DevOps & SRE
DevOps & SRE news — Thursday 08 October 2026
8 stories from 4 sources, every one in English. Each links to its publisher.
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How one bug bounty researcher chooses the features they investigate
GitHub Blog
As we kick off Cybersecurity Awareness Month, the GitHub Bug Bounty team is excited to spotlight one of the top-performing security researchers participating in the GitHub Security Bug Bounty Program: @vaib25vicky! The security research…
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Take Grafana Labs' 5th annual Observability Survey
Grafana Blog
Over the past year, "agentic" has gone from an emerging buzzword to an integral part of worklife for many engineers—and that's just scratching the surface on all that's changed.
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Manage your OpenTelemetry Collectors with Fleet Management in Grafana Cloud
Grafana Blog
If you’ve built your telemetry pipelines around OpenTelemetry Collectors, you’ve already invested in a collector distribution, YAML configuration, and a deployment model that fits your infrastructure.
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MLOps at the edge: Running AI models at the edge
Red Hat Blog
In Part 1: Preparing AI models for deployment, we saw how our model left the training pipeline as a signed, optimized Open Container Initiative (OCI) artifact ready to travel to the edge. Now, our next question is: what will be the…
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Using on-premise Red Hat Lightspeed capabilities to monitor vulnerabilities and apply advisor remediations
Red Hat Blog
Managing vulnerabilities across a fleet of Red Hat Enterprise Linux (RHEL) systems is a continuous challenge. Between tracking Common Vulnerabilities and Exposures (CVEs), prioritizing by business risk, planning RHEL upgrades, and…
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Actionable disconnected cluster analysis, available now with pen drive powered by Red Hat Lightspeed
Red Hat Blog
Red Hat OpenShift doesn't stop at the cloud boundary. Telecommunications providers, government agencies, and financial institutions run OpenShift in environments that are intentionally air-gapped — and keeping those clusters healthy has…
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Track organization-wide security risk in one dashboard
GitLab Blog
If you run application security across more than one top-level group, getting a single organization-wide view of your risk has meant manually pulling together data. That is operational work rebuilt in spreadsheets and one-off scripts every…
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MLOps at the edge: Running AI models at the edge
Red Hat Blog
In Part 1: Preparing AI models for deployment, we saw how our model left the training pipeline as a signed, optimized Open Container Initiative (OCI) artifact ready to travel to the edge. Now, our next question is: what will be the…