Logs are the notetakers for your Java application. In a meeting, you might take notes so that you can remember important details later. Your Java logs do the same thing for your application. They document important information about the application’s ability to function and problems that keep it from working as intended. Logs give you information to help fix coding errors, but they also give your end users information that helps them monitor performance and security.

Data growth is growing at an extraordinary pace, with a compound annual growth rate (CAGR) of 28% projected over the next few years. For organizations dealing with logs, metrics, and traces, this massive data expansion brings both opportunities and challenges. As data volumes soar, having flexibility in where you store and analyze it—whether in a SIEM, object storage, or other platforms—has become essential.

A few years ago, I had a play with HTTP logging added in ASP.NET Core 6. ASP.NET Core 8 introduced a set of additional configuration options that I believe are essential to make this feature usable. I will recap the details from the previous post below, but for more context, the first part of this series is here. In this post, I'll go through some of the changes introduced in HTTP logging since last. Before I jump into the improvements, let's recap how to set up HTTP logging.

Solving system failures and performance issues can be like solving a tough puzzle for engineers. But trace data can make it simpler. It helps engineers see how systems behave, find problems, and understand what's causing them. So let’s chat about why trace data is important, how it's used for finding the root cause of issues, and how it can help engineers troubleshoot more effectively.

Docker is an open-source container service provider, designed to help developers build, run, and share container applications. Users building and running these container applications need to conduct effective debugging and monitoring practices and for this, they have turned to Docker logging. To understand the importance of this, the latest edition of our how-to guide series surrounds Docker.

Are your developers using the latest AI-ready platforms to power ahead with innovation? If not, then it’s time to re-evaluate your platform strategy.

During our webinar, Next Gen Log Management: Maximize Log Value with Telemetry Pipelines, we discussed how you can take your log management strategy to the next level with telemetry pipelines and unlock the full potential of your data. Bill explained that the rapid growth of log data is driving up storage and management costs. He emphasized the need for an intelligent, adaptable log management system to efficiently handle this situation.

How Proficio leveraged Elastic Security on AWS to revolutionize threat detection and response In today’s rapidly evolving digital landscape, maintaining robust cybersecurity defenses has never been more critical. Proficio, a leading managed security services provider, faces the continual challenge of monitoring an expansive array of data points and potential vulnerabilities.

When monitoring your logs metrics and traces it’s crucial that you can detect issues early to ensure the uptime of applications, alleviate bottlenecks, and enhance the performance of your systems. If you’re an experienced developer or IT professional this is a straightforward task when you’re viewing the data in front of you. However, when you aren’t viewing your data, it's just as important to guarantee that your systems are functioning optimally. This is achieved through alerts.

Has your organization finally developed that game changing generative AI application? Is your CTO, CIO, or CEO banking on it being a success? I bet they are! Now, here’s the big question: Are you prepared to monitor and troubleshoot your new application once users get engaged? Fear not, my boy Derek Mitchell has you covered with two incredible Splunk Lantern articles which goes deep into how Splunk Observability Cloud allows you to instrument GenAI apps to gain critical observability insights.