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(chore)roadmap: update the litmus roadmap (#4953) 

Signed-off-by: ksatchit <karthik.s@harness.io>
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Karthik Satchitanand 2024-11-21 17:00:11 +05:30 committed by GitHub
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ROADMAP.md
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@ -11,47 +11,62 @@ This document captures only the high level roadmap items. For the detailed backl
- Per-experiment minimal RBAC permissions definition - Per-experiment minimal RBAC permissions definition
- Creation of 'scenarios' involving multiple faults via Argo-based Chaos Workflows (with examples for microservices apps like podtato-head and sock-shop) - Creation of 'scenarios' involving multiple faults via Argo-based Chaos Workflows (with examples for microservices apps like podtato-head and sock-shop)
- Cross-Cloud Control Plane (Litmus Portal) to perform chaos against remote clusters - Cross-Cloud Control Plane (Litmus Portal) to perform chaos against remote clusters
- Helm3 charts for LitmusChaos (control plane and experiments) - Helm charts for LitmusChaos control plane
- Helm Chart for LitmusChaos execution Plane
- Support for admin mode (centralized chaos management) as well as namespaced mode (multi-tenant clusters) - Support for admin mode (centralized chaos management) as well as namespaced mode (multi-tenant clusters)
- Continuous chaos via flexible schedules, with support to halt/resume or (manual/conditional) abort experiments - Continuous chaos via flexible schedules, with support to halt/resume or (manual/conditional) abort experiments
- Provide complete workflow termination/abort capability
- Generation of observability data via Prometheus metrics and Kubernetes chaos events for experiments - Generation of observability data via Prometheus metrics and Kubernetes chaos events for experiments
- Steady-State hypothesis validation before, during and after chaos injection via different probe types - Steady-State hypothesis validation before, during and after chaos injection via different probe types
- Support for Docker, Containerd & CRI-O runtime - Support for Docker, Containerd & CRI-O runtime
- Support for scheduling policies (nodeSelector, tolerations) and resource definitions for chaos pods - Support for scheduling policies (nodeSelector, tolerations) and resource definitions for chaos pods
- ChaosHub refactor for 2.x user flow
- Support for ARM64 nodes - Support for ARM64 nodes
- Minimized role permissions for Chaos Service Accounts
- Scaffolding scripts (SDK) to help bootstrap a new chaos experiment in Go, Python, Ansible - Scaffolding scripts (SDK) to help bootstrap a new chaos experiment in Go, Python, Ansible
- Support orchestration of non-native chaos libraries via the BYOC (Bring-Your-Own-Chaos) model - Support orchestration of non-native chaos libraries via the BYOC (Bring-Your-Own-Chaos) model
- Support for OpenShift platform - Support for OpenShift platform
- Workflow YAML linter addition
- Integration tests & e2e framework creation for control plane components and chaos experiments - Integration tests & e2e framework creation for control plane components and chaos experiments
- Documentation (usage guide for chaos operator, resources & developer guide for new experiment creation) - Documentation (usage guide for chaos operator, resources & developer guide for new experiment creation)
- Improved documentation and tutorials for Litmus Portal based execution flow
- Add architecture details & design resources - Add architecture details & design resources
- Define community sync up cadence and structure - Define community sync up cadence and structure
------ ------
### In-Progress (Under Active Development) ### In-Progress (Under Design OR Active Development)
- Support for all ChaosEngine schema elements within workflow wizard - Native Chaos Workflows with redesigned subscriber to improve resource delegation, enabling seamless and efficient execution of chaos workflows within Kubernetes clusters.
- Workflow YAML linter addition - Introduce transient runners to improve resource efficiency during chaos experiments by dynamically creating and cleaning up chaos runner instances.
- Minimized role permissions for Chaos Service Accounts - Implement Kubernetes connectors to enable streamlined integration with Kubernetes clusters, providing simplified authentication and configuration management.
- Chaos-center users account to chaosService account map - Integrate with tools like K8sGPT to generate insightful reports that identify potential weaknesses in your Kubernetes environment before executing chaos experiments.
- Provide complete workflow termination/abort capability - Add Terraform support for defining and executing chaos experiments on infrastructure components, enabling infrastructure-as-code-based chaos engineering.
- Cross-hub experiment support within a Chaos Workflow - Add SDK support for Python and Java, with potential extensions to other programming languages based on community interest.
- Helm Chart for Chaos Execution Plane - Include in-product documentation, such as tooltips, to improve user experience and ease of adoption.
- Enhanced CRD schema for ChaosEngine to support advanced CommandProbe configuration - Implement the litmus-java-sdk with a targeted v1.0.0 release by Q1.
- Support for S3 artifact sink (helps performance/benchmark runs) - Integrate distributed tracing by adding attributes or events to spans, and create an OpenTelemetry demo showcasing chaos engineering observability.
- ChaosHub refactor for 2.x user flow - Enhance the exporter to function as an OpenTelemetry collector, providing compatibility with existing observability pipelines.
- Chaos experiments against virtual machines and cloud infrastructure (AWS, GCP, Azure, VMWare, Baremetal) - Add support for DocumentDB by replacing certain MongoDB operations, improving flexibility for database chaos.
- Improved documentation and tutorials for Litmus Portal based execution flow - Upgrade Kubernetes SDK from version 1.21 to 1.26 to stay aligned with the latest Kubernetes features and enhancements.
- Off the shelf chaos-integrated monitoring dashboards for application chaos categories - Refactor the chaos charts to:
- Support for user defined chaos experiment result definition - Replace latest tags with specific, versioned image tags.
- Increased fault injection types (IOChaos, HTTPChaos, JVMChaos) - Consolidate multiple images into a single optimized image.
- Special Interest Groups (SIGs) around specific areas in the project to take the roadmap forward - Update GraphQL and authentication API documentation for improved clarity and user guidance.
- Add comprehensive unit and fuzz tests to enhance code reliability and robustness.
- Implement out-of-the-box Slack integration for better collaboration and monitoring during chaos experiments.
------ ------
### Backlog ### Backlog
- Pre-defined chaos workflows to inject chaos during application benchmark runs - Validation support for all ChaosEngine schema elements within workflow wizard
- Support for cloudevents compliant chaos events - Chaos-center users account to chaosService account map
- Improved application Chaos Suites for various CNCF projects - Cross-hub experiment support within a Chaos Workflow
- Enhanced CRD schema for ChaosEngine to support advanced CommandProbe configuration
- Support for S3 artifact sink (helps performance/benchmark runs)
- Chaos experiments against virtual machines and cloud infrastructure (AWS, GCP, Azure, VMWare, Baremetal)
- Off the shelf chaos-integrated monitoring dashboards for application chaos categories
- Support for user defined chaos experiment result definition
- Increased fault injection types (IOChaos, HTTPChaos, JVMChaos)
- Special Interest Groups (SIGs) around specific areas in the project to take the roadmap forward