Datadog

New York City, NY, USA
2010
  |  By Mallory Mooney
With the alarming number of data breaches and vulnerabilities today, security is now a primary concern for organizations and their customers, but knowing how to efficiently develop and scale secure applications is still a problem. Tackling this challenge requires considering the potential security risks of a new feature or service much earlier in the development cycle, an idea that is foundational to the Secure by Design approach.
  |  By Nicholas Thomson
The Domain Name System (DNS) translates domain names (e.g., datadoghq.com) into IP addresses via a process called DNS resolution. This translation facilitates all kinds of network communication, from enabling web browsers to connect to a desired page without requiring users to remember IP addresses, to internal communication across private infrastructure, such as Kubernetes environments.
  |  By Mallory Mooney
AWS WAF is a managed web application firewall that monitors network traffic to your AWS applications and resources. As a perimeter-based firewall, AWS WAF is designed to secure the boundaries between your applications and the public internet. This means that it’s capable of protecting all of the various elements of your AWS architecture, including Amazon API Gateways, load balancers, and Amazon CloudFront distributions.
  |  By Mallory Mooney
In Part 1 of this series, we looked at how AWS WAF helps you monitor network traffic to AWS resources, as well as key metrics and logs for detecting WAF misconfigurations and malicious activity. In this post, we’ll walk through using AWS’s native tooling to query that data.
  |  By Mallory Mooney
In Part 2 of this series, we looked at Amazon’s built-in monitoring services for AWS WAF activity and audit logs. In this post, we’ll demonstrate how Datadog complements your WAF’s existing protection and extends its capabilities to not only offer protection at the perimeter but also to the APIs and services within your network.
  |  By Christophe Tafani-Dereeper
We recently released the State of DevSecOps study, in which we analyzed tens of thousands of applications and cloud environments to assess adoption of best practices that are at the core of DevSecOps today. In particular, we found that: In this post, we provide key recommendations based on these findings, and we explain how you can leverage Datadog Application Security Management (ASM) and Cloud Security Management (CSM) to improve your security posture.
  |  By Gorka Vicente
As application architectures shift to the cloud and the velocity of software delivery accelerates, organizations are seeking more powerful capabilities to identify security vulnerabilities within their production applications. Traditional static application security testing (SAST) tools, by themselves, are insufficient.
  |  By Pronoy Chaudhuri
Security teams require complete visibility into their hosts, containers, and functions in order to detect, prioritize, and remediate their most pressing security risks. The Datadog Agent helps you achieve this visibility by collecting deep insights in your environment through logs, distributed traces, infrastructure metrics, and other key telemetry.
  |  By David Lentz
Software Composition Analysis (SCA) is the practice of identifying the open source libraries your code depends on. By using SCA, you can analyze these dependencies and determine whether they are affected by any known vulnerabilities, contain malicious code, introduce licensing risk, or are poorly maintained. SCA helps teams understand their software’s dependencies and the security implications of using them so that they can safely build on and innovate with open source code.
  |  By Kaushik Akula
As your business evolves to serve more users, your applications and infrastructure will generate an increasing volume of logs, which may contain sensitive data such as credit card numbers, IP addresses, and tokens. When you collect sensitive data, you may be subject to laws such as GDPR—which restricts the transfer of personal data across borders, and you may face legal consequences if this data is exposed outside your infrastructure.
  |  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. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Datadog’s State of DevSecOps report.
  |  By Datadog
In this video we’ll continue our look at the details of how Kubernetes secures the various APIs it uses, looking at the main Kubernetes API server. For more information, please see our security labs blog Kubernetes security fundamentals: API Security.
  |  By Datadog
As developers debug their services, they can easily see security insights from the same screen and pivot as necessary, to better understand if a security issue is the root cause or not.
  |  By Datadog
Here Matthieu Roux, an Engineer for the Application Security Threats team at Datadog explains how you can use Datadog Application Security to detect and protect yourself from common attack tools using Datadog's in-app WAF.
  |  By Datadog
Meet Francois, a software engineer on our Application Security team at Datadog. He will demonstrate how he seamlessly integrates resolving critical vulnerabilities in his AWS Lambda applications into his daily workflow.
  |  By Datadog
Cloud native technologies have empowered engineering teams to innovate rapidly: from releasing a few times a year to several times a day. This means security assessment have to be done continuously. To achieve this, developer, operation, and security teams have to collaborate in novel ways. Instead of communicating through backlogs, they need to work towards shared objectives. From processes to tooling, teams have to rethink the way they approach security, share context, and improve the security posture of their organization.
  |  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. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, our Spotlight is a preview of our annual conference, DASH 2024.
  |  By Datadog
Watch this webinar to learn how: The Datadog platform helps agencies work across silos that separate development, operations, and security teams to foster collaboration and improve cybersecurity posture Datadog has committed to higher levels of security authorizations, including FedRAMP® High, and Impact Level 5 for DoD agencies Our end-to-end observability platform helps agencies address the unique challenges faced by IT leaders in government, including compliance with stringent security standards outlined in Executive Orders and other regulatory directives.
  |  By Datadog
With Datadog Sensitive Data Scanner and Audit Trail, you can coalesce governance activities throughout your organization, meet compliance requirement, control access and budget, and empower your teams with the visibility they need to work securely and effectively.
  |  By Datadog
Join us on This Month in Datadog for a spotlight of Datadog SCA, which helps teams track and manage open source libraries in their apps, so they’re better able to address security risks, business risks, and licensing. Watch the new episode now.
  |  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
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
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.