cluster includes keeping an eye on it to make sure your apps and services are healthy. You don’t want to be staring at a bunch of Kubernetes dashboards all day, though. You want to set up kubernetes alerting with appropriate alerts instead, right? With k8s alerts, you will spot problems quickly in your Kubernetes cluster and hopefully fix them quickly as well. But what should you alert on? Here are the top 10 most important alerts you should set up for your Kubernetes cluster.

Launching a mobile App is no walk in the park, especially when it comes to your App’s store position and ratings. One of the trickiest parts is maintaining a good App store rating. An App’s store ratings are the key to its success. If you’re serious about your App succeeding in an oversaturated market, it is vital to implement strategies to both increase and maintain your App’s store ratings.

In the world of modern business, data drives decision-making. Every interaction, every transaction, and every click generates a series of data in the form of logs. These logs, often seen as plain text records, have the potential to unlock valuable business insights when analyzed correctly. In How to Create Log-Based Metrics to Improve Application Observability, we described the process of creating log-based metrics to improve application observability using Sematext Cloud.