Comments (1)
I think we can potentially put this card off until we have some initial data. If we've defined how we'll collect the data, what experiments we'll run, and how we'll aggregate the data from the experiments - then we can define the report structure once we've collected some data and have a better understanding of how to visualize it. Do you agree, or is it important to do this now?
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Related Issues (20)
- Determine the research required to gather improved Secretless Benchmarks
- Add OCP 4.6 support for v1.7.3 HOT 1
- SPIKE: Secretless benchmark metrics are defined HOT 2
- SPIKE: Export and analysis of benchmarking metrics HOT 3
- SPIKE: Define and run benchmarking experiments HOT 1
- provide ability to intercept sigquit (kill -3) to generate current execution stack snapshots for all active tasks
- Secretless Benchmarking
- Run experiment to determine throughput limits of Secretless HOT 2
- Run experiments to determine Secretless latency under light operating profile
- There is a library for generating load in benchmarking experiments
- Running juxtaposer on release is automated
- Wrap up benchmarking effort
- Upgrade github.com/containerd/containerd to 1.4.8 or higher
- MacOS CI keychain error has been resolved HOT 1
- Create a new v1.7.6 release of Secretless HOT 1
- Failed to create new s3 bucket with secretless broker for aws HOT 1
- Secretless Broker AWS Connector may fail authentication HOT 2
- Oracle DB connector for Secretless
- There is an example generic HTTP connector config for Graph Api - Microsoft Teams
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