Python’s built-in logging module is designed to give you critical visibility into your applications with minimal setup. Whether you’re just getting started or already using Python’s logging module, this guide will show you how to configure this module to log all the data you need, route it to your desired destinations, and centralize your logs to get deeper insights into your Python applications.
When most people think of job scheduling, they think of all different sorts of things. Container orchestration, serverless allocation, batch job running… all of these things qualify. In highly concurrent systems, it is important that you can schedule work to be done and be able to collect those results upon completion. In the world of high-performance, low-latency systems software, those jobs take on a whole different flavor.
Lumigo VP Product Avishai Shafir rounds up the most interesting talking points from the three-day Serverless Architecture Conference, held in The Hague, Netherlands.
In distributed, microservices environments DevOps and SRE teams are challenged with the burden of converting metrics, logs, and traces from the entire fleet of disparate microservices components into a cohesive and manageable observability system that identifies, debugs and resolves performance issues. The sheer number of components, dynamic and ephemeral nature of container deployments, and the variability in the data formats makes this an extremely complex, ever-changing challenge.
Since Elastic APM was introduced in June 2017, it has quickly grown into a full-fledged APM solution. With Elastic APM, we’re consistently progressing and building valuable new features for our customers. The APM UI is designed to provide developers and operations with a highly curated and user-friendly dashboard to quickly analyze and debug the vast amounts of data coming from the APM agents.
We have been working on a new panel and component architecture for the last half year (or more), and it’s finally starting to bear fruit in terms of new visualizations and capabilities.
Does it seem like every day we’re doing the same quick fixes? Deleting temporary files to free up space in a file system, bouncing a server, restarting a queue. Over and over. Whether automating these simple tasks or not, you’re responding to incidents that have already affected someone instead of making changes to prevent them from ever happening again.