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Datadog

Introducing Datadog Cloud Security Posture Management

Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, misconfigurations were the leading cause of cloud security breaches in 2020. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.

Monitor containerized ASP.NET Core applications with Datadog APM

ASP.NET Core is an open source web development framework that enables you to develop .NET applications on macOS, Linux, and Windows machines. The introduction of .NET Core in 2016 dramatically increased the number of ways to build and deploy .NET applications. This means that you need the ability to easily monitor application performance across a wide variety of platforms, such as Docker containers.

Monitor Vercel Serverless Functions with Datadog

Vercel is a deployment and collaboration platform that enables frontend developers to build high-performance Jamstack websites and applications. Vercel is also the creator of Next.js, a React framework developed in collaboration with engineers at Google and Facebook in 2016. Vercel users can leverage a built-in deployment tool that manages the build and rendering process, as well as a proprietary Edge Network that caches their sites for fast retrieval.

Mute Datadog alerts for planned downtime

We’re happy to announce the release of new muting features for Datadog monitors. Scoped monitor muting allows teams to eliminate unnecessary alerting during scheduled maintenance, testing, auto scaling events, and instance reboots. Your teams will therefore be able to filter out expected events and quickly pinpoint critical issues in your infrastructure. Previously, monitor muting was binary: all-or-nothing.

Best practices for shift-left testing

There are several different testing methods you can use as part of your development process to ensure you build high-quality applications. Shift-left testing is one approach that has become popular with agile teams because it enables them to move the testing phase to earlier stages of the development life cycle, which is a primary goal for agile development. Shift-left testing has a few advantages over traditional methods.

Automate remediation of threats detected by Datadog Security Monitoring

When it comes to security threats, a few minutes additional response time can make the difference between a minor nuisance and a major problem. Datadog Security Monitoring enables you to easily triage and alert on threats as they occur. In this post, we’ll look at how you can use Datadog’s webhooks integration to automate responses to common threats Datadog might detect across your environments.

Monitor ActiveMQ Artemis and Classic with Datadog

ActiveMQ is a message broker that uses standard protocols to route messages between disparate services. ActiveMQ currently offers two versions—Classic and Artemis—that it plans to merge into a single version in the future. Both versions provide high throughput, support synchronous and asynchronous messaging, and allow you connect loosely coupled services written in different languages.

Real-time distributed tracing for Go and Java Lambda Functions

Serverless applications streamline development by allowing you to focus on writing and deploying code rather than managing and provisioning infrastructure. To help you monitor the performance of your serverless applications, last year we released distributed tracing for AWS Lambda to provide comprehensive visibility across your serverless applications.

Monitor Databricks with Datadog

Databricks is an orchestration platform for Apache Spark. Users can manage clusters and deploy Spark applications for highly performant data storage and processing. By hosting Databricks on AWS, Azure or Google Cloud Platform, you can easily provision Spark clusters in order to run heavy workloads. And, with Databricks’s web-based workspace, teams can use interactive notebooks to share datasets and collaborate on analytics, machine learning, and streaming in the cloud.