DevOps & SRE
DevOps & SRE news — Monday 09 November 2026
13 stories from 4 sources, every one in English. Each links to its publisher.
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Run cost-effective, always-on agents to monitor your environment: the engineering behind Watchers
Grafana Blog
Alert rules are great for the failures you can predict, but they fall short on the ones you can't. With the advent of modern AI, you might think the solution is to swarm your stack with agents that monitor every last detail, but that can…
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In sales development, a human touch stands out
Atlassian Blog
This article was written with contributions from Toni Cadden, SDR regional manager, and Lora Kassanchuk, global head of mid-market SDRs. AI makes it incredibly easy to prepare research reports and send large batches of personalized emails…
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Synchronous vs Asynchronous Communication
Atlassian Blog
Key Takeaways Synchronous communication happens in real time, while asynchronous communication gives recipients the flexibility to respond later. Choose synchronous communication when speed and interaction matter, such as during crises…
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How to design a decision-grade pilot for agentic AI
GitLab Blog
Agentic AI changes the nature of a technology evaluation. When an AI system only generates an answer, a person reviews the output and decides whether to use it. An agent goes further: It gathers context, selects tools, makes decisions, and…
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Modernizing the enterprise: How virtualization trailblazers are building the future with Red Hat OpenShift
Red Hat Blog
Enterprise IT continues to undergo a massive structural shift. Escalating licensing costs, shifting cloud economics, and the urgent mandate to deploy AI-driven workloads are forcing platform leaders to fundamentally rethink their…
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What’s new in Red Hat OpenShift 5
Red Hat Blog
Red Hat OpenShift 5 is now generally available. The Red Hat OpenShift team always tries to bring you the most requested features while, at the same time, pushing the envelope with new opportunities. You have environments combining…
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Red Hat Developer Hub 2.1: Agent ready, extended support, new plugin architectures
Red Hat Blog
AI has made code generation significantly faster. However, without enterprise context, this new speed fails to translate to business outcomes. Lack of context creates a quality gap that is estimated to cost 3 to 10 times more per feature…
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Red Hat OpenShift 5: Bring stronger security to applications and AI
Red Hat Blog
Every team wants to get AI models and modern apps into production quickly, but no platform engineer wants to gamble on unvetted code or leaky access boundaries. Red Hat OpenShift 5 is built to give platform and security teams the…
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Red Hat OpenShift 5 delivers innovation and predictability for the long haul
Red Hat Blog
The experimentation phase of the cloud-native era has entered its maturity phase. Red Hat OpenShift has become the common layer of consistency for the hybrid enterprise, connecting everything from sovereign data centers to the network edge…
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Red Hat OpenShift 5: What partners need to know
Red Hat Blog
Red Hat OpenShift 5 is the next evolution of the cloud-native application platform you and your customers already trust.For distributors and resellers, Red Hat OpenShift 5 is more than a product release—it’s a growth opportunity: longer…
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Red Hat OpenShift 5: The intelligent application platform
Red Hat Blog
Red Hat OpenShift 5 represents the next evolution of your core application platform. It maintains the foundations you rely on: A consistent operational model built on Kubernetes, supporting containers, virtual machines (VMs), serverless…
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How Red Hat OpenShift 5 transforms operations for Red Hat OpenShift Service on AWS
Red Hat Blog
To innovate at the pace that AI demands, platform teams need deeper security to protect workloads, intelligent automation to solve problems faster, and predictable lifecycles that make planning easier. Red Hat OpenShift 5 introduces…
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EnMaaS: Red Hat's pilot for open source inference
Red Hat Blog
As frontier model inference costs soar, Red Hat has addressed the challenge head-on by proving that enterprise-grade AI does not require exclusive reliance on expensive commercial endpoints. Through Engineering Model-as-a-Service (EnMaaS)…