The latest News and Information on Observabilty for complex systems and related technologies.
Honeycomb is known for its incredibly fast performance: you can sift through billions of rows, comparing high-cardinality data across thousands of fields, and get fast answers to your queries. And none of that is possible without our purpose-built distributed column store. This post is an introduction to what a distributed column store is, how it functions, and why a distributed column store is a fundamental requirement for achieving observability.
In modern software systems, it is common for several developers to work on the same project simultaneously. Siloed working with infrequent merging of code in a shared repository often leads to bugs and conflicts that are difficult and time-consuming to resolve. To solve this problem, we can adopt continuous integration.
Every now and then, issues occur that disrupt the very fabric of global software engineering. Chief amongst them is the recent mass outage of Github. Github is a fundamental building block in software productivity, hosting over 190 million code repositories. Github hosts our code and libraries, runs build pipelines, and much more. It is a central hub of activity and it is consumed by tens of thousands of organizations.
The content delivery network (CDN) has been an integral part of application infrastructure for more than two decades. A CDN is critical to the end-user experience, but it is no longer considered to be just a caching server. It has evolved to provide security from cyber threats, including DDOS attacks along with front end optimization. Although CDN services are now an indispensable part of any application infrastructure, visibility into CDN performance remains limited.
A selection of questions and answers from our recent webinar on leveraging AIOps to run sustainable, blameless retrospectives.
Is GitOps changing observability as we know it? GitOps has been the buzz word in the DevOps space for several years. GitOps, to those that are not familiar, is an operational methodology for DevOps that leverages a continuous deployment approach with Git as the single source of ‘truth’ for declarative control over both infrastructure and applications.
After building Lightrun for the JVM – an easier way to get a better grasp on production applications written in Java, Scala, and Kotlin – we’re pleased to announce the release of Lightrun’s developer-native observability platform for Python!
