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Wind River Supports Intel Industrial SoCs Designed for Real-Time and AI-Driven Intelligent Systems

Wind River announces support for Intel Atom x6000 Series and Intel Pentium and Celeron N and J Series processors and 11th Gen Intel Core processors and Intel Celeron processors. This development is part of a multi-year effort to optimize Wind River software for Intel industrial system-on-a-chip offerings (SoCs).

Historical log analysis and investigation with Online Archives

To have full visibility into modern cloud environments, businesses need to collect an ever-growing avalanche of log data from a range of highly complex data sources. Indexing logs is key for real-time monitoring and troubleshooting, but it can quickly become expensive at high volumes, meaning that organizations often must choose which logs to index and which to archive.

Extend your Datadog functionality with Datadog Apps

Last year, we launched the Datadog Marketplace, which lets Datadog partners develop and trade applications that provide custom monitoring solutions for specific use cases. Now, we’re pleased to announce Datadog Apps, which introduces even further customizability to the Datadog platform. With Datadog Apps, you can now build and share your own Datadog UI features that seamlessly combine functionality from your third-party tools with the full range of Datadog’s monitoring capabilities.

Introducing Network Device Monitoring

For many organizations, the success of their business depends on their ability to maintain on-prem or hybrid infrastructure. For instance, some companies rely on data centers for security reasons or to support their large, static workloads, while others must execute their critical business processes as close to the edge as possible to ensure minimal latency.

Dash 2021: Guide to Datadog's newest announcements

Today at Dash 2021, we announced new products and features that give your team even greater visibility into the health and performance of your code, databases, CI/CD pipelines, and more. Now, you can monitor network devices, get visibility into your services' golden signal metrics without touching a single line of code, and integrate third-party tools into our platform with Datadog Apps. We expanded RUM to include iOS error tracking, Session Replay, and Watchdog Insights.

Announcing the Gremlin Chaos Engineering Professional Certificate Program

There’s a reason why thousands of Engineers, Testers, and other Reliability specialists signed up for Gremlin’s first Gremlin Certified Chaos Engineering Practitioner (GCCEP) certificate program: Chaos Engineering is in high demand, and the market is looking for professionals who know how to wield it well.

How We Use Sloth to do SLO Monitoring and Alerting with Prometheus

One of the most challenging tasks for Site Reliability Engineers is to align the reliability of the systems with the business goals. There is a constant battle between delivering more features—which increases the product’s value—and keeping the system reliable and maintainable. A significant ally to achieve both objectives is the Service Level Objective Framework.

Differences between Site Reliability Engineer Vs. Software Engineer Vs. Cloud Engineer Vs. DevOps Engineer

The evolution of Software Engineering over the last decade has lead to the emergence of numerous job roles. So how different is a Software Engineer, DevOps Engineer, Site Reliability Engineer and a Cloud Engineer from each other? In this blog, we drill down and compare the differences between these roles and their functions.

Introducing Test Insights with flaky test detection

The CircleCI Insights dashboard was designed to help you improve your delivery efficiency. We launched the dashboard a year ago to provide teams with actionable data for optimizing your pipelines. Since then, we’ve been listening to your feedback. By far, the most requested functionality is the ability to gain further visibility into test performance.