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.
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.
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.
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.
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.
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.
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.
Confluent Cloud is a fully managed, cloud-hosted streaming data service. Enterprise customers use Confluent Cloud for real-time event streaming within cloud-scale applications. We’re excited to announce a new integration between Datadog and Confluent Cloud, which enables users to get deep visibility into their Confluent Cloud environment with just a few clicks. In this post, we’ll introduce how to set up the integration and start monitoring key metrics from your clusters.
After you release an Android application, you need to ensure a smooth, engaging experience for users. Poor performance and heavy resource consumption can cause your application to rank lower for prospective users in the Google Play Store, and existing users can become frustrated and even uninstall your application. All of this can spell trouble for business-related performance indicators like engagement and discoverability.
Since its release in 2013, React.js has become one of the most popular solutions for building dynamic, highly interactive web app frontends. React’s declarative nature and component-based architecture make it easier to build and maintain single-page applications.
