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Product Deliverables
Mikkin Patel edited this page May 21, 2018
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The first product deliverable is the following:
- Updated CP 4.1 Confluent docker images and Helm charts. Covers all Confluent Platform components.
- Reference Architecture white paper that describes how to provision Confluent Platform on Kubernetes.
Design considerations to cover:
- How to expose broker IPs to external clients. Direct client <> broker communication happens over TCP.
- Expose the bootstrap address
- How to configure Zookeeper to know about each Zookeeper node addresses
- Docker image best practices:
- List all ports that are exposed by the Docker images
- List all volume paths that are needed by the Docker images
Determine recommendations for these environmental considerations:
- Logging
- Persistent volumes
- JMX Monitoring
- Security
Dividing up the first product deliverable into milestones:
- 3 node zookeeper, 3 node Kafka broker, 1 node rest proxy
- Full Confluent Platform across multiple nodes
- Logging
- Confluent Platform does not provide opinions about how to log
- Options:
- Kubernetes supports for a bare bones logging
- (v1) Sidecar approach for gathering and aggregating logs
- Configuration
- (v1) Use ConfigMaps - the native way for Kubernetes
- Passed into Docker images via environment variables, and then a script
- Consider: Restricting user from editing certain configurations, by providing defaults that make sense for the 90% use cases
- Look at Zookeeper helm chart
- Provide a values.yaml to define default configurations passed to template (https://github.com/kubernetes/charts/blob/master/incubator/zookeeper/values.yaml)
- Security
- Goal: Be able to deploy Confluent Platform with security enabled on the server side
- Enable the operator to manually set up
- Upgrades
- Rolling upgrades are supported in Confluent Platform
- Docker images might need to change to accommodate this.
- Persistent volumes
- What goes on persistent storage?
- Data dir logs (logs.dir)
- What goes on persistent storage?
- Monitoring
- How do we monitor ZK to ensure that there isn't a split brain scenario? Do we have anything in C3?
- Scaling
- What do we need to do to scale down brokers?
May 31st deliverable TODOs:
- Configuration parameters for Docker image for Connect.
- Monitoring for SR, RP, and Connect
- Documentation of umbrella charts
- CLA bot
- Apache license for cp-helm-chart
- Remove wiki entries