Operations | Monitoring | ITSM | DevOps | Cloud

Cyber crimes are expected to cost the world roughly $10.5 trillion per year by 2025, according to Cybersecurity Ventures. And these attacks don’t just cost money. Businesses impacted by these kinds of crimes can expect to experience not only financial losses but also loss of productivity, damage to their reputation, potential legal liabilities and more.

DevOps teams are used to working with data that is spread out across lots of different systems and environments. In organizations that have achieved tight collaboration with security teams to transition to DevSecOps, this is even more true! Log management is part of how all these teams keep track of information and make vital business decisions. It’s important to take a moment to understand what is meant by log management.

Your Apache HTTP server access and error logs contain a wealth of actionable insights about potential server configuration and web application issues. The problem is that this information is hidden within millions of log messages, so you need analytics to efficiently extract these insights so you can respond to problems before they impact your users. Apache log analysis revolves around two activities: monitoring and troubleshooting.

Understanding how NGINX performs can be overwhelming. There are many data points to follow, and it can be tricky to know which ones are relevant to you and which ones you can ignore. In this article, we'll explain how you can use AppSignal to monitor NGINX, expanding your visibility over your application's performance.

Want to build websites and apps in a way that’s both easier and cheaper? Well, it’s possible even for major organizations and international companies. In this article, let’s take a look at how serverless architecture and computing is changing the game for software developers. We’ll start at the very beginning and walk through how serverless works, how we got this far, and the pros & cons of this approach.

Upon its release in November 2022, ChatGPT stunned Silicon Valley and the world. OpenAI, a small company based in San Francisco, introduced a chatbot that mimics complex emotions, writes code and answers complex questions. Technology considered a decade away was now at everyone’s fingertips and quickly became the fastest-growing app in history. Just four months later, OpenAI launched a significant update, ChatGPT-4, and the results of this new technology are fascinating.

eBPF is a powerful technical framework to see every interaction between an application and the Linux kernel it relies on. eBPF allows us to get granular visibility into network activity, resource utilization, file access, and much more. It has become a primary method for observability of our applications on premises and in the cloud. In this post, we’ll explore in-depth how eBPF works, its use cases, and how we can use it today specifically for container monitoring.

‘THE MORE THE MERRIER!’ they say. A quick Google search of this popular phrase states that the more people or things there are, the better or more enjoyable a situation will be.

This release brings 60 enhancements, way up from the 37 enhancements in Kubernetes 1.26 and the 40 in Kubernetes 1.25. Of those 60 enhancements, 12 are graduating to Stable, 29 are existing features that keep improving, 18 are completely new, and one is a deprecated feature. Watch out for all the deprecations and removals in this version! The main highlight of this release is actually outside Kubernetes.