Modern web applications are more reliant on the frontend than ever before. While there are many benefits to this approach, one downside is that developers can lose visibility into issues when things go wrong. When the application experience is degraded, engineers are left waiting for users to report issues and share browser logs. Otherwise, they might be left in the dark and unaware that any issues exist in the first place.
What’s the point of collecting a lot of data if you don’t have the tools and power to analyze it? In this Log’s Honest Truth podcast, presented in partnership with ITSP Magazine, Devo’s VP of Customer Success, Jill Orhun, discusses the confessions of “Mr. V,” a digital security and fraud director. His face and voice are disguised, but there’s no disguising his frustrations. Listen to the podcast. “Mr.
In this article, we are going to explore the process of ingesting logs into your data lake, and the value of importing your firewall logs into Coralogix. To understand the value of the firewall logs, we must first understand what data is being exported. A typical layer 3 firewall will export the source IP address, destination IP address, ports and the action for example allow or deny. A layer 7 firewall will add more metadata to the logs including application, user, location, and more.
It’s no secret that Jaeger and OpenTelemetry are known and loved by the open source community — and for good reason. As part of the Cloud Native Computing Foundation (CNCF), they offer one the most popular open source distributed tracing solutions out there as well as standardization for all telemetry data types.
Whether it’s during an incident to find the root cause of the problem or during development to troubleshoot what your code is doing, at some point you’ll have an issue that requires you to search for the proverbial needle in your haystack of logs. Loki’s main use case is to search logs within your system. The best way to do this is to use LogQL’s line filters. However, most operators are case sensitive.
The concept of observability goes back many, many years. Engineers used observability to understand the complex analog systems that were built to send rockets into space and to predict and understand failures. Today, DevOps, ITOps, and SecOps use observability in much the same way—to predict and understand system failures. Still, observability is a complex concept that can be difficult to grasp.