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By Julie Agnes Sparks
Snowflake is a fully managed data platform that enables users to store, process, and analyze large volumes of data across their cloud environments. Recently, Datadog’s Security Research Team posted a threat hunting guide to help defenders ensure the security of their Snowflake instances.
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By Mallory Mooney
APIs can be vulnerable to a wide variety of attacks, such as poor inventory management and access controls, making them a primary target for attackers. Server-side request forgery (SSRF) is one type of attack that has become more prominent with the rising use of public clouds. This is primarily due to new development practices like using Instance Metadata Services (IMDS) to access valuable information about deployed instances, such as credentials.
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By Nick Frichette
Cloud security teams are faced with an ever-increasing number of challenges. Attackers are focusing on more cloud-native attacks than ever. Meanwhile, the number of cloud service offerings—and by extension, the number of misconfigurations in them—is only growing. And there is always the risk that a sophisticated adversary could abuse a vulnerability in a cloud service provider to target cloud customers.
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By Nimisha Saxena
Every security engineer has experienced this issue: after spending a lot of time creating a new SIEM alert to catch malicious behavior, you deploy it, only to find there are over 100 service accounts triggering false positives. Your SIEM is suddenly flooded with false alerts, and your team is overwhelmed as a result. You then spend hours or even days investigating these alerts and fixing your detection rule, hoping it will work better next time.
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By Amanda Quach
Cloud environments today continue to grow in size and complexity, which increases the demand for improved security coverage in order to protect an organization’s assets, data, and reputation. This growth has also created significant and complex challenges in identifying insider or external threats, compromised accounts, and anomalous behavior across environments.
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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.
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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.
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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.
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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.
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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.
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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 Kubelet API.
This Month in Datadog: State of DevSecOps report, Event Management, Container Image Trends, and more
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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, we put the Spotlight on Datadog’s State of DevSecOps report.
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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.
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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.
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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.
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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.
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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
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
- Container Monitoring
- Dashboards
- Database Monitoring
- Distributed Tracing
- Incident Response
- Infrastructure Monitoring
- Log Analytics
- Performance Monitoring
- Profiling
- SIEM
- Server Monitoring
- Serverless Monitoring
- Synthetic Monitoring
- Threat Detection
- Website Monitoring
- Alternatives to Datadog