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Oct 20, 2020   |  By Mallory Mooney
Tracing is a critical part of monitoring application performance, especially as organizations shift to deploying services using distributed systems, serverless computing, and containerized environments. Teams need real-time, end-to-end visibility into all of the traces relevant to performance issues such as an application outage or an unresponsive service, but managing tracing costs often results in gaps in valuable tracing data.
Oct 19, 2020   |  By Mallory Mooney
Logs provide valuable information for troubleshooting application performance issues. But as your application scales and generates more logs, sifting through them becomes more difficult. Your logs may not provide enough context or human-readable data for understanding and resolving an issue, or you may need more information to help you interpret the IDs or error codes that application services log by default.
Oct 15, 2020   |  By Kent Shultz
Terraform is an increasingly popular infrastructure-as-code tool for teams that manage cloud environments spanning many service providers. New users are often drawn to Terraform’s ability to quickly provision compute instances and similar resources from infrastructure providers, but Terraform can also manage platform-as-a-service and software-as-a-service resources.
Oct 8, 2020   |  By Natalie Altman
Sharing information about the health and performance of an application is a critical part of any team’s daily workflow. That’s why we’re excited to announce the Datadog Slack App, which simplifies crucial communication tasks by deepening the integration between Datadog and Slack.
Oct 6, 2020   |  By Othmane Abou-Amal
Since 2018, Watchdog has provided automatic anomaly detection to notify you of performance issues in your applications. Earlier this year, we introduced Watchdog for Infra, enhancing Watchdog to also monitor your infrastructure. We’re pleased to announce the latest enhancements to Watchdog, which now provides more visibility and greater context around the full scope of each application issue.
Oct 5, 2020   |  By Danny Park
Continuous integration and continuous delivery (CI/CD) pipelines have become fundamental to modern software development and code deployment. Implementing CI/CD practices can let teams deploy code more quickly and efficiently. But with these methods come a number of new challenges: bad code deploys are a major source of downtime and can lead to a loss of revenue and customer trust.
Sep 30, 2020   |  By Anshum Garg
Auth0 provides identity as a service (IDaaS), allowing you to secure your apps and APIs without having to write your own authorization code. Auth0 can work with social identity providers (IdP) like Google and Facebook so your users can access your app by using their existing accounts for authentication. You can also use an existing enterprise identity provider (e.g., LDAP) to allow your users to leverage single sign-on (SSO) across multiple apps.
Sep 29, 2020   |  By Paul Gottschling
Istio is a service mesh that enables teams to manage traffic in distributed workloads without modifying the workloads themselves, making it easier to implement load balancing, canarying, circuit breakers, and other design choices. Versions of Istio prior to 1.5 adopted a microservices architecture and deployed each Istio component as an independently scalable Kubernetes pod. Version 1.5 signalled a change in course, moving all of its components into a single binary, istiod.
Sep 29, 2020   |  By Steve Harrington
We are excited to announce a new partnership with Microsoft Azure, which has enabled us to build streamlined experiences for purchasing, configuring, and managing Datadog directly inside the Azure portal. This first-of-its-kind integration of a third-party service into a public cloud provider reduces the learning curve for using Datadog to monitor the health and performance of your applications in Azure—and sets you up for a successful cloud migration or modernization.
Sep 25, 2020   |  By Justin Massey
Engineering teams that build, scale, and manage cloud-based applications on AWS know that at some point in time, their applications and infrastructure will be under attack. But as applications expand and new features are added, securing the full scope of an AWS environment becomes an increasingly complex task. To add visibility and auditability, AWS CloudTrail tracks the who, what, where, and when of activity that occurs in your AWS environment and records this activity in the form of audit logs.
Oct 7, 2020   |  By Datadog
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?
Sep 25, 2020   |  By Datadog
Optimize and track user journeys with digital experience monitoring from Datadog.
Sep 24, 2020   |  By Datadog
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.
Sep 17, 2020   |  By Datadog
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.
Sep 9, 2020   |  By Datadog
In this video, you’ll learn how to monitor a system and its custom metrics efficiently using Datadog’s interconnected metrics, monitors, and logs.
Sep 4, 2020   |  By Datadog
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.
Sep 1, 2020   |  By Datadog
Hear how Matt Hodge from Exclaimer leverages Datadog Log Management to migrate away from a homegrown solution and find one platform to manage dev and ops logs. Through deep integrations with Microsoft Azure, Exclaimer is able to gain rapid visibility into their entire Azure-based infrastructure as well.
Aug 31, 2020   |  By Datadog
Matthew Weber from StudySync discusses how quickly his team was able to ramp up on APM and get immediate insights with the context of a full observability platform.
Aug 21, 2020   |  By Datadog
In part 1 of this 4 part series, you’ll learn how to use manual instrumentation to add additional detail to traces. We’ll add new tags, or attributes, to the spans generated by our NodeJS application, allowing for more insightful data visualizations in App Analytics.
Aug 21, 2020   |  By Datadog
In part 2 of this 4 part series, you’ll learn how to instrument your NodeJS application to capture custom method-level spans, allowing visibility into how specific methods behave in your application. Flame graphs allow for deep insight into the performance of your code. During instrumentation, we can capture custom spans for deeper layers of visibility in the resulting flame graphs. In this video, we use instrumentation to capture a method-level span, allowing us to see the performance of that specific method in our flame graphs in the Datadog UI.
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.
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.