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Summary:
COMPANY:​
Datadog
INDUSTRIES:​
Analytics, Information Technology, Productivity Tools, SaaS, Software
HEADQUARTERS:​
New York, New York, United States
ABOUT:
Datadog offers monitoring and analytics for cloud-based workflows.
STOCK SYMBOL:
DDOG: NASDAQ
IPO STATUS:
Public
Datadog is an essential monitoring platform for cloud applications. It brings together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
POWERED BY CRUNCHBASE
Financials:
FUNDING (USD):​
USD
STATUS:
For Profit
INVESTORS:​
147900000
TOP 5 INVESTORS:​
13
FOUNDERS:​
Alexis Le-Quoc, Olivier Pomel
LAST LEADERSHIP HIRE:
Amplify Partners, Index Ventures, RRE Ventures, Meritech Capital Partners, OpenView
EMPLOYEES:
1001-5000
ACQUISITIONS​:
Amplify Partners, Index Ventures, RRE Ventures, Meritech Capital Partners, OpenView

YouTube

Datadog

Welcome to the Datadog YouTube channel! On this channel, you'll find all sorts of presentations, webinars and conference talks from our various team members on everything infrastructure monitoring.

If you like what you see, check out our website at www.datadoghq.com. Enjoy!

Datadog
With many blog posts published and talks given on the topic, it’s no secret that Datadog is running Kubernetes at scale. We currently run dozens of clusters, some of them with thousands of nodes. Additionally, we have clusters running in multiple clouds. How are we monitoring all of that, ensuring we can scale up quickly and safely? In this session Ara Pulido, Technical Evangelist, will chat with Celene Chang and Charly Fontaine - both software engineers on the Container Integrations team at Datadog. This team is responsible for deploying and running the Datadog Agent in our Kubernetes clusters. We’ll cover how we are running the Datadog Agent in our clusters, which metrics we care about, and the monitors we have set up. By the end of the session you will have new ideas and best practices on monitoring Kubernetes with Datadog that you can apply in your own environment. Links mentioned in the talk ExtendedDaemonset Github: https://github.com/DataDog/extendeddaemonset Watermark Pod Autoscaler Github: https://github.com/DataDog/watermarkpodautoscaler How to monitor Kubernetes audit logs: https://www.datadoghq.com/blog/monitor-kubernetes-audit-logs/ Explore Kubernetes resources with Datadog Live Containers: https://www.datadoghq.com/blog/explore-kubernetes-resources-with-datadog/ 00:00 - Intro 02:01 - Main discussion 06:19 - Kubernetes Monitoring 101 14:36 - Best practices: Agent deployment 18:28 - Best practices: Platform monitoring 29:23 - Best practices: Audit logs 31:08 - Best practices: Workload monitoring 34:36 - Best practices: Tagging 38:45 - Autoscaling 48:48 - KubeCon discussion 53:29 - Q&A
Datadog on Kubernetes Monitoring
YouTube Video UCPO2QgTCReBAThZca6MB9jg_PlypVevZfW8
Over 800 Engineers at Datadog do thousands of deployments per day, to hundreds of services in different environments, regions, and cloud providers. How can we manage all those deployments in a common way and have a reliable paper trail way to audit any changes? In this session Ara Pulido, Technical Evangelist, will chat with Benjamin Smith, Tech Lead, and Jacob LeGrone, Senior Software Engineer, who are part of the team that created Datadog’s software delivery platform. We will cover the challenges we found when creating a software delivery platform that all of our engineering teams could use, the decisions we had to make --- including technologies we dropped along the way --- and some of the technologies that are part of that platform like Helm, CNAB, and Bazel.
Datadog on Software Delivery
YouTube Video UCPO2QgTCReBAThZca6MB9jg_H67uuwVO1tc
Datadog is a monitoring and analytics platform that ingests trillions of data points per day, coming from more than 8,000 customers. With a complex distributed architecture and hundreds of deployments per day, needless to say sometimes things don't go as planned. Our teams have been improving the way incidents are managed at Datadog over the years and they are using that knowledge to help Datadog customers manage their own incidents. In this session, Technical Evangelist Ara Pulido will chat with Léo Cavaillé, SRE Manager, and Matt Hardwick, an engineer working on Datadog’s incident application. They will discuss how incident management evolved at Datadog, how we handle incidents today, and how the SRE team is working alongside the engineers building Datadog’s Incident application to make Datadog the best place to organize, investigate, manage, and solve your infrastructure and application incidents.
Datadog on Incident Management
YouTube Video UCPO2QgTCReBAThZca6MB9jg_QIambwILy_M
Adam Savitzky, Senior Software Engineer at Carta discusses how Datadog’s unified platform enabled them to transition to microservices while reducing their application latency and deploying code faster.
Carta: Transitioning to microservices and deploying code faster with Datadog
YouTube Video UCPO2QgTCReBAThZca6MB9jg_fCNiJTI5DmI
Datadog offers a single unified platform to observe your infrastructure, applications, network flows, security threats, UX, and more. For full visibility, you can seamlessly navigate between metrics, traces, and logs. See inside any stack, any app, at any scale, anywhere.
Datadog Product Tour
YouTube Video UCPO2QgTCReBAThZca6MB9jg_YmJcbAI_OCg
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Datadog, Inc.
Datadog, Inc.

How to use vSphere’s native monitoring tools to collect metrics and log data to monitor the health and performance… https://t.co/c8CXkSi9P8

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Datadog, Inc.

.@AWSreInvent is almost here—and so is your chance to grab some Datadog swag! Starting Monday, visit our Sponsor Pa… https://t.co/HzEuLT8OS3

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Datadog, Inc.

Identify the locations of key resources such as logs, config files, and data directories with our handy Cassandra c… https://t.co/P6Py91usS0

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Datadog, Inc.

Attending @AWSreInvent? Test your capabilities at the Security Hack Jam! 💻🔐 Sign up during @AWSreInvent and so… https://t.co/5LXMy6iEFL

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Datadog, Inc.

re:Invent is going virtual this year! Check out our guide to #reInvent 2020 for a preview of Datadog-hosted events… https://t.co/8DZjCZa2Um

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Datadog, Inc.

Our research indicates that orchestration is now the norm for container environments of all sizes:… https://t.co/OKOn4bPmXi

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Tokyo, 103-0027 Japan

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