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News FAUN.dev() Team Trending
@kala shared an update, 3 weeks, 5 days ago
FAUN.dev()

Google’s Cloud APIs Become Agent-Ready with Official MCP Support

Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

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@devopslinks added a new tool BigQuery , 3 weeks, 5 days ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 3 weeks, 5 days ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

Datadog Amazon CloudWatch Dynatrace New Relic Amazon Web Services

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
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@devopslinks added a new tool ServiceNow , 3 weeks, 5 days ago.
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@cmndrsp0ck started using tool Terraform , 3 weeks, 6 days ago.
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@cmndrsp0ck started using tool Ansible , 3 weeks, 6 days ago.
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@cmndrsp0ck started using tool Python , 3 weeks, 6 days ago.
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@cmndrsp0ck started using tool Kubernetes , 3 weeks, 6 days ago.
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@cmndrsp0ck started using tool Go , 3 weeks, 6 days ago.
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@cmndrsp0ck started using tool GNU/Linux , 3 weeks, 6 days ago.
Fleet is a high-scale GitOps system built to support the realities of multi-cluster operations. Instead of pushing YAMLs or relying on brittle scripts, Fleet treats Git as the authoritative state and continuously reconciles that state across every cluster under management.

Its architecture uses lightweight agents, bundling, and content distribution to propagate changes efficiently - whether you’re managing five clusters or five thousand. Policies, Helm charts, CRDs, and raw manifests all become versioned, reviewable, and auditable through Git.

Fleet integrates cleanly with Rancher, enabling teams to automate cluster bootstrapping, enforce standards, roll out updates safely, and instantly detect drift. It excels in environments that demand consistency: edge fleets, hybrid cloud estates, regulated sectors, and platform teams building opinionated Kubernetes platforms.