Datadog

Jun 26, 2018
2010
New York City, NY, USA
Apr 16, 2019   |  By Meghan Jordan
Service level objectives are an important tool for maintaining application performance, ensuring a consistent customer experience, and setting expectations about service performance for both internal and external users. We are very pleased to announce the availability of a new monitor uptime and SLO widget that makes it simple to monitor the status of your SLOs and communicate that status to your teams, executives, or external customers.
Apr 16, 2019   |  By Gabriel-James Safar
Datadog’s new automated browser tests enable you to automate your user experience monitoring and ensure that your users can complete actions like signing up for a new account or adding items to a cart. Anyone on your team can record and automate multistep browser tests in minutes. Once you create a test, Datadog uses machine learning to detect changes to your application and automatically update your tests accordingly.
Apr 16, 2019   |  By Renaud Boutet
When your users are encountering errors or high latency in your application, drilling down to view the logs from a problematic request can reveal exactly what went wrong. By pulling together all the logs pertaining to a given request, you can see in rich detail how it was handled from beginning to end so you can quickly diagnose the issue.
Apr 11, 2019   |  By Nils Bunge
Python’s built-in logging module is designed to give you critical visibility into your applications with minimal setup. Whether you’re just getting started or already using Python’s logging module, this guide will show you how to configure this module to log all the data you need, route it to your desired destinations, and centralize your logs to get deeper insights into your Python applications.
Apr 10, 2019   |  By Maxim Brown
Google Cloud’s Stackdriver Logging is a managed service that centralizes and stores logs from your Google Cloud Platform services and applications. We are excited to announce that Datadog’s GCP integration now includes Stackdriver Logging. You can collect all your GCP logs using Datadog so you can search, filter, analyze, and alert on them along with your metrics and distributed request traces in a single platform.
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.
Apr 17, 2019   |  By Datadog
Datadog recently hosted the NYC Kafka Meetup. Presenters included Jamie Alquiza (Datadog), Stephen Dotz (NY Times) and Michael Kaminski (NY Times). Jamie shared how Datadog conducts capacity planning for Kafka, and the NY Times team shared how their publishing pipeline works.
Apr 4, 2019   |  By Datadog
Greg Shackles discusses how monitoring Windows processes in real time, along with business metrics such as orders processed and user signups, helps bring Olo together as a company to meet their goals.
Feb 26, 2019   |  By Datadog
Paul Whyte discusses how Datadog has reduced Funding Circle’s MTTA and MTTR, ensuring borrowers and investors always have a fantastic experience on their platform.
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.