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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.
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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.
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By Datadog
Shipping secure code rapidly and at scale is a challenge across the software industry, as evidenced by continued news of high-profile data breaches and critical vulnerabilities. To address this challenge, organizations are increasingly adopting DevSecOps, a practice in which application developers work closely alongside operations and security teams throughout the development life cycle.
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By Pronoy Chaudhuri
Achieving and maintaining compliance in the cloud proves challenging for many organizations, as it is a complex, ongoing effort that includes safeguarding sensitive data and ensuring infrastructure resources are correctly configured. Success often hinges on the ability to monitor compliance-related trends over time, enabling organizations to spot risk patterns, gauge their current compliance posture, and adapt as new risks emerge. However, gathering this data can be difficult.
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By Candace Shamieh
As Windows organizations migrate toward cloud-based environments, they often lose context of their full stack. In addition to securing their on-premises servers, they now need to deal with virtual servers, managed services, and platform-as-a-service offerings. Cloud-based resources require organizations to relinquish control over physical infrastructure and limit their access to underlying operating systems.
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By Mallory Mooney
APIs are foundational to modular application development. They support an organization’s internal services as well as provide a mechanism for customers to access certain services or datasets for their own applications. Because of the role that both internal and public-facing APIs play in applications, they are considered one of the top targets for threat actors.
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By Etienne Le Blan
In recent years, the popularity of Kubernetes deployments has surged—as has the prevalence of security risks associated with the technology. Red Hat’s State of Kubernetes Security for 2023 reveals that 67 percent of organizations have encountered delays in application deployments due to Kubernetes-related security issues. Additionally, 37 percent have experienced significant revenue or customer losses stemming from Kubernetes security incidents.
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By Sourabh Katti
Organizations are adopting Google Cloud at a growing rate. This growth is partially influenced by both the rise of AI computing and a push towards multi-cloud usage. A recent report found that 85 percent of organizations deploy their applications on multi-cloud architecture. With the shift to AI computing and multi-cloud adoption, organizations are reconsidering their cloud security coverage now more than ever.
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By Parag Baxi
Detecting malware in container environments can be a major challenge due to the rapid development of malicious code, the proliferation of insecure container images, and the multilayered complexity of container stacks. Staying ahead of attackers means tracking the constant evolution of malware and rooting out threats in your codebase at the expense of considerable compute.
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By Parag Baxi
Cloud environments are susceptible to a wide variety of cyberattacks, making them difficult to secure. Some cyberattacks are easier to detect than others, so a priority in cloud security is having adequate detection and response systems in place to mitigate them. Unauthorized cryptomining has become a prevalent threat in recent years, especially in cloud environments where it can be harder to detect.
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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.
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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.
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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.
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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.
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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.
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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.
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By Datadog
In this video, we’ll start looking at the details of how Kubernetes secures the various APIs it uses, looking at etcd. For more information, please see our security labs blog.
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By Datadog
Datadog Cloud SIEM can help unify security teams as well as IT Dev and Ops teams practicing DevSecOps on a single platform. It provides real-time threat detection across security and operational logs paired with rich observability context, visual investigations, and automated security response to help teams achieve faster security outcomes.
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By Datadog
Watch this video to learn how Datadog Cloud SIEM enables you to visually explore and search your logs–accelerating security investigation and response.
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By Datadog
GraphQL is a query language for APIs that provides a powerful and efficient way to query and manipulate data. As powerful and versatile as GraphQL is, its downside is that it can be vulnerable to certain security threats. In this presentation, we will discuss the security vulnerabilities associated with GraphQL, from the basics to more advanced threats, and how to best protect against them. After this presentation, attendees will have a better understanding of security vulnerabilities in GraphQL, as well as an understanding of the steps needed to protect against them.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
- AIOps
- Alerts
- Application Security
- Cloud Monitoring
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- Dashboards
- Database Monitoring
- Distributed Tracing
- Incident Response
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- Serverless Monitoring
- Synthetic Monitoring
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- Website Monitoring
- Alternatives to Datadog