Operations | Monitoring | ITSM | DevOps | Cloud

GitHub Copilot cost: what teams actually pay in 2026

The GitHub Copilot cost runs from $0 for the Free tier to $10/month for Pro, $39/month for Pro+, and $100/month for Max. Teams pay $19/user/month for Business and $39/user/month for Enterprise. The twist: on June 1, 2026 GitHub swapped fixed premium requests for usage-based AI Credits, so what those flat fees actually buy now depends on how hard you push the AI. The sticker price is the easy part. The part that ambushes finance is everything stacked on top of it.

DRIVE Deep Dive: Reliability

This is the second post in our DRIVE Deep Dive series. Over the coming weeks we're examining each pillar of the DRIVE framework in turn, and mapping DRIVE against the frameworks engineering leaders already run on, including DORA and SPACE. For the complete model, download the full DRIVE framework. Our last post covered Delivery. Up next: Initiatives. --- AI has removed the last real constraint on producing code, and organizations are shipping more of it than ever.

New Cloud-Enabled Features for Splunk Enterprise Customers via Cloud Connect

Splunk Enterprise customers want access to the latest Splunk capabilities as quickly as possible. Occasionally, new experiences arrive first for Splunk Cloud, leaving self-managed customers without a clear timeline. Cloud Connect is a creative way Splunk is solving that problem. Cloud Connect gives Splunk Enterprise customers a standard admin path to access curated Splunk-managed services.

Importance of Practice Tests: Why Mocks Are the Key to Exam Success

Whether you are preparing for a job assessment, entrance exam, or competitive test, one thing toppers always do is practice. Studying theory is important, but without practice tests, it's hard to know if you're actually ready. A Practice Test is not just a mock exam. It's a tool that shows you where you stand, what to improve, and how to perform better on the real day.

What to Look for When Searching for Real Estate Support

Buying or selling a home is easier when the right real estate professional is involved. A good agent helps you understand the market, compare options, prepare offers, review risks, and make decisions with more confidence. The challenge is knowing who to trust when there are so many profiles, reviews, recommendations, and online tools available.
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Proactive error management: Collaborate effectively and work smarter with tags

Talking to many of our customers with different needs and use cases, one particular issue comes up all the time. When I'm seeing so many error groups in my app and so many error notifications in my inbox every day, it's easy to end up feeling overwhelmed. I want a more proactive system to alert me to which errors need attention and when, so that I can stop getting buried. Does this hit home? Then this article is written for you, the tech leads and the product managers who are on the front-line of issue prioritization.

What Is VMware vSphere? vSphere vs. ESXi vs. vCenter

VMware vSphere is the platform that unifies ESXi and vCenter into a complete solution for running and managing virtual machines. VMware vSphere is not a single product, but a full virtualization platform and product suite that includes ESXi, vCenter, and other tools for managing workloads. It provides the foundation for running virtual machines (VMs) on a hypervisor and gives IT teams the ability to centralize management across multiple servers, clusters, and applications.

Monitor watchOS and visionOS apps with Datadog RUM

Apple’s platform ecosystem is evolving as developers build production applications for watchOS and visionOS. Whether it’s a fitness app on Apple Watch or an immersive spatial computing experience on Apple Vision Pro, these platforms have moved beyond the experimental phase to support real users. Despite this growth in adoption, teams lack visibility into how their apps behave on these devices.

Q&A: How Elastic and Anyshift are bringing AI-powered context to incident response

Incident response often depends on connecting two kinds of context: what changed in the environment and what the logs say happened next. Through a new integration with Elastic, Anyshift’s AI agent, Annie, can read from a customer’s Elasticsearch deployment to search logs, surface error and warning spikes, and correlate log evidence with infrastructure change history.

From Prototype to Production With AWS AgentCore

"Hello world, this is your agent speaking!" The agent loop! The LLM is calling tools, the answers are sensible, and the sky's the limit. Now, as you look forward to production, you look for a composable toolset, something that can grow with your use case and system needs. That's what we created with Honeycomb Canvas: a collaborative investigation space where AI agents help you understand, fix, and learn about your system.