This commit enables alerting in Kraken based on the Prometheus queries defined
by the user and modifies the return code of the run to determine pass/fail for
the run.
This commit:
- Enables Kraken to leverage kube-burner to scrape metrics from
Prometheus and index them into Elasticsearch. This way we can
take a look at the metrics in Grafana long term even after the
cluster is terminated.
- Enables separation of operations based on distribution with
OpenShift as the default option. One of the use cases is to
capture Prometheus instance details as it's installed by default
while it's optional for Kubernetes.
This commit enables performance monitoring on the cluster when
running Kraken to be able to observe how cluster reacts to failures
as it's important to make sure the cluster is healthy in terms of
both recovery as well as performance.
With the current implementation, all the scenarios of specific type
(for example, pod scenario) has to be executed together. All
pod_scenarios are followed by node_scenarios and so on.
(pod_scenarios -> node_scenarios -> pod_scenarios is not possible)
This commit enables the user to run a specific type of scenario
multiple times. For example, few pod_scenarios followed by
node_scenarios followed by few_scenarios.
This commit:
- Converts various sections in the readme into individual documents.
- Adds pointers to the public blogs.
- Updates workflow/architecture diagram.
- Adds community info and contributing guidelines.
This commit:
- Adds a node scenario to stop and start an instance
- Adds a node scenario to terminate an instance
- Adds a node scenario to reboot an instance
- Adds a node scenario to stop the kubelet
- Adds a node scenario to crash the node
This commit:
- Adds support to run pod chaos scenarios including killing an etcd,
ApiServer and kube-apiserver using powerfulseal tool.
- Adds support to create a report with the details about each chaos
injection along with timestamps. The report is generated in the
run directory.
- Adds kubernetes package with a bunch of functions which can be
used later to talk to the kubernetes API to be able to know the
status of the targeted components/nodes.
