An Intellyx Brain Candy Brief
Detect failures, triage, remediate, and repeat. Seems straightforward enough, until you find yourself using kubectl to follow up on telemetry data and individual alerts within hundreds of ephemeral Kubernetes clusters and containerized workloads.
unSkript offers a troubleshooting service with guardrails for recognizing and recommending solutions to configuration and container-level problems in Kubernetes and hybrid cloud application environments. By leveraging the open-source unctl project, their AI-based platform automates system checks, acquires telemetry data, and offers recommendations, playbooks, and documentation to reduce the toil of incident remediation.
Human engineers are still in the loop, approving and/or executing recommended fixes against the container fleet with runbook-style instructions that contain the appropriate scripts. Platform engineering teams, operations and SREs would have a natural affinity for repeatably solving such problems, especially as they propagate at scale within automated release pipelines and autoscaled pods.
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