Datadog

Jun 26, 2018
2010
New York City, NY, USA
Feb 21, 2019   |  By Paul Gottschling
In Part 1, we introduced a number of key metrics that you can use for ECS monitoring. Monitoring ECS involves paying attention to two levels of abstraction: the status of your services, tasks, and containers, as well as the resource use from the underlying compute and storage infrastructure, monitored per EC2 host or Docker container. In this post, we’ll survey some techniques you can use to monitor both levels of your ECS deployment.
Feb 21, 2019   |  By Paul Gottschling
As we explained in Part 1, it’s important to monitor task status and resource use at the level of ECS constructs like clusters and services, while also paying attention to what’s taking place within each host or container. In this post, we’ll show you how Datadog can help you: Automatically collect metrics from every layer of your ECS deployment, Track data from your ECS cluster, plus its hosts and running services in dashboards, and more.
Feb 21, 2019   |  By Paul Gottschling
Amazon Elastic Container Service (ECS) is an orchestration service for Docker containers running within the Amazon Web Services (AWS) cloud. You can declare the components of a container-based infrastructure, and ECS will deploy, maintain, and remove those components automatically. The resulting ECS cluster lends itself to a microservice architecture where containers are scaled and scheduled based on need.
Feb 13, 2019   |  By Mallory Mooney
The MEAN stack has become an increasingly popular choice for developing dynamic applications. Similar to other development stacks like LAMP and Ruby on Rails, MEAN bundles together complementary technologies to provide a ready-made framework for developing and serving applications.
Feb 12, 2019   |  By Jordan Obey
We are excited to announce a new integration with CockroachDB, an open source distributed SQL database. CockroachDB assures ACID semantics and aims to make it easy to scale horizontally by adding nodes instead of manually sharding the database. Built to be resilient (much like its namesake insect) and highly available as it scales, CockroachDB readily recovers from node failures by repairing and rebalancing automatically.
Oct 29, 2018   |  By Datadog
As Docker adoption continues to rise, many organizations have turned to orchestration platforms like ECS and Kubernetes to manage large numbers of ephemeral containers. Thousands of companies use Datadog to monitor millions of containers, which enables us to identify trends in real-world orchestration usage. We’re excited to share 8 key findings of our research.
Oct 29, 2018   |  By Datadog
The elasticity and nearly infinite scalability of the cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived VMs or containers. This has elevated the need for new methods and new tools for monitoring. In this eBook, we outline an effective framework for monitoring modern infrastructure and applications, however large or dynamic they may be.
Oct 1, 2018   |  By Datadog
Where does Docker adoption currently stand and how has it changed? With thousands of companies using Datadog to track their infrastructure, we can see software trends emerging in real time. We’re excited to share what we can see about true Docker adoption.
Oct 1, 2018   |  By Datadog
Build an effective framework for monitoring AWS infrastructure and applications, however large or dynamic they may be. The elasticity and nearly infinite scalability of the AWS cloud have transformed IT infrastructure. Modern infrastructure is now made up of constantly changing, often short-lived components. This has elevated the need for new methods and new tools for monitoring.
Sep 1, 2018   |  By Datadog
Like a car, Elasticsearch was designed to allow you to get up and running quickly, without having to understand all of its inner workings. However, it’s only a matter of time before you run into engine trouble here or there. This guide explains how to address five common Elasticsearch challenges.
Feb 19, 2019   |  By Datadog
Nick Vecellio discusses using Datadog to monitor Wayfair’s distributed systems, which span across multiple on-premises data centers, the cloud and Kubernetes.
Jan 30, 2019   |  By Datadog
Alan Scherger discusses using Datadog to monitor HomeAway's development platform, which supports hundreds of engineers across the globe.
Dec 22, 2018   |  By Datadog
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.
Nov 1, 2018   |  By Datadog
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.
Oct 24, 2018   |  By Datadog
Rob Boll and Laurent Bernaille share their experiences in running and building the Kubernetes clusters that power Datadog.