Datadog

New York City, NY, USA
2010
Dec 1, 2021   |  By Nicholas Thomson
Watchdog is Datadog’s machine learning and AI engine, which leverages algorithms like anomaly detection to automatically surface performance issues in your infrastructure and applications. Without any manual setup or configuration, Watchdog generates a feed of Alerts—on anomalies such as latency spikes, elevated error rates, and network issues in cloud providers—to help you reduce your mean time to detection.
Dec 1, 2021   |  By Addie Beach
HashiCorp Cloud Platform (HCP) provides fully managed versions of some of HashiCorp’s most popular offerings, including Vault. With Vault, users have a centralized way to secure, store, and manage access to secrets across distributed systems. HCP Vault handles the day-to-day cluster maintenance, patches, and overall system security, making it easy to deploy a cluster without needing to host or manage your own infrastructure.
Nov 24, 2021   |  By Thomas Sobolik
AWS Fargate is a serverless compute engine that allows you to deploy containerized applications with services such as Amazon ECS without needing to manage the underlying virtual machines. Deploying with Fargate removes operational overhead and lowers costs by enabling your infrastructure to dynamically scale to meet demand. We are proud to partner with AWS for its launch of support for AWS Fargate on Windows containers.
Nov 23, 2021   |  By Thomas Sobolik
AWS Fargate is a serverless compute engine that allows you to deploy containerized applications on services like Amazon ECS without needing to provision or manage compute resources. Now, Datadog is proud to be a launch partner with Amazon for their support of AWS Fargate workloads running on Graviton2, Amazon’s proprietary ARM64 processor.
Nov 19, 2021   |  By Jordan Obey
Session Replay enables you to replay in a video-like format how users interact with your website to help you understand behavioral patterns and save time troubleshooting. Visibility into user sessions, however, can risk exposing sensitive data and raise privacy concerns. For example, a user session may include typing in a credit card or social security number into an input field.
Nov 19, 2021   |  By Mallory Mooney
Google Workspace (formerly G Suite) is a collection of cloud-based productivity and collaboration tools developed by Google. Today, millions of teams use Google Workspace (e.g., Gmail, Drive, Hangouts) to streamline their workflows. Monitoring Google Workspace activity is an essential part of security monitoring and audits, especially if these applications have become tightly integrated with your organization’s data.
Nov 18, 2021   |  By Beth Glenfield
Datadog Synthetic private locations play a key role in your organization’s test infrastructure by serving as highly customizable points of presence (e.g., data centers, geographic locations) for running synthetic tests on internal services. You can deploy private locations using the orchestrator of your choice, enabling you to seamlessly roll them out and scale them with the rest of your container fleet.
Nov 18, 2021   |  By Dustin Cote
Confluent Cloud is a fully managed, cloud-hosted streaming data service. Enterprise customers use Confluent Cloud for real-time event streaming within cloud-scale applications. We’re excited to announce a new integration between Datadog and Confluent Cloud, which enables users to get deep visibility into their Confluent Cloud environment with just a few clicks. In this post, we’ll introduce how to set up the integration and start monitoring key metrics from your clusters.
Nov 17, 2021   |  By Priyanshi Gupta
After you release an Android application, you need to ensure a smooth, engaging experience for users. Poor performance and heavy resource consumption can cause your application to rank lower for prospective users in the Google Play Store, and existing users can become frustrated and even uninstall your application. All of this can spell trouble for business-related performance indicators like engagement and discoverability.
Nov 16, 2021   |  By Thomas Sobolik
Since its release in 2013, React.js has become one of the most popular solutions for building dynamic, highly interactive web app frontends. React’s declarative nature and component-based architecture make it easier to build and maintain single-page applications.
Nov 24, 2021   |  By Datadog
Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month we put the Spotlight on Network Device Monitoring, along with highlighting the many announcements and guest presentations from Dash.
Nov 18, 2021   |  By Datadog
At Vacasa, AWS accounts represent the unit of isolation for distinct applications & services in our software ecosystem, providing security benefits and operational autonomy for our teams as we scale. Managing accounts at this scale requires strong DevOps practices to maintain security, operational sanity, and uniform observability across the system. In this talk, we’ll cover the benefits of such an approach, the practices that make it possible, and the important role Datadog plays.
Nov 1, 2021   |  By Datadog
Datadog product designers and frontend developers have been working together to create a new, better UX for creating dashboards, which is one of the most important parts of using Datadog. A central part of this effort was building a new layout engine. Working on this project was a bit different from the usual feature work, so the collaboration cycle between our developers and designers had to change for us to more closely and quickly design, build, and test constraints and new ideas in the browser.
