Operations | Monitoring | ITSM | DevOps | Cloud

Building a Real Time Metrics Database at Datadog

In the course of its eight years of existence, Datadog has grown its real time metrics systems that collect, process, and visualize data to the point they now handle trillions of points per day. This has been based on an architecture combining open source technologies, such as Apache Cassandra, Kafka, and PostgreSQL, with a lot of in-house software for in-memory data storing and querying.

Announcing Graylog 3.1 RC 1

Today we are releasing the first Release Candidate of Graylog v3.1. This release brings a whole new alerting and event system that provides more flexible alert conditions and event correlation based on the new search APIs that also power the views. In addition, some extended search capabilities introduced in Graylog Enterprise v3.0 are now available in the open source edition in preparation for unifying the various search features.

Leading Chief Data Scientists Weigh in on Building Time Series Anomaly Detection

In our recent webinar on what it takes to build time series anomaly detection, industry experts Arun Kejariwal, Ira Cohen and Ben Lorica shared valuable advice for ways to successfully implement and execute anomaly detection systems in today’s increasingly complex corporate world.

Announcing Single Sign-On (SSO) Support for CHAOSSEARCH

We are thrilled to announce that we now offer Single Sign-On (SSO) support for ALL customers on the CHAOSSEARCH platform. You can now integrate your existing identity provider with CHAOSSEACH and have your users access the platform without needing to manage a separate set of credentials.

Seeing is Believing: Announcing the DevOps Pulse 2019 with a Focus on Observability

In the world of Software Engineering, observability seems to be the talk of the town. We discuss it at conferences, read about it in blogs or articles, and see it promised to us by vendor after vendor. But what is observability? What issues have recently evolved to make it such an integral concept? What strategies are engineers employing to ensure observability? And most importantly of all, why are engineers looking to achieve it?

How to Monitor Fastly CDN Logs with Sumo Logic

In the last post, we talked about the different ways to monitor Fastly CDN log and why it’s crucial to get a deeper understanding of your log data through a service like Sumo Logic. In the final post of our Fastly CDN blog series, we will discuss how to use Sumo Logic to get the most insights out of your log data — from how to collect Fastly CDN log data to the various Sumo Logic dashboards for Fastly.

Monitor your customer data infrastructure with Segment and Datadog

This is a guest post by Noah Zoschke, Engineering Manager at Segment. Segment is the customer data infrastructure that makes it easy for companies to clean, collect, and control their first-party customer data. At Segment, our ultimate goal is to collect data from Sources (e.g., a website or mobile app) and route it to one or more Destinations (e.g., Google Analytics and AWS Redshift) as quickly and reliably as possible.