diff options
| author | Natan Yellin <aantn@users.noreply.github.com> | 2023-04-19 21:16:21 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-04-19 21:16:21 +0300 |
| commit | c43c8ab1e6d8f70aa87d2adcb2dba7a014150c32 (patch) | |
| tree | 88923302433b8c8cd4396dfc5153b019e9ca0caa | |
| parent | a1d2e5644bded90776eb499912f22a2d6e6f2dc5 (diff) | |
Update README.md
| -rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -94,7 +94,7 @@ Robusta KRR uses the following Prometheus queries to gather usage data: [_Need to customize the metrics? Tell us and we'll add support._](https://github.com/robusta-dev/krr/issues/new) -#### Resource Recommendations +#### Algorithm By default, we use a _simple_ strategy to calculate resource recommendations. It is calculated as follows (_The exact numbers can be customized in CLI arguments_): @@ -110,10 +110,10 @@ By default, we use a _simple_ strategy to calculate resource recommendations. It | Installation Location 🌍 | ✅ Not required to be installed inside the cluster, can be used on your own device, connected to a cluster | ❌ Must be installed inside the cluster | | Workload Configuration 🔧 | ✅ No need to configure a VPA object for each workload | ❌ Requires VPA object configuration for each workload | | Immediate Results ⚡ | ✅ Gets results immediately (given Prometheus is running) | ❌ Requires time to gather data and provide recommendations | +| Reporting 📊 | ✅ Detailed CLI Report, Optional UI in [Robusta.dev](https://home.robusta.dev/) | ❌ Not supported | | Extensibility 🔧 | ✅ Add your own strategies with few lines of Python | :warning: Limited extensibility | | Custom Metrics 📏 | 🔄 Support in future versions | ❌ Not supported | | Custom Resources 🎛️ | 🔄 Support in future versions (e.g., GPU) | ❌ Not supported | -| Reporting 📊 | 🔄 Support in future versions (Robusta can send you report in Slack, UI, etc.) | ❌ Not supported | | Explainability 📖 | 🔄 Support in future versions (Robusta will send you additional graphs) | ❌ Not supported | | Autoscaling 🔀 | 🔄 Support in future versions | ✅ Automatic application of recommendations | |