Operations | Monitoring | ITSM | DevOps | Cloud

Service mesh is quickly becoming a standard for organizations making the transition to a microservice environment. As companies make this shift, there are three key considerations for deploying an effective service mesh: Networking, Observability, and Reliability. This webinar will focus in on the Observability component of service meshes, specifically tracing. Watch this webinar to learn how HashiCorp Consul and Datadog are collaborating to help users implement and monitor their service mesh deployments.

See how Datadog brings together metrics, traces, logs, UX testing, and more in a single pane of glass. See inside any stack, any app, at any scale, anywhere.

Peter Gradwell and Rob Leslie discuss how bringing distributed log files into a single platform has helped Gradwell’s support teams identify, analyze, and resolve issues more quickly.

See the highlights from the recent Dash 2019 conference by Datadog!

Uptime is a poor measure of reliability. Agile development’s fail-fast approach coupled with distributed applications and dynamic infrastructure requires us to have a better understanding of reliability.

See how Datadog brings together metrics, traces, logs, UX testing, and more in a single pane of glass. See inside any stack, any app, at any scale, anywhere.

Hear from Segment co-founder and CTO Calvin French-Owen about how Datadog helps Segment ensure reliable data delivery for thousands of customers.

The BBC is the world's largest broadcaster, and is home to a wide range of popular services. Ensuring service availability is a key concern of the BBCs product teams, and they’ve invested in operational controls to help them achieve this. Their portfolio is comprised of thousands of services that communicate together to deliver live TV and radio, on-demand content, and a vast high-traffic website.

To serve over 28 million subscribers, Hulu operates thousands of microservices. All of those microservices are backed by Donki—a Heroku-style, Docker-native platform that has grown from handling hundreds of requests per second to hundreds of billions of requests per day.

In the last year, OpenAI trained a team of five neural networks to defeat the reigning world champion esports team, achieved state-of-the-art results on a variety of domain-specific language modeling tasks, released a public demonstration of combining multiple musical styles using unsupervised learning, and more.