Operations | Monitoring | ITSM | DevOps | Cloud

Hear from a Glovo engineer how Datadog Database Monitoring helped their storage team reduce costs and time spent on databases, as well as peak CPU usage.

Toyota is best known for making great cars and trucks, and as a leader in technology and mobility, they are on a mission to build a better future where everyone has the freedom to move. By partnering with Datadog, Toyota is taking advantage of the latest AI/ML to innovate and invent new ways for humans to be more mobile, while future proofing Toyota’s tech stack.

Processing data at scale involves moving packets through a network—but what happens when that network isn't cooperative? Anatole Beuzon, a Software Engineer at Datadog, discusses how he investigated and resolved network issues in Datadog’s larger data-processing apps and how you can apply these same methods to your own production workloads.

#ownership #reliability #performance #apm #devops #devsecops #applicationsecurity #microservicesarchitecture #vulnerability #observability #cloudcomputing

As your organization grows, the increased number of engineers and services can put a strain on your infrastructure and ops teams. As Latin America’s largest online commerce and payments ecosystem, MercadoLibre needed to solve this scaling challenge. So we embarked on a mission to build an Internal Development Platform (IDP). We’ll highlight our transformative journey and how the IDP grew to manage over 26,000 microservices, while delivering a highly productive environment to MercadoLibre’s 12,000+ developers. In this session, you’ll learn about the challenges and solutions required to successfully build your own IDP.

The extended Berkeley Packet Filter, eBPF has resulted in an ecosystem of new tooling that allows running programs in the linux kernel without loading kernel modules. eBPF seeks to do this safety within a secure sandbox environment and has been a boon to observability and security.

As companies scale, it’s become increasingly important to keep cloud cost management and optimization top of mind. In this talk, Yuval Yogev from Sygnia walks you through Sygnia’s optimization journey of cutting their total cloud costs in half. Yogev also shares insights into how you can optimize your own organization’s cloud usage and spend.

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.

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.

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.