Operations | Monitoring | ITSM | DevOps | Cloud

Datadog

Use Datadog's GitHub and source code integrations to streamline troubleshooting

GitHub Apps is a service that helps you automate key processes in your workflow. Datadog now uses GitHub Apps to interact directly with the GitHub API, enabling you to add valuable context to your notebooks. And once you’ve also integrated Datadog with your source code, you can access links to Git repositories and inline code snippets for stack traces.

Monitor Kubernetes with Fairwinds Insights' offering in the Datadog Marketplace

Fairwinds Insights is Kubernetes governance and security software that enables DevOps teams to monitor and prevent configuration problems in their infrastructure and applications. Not only does Fairwinds simplify Kubernetes complexity, but it also reduces risk by surfacing security and reliability issues in your Kubernetes clusters.

This Month in Datadog: December 2021 (Episode 7)

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. This month we put the Spotlight on Datadog Sensitive Data Scanner which is now generally available.

The Log4j Log4Shell vulnerability: Overview, detection, and remediation

On December 9, 2021, a critical vulnerability in the popular Log4j Java logging library was disclosed and nicknamed Log4Shell. The vulnerability is tracked as CVE-2021-44228 and is a remote code execution vulnerability that can give an attacker full control of any impacted system. In this blog post, we will: We will also look at how to leverage Datadog to protect your infrastructure and applications.

Monitor and optimize S3 storage with Amazon S3 Storage Lens metrics

With Amazon S3’s scalable object storage, you can store and manage billions of objects across multiple AWS accounts, regions, and storage classes. S3 Storage Lens provides 29 useful metrics that give you deeper visibility into your S3 usage and activity across your entire organization. We are proud to be a pre-integrated AWS partner using the new CloudWatch publishing option to bring S3 Storage Lens metrics into Datadog for enhanced S3 storage monitoring.

Secure HashiCorp Vault with Datadog Cloud SIEM

HashiCorp Vault provides centralized storage and management of passwords, API keys, tokens, and other secrets that distributed applications can use to operate securely. Vault clients—services and applications that access secrets programmatically, as well as users who interact with a Vault server—can create, update, and read secrets based on the permissions you grant them.

Monitor the Azure Cosmos DB integrated cache with Datadog

Azure Cosmos DB is a fully managed NoSQL database that scales automatically with load and supports multiple APIs. This makes it easy to incorporate with your applications while removing the need to maintain your own database servers. The Cosmos DB integrated cache—which is now in public preview—is a new offering that can help reduce costs and improve performance for Azure Cosmos DB.

Understand the scope of user impact with Watchdog Impact Analysis

Watchdog is Datadog’s machine learning and AI engine, which leverages algorithms like anomaly detection to automatically surface performance issues in your infrastructure and applications. Without any manual setup or configuration, Watchdog generates a feed of Alerts—on anomalies such as latency spikes, elevated error rates, and network issues in cloud providers—to help you reduce your mean time to detection.

Monitor your HCP Vault cluster with Datadog

HashiCorp Cloud Platform (HCP) provides fully managed versions of some of HashiCorp’s most popular offerings, including Vault. With Vault, users have a centralized way to secure, store, and manage access to secrets across distributed systems. HCP Vault handles the day-to-day cluster maintenance, patches, and overall system security, making it easy to deploy a cluster without needing to host or manage your own infrastructure.