Oct 28, 2021   |  By Datadog
The Datadog team deliver the annual Dash keynote. At Dash 2021, we announced new products and features that give your team even greater visibility into the health and performance of your code, databases, CI/CD pipelines, and more. Now, you can monitor network devices, get visibility into your services' golden signal metrics without touching a single line of code, and integrate third-party tools into our platform with Datadog Apps. We expanded RUM to include iOS error tracking, Session Replay, and Watchdog Insights. And we introduced Datadog Observability Pipelines, which run on your infrastructure and put you in control of your observability data, from how it’s processed to where it’s sent.
Oct 28, 2021   |  By Datadog
Monitoring and observability are critical for knowing how your systems are behaving, but how do you create the feedback loops to shift from reactive monitoring for incidents to proactively preventing them? In this roundtable discussion Mauricio Galdieri, Software Architect at Pismo.io and Kolton Andrus, CEO and co-founder of Gremlin join Tay Nishimura, Site Reliability Engineer on the Chaos Engineering team at Datadog to chat about monitoring, Chaos Engineering, and using them together to build more reliable systems.
Oct 28, 2021   |  By Datadog
Identifying bottlenecks during times of high load is critical to building a scalable software platform. Stress testing is one way to simulate high load on a system and allows you to proactively capture potential bottlenecks before they impact customers. Once a solution is implemented to address the bottleneck, you need a way to measure success and find a new limit. See how HashiCorp Cloud Platform (HCP) has developed a stress testing framework which heavily relies on Datadog’s custom metric capabilities in combination with some out of the box integrations to give HCP engineers a comprehensive view of their platform and how they used these insights to scale their concurrent data-plane provisioning by 300%.
Oct 28, 2021   |  By Datadog
When customer-impacting downtime happens, it’s crucial that responders are prepared and can resolve these issues as quickly as possible. Knowing the right tools to use, from wherever you are working from, will help to have a well-defined strategy in place to come together as a team, work the problem, and get to a solution quickly. In this roundtable discussion, PagerDuty and Datadog engineers chat about incident responses and how we use all the tools at our disposal to respond quickly and effectively.
Oct 28, 2021   |  By Datadog
Often when completing a migration project, you’re having your organisation straddle between two systems. You’re fighting habits and changing attitudes while also attempting to complete a high-risk operation. Every software team at one stage in their career will have to complete a migration. Whether it’s to improve scalability and performance, or transition between an on-prem to cloud solution, you’ll need a deep understanding of your current environment to create a strategy that minimises downtime for your team.
Oct 27, 2021   |  By Datadog
Are you using Auth0 in your application for user logins? How will you monitor the Auth0 logs and detect user actions that could indicate security concerns? In this session, we will see how Datadog helps you to extend security monitoring by analyzing Auth0 User activities in the logs. And also we will see how to set up threat detection rules to trigger notifications automatically based on them.
Oct 27, 2021   |  By Datadog
In April 2021, HashiCorp completed the Consul Global Scale Benchmark where Consul updated 172,000+ services running on 10,000 nodes on AWS in under 1 second. Over the course of the experiment, we logged over 1.8 Billion log events in Datadog.
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 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 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.
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.
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.
Aug 1, 2018   |  By Datadog
Monitoring Kubernetes requires you to rethink your monitoring strategies, especially if you are used to monitoring traditional hosts such as VMs or physical machines. This guide prepares you to effectively approach Kubernetes monitoring in light of its significant operational differences.

Datadog is the essential monitoring platform for cloud applications. We bring 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.

See it all in one place:

  • See across systems, apps, and services: With turn-key integrations, Datadog seamlessly aggregates metrics and events across the full devops stack.
  • Get full visibility into modern applications: Monitor, troubleshoot, and optimize application performance.
  • Analyze and explore log data in context: Quickly search, filter, and analyze your logs for troubleshooting and open-ended exploration of your data.
  • Build real-time interactive dashboards: More than summary dashboards, Datadog offers all high-resolution metrics and events for manipulation and graphing.
  • Get alerted on critical issues: Datadog notifies you of performance problems, whether they affect a single host or a massive cluster.

Modern monitoring & analytics. See inside any stack, any app, at any scale, anywhere.