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+# Title
+
+Opni Alerting into a Microservice architecture
+
+## Summary :
+
+Opni Alerting requires functionality that is outside the scope of a gateway plugin, which should only be
+responsible for forwarding requests to their destination.
+
+## Usecase :
+
+- High availabiility & scaling of opni alerting
+  - each (functional) component of alerting has different requirements for maintaining consistency & availability
+- Required for high availability & scaling of opni gateway
+
+## Benefits :
+
+- Easier to manage scalability of alerting components
+- Greatly reduces complexity of opni gateway responsibility
+- Failure recovery for individual components
+- Easier to test & manage growing alerting features
+
+## Impact :
+
+- Addresses production usecases of alerting
+
+## Implementation details
+
+Currently the opni alerting architecture looks like the gateway monolith in the supporting documents.
+
+The subcomponents of each system are functionaly separate but are part of the same lifecycle
+as the gateway (or the alertmanager cluster, for the config reconciler & emitters).
+
+The components in yellow specifically belong outside the scope of the gateway since they should be able to track stateful information and operate outside of the gateway's lifecycle.
+
+In this proposal, we want to separate the gateway alerting plugin into separate services
+
+- CRUD configs
+- functional APIs & syncing configs
+- Dispatching alerts
+- Evaluating internal status
+- Emitting alerts to a default place (cache/ kubernetes events).
+
+In essence, each subcomponent is separated out to scale independently and recover from potential failures independently.
+
+## Acceptance criteria
+
+Separating the existing apis into the following separate services:
+
+- [ ] A **control plane** deployment, that manages the "sync tasks" of the alerting plugin.
+  - [ ] Applies/removes alerting configurations on their respective backend
+  - [ ] Builds the AM configuration required to route alerts to their respective endpoints
+  - [ ] Applies functional apis to their respective backends, like silencing endpoints and sending notifications to endpoints
+  - [ ] Its APIs will be served by the Gateway
+  - This can scale according to a leader election process
+- [ ] A **data plane** deployment, that manages persisting the opni alerting configurations.
+  - [ ] Stores alerting endpoints / conditions / SLOs
+  - [ ] Its APIs will be served by the Gateway
+  - This can scale according to a distributed locking mechanism
+- [ ] An **evaluator** deployment, which takes on the role of tracking the the state of internal opni components for alerting on things that are mission critical for opni
+  - [ ] evaluates status of agents / opni backends over time
+  - [ ] send alerts based on loaded user configs that track opni status
+  - This can scale via a leader election process
+- [ ] Emitter deployment
+  - Handles sending all received notifications to a backend such as:
+    - [ ] Alerting message cache
+    - [ ] Kubernetes events API
+  - In the future, sending messages to OpenSearch
+  - can scale according to builtin k8s service LB, it is completely stateless
+
+## Supporting documents
+
+### Gateway monolith
+
+![Gateway monolith](images/AlertingMiscroserviceGatewayMonolith.png)
+
+### Microservice
+
+![Microservice](images/AlertingMiscroserviceMicroservice.png)
+
+### Dependencies
+
+- Downstream Agent : https://github.com/rancher/opni/pull/1493
+- HA consistency : https://github.com/rancher/opni/pull/1408
+
+## Risks and Contigencies
+
+N/A
+
+## Level of Effort
+
+2 weeks
+
+- 1 week separating servers into opni commands + pods
+- 1 week testing
+
+## Resources
+
+- 1 Upstream and 1 Downstream alerting cluster
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