Optima

Distributed Dataset management and Calculation service

Dealing with datasets naturally

---

Entities

• Datasets
• Transformations

Dataset

• Is identifiable
• Can be versioned
• Can be Chunked
• Of type
  • Immutable
    • Id is Hash (a checksum based on a cryptographic hash) digest
      • SipHash-2-4 (64bit, fast and "good enough")
      • MD5
      • SHA256 (strongest and longest)
    • Is idemportent
  • Streamed
    • Id is globaly unique (UUID)
    • Can support autobatching into chunks (do we need this?)
      • Chunks are organized in a MerkleTree
      • Not necessary idemportent
        • head chunk(s) can be dropped
        • tail chunk is naturally mutable
    • Can simply wrap Kafka/Debezium
• Is named
• Is owned
• Can be groupped
• Has RBAC
• Is searchable
• Is audited
• Has a strongly verifiable format (Schema)
• Has heritage tracked (lineage)
• Can be represented by:
  • File
    • text
    • binary
    • csv
    • json
    • parquet
  • Database table
    • SQL
      • Oracle
      • PostgreSql
      • Sqlite
    • KV
      • RocksDB
        • Protobufs
• Has a streaming endpoint
  • gRPC (mandatory)
  • Thrift (optional)
• Governance
  • in Git following GitOps principles
  • rows as .proto messages

Transformation

• Can be one-off
• Can be executed
• Can be reoccuring
• Can be re-executed
  • creating a new Dataset
  • creating a new version of existing Dataset
• Has RBAC
  • Run
  • RerunFailed
• Can be monitored
• Governance
  • in Git following GitOps principles
  • rows as .proto messages
• Data masking (optional)
  • role sensitive masking

Infrastructure

• Sensible defaults
• Implemented:
  • with Dapr
    • MQ agnostic
    • Storage agnostic
    • Cloud agnostic
    • Database agnostic
    • does Virtual Actors
    • is simply brilliant
  • as Service Mesh
    • Linkerd or Istio
  • in K8s
  • in Docker containers
• Governance
  • in Git following GitOps principles
    • Fluxcd
  • usage quotas (optional)
• Logging
  • Logz
  • Zipkin
  • AppInsights
  • Jaeger
  • etc
• Location awarness (optional)

Monitoring

• gRPC liveness probe
• K8s monitoring tools
  • Prometeus
  • Grafana
  • Linkerd, Flux, etc. admin pages

Principles

• Data masking out-of-the-box
• "The cheapest way of doing something is not doing it at all"
• "Staying on the shoulders of giants"
• "nocode" - "Don't solve in code what can be solved in the infrastructure"
• Automate, automate, automate
• k8s are capable to doing a lot