Datadog

New York City, NY, USA
2010
Nov 29, 2022   |  By Stephen Pinkerton
Whether you are a site reliability engineer, DevOps engineer, or application developer, you need visibility into the health and performance of every service you run or support. But in complex, dynamic environments, it can be difficult to ensure that all services are accounted for.
Nov 29, 2022   |  By Thomas Sobolik
Embrace is a mobile application monitoring solution that helps you track and troubleshoot mobile app performance by combining data analytics, real user monitoring, network performance monitoring, and hardware monitoring in a single platform. We’re pleased to partner with Embrace to offer an out-of-the-box Embrace Datadog app and software license in the Datadog Marketplace.
Nov 29, 2022   |  By Aaron Kaplan
Many organizations face complex regulatory requirements when it comes to monitoring the health and performance of their service and application infrastructure. As part of our ongoing commitment to providing a comprehensive monitoring solution for all customers, we’re pleased to announce that Datadog has achieved TISAX Assessment Level 2 (AL2) certification.
Nov 29, 2022   |  By Addie Beach
While cloud solutions can give you greater flexibility as you scale your infrastructure, limited visibility into resource utilization makes provisioning the right amount of compute resources challenging. To ensure that every workload is fully supported, many organizations may opt to over-provision, which leads to overspending. Or, in an attempt to maximize cost savings, organizations may under-provision, leaving workloads unsupported and risking serious performance impacts.
Nov 28, 2022   |  By Ayush Kapur
Reducing noise in your error logs is critical for quickly identifying bugs in your code and determining which to prioritize for remediation. To help you spot and investigate the issues causing error logs in your environments, we’re pleased to announce that Datadog Error Tracking is now available for Log Management in open beta.
Nov 28, 2022   |  By Danny Driscoll
AWS Lambda enables engineering teams to build modern, scalable services without the need to provision underlying infrastructure resources. But monitoring Lambda functions requires visibility into performance indicators that differ from those of traditional architectures—and cold starts are a key example.
Nov 21, 2022   |  By Cansu Berkem
A well-designed cloud architecture is essential to ensure that the underlying infrastructure stays operational, within budget, and compliant over time. These days, organizations are rapidly spreading their infrastructure across a broad, complex mesh of interconnected resources and services. It can be difficult to make high-level decisions about the design and management of these systems. This is why many organizations are now turning to cloud infrastructure modeling tools.
Nov 17, 2022   |  By Aaron Kaplan
React Native has become the predominant development framework for cross-platform mobile applications. By interacting with native APIs largely under the hood and requiring only a fractional proportion of platform-specific code, it allows you to build applications for iOS, Android, and the browser using the same declarative JavaScript. But this cross-platform adaptability has its downsides.
Nov 15, 2022   |  By Bowen Chen
Datadog Real User Monitoring (RUM) provides end-to-end visibility into the user experience and performance of your browser and mobile applications. RUM allows you to capture and retain complete user sessions for 30 days. This means you can pinpoint bugs, prioritize issues, and determine fixes with data collected across an entire quarter.
Nov 11, 2022   |  By Bowen Chen
Properly testing a service’s APIs to ensure that it can handle production traffic presents many challenges for engineers—SREs need to guarantee the resiliency of their application, while developers must ensure that their features perform well at any given scale. Speedscale is a testing framework built for Kubernetes applications that enables you to load test with real-world production scenarios by replaying actual API traffic that your application has experienced.
Nov 28, 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. This month, we take you straight to the Javits Center for a showcase of Dash 2022..
Nov 21, 2022   |  By Datadog
Continuous Testing provides efficient, reliable testing that works seamlessly with the rest of your CI/CD pipelines. In this demo, we show you how you can use the Continuous Testing Explorer page, GitHub integration, and codeless web recorder to easily create useful tests and analyze the results.
Nov 18, 2022   |  By Datadog
As modern systems become increasingly more complex, the risk of incidents and outages increases. Old approaches to reliability can sometimes be adapted to novel system designs, but other times new methods need to be invented. In this panel session moderated by Datadog’s Jason Yee, you’ll hear from SRE leaders and systems architects across the industry about how they’re designing and operating systems to achieve greater reliability.
Nov 18, 2022   |  By Datadog
DevOps principles have helped many organizations improve cross-team collaboration, which has in turn led to increased reliability and velocity in the development lifecycle. In this session moderated by Jason Yee, we hear from panelists who have applied these same DevOps principles to observability, helping them unlock data-based insights and empower teams to make smarter, more informed decisions.
Nov 17, 2022   |  By Datadog
Measuring user experience is typically done by tracking metrics like latency and purchase frequency. But these metrics can often obscure real user sentiment. In this panel session moderated by Miranda Kapin, you can learn about better ways to uncover how users are truly experiencing your application and methods for improving their engagement.
Nov 15, 2022   |  By Datadog
In 2020, CoverWallet—a multi-tenant insurance platform—was acquired by Aon, which led to a rapid expansion in both the size and global presence of its engineering organization. In his talk, CoverWallet’s Hylke Alons walks through the changes that were necessary to meet their platform's new expectations, including improving growth and scalability while ensuring reliability, automating security, and reducing maintenance. He also discusses some best practices for scaling up engineering and product teams to handle demand in a complex and highly regulated industry like insurance.
Nov 8, 2022   |  By Datadog
Processing data at scale involves moving packets through a network—but what happens when that network isn't cooperative? Anatole Beuzon, a Software Engineer at Datadog, discusses how he investigated and resolved network issues in Datadog’s larger data-processing apps and how you can apply these same methods to your own production workloads.
Nov 8, 2022   |  By Datadog
Site reliability engineering (SRE) can be complicated, and at Datadog, we’ve spent a lot of time thinking about SRE and refining how we implement it. Join Datadog’s Brandon West and Rick Mangi as they provide a brief overview of SRE and its core concepts. This video also contains a Q&A session from the live taping of this panel.
Nov 8, 2022   |  By Datadog
As companies scale, it’s become increasingly important to keep cloud cost management and optimization top of mind. In this talk, Yuval Yogev from Sygnia walks you through Sygnia’s optimization journey of cutting their total cloud costs in half. Yogev also shares insights into how you can optimize your own organization’s cloud usage and spend.
Nov 8, 2022   |  By Datadog
Observability involves telling a coherent story about an entire system. Over the years, video streaming service Pluto TV has had to navigate many storytellers in terms of observability vendors, tools, and formats before settling on OpenTelemetry to analyze and compare features across its many destination platforms. During this presentation, you'll see how Bharathi Ramachandran—Engineering Manager at Pluto TV—used OpenTelemetry to implement his initial proof of concept and get his entire organization shipping observability data at scale.
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.