Thomas Stocking, co-founder and vice president of product strategy, recently wrote an article titled Entering a Golden Age of Data Monitoring, featured in APM Digest. The article talks about three factors obscuring the benefits of data monitoring (the infinite volume of data, its diversity, and inconsistency), benefits of monitoring data, and the future of monitoring data—all fueling a “golden age” of systems monitoring.
BOSTON and TEL AVIV, June 13, 2018 — Logz.io, the leading provider of AI-powered log analytics, releases a specialized Docker Logging Plugin, enabling users to easily ship container logs to Logz.io. The Docker Logging Plugin was created to relieve many of the common issues developers experience when shipping container logs such as complex configuration, accidental pausing of container shipments, and potential loss of data.
First and foremost, we are human. We can’t get around it, and some things will make us anxious, frustrated, and mad. As much as we like to think we are optimists, we frequently don’t notice something until it disappoints us in some way. In this article, we will take a look at how web performance and psychology impact user satisfaction.
In A Comedy of Errors, we talk to engineers about the weirdest, worst, and most interesting application and infrastructure issues they’ve encountered (and resolved) over the years. This week, we hear from Or Weis, co-founder and CEO of Rookout. Rookout’s focus is on collecting data in a seamless, immediate way that maximizes a developer’s insight into live code.
When you think of the top 100 sites in the world, you think of high-traffic domains and pages coded to perfection. In fact, even the most popular sites in the world have errors hidden behind the scenes that are still visible in your browser’s developer tools. These can affect your experience as a user directly, create inaccurate tracking data and security vulnerabilities, and even lose the company revenue.
Why could a spike itself not always be good news? Why is it so important to find the relationships between time series metrics at scale?
