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.
Daniel Rieder, Senior Manager of Zendesk's Performance and Capacity Planning team, uses Datadog's Trace Search & Analytics to optimize capacity usage in Zendesk's hybrid infrastructure.
Traditional logging solutions require teams to provision and pay for a daily volume of logs, which quickly becomes cost-prohibitive without some form of server-side or agent-level filtering. But filtering your logs before sending them inevitably leads to gaps in coverage, and often filters out valuable data.
As our applications and services become more complex being able to visualize their interdependencies becomes key. In this session Ashley Miller and Willie Yao share how Datadog's Service Maps are helping Airbnb's team create context in an ever growing microservices based environment.