Datadog

New York City, NY, USA
2010
Aug 11, 2020   |  By Betsy Sallee
Datadog’s more than 400 integrations collect monitoring data from across your entire stack, giving you full visibility into the health and performance of your applications and infrastructure. Alerts are a crucial part of any monitoring workflow, as they draw your attention to problems in your system before they affect your users. But whether you’re migrating to a new environment or integrating a new technology into your stack, it’s not always clear what data you should alert on.
Aug 11, 2020   |  By Michael Yamnitsky
Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, asset misconfigurations were the leading cause of cloud security breaches in 2019. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.
Aug 11, 2020   |  By Mary Jac Heuman
When your application experiences an outage, the tools your team uses to manage its response can make all the difference in how quickly they resolve the problem and avoid it in the future. An effective incident management workflow depends on accessible, integrated tools as well as clear, direct channels of communication. And, even after the matter’s been resolved, documentation and analysis of an outage is vital to ensuring it never happens again.
Aug 11, 2020   |  By Datadog
Today, at Dash 2020, we unveiled new products and features on the Datadog platform that provide engineering teams with even deeper visibility into their distributed applications and infrastructure. With these additions, Datadog further streamlines every step of your release cycle, from shift-left testing in your CI/CD pipelines to profiling your code in production.
Aug 11, 2020   |  By Kai Xin Tai
To complement distributed tracing, runtime metrics, log analytics, Synthetic Monitoring, and Real User Monitoring, we’ve made another addition to the application developer’s toolkit to make troubleshooting performance issues even faster and simpler. Continuous Profiler is an always-on, production code profiler that enables you to analyze code-level performance across your entire environment, with minimal overhead.
Aug 11, 2020   |  By Paul Gottschling
When your applications raise errors, you need a way to make sense of them so you can set priorities, start troubleshooting, and gauge the success of your efforts. Errors can appear within the thousands of browser sessions and backend hosts running your software, making it difficult to find meaning within the noise. This is especially true of frontend errors, where seemingly endless permutations of browser version, location, and other environmental details can make it hard to spot trends.
Aug 11, 2020   |  By Betsy Sallee
Testing within the CI/CD pipeline, also known as shift-left testing, is a devops best practice that enables agile teams to continually assess the viability of new features at every stage of the development process. Running tests early and often makes it easier to catch issues before they impact your users, reduce technical debt, and foster efficient, cross-team collaboration.
Aug 11, 2020   |  By Kai Xin Tai
From gaming and social media to e-commerce and travel, mobile is reshaping the way businesses operate and engage with their customers. In an increasingly competitive market, ensuring your mobile applications stay highly performant and resilient will be critical in differentiating yourself from the crowd as well as avoiding uninstalls and poor app reviews.
Aug 11, 2020   |  By Michael Gerstenhaber
The Datadog Partner Network (DPN) is a rapidly growing registry of hundreds of leaders in the cloud service industry who choose Datadog to meet their infrastructure-monitoring needs. Partners are well-acquainted with the more than 400 technology integrations available to Datadog customers, but with the huge diversity in technical stacks used by our customers, there’s always demand for more customization and flexibility.
Jul 31, 2020   |  By Kai Xin Tai
As organizations build out their serverless footprint, they might find themselves managing hundreds or thousands of individual components (e.g., Amazon S3 buckets, Amazon DynamoDB tables, AWS SQS queues) for just a single application. At the same time, performance issues can crop up at any of these points, which means that having access to detailed observability data from your serverless functions is crucial for effective troubleshooting.
Jul 15, 2020   |  By Datadog
David Torgerson from Lucid discusses how Datadog has enabled multiple business units in his organization to find value out of the platform ranging from marketing, DevOps, and even executives.
Jul 8, 2020   |  By Datadog
In this video, you’ll learn how to use the Datadog command line interface (CLI) on Kubernetes to perform key tasks, including checking the status of the agent and viewing custom checks. The Datadog Agent CLI allows you to check the status of the Agents running on the pods in your Kubernetes clusters. It also provides various helpful commands, including starting and stopping the agent, viewing configured custom checks, and sending flares to the Datadog support team to automatically open troubleshooting tickets.
Jul 7, 2020   |  By Datadog
In this video, you’ll learn how to use the host map to identify opportunities to rightsize your environment to become more cost efficient. MoneySuperMarket Group was able to cut their cloud infrastructure costs by over 50% by utilizing Datadog. This video unpacks some of the practices used by MoneySuperMarket’s engineering team to accomplish that.
Jul 7, 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. Each of those is associated with metadata, mostly in the form of tags, and it can also be part of streams of related data points, which can then be explored, queried, or aggregated. RocksDB is used by many services at Datadog that are part of that metrics ingestion, aggregation, query, and index pipeline.
Jul 7, 2020   |  By Datadog
Terraform allows you to efficiently manage complex infrastructure environments, and Datadog is an important piece of those environments. With the Datadog provider, you can use Terraform to manage your Datadog resources as code, allowing you to create and edit resources with the same tool you’re already using for your infrastructure. This video will show you how to do just that through the example of creating a Datadog monitor.
Jul 7, 2020   |  By Datadog
In this video, you’ll learn how to create unified dashboards to enable your teams with valuable information and performance visualizations from across the Datadog platform. Dashboards allow your teams to see all data from across the Datadog platform side-by-side, enabling holistic visibility and breaking down silos between Dev and Ops teams. In this video, you’ll learn how to create a Screenboard, showcasing data such as frontend system latency, backend system latency, and Service Level Objectives all in one place.
Jun 27, 2020   |  By Datadog
You use CDNs because they allow you to serve content as quickly and reliably as possible. But how well are your systems performing? How securely are you moving data—and how do you know which parts of your environment are slowing you down? Learn how to improve end user experiences, accelerate development, and take full advantage of edge computing in this joint webinar.
Jun 27, 2020   |  By Datadog
In this webinar, Ara Pulido, Technical Evangelist at Datadog, will demonstrate how to autoscale your application workloads on OpenShift. You will learn frameworks for how to identify their key work and resource metrics; as well as how to use them to drive horizontal and vertical pod autoscaling so that you can maximize efficiency, while ensuring service reliability.
Jun 16, 2020   |  By Datadog
Datadog APM provides deep visibility into application performance and code efficiency, so you can monitor and optimize your stack at any scale and provide the best digital experience for your users. APM and distributed tracing are fully integrated with the rest of Datadog, giving you rich context for troubleshooting issues in real time.
Jun 2, 2020   |  By Datadog
In part 2 of this 2 part series, you’ll learn how to use Log Patterns to quickly create log exclusion filters and reduce the number of low-value logs you are indexing. Datadog’s Logging with Limits™ feature allows you to selectively determine which logs to index after ingesting all of your logs. Meanwhile, the Log Patterns feature can quickly isolate groups of low-value logs.
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.