Join product manager Stephen Lechner as he introduces Datadog’s newest log management features, from nested pipelines to deep-linking log events and traces.
Reza Javidi, the Director of DevOps and SRE at OpenFit walks through the migration to a serverless architecture based on learnings from Beachbody, and why he chose Datadog Cloud Functions to monitor that transition.
Datadog recently hosted the NYC Kafka Meetup. Presenters included Jamie Alquiza (Datadog), Stephen Dotz (NY Times) and Michael Kaminski (NY Times). Jamie shared how Datadog conducts capacity planning for Kafka, and the NY Times team shared how their publishing pipeline works.
Greg Shackles discusses how monitoring Windows processes in real time, along with business metrics such as orders processed and user signups, helps bring Olo together as a company to meet their goals.
Paul Whyte discusses how Datadog has reduced Funding Circle’s MTTA and MTTR, ensuring borrowers and investors always have a fantastic experience on their platform.
Nick Vecellio discusses using Datadog to monitor Wayfair’s distributed systems, which span across multiple on-premises data centers, the cloud and Kubernetes.
Container image security scanners are one of several tools we use in our development process to ensure the software that we ship to our customers is reliable and safe. In this talk, we’ll discuss our approach to continuous vulnerability monitoring (spoiler: it’s all automated), and how it increases our responsiveness while decreasing our operational cost.
In this session, Balthazar Rouberol discusses how he is using Kafka-Kit and Kubernetes to manage and scale the Kafka clusters that power Datadog's metric pipelines. Gwen Shapria (Confluent.io) also presents on how to deploy Kafka on K8S.