Operations | Monitoring | ITSM | DevOps | Cloud

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.

If you are a candidate looking for your next role that involves an in-depth knowledge of Elasticsearch and the wider Elastic Stack then you will want to revise beforehand. In this resource guide on the top ELK interview questions, we've listed all of the leading questions that candidates are commonly asked about Elasticsearch, Logstash & Kibana (and their contemporary tools and plugins) alongside the answers. Want to improve your knowledge further?

In the era of data abundance, there exists a significant need for database systems that can effectively manage large quantities of data. For certain types of applications, an oft-considered option is Apache Cassandra. Like any other piece of software, however, Cassandra has issues that could potentially impact performance. When this happens, it’s critical to know where to look and what to look for in the effort to quickly restore service to an acceptable level.

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.

Monitoring services and applications in just a few clicks – that’s the dream of every SRE and developer, but this is very difficult because most applications don’t expose metrics in a standardized format. This article will introduce the current pros and cons of the Prometheus exporters ecosystem and how we leveraged the power of the open-source exporters in Sysdig to radically simplify the user experience to allow you to monitor your applications in just a few clicks.

Last year we cooked a holiday ham using Sysdig. Honestly, just revisiting that makes me hungry, but it got me thinking. What about dessert? Today, I’d like to discuss baking a pie and eating it with Prometheus Remote Write. But not just any pie: a Raspberry Pi. Specifically, I’d like to introduce you to Pi-hole, an open-source project that has become very popular in the community. In this article you’ll learn how easy is Monitoring Pi-hole with Prometheus Remote Write.

We are excited to announce that Prometheus Remote Write functionality is now generally available in Sysdig Monitor. This feature allows Prometheus users to easily push metrics directly from their Prometheus servers to Sysdig’s Managed Prometheus Service. Sysdig Monitor provides not only a scalable long term storage solution for custom metrics but also radically simplifies Prometheus monitoring.

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.