IF4054 Pengoperasian Sistem Perangkat Lunak

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UTS

Rangkuman X-Ops

• Pengantar X-Ops

  • Course Overview and X-Ops Scope
  • Software Delivery Anti-Patterns and Fowler Principles
  • DevOps Definition, History and Lifecycle

• MLOps dan DataOps

  • MLOps Motivation and Benefits
  • MLOps Flow - Development, Serving and Monitoring
  • MLOps Maturity Levels 0 to 2
  • DataOps Definition, Motivation and Tasks

• DevOps, Containers dan Foundations

  • XOps Pillars and Cloud Native Applications
  • The Twelve-Factor App
  • Microservices Architecture Patterns
  • Containerization - Containers, VMs and Migration
  • Container Best Practices - Security, Performance and Observability
  • Git, Docker, Compose and MinIO Toolchain

• CI Automation dan Shift-Left

  • Continuous Integration and the Shift-Left Cost Curve
  • CI Principles - Fail Fast, Immutable Artifacts and Trunk-Based Development
  • The Automated Testing Pyramid
  • Static Analysis in the Pipeline - Lint, SAST and SCA
  • Container Scanning, Artifact Registries and SLSA
  • CI Tooling and Full Pipeline Assembly

• IaC dan Cluster Security

  • Infrastructure as Code Fundamentals
  • Idempotency, Immutable Infrastructure and the Terraform Workflow
  • Kubernetes Architecture and Core Objects
  • Cluster Security - RBAC, Admission Control and Kyverno
  • Terraform, Kubernetes and Kyverno in Practice

• Release Engineering dan Delivery

  • Release Engineering and Blast Radius
  • Deployment Strategies - Rolling, Blue-Green and Canary
  • Decoupling Deployment from Release and Metric-Driven Rollbacks
  • GitOps Principles and the Push vs Pull Model
  • Helm, ArgoCD and DevSecOps in the Release Pipeline
  • Release Best Practices and Anti-Patterns

• DataOps Foundation

  • DataOps Foundations - From Stale CSV to Principles
  • Batch vs Streaming and Publish-Subscribe Messaging
  • Kafka Core Concepts - Topics, Partitions, Consumer Groups and Offsets
  • Delivery Semantics and the Raw Data Lake
  • Event Schemas, Data Contracts and Avro Schema Evolution
  • Ingestion Quality, Dead Letter Queues and Failure Drills

• DataOps Security, Quality dan Privacy

  • Cost of Bad Data and the PayLend Case
  • DAMA-DMBOK Knowledge Areas
  • Data Quality Dimensions and the DMBOK Lifecycle
  • Shift-Left Data Testing and Data Contracts
  • Security vs Privacy and PII Handling
  • Presidio, Great Expectations, dbt and Pipeline Orchestration