HAProxy offers a powerful logging system that allows users to capture information about HTTP transactions. As part of that, logging headers provides insight into what's happening behind the scenes, such as when a web application firewall (WAF) blocks a request because of a problematic header. It can also be helpful when an application has trouble parsing a header, allowing you to review the logged headers to ensure that they conform to a specific format.

In today's fast-paced and ever-changing digital landscape, maintaining digital resilience has become a critical aspect of business success. It is no longer just a technical challenge but a crucial business imperative. But when observability teams work in their own silos with tools, processes, and policies, disconnected from the security teams, it becomes more challenging for companies to achieve digital resilience.

Amid a big data boom, more and more information is being generated from various sources at staggering rates. But without the proper metrics for your data, businesses with large quantities of information may find it challenging to effectively and grow in competitive markets. For example, high-quality data lets you make informed decisions that are based on derived insights, enhance customer experiences, and drive sustainable growth.

As modern IT systems grow more elaborate, encompassing hardware and software across hybrid environments, the prospect of managing these systems often grows beyond the capacity an IT team can handle. Automation is one great way to help. But it's important to know that not all automation is the same — chatbots are probably not the solution your team is looking for to handle these incredibly complex systems.

“When you peel back business issues, more times than not, you will find that the root cause is directly tied to data problems,” says Matthew Minetola, CIO at Elastic®. In today's world, all companies, new and old, are awash in data from multiple sources — stored in multiple systems, versions, and formats — and it’s getting worse all the time.

Data Lakes can be difficult and costly to manage. They require skilled engineers to manage the infrastructure, keep data flowing, eliminate redundancy, and secure the data. We accept the difficulties because our data lakes house valuable information like logs, metrics, traces, etc. To add insult to injury, the data lake can be a black hole, where your data goes in but never comes out. If you are thinking there has to be a better way, we agree!

Extracting insights from log and security data can be a slow and resource-intensive endeavor, which is unfavorable for our data-driven world. Fortunately, lookup tables can help accelerate the interpretation of log data, enabling analysts to swiftly make sense of logs and transform them into actionable intelligence. This article will examine lookup tables and their relationship with log analysis.

The Content Delivery Network (CDN) market is projected to grow from 17.70 billion USD to 81.86 billion USD by 2026, according to a recent study. As more businesses adopt CDNs for their content distribution, CDN log tracking is becoming essential to achieve full-stack observability. That being said, the widespread distribution of the CDN servers can also make it challenging when you want visibility into your visitors’ behavior, optimize performance, and identify distribution issues.