Datadog announces integration with Microsoft Azure DevOps to derive metrics from their continuous integration pipelines

Datadog announced Thursday a new integration with Microsoft Azure DevOps. Users can pull in events, derive metrics from their continuous integration pipelines, and correlate this information with real-time data from their entire stack in Datadog. 

In addition, teams can set Datadog monitors as gates in their Azure DevOps deployment pipelines, enabling them to detect and abandon bad releases automatically before users are impacted.

Companies are increasingly adopting continuous integration and continuous deployment best-practices to improve the speed and agility of their developer operations. As part of this, many teams rely on services like Azure DevOps in order to release more frequent, smaller updates to their code. 

As updates proliferate, monitoring this activity in context with application performance data becomes critical. Without this visibility, determining a root cause and fixing bugs in dynamic environments can be very time consuming, resulting in extended outages.

In addition to troubleshooting deployments, managers can also use this integration to understand the efficiency of their DevOps processes. Datadog generates metrics to help track Azure DevOps events, so users can see how often builds are completing or failing, the frequency of code commits, and the duration of work items. This data provides feedback for teams to track and improve their workflows as they implement agile methodology.

“We’re excited that users will no longer need to jump between tools to monitor how deployments might be impacting their applications,” said Steve Harrington, product manager at Datadog. “With the ability to stop Azure DevOps deployments automatically based on issues detected in Datadog, this integration provides a powerful tool for mitigating or preventing downtime altogether.”

Lacework bring security visibility to cloud monitoring by integrating with Datadog

Lacework announced its integration with Datadog, the monitoring and analytics platform for developers, IT operations teams and business users in the cloud age. The integration unites security and observability data for customers, providing them with a complete cloud security platform, from build-time to run time, Lacework announced on Monday.

The integration between Lacework and Datadog supports two critical shifts in security: the shift from conflict to collaboration, and the shift from centralized to distributed. As more organizations adopt Continuous Integration and Continuous Delivery (CI/CD), the need to move quickly creates security gaps that can lead to data leaks, ransomware, crypto mining, and a variety of other issues that can leave data exposed and vulnerable. 

The Lacework Cloud Security Platform is cloud-native and offered as-a-Service; delivering build-time to run-time threat detection, behavioral anomaly detection, and cloud compliance across multicloud environments, workloads, containers, and Kubernetes. 

Customers significantly drive down costs and risk by freeing themselves from the burden of unnecessary hardware, rule writing, and inaccurate alerts. Lacework is trusted worldwide by enterprise companies at the forefront of embracing the cloud. 

This integration provides significant value to modern architectures that require a unified view of their metrics, logs and performance data with their cloud security findings, thus allowing teams to correlate data across different sources to investigate incidents faster; rehydrate archived logs/events for forensics with Datadog's Logging without Limits; route alerts/escalations through a standard pipeline across engineering; and identify any containers/hosts that are not running Lacework.