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  • 👉Getting Started
    • Introduction
    • Quick start
    • Learn by example
    • Case studies
    • How to contribute?
  • ⭐Memphis Broker
    • Architecture
    • Key concepts
      • Message broker
      • Station
      • Producer API
      • Consumer API
      • Consumer Group
      • Storage and Redundancy
      • Security/Authentication
      • Scaling
      • Ordering
      • Dead-letter Station (DLS)
      • Delayed messages
      • Data exchange
      • Idempotency (Duplicate processing)
      • Failover Scenarios
      • Troubleshooting process
      • Connectors
    • Best practices
      • Producer optimization
      • Compression
    • Memphis configuration
    • Comparisons
      • NATS Jetstream vs Memphis
      • RabbitMQ vs Memphis
      • AWS SQS vs Memphis
      • Apache Kafka vs Memphis
      • Apache Pulsar vs Memphis
      • ZeroMQ vs Memphis
      • Apache NiFi vs Memphis
    • Privacy Policy
  • ⭐Memphis Schemaverse
    • Overview
    • Getting started
      • Management
      • Produce/Consume
        • Protobuf
        • JSON Schema
        • GraphQL
        • Avro
    • Comparison
    • KB
  • 📦Open-Source Installation
    • Kubernetes
      • 1 - Installation
      • 2 - Access
      • 3 - Upgrade
      • Terraform
        • Deploy on AWS
        • Deploy on GCP
        • Deploy on DigitalOcean
      • Guides
        • Deploy/Upgrade Memphis utilizing predefined secrets
        • Monitoring/Alerts Recommendations
        • Production Best Practices
        • NGINX Ingress Controller and Cloud-Agnostic Memphis Deployments
        • Migrate Memphis storage between storageClass's
        • Expanding Memphis Disk Storage
        • Scale-out Memphis cluster
        • TLS - Deploy Memphis with TLS Connection to Metadata Frontend
        • TLS - Memphis TLS websocket configuration
        • TLS - Securing Memphis Client with TLS
        • Installing Memphis with an External Metadata Database
    • Docker
      • 1 - Installation
      • 2 - Access
      • 3 - Upgrade
    • Open-source Support
  • Client Libraries
    • REST (Webhook)
    • Node.js / TypeScript / NestJS
    • Go
    • Python
    • Kotlin (Community)
    • .NET
    • Java
    • Rust (Community)
    • NATS
    • Scala
  • 🔌Integrations Center
    • Index
    • Processing
      • Zapier
    • Change data Capture (CDC)
      • Debezium
    • Monitoring
      • Datadog
      • Grafana
    • Notifications
      • Slack
    • Storage tiering
      • S3-Compatible Object Storage
    • Source code
      • GitHub
    • Other platforms
      • Argo
  • 🗒️Release notes
    • KB
    • Releases
      • v1.4.3 - latest/stable
      • v1.4.2
      • v1.4.1
      • v1.4.0
      • v1.3.1
      • v1.3.0
      • v1.2.0
      • v1.1.1
      • v1.1.0
      • v1.0.3
      • v1.0.2
      • v1.0.1
      • V1.0.0 - GA
      • v0.4.5 - beta
      • v0.4.4 - beta
      • v0.4.3 - beta
      • v0.4.2 - beta
      • v0.4.1 - beta
      • v0.4.0 - beta
      • v0.3.6 - beta
      • v0.3.5 - beta
      • v0.3.0 - beta
      • v0.2.2 - beta
      • v0.2.1 - beta
      • v0.2.0 - beta
      • v0.1.0 - beta
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  1. Getting Started

Case studies

Please pay attention that Memphis.dev is no longer supported officially by the Superstream (formerly Memphis.dev. team) and was released to the public.

Last updated 1 year ago

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Synchronizing data using Memphis.dev: A case study.Medium
Made by Gastromatic.de
How KELA is using Memphis.dev for real-time cyber threats identificationMedium
Memphis.dev — How Dstny is Building the Future of In-House Communication Using Memphis.devMedium
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