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May 16, 2022   |  By Prashant Jain
OpenTelemetry is a Cloud Native Computing Foundation (CNCF) initiative that provides open, vendor-neutral standards and tools for instrumenting services and applications. Many organizations use OpenTelemetry’s collection of APIs, SDKs, and tools to collect and export observability data from their environment to their preferred backend. As part of our ongoing commitment to OpenTelemetry, we are proud to have contributed our distributed tracing libraries to the CNCF community.
May 16, 2022   |  By Thomas Sobolik
A Kubernetes environment includes a wide range of resources—such as clusters, nodes, and pods—that work together to run dynamic applications at scale. In order to monitor a Kubernetes application effectively, you need a multi-dimensional view into your clusters’ health that encompasses the complex dependency relationships among these resources.
May 13, 2022   |  By Nicholas Thomson
FoundationDB is a distributed NoSQL database designed to support fully ACID transactions. FoundationDB uses an unbundled architecture that consists of an in-memory transaction management system, a distributed storage system, and a built-in distributed configuration system. This enables developers using FoundationDB to manage and configure each part of their database layer separately to ensure desired scalability, high-availability, and fault tolerance.
May 10, 2022   |  By Bowen Chen
JumpCloud is a cloud-based directory platform that provides a unified approach to Active Directory and LDAP services centered around user authentication and network management. Using JumpCloud, companies can manage and provision user access to software, systems, and networks; enforce compliance with audit trails; and provide a unified login experience through single sign-on (SSO).
May 9, 2022   |  By Bowen Chen
Superwise is a monitoring platform that provides model observability for high-scale machine learning (ML) operations. Superwise provides teams with out-of-the-box (OOTB) metrics on their models’ production behavior, so they can effectively address drift, data quality issues, and other problems before they negatively impact business.
May 5, 2022   |  By Nicholas Thomson
CircleCI is a CI/CD service that allows organizations to rapidly build, test, and deploy within their pipelines on a single platform. If you are using CircleCI for your CI/CD pipelines, you can now leverage the Datadog Synthetics CircleCI orb to implement Synthetic tests as part of shift-left testing. CI/CD testing is a widely adopted DevOps standard that helps teams mitigate any potential issues that could arise as a result of faulty code deployments.
May 3, 2022   |  By Steve Harrington
Azure App Service is a cloud-based platform-as-a-service (PaaS) for deploying functions, web apps, mobile apps, and other resources. It allows developers to deploy code—using common languages and frameworks—in minutes without worrying about provisioning or managing infrastructure. Developers can then use Azure App Service to scale their services dynamically to meet demand.
May 3, 2022   |  By Addie Beach
Flutter is a popular open source framework that allows you to build, test, and deploy high-performance, multi-platform applications with a single codebase. Developed by Google, Flutter is backed by a robust developer community and is compatible with the latest native functionalities, including iOS Metal.
May 2, 2022   |  By Kirk Kaiser
After a two-year hiatus, Datadog customer summits are back. And what better place to begin in-person again than in sunny Denver, Colorado!
Apr 28, 2022   |  By Will Roper
Developed and released by Google in 2018 with contributions from IBM, VMWare, Red Hat, and other companies, the Knative project is designed to make it as simple as possible to build, deploy, and scale serverless containers across your existing Kubernetes infrastructure. By operating on top of Google Anthos, Knative for Anthos takes this even further by allowing developers to build and deploy applications across any hybrid environments that include both on-prem and cloud-hosted serverless clusters.
May 13, 2022   |  By Datadog
With Datadog Event Management, you get relevant alerting of notable changes across your infrastructure and services in one centralized so you can troubleshoot faster. This demo will show you how you can filter and view events, use events as a data source and use event queries to improve your remediation efforts.
May 5, 2022   |  By Datadog
With Datadog Serverless Monitoring, you can view metrics, traces, and logs from your AWS Lambda functions in a single pane of glass. Features like anomaly detection, trace analytics, and an out-of-the-box dashboard with enhanced Lambda metrics help you optimize cost and performance for your app.
May 3, 2022   |  By Datadog
Managing microservices requires understanding many dependencies, both technical and operational. Join Brooke Chen of Datadog as they introduce Service Catalog, a new view combining telemetry, performance, topology, and metadata to enable at-a-glance understanding of even the most complex microservices architectures.
May 3, 2022   |  By Datadog
Borja Burgos from Datadog talks about what Shift-Left Observability means, some of the core principles, and the benefits you can get by implementing it.
Apr 29, 2022   |  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.
Mar 17, 2022   |  By Datadog
London Stock Exchange Group (LSEG) is a 300 year old institution that processes 1M+ trades every day, totalling billions of pounds in value. Learn how Datadog helps LSEG proactively identify issues and prevent system outages to ensure the exchange runs smoothly.
Mar 2, 2022   |  By Datadog
Rust is a programming language that has been gaining popularity over the past few years, with its adopters claiming that it helps them write faster, memory efficient, and more reliable software. At Datadog many backend services are written in Go, but some teams have begun adopting Rust when building new services, especially when performance is critical.
Feb 16, 2022   |  By Datadog
Fundbox needed a single monitoring platform to bolster its DevOps efforts and reduce maintenance overhead. With Datadog, it consolidated eight monitoring tools into one, leading to heightened collaboration, improved efficiency, and faster resolutions.
Feb 9, 2022   |  By Datadog
Depending on your chosen programming language and stack, you may have never used a profiler in production. The very idea of using a profiler in production for a web service may seem unrealistic, due to the amount of overhead involved. After all, aren’t profilers extremely computationally expensive to run? Despite a reputation for being computationally expensive, many programming languages have examples of profilers built to run in production. The importance of seeing how your application behaves in production is critically important to understanding how it performs in the real world.
Feb 3, 2022   |  By Datadog
Datadog Network Device Monitoring (NDM) provides deep visibility into your full inventory of network-connected devices. Datadog autodiscovers devices from any network, and allows you to correlate health and performance data from your devices with other observability data in a single unified platform.
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
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.