Operations | Monitoring | ITSM | DevOps | Cloud

Datadog

CTO Fireside Chat #cto #asana #datadog #leadership #ml #ai #shorts

Building large scale technical systems is hard, but building and scaling high performing technical organizations is even more difficult. In this session, Datadog Co-founder and CTO Alexis Lê-Quôc will sit down with Prashant Pandey, Head of Engineering at Asana, to discuss their approach to engineering leadership. They’ll share the hard-learned lessons from their long careers to help you cultivate better technical teams, covering topics from staying in tune with new technologies, enabling innovation , shipping modern ML and AI-based features, and scaling teams.

Highlights from AWS re:Invent 2023

Whether or not you made the journey to this year’s re:Invent, there’s always a variety of great announcements lost amid an action-packed week of keynotes, breakouts, expo hall demos, and networking sessions. No need to worry—we’re always happy to be a big part of the re:Invent experience and share our observations with you.

Datadog on Kubernetes Node Management #datadog #kubernetes #observability #infrastructure #shorts

Datadog, the observability platform used by thousands of companies, runs on dozens of self-managed Kubernetes clusters in a multi-#cloud environment, adding up to tens of thousands of nodes, or hundreds of thousands of pods. This infrastructure is used by a wide variety of engineering teams at Datadog, with different feature and capacity needs.

re:Invent Recap Livestream

Did you miss this year’s re:Invent? Or maybe you were onsite but too busy deep diving on certifications, new products, and networking. Don’t worry – the Datadog team is streaming right to your home on December 5th to recap all of the highlights from the event. Join Andrew Krug from Datadog’s Technical Community and a host of AWS guests LIVE to hear about exciting announcements from AWS re:Invent 2023, Datadog’s latest product launches, and a run-down of the best On Demand sessions that you’ll want to make sure to tune into.

How Toyota Connected uses Datadog Workflow Automation to reduce time to resolution #datadog #shorts

Hear from Toyota Connected’s DevOps Engineers about how Datadog Workflow Automation helps them easily automate their infrastructure tasks, thereby reducing the time needed to resolve incidents and disruptions.

Introducing CoTerm, your collaborative terminal for pair programming and debugging

For too long, engineers have had to piece together an unwieldy combination of tools to collaboratively debug and resolve incidents while pair programming in real time. These activities normally require developers to work individually through a terminal, but the patchwork solutions that allow teams to work together in terminals all have significant drawbacks.

Monitor Amazon S3 Express One Zone with Datadog

Amazon Simple Storage Service (S3) now offers a high-performance storage class, S3 Express One Zone, that delivers consistent single-digit millisecond data access for your most latency-sensitive applications. Designed for your most frequently accessed datasets, S3 Express One Zone replicates and stores your data within a single AWS Availability Zone, scales to process millions of requests per minute, and uses hardware and software optimized for low latency.

Govern your infrastructure resources with the Datadog Resource Catalog

As an administrator of an expanding, highly distributed infrastructure, you may be responsible for overseeing thousands of on-premise and cloud resources from multiple providers—governed under dozens of accounts by a complex nest of RBAC rules. To query all these resources for purposes such as compliance audits and access management, you may be required to write custom scripts and painstakingly sift through data across disparate tools.

Monitor and improve your CI/CD on AWS CodePipeline with Datadog CI Visibility

CI/CD services such as AWS CodePipeline enable developers to automate and accelerate the process of building, testing, and deploying code. But with the speed, scale, and complexity of the modern software development life cycle, even small performance regressions or increases in failure rates in your CI system can quickly snowball, slowing or even halting releases and causing cost overruns.