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Datadog

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.

Announcing support for Windows containers on AWS Fargate

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications with services such as Amazon ECS without needing to manage the underlying virtual machines. Deploying with Fargate removes operational overhead and lowers costs by enabling your infrastructure to dynamically scale to meet demand. We are proud to partner with AWS for its launch of support for AWS Fargate on Windows containers.

This Month in Datadog: November 2021 (Episode 6)

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 Network Device Monitoring, along with highlighting the many announcements and guest presentations from Dash.

Announcing support for Graviton2-powered AWS Fargate deployments

AWS Fargate is a serverless compute engine that allows you to deploy containerized applications on services like Amazon ECS without needing to provision or manage compute resources. Now, Datadog is proud to be a launch partner with Amazon for their support of AWS Fargate workloads running on Graviton2, Amazon’s proprietary ARM64 processor.

Obfuscate user data with Session Replay default privacy settings

Session Replay enables you to replay in a video-like format how users interact with your website to help you understand behavioral patterns and save time troubleshooting. Visibility into user sessions, however, can risk exposing sensitive data and raise privacy concerns. For example, a user session may include typing in a credit card or social security number into an input field.

Monitor Google Workspace with Datadog

Google Workspace (formerly G Suite) is a collection of cloud-based productivity and collaboration tools developed by Google. Today, millions of teams use Google Workspace (e.g., Gmail, Drive, Hangouts) to streamline their workflows. Monitoring Google Workspace activity is an essential part of security monitoring and audits, especially if these applications have become tightly integrated with your organization’s data.

Monitor your Synthetic private locations with Datadog

Datadog Synthetic private locations play a key role in your organization’s test infrastructure by serving as highly customizable points of presence (e.g., data centers, geographic locations) for running synthetic tests on internal services. You can deploy private locations using the orchestrator of your choice, enabling you to seamlessly roll them out and scale them with the rest of your container fleet.