# Wand Cloud Published articles for Wand Cloud. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Groundcover turns its Wand acquisition into a Kubernetes rightsizing beta DevFeed: [Groundcover turns its Wand acquisition into a Kubernetes rightsizing beta]() Original publisher: [Read original article]() Author: Duncan Riley Published: 2026-11-03T14:00:36Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [observability]() Tags: [acquisition](), [amazon-web-services](), [autonomous-infrastructure](), [beta](), [cloud](), [cost-and-usage-report](), [groundcover](), [kubecon-plus-cloudnativecon-north-america](), [kubernetes](), [memory](), [news](), [observability](), [one-peak](), [optimization](), [processor](), [production](), [resource-optimization](), [right-sizing](), [shahar-azulay](), [the-latest](), [wand](), [wand-cloud]() ### AI overview Groundcover's Autonomous Infrastructure beta uses production history already collected by its Kubernetes sensor to recommend processor and memory requests, showing actual usage, estimated monthly savings, and under-provisioned workloads. Unlike tools that size workloads individually, it checks node capacity before raising a request to avoid starving neighboring workloads. Engineers must enable it and choose the deployments, namespaces, or clusters it manages; policies set minimum and maximum bounds, and changes are logged. The beta adjusts requests only, leaves limits unchanged, and is off until enabled. Savings estimates use customer-entered unit prices; public cloud pricing and AWS Cost and Usage Report integration are described as future steps. It is available at no extra cost to groundcover customers running the sensor on Kubernetes. ### Source excerpt Observability company groundcover Inc. today added Autonomous Infrastructure to its platform in beta to rightsize the processor and memory requests automatically on customers' Kubernetes workloads based on how each workload behaves in production. The technology comes from Kubernetes resource optimization startup Wand Cloud Ltd., which groundcover acquired in September. The release is aimed at the [...] The post Groundcover turns its Wand acquisition into a Kubernetes rightsizing beta appeared first on SiliconANGLE. ## Groundcover lets Claude and Codex hand production investigations to its own agent DevFeed: [Groundcover lets Claude and Codex hand production investigations to its own agent]() Original publisher: [Read original article]() Author: Duncan Riley Published: 2026-10-14T13:00:47Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [agent observability](), [supervisor agent pattern](), [observability](), [API]() Tags: [agent-mode](), [agent-observability](), [agent-tasks](), [agent-to-agent-observability](), [agents](), [ai-agents](), [amazon-web-services](), [anthropic](), [apps](), [architecture](), [artificial-intelligence](), [bring-your-own-cloud](), [claude](), [codex](), [coding-agents](), [cursor](), [github](), [groundcover](), [kiro](), [kubernetes](), [linear](), [mcp](), [model-context-protocol](), [news](), [observability](), [one-peak](), [openai](), [root-cause-analysis](), [shahar-azulay](), [slack](), [telemetry](), [the-latest](), [wand-cloud]() ### AI overview Groundcover has launched an observability agent that lets coding agents such as Claude, Codex, Cursor and Kiro delegate production investigations. Agents can retrieve telemetry through MCP tools or submit asynchronous tasks that return root-cause analyses or draft dashboards. Engineers can also direct investigations through Agent Mode or Slack. The service runs in customers' cloud accounts, and the capabilities are available now. ### Source excerpt Application observability startup groundcover Inc. today gave outside artificial intelligence coding agents such as Anthropic PBC's Claude and OpenAI Group PBC's Codex a way to hand production investigations to its own observability agent. The launch, which groundcover is calling agent-to-agent observability, is seeking to address what happens after code ships. Coding agents can already review [...] The post Groundcover lets Claude and Codex hand production investigations to its own agent appeared first on SiliconANGLE. ## Groundcover picks up Kubernetes optimization startup Wand in its first acquisition DevFeed: [Groundcover picks up Kubernetes optimization startup Wand in its first acquisition]() Original publisher: [Read original article]() Author: Duncan Riley Published: 2026-09-24T13:00:59Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [Kubernetes](), [Optimization](), [observability](), [Cloud]() Tags: [acquisition](), [ai-agents](), [angular-ventures](), [artificial-intelligence](), [autonomous-infrastructure](), [autoscalers](), [availability](), [bring-your-own-cloud](), [cloud](), [cost-savings](), [cpu](), [groundcover](), [heavybit](), [infrastructure](), [jibe](), [kubernetes](), [morgan-stanley-expansion-capital](), [news](), [observability](), [one-peak](), [optimization](), [right-sizing](), [series-c](), [shahar-azulay](), [shon-lev-ran](), [telemetry](), [the-latest](), [top-story-5](), [venture-capital](), [wand](), [wand-cloud](), [zeev-ventures]() ### AI overview Groundcover acquired Kubernetes resource-optimization startup Wand Cloud in its first acquisition. Wand's technology makes coordinated scaling and resource-allocation decisions on live Kubernetes clusters, while groundcover is expanding its observability platform toward autonomous infrastructure. ### Source excerpt Observability company groundcover Inc. today disclosed its first acquisition, picking up Kubernetes resource optimization startup Wand Cloud Ltd. for an undisclosed sum. Wand's founders and employees are moving across to groundcover as part of the deal. The purchase is part of a push by groundcover toward what it calls autonomous infrastructure, with software taking action on [...] The post Groundcover picks up Kubernetes optimization startup Wand in its first acquisition appeared first on SiliconANGLE.