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  |  By Vera Chan
In order to help organizations more effectively secure their cloud environments, we are making changes to our Cloud SIEM product. As of December 4, Datadog has introduced a new offering in Cloud SIEM: Cloud SIEM 15-Months Retention, which automatically stores logs for 15 months after ingestion.
  |  By Martin McCloskey
GitHub is a mission-critical software development and version control platform that is used to store proprietary source code and other sensitive data. Monitoring logs generated by activity in your GitHub environment can be useful, as unexpected patterns of behavior could indicate attacker activity or insider threats.
  |  By Geoffrey Carlisle
As government agencies accelerate their adoption of cloud technologies—particularly SaaS applications—they need to adhere to strict compliance and security standards. The Federal Risk and Authorization Management Program (FedRAMP) sets these standards for civilian federal agencies, while the Impact Levels laid out by the Defense Information Systems Agency (DISA) in their Cloud Computing Security Requirements Guide set guidelines for Department of Defense (DoD) agencies.
  |  By Addie Beach
As your cloud infrastructure scales to handle the weight of new features and a growing user base, your attack surface increases as well. When combined with the steady rise in security threats—more than 25,000 vulnerabilities were identified in 2022 alone—identifying every risk to your distributed system can be a challenge.
  |  By Rajat Luthra
Cloud environments comprise hundreds of thousands of individual components, from infrastructure-level containers and hosts to access-level user and cloud accounts. With this level of complexity, continuous and end-to-end visibility into your environment is vital for detecting, prioritizing, and fixing vulnerabilities before attackers can take advantage of them.
  |  By Lucas Masson
In today’s complex cloud environments, security and engineering teams need to manage vulnerabilities and misconfigurations across multiple layers of the stack, including cloud resources, clusters, containers, and applications. Often, this results in a lengthy list of problems that lacks prioritization and is daunting for users to address.
  |  By Tori Teng
Managing sensitive information in your telemetry data poses many challenges to governance, risk management, and compliance (GRC) teams and overall security. Organizations in healthcare, finance, insurance, and other fields must carefully adhere to strict compliance requirements. But sensitive data comes in many forms and moves between many endpoints, and as a result, it can easily become exposed in telemetry data.
  |  By Rajat Luthra
Identity and access management (IAM) systems are necessary for authenticating and authorizing access to your environment. However, their mismanagement is one of the leading causes of breaches and insider threats today. Engineering teams must rapidly provision identities and permissions to keep pace with infrastructure growth—consequently, the ratio of non-human or machine identities to every human identity is also increasing at a substantial rate.
  |  By Christophe Tafani-Dereeper
We recently released the State of Cloud Security study, where we analyzed the security posture of thousands of organizations using AWS, Azure, and Google Cloud. In particular, we found that: In this post, we provide key recommendations based on these findings, and we explain how you can leverage Datadog Cloud Security Management (CSM) to improve your security posture.
  |  By Gorka Vicente
The modern application landscape is rapidly evolving, creating new tools, technologies, and processes that allow organizations to deploy production code faster. But risks to application security have also changed significantly, requiring the security discipline to evolve in order to adapt to new types of attacks.
  |  By Datadog
In this video we're looking at how to harden Docker containers by seccomp to filter syscalls that containers can make.
  |  By Datadog
In this video we're looking at how to add an additional layer of security to containers using mandatory access control systems like Apparmor.
  |  By Datadog
In this video we're looking at how to harden Docker containers by using cgroups to restrict the resources provided to them.
  |  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 a pair of Heatmaps updates..
  |  By Datadog
In this video we're looking at how to harden Docker containers by removing some of the default Linux capabilities granted to them. To learn more, read our blog on Datadog’s Security Labs site.
  |  By Datadog
Watch this video to learn about how Indigov’s Security team (that runs their SOC, compliance program, and operations to support developers throughout the software development lifecycle) has deemed Cloud SIEM as one of the easiest and most integrated platforms to drive down response time from hours to minutes. Datadog Log Management has helped Indigov centralize all disparate data into one spot and Datadog Cloud SIEM’s out of the box detection rules and workflows have helped to capture their incident response process–driving response time down from hours to minutes!
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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.