The latest News and Information on Log Management, Log Analytics and related technologies.
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.
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!
Flaky tests are a problem that are found in almost every codebase. By definition, a flaky test is a test that both succeeds and fails without any changes to the code. For example, a flaky test may pass when someone runs it locally, but then fails on continuous integration (CI). Another example is that a flaky test may pass on CI, but when someone pushes a commit that hasn’t touched anything related to the flaky test, the test then fails.
