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The latest News and Information on Log Management, Log Analytics and related technologies.

Why Culture and Architecture Matter with Data, Part I

We are using data wrong. In today’s data-driven world, we have learned to store data. Our data storage capabilities have grown exponentially over the decades, and everyone can now store petabytes of data. Let’s all collectively pat ourselves on the back. We have won the war on storing data! Congratulations!

Structured, Unstructured & Semi-Structured Data

Many business organizations begin their data analytics journey with great expectations of discovering hidden insights from data. The concept of unified storage — data lake technologies in the cloud — have gained momentum in recent years, especially with the exponential options for cost-effective cloud-based storage services. Big data is readily available. In fact, 2.5 quintillion (2.5 x 10^18 or 2.5 billion billion) bytes generated every day!

10 Best Log Management Tools

Logs are imperative for troubleshooting, performance analysis, health monitoring, and application integrity and security. Log management tools clearly understand how users interact with apps and systems and provide insight into improving software reliability, increasing productivity, reducing risks, and ultimately improving the user experience. Through log management tools, users can further integrate and enrich all of their logs, making queries quicker and more effective.

It's time for government to move beyond monitoring and into observability

When thinking about holistic end-to-end observability, it can help to start with what you already have. Many government agencies are already strategically ingesting and storing logs — a key component of observability. More than a year and a half after the release of M-21-31, US government agencies continue to work through the logging maturity models outlined in the memorandum.

Complete Guide on Docker Logs [All access methods included]

Docker logs play a critical role in the management and maintenance of containerized applications. They provide valuable information about the performance and behavior of containers, allowing developers and administrators to troubleshoot issues, monitor resource usage, and optimize application performance. By capturing and analyzing log data, organizations can improve the reliability, security, and efficiency of their containerized environments.