Earlier this year we launched Datadog Apps, which seamlessly integrate functionality from third-party tools into Datadog’s centralized monitoring platform. This project has enabled us to collaborate with some of our partners, such as PagerDuty and LaunchDarkly, to extend the Datadog UI and provide our customers with new solutions for incident management, feature flag optimization, and more.
Microsoft Azure SQL Database is a platform-as-a-service (PaaS) database offering for modern cloud applications. It’s a fully managed service that runs on the latest version of the SQL Server database engine, enabling you to create highly available and performant database instances without needing to maintain hardware upgrades, patches, or backups.
In Part 1 of this series, we discussed key metrics for monitoring Microsoft Azure SQL databases. We also looked at how your database resource and audit logs complement metrics to provide more insight into database performance, activity, and security. In this post, we’ll show you how to collect metrics and logs from your database instances and monitor them with Azure’s monitoring and reporting tools.
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.
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.
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.
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.
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.
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.
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.
