Datadog Workflow Automation Demo
With Datadog Workflow Automation, teams can automate entire remediation processes across their tools and services in response to alerts and security signals, directly in Datadog’s unified platform.
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Container Security Fundamentals - Linux Namespaces (Part 3): The Network Namespace
In this video, we continue our examination of Linux namespaces by looking at some details of how the network namespace can be used to isolate a container’s view of network resources, and how this feature can be used for troubleshooting container problems.
Data Streams Monitoring Demo
Datadog Data Streams Monitoring (DSM) helps you easily track and improve the performance of your streaming data pipelines by mapping, monitoring, and troubleshooting them all in one place. With DSM, you can monitor end-to-end latency, locate faulty queues or services, and mitigate floods of backed-up messages so that you can avoid critical downtime.
Pinpoint performance issues in downstream services with the Dependency Map Navigator
Visibility into the upstream and downstream dependencies of your services is key to maintaining a performant microservices environment. Application developers and SREs rely on this visibility to quickly trace issues back to the source, which is essential during incidents—when time is of the essence—throughout day-to-day operations, and as systems evolve and scale.
Import Backstage YAML files into Datadog to manage all your services in one place
The Datadog Service Catalog centralizes your organization’s knowledge about the ownership, reliability, performance, costs, and security of your services. If you’re also using Backstage to keep track of your services, you can leverage our support for Backstage YAML to easily consolidate and maintain all your service information in the Service Catalog.
Understanding AWS Lambda proactive initialization
AJ Stuyvenberg is a Staff Engineer at Datadog and an AWS Serverless Hero. A version of this post was originally published on his blog. In AWS Lambda, a cold start occurs when a function is invoked and an idle, initialized sandbox is not ready to receive the request. Features like Provisioned Concurrency and SnapStart are designed to reduce cold starts by pre-initializing execution environments.
Monitor your NVIDIA GPUs with Datadog
NVIDIA is well known for its computing advancements across a broad range of industries and has become the clear leader in the artificial intelligence (AI) space. Due to their high-performance capabilities, NVIDIA’s discrete graphics processing units (GPUs) now account for approximately 80 percent of the market share for production-level AI, gaming, graphics rendering, and other complex data processing tasks.
Query unsampled logs in real time with Live Search
With thousands of logs generated every minute from your infrastructure, applications, services, and devices, retaining this copious amount of data for active search and analysis can be cost-prohibitive. Because log volumes continue to grow rapidly as operations scale, it’s common for organizations to implement log management strategies and store only a limited number to minimize costs.
I use GitHub Actions for Datadog's Service Catalog, and you should, too
Today’s guest blog is by Mike Stemle, a software engineer and Principal Architect for the Arc XP division of the Washington Post. In his role, Mike focuses on AppSec and large-scale architecture. Anybody who works with me knows that I love the Datadog Service Catalog.
Datadog Service Catalog Demo
See what it’s like to have a central hub for all service knowledge alongside real-time observability data, including ownership, reliability, performance, and security, all in one place. With Service Catalog, you can not only better evaluate your system’s production readiness and adherence to industry best practices at scale with Scorecards, but also better understand the interrelationships between different microservices, or capture the cascading dependencies, between services and teams.