Robusta KRR Files

Prometheus-based Kubernetes Resource Recommendations

This is an exact mirror of the Robusta KRR project, hosted at https://github.com/robusta-dev/krr. SourceForge is not affiliated with Robusta KRR. For more information, see the SourceForge Open Source Mirror Directory.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
krr-windows-latest-v1.27.0.zip	2025-10-15	73.8 MB	0
krr-macos-13-v1.27.0.zip	2025-10-15	104.2 MB	0
krr-macos-latest-v1.27.0.zip	2025-10-15	88.5 MB	0
krr-ubuntu-latest-v1.27.0.zip	2025-10-15	113.7 MB	0
README.md	2025-10-15	794 Bytes	0
v1.27.0 source code.tar.gz	2025-10-15	3.8 MB	0
v1.27.0 source code.zip	2025-10-15	3.9 MB	0
Totals: 7 Items		388.0 MB	0

What’s New — Grouped Jobs

Group Kubernetes Jobs by labels via --job-grouping-labels <l1,l2,...> to get one consolidated recommendation per group.
Limit per group with --job-grouping-limit <N> (default 500).
Jobs in groups are excluded from the regular Job list; grouping is per-namespace.
CronJob-owned Jobs are excluded from grouping.

Example:

:::sh
krr simple --job-grouping-labels app,team --job-grouping-limit 3

What’s Changed

Remove pyinstaller from pyproject dep (#477) by @moshemorad
Replace kubectl with alpine version (#479) by @arikalon1
GroupedJobs + Prometheus credentials auto-refresh by @Avi-Robusta (#478)

Full Changelog: https://github.com/robusta-dev/krr/compare/v1.26.3...v1.27.0

Source: README.md, updated 2025-10-15

Other Useful Business Software

Get the most trusted enterprise browser Icon

Get the most trusted enterprise browser

Advanced built-in security helps IT prevent breaches before they happen

Defend against security incidents with Chrome Enterprise. Create customizable controls, manage extensions and set proactive alerts to keep your data and employees protected without slowing down productivity.

Download Chrome

Gen AI apps are built with MongoDB Atlas Icon

Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.

Start Free

Recommended Projects

Goldilocks
Goldilocks is a utility that can help you identify a starting point for resource requests and limits. By using the Kubernetes vertical-pod-autoscaler in recommendation mode, we can see a suggestion for resource requests on each of our apps. This tool creates a VPA for each workload in a...
OpenCost
OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable...
Pixie
Pixie is an open-source observability tool for Kubernetes applications. Use Pixie to view the high-level state of your cluster (service maps, cluster resources, application traffic) and also drill down into more detailed views (pod state, flame graphs, individual full-body application requests)....
OptScale
Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps...
Kepler
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics.