An article about implementing a durable, distributed, and highly available log using S3, covering topics such as log interfaces, conditional writes, checksums, and failover recovery.
This article explores 7 popular approaches to generating unique IDs in distributed systems, including UUIDs, database auto-increment, Snowflake IDs, Redis-based generation, NanoID, hash-based IDs, and ULIDs.
The article discusses strategies for reducing latency and costs in distributed systems by using zone-aware routing techniques. It emphasizes the importance of optimizing network traffic and resource distribution across multiple availability zones to maintain high availability and performance while minimizing data transfer costs.
Encore is an open-source backend framework and cloud platform for building distributed systems. It automates infrastructure, offers end-to-end type-safety, and provides built-in observability.
- Automated Infrastructure:
Local & Cloud (AWS/GCP) provisioning
Infrastructure semantics within application code
No separate config tools needed
- Type-Safe Microservices:
Define & call APIs like normal functions
Full type-safety & IDE auto-complete
Automatic protocol communication boilerplate
- Faster Development:
Hot reload & automatic local infrastructure setup
Simplified, speedier development process
Observability:
API explorer, distributed tracing, architecture diagrams
Service catalog with automatic API documentation
- Cloud Platform:
Seamless workflow with CI/CD, testing, & infrastructure provisioning
Preview environments for every PR
- Security & Scalability:
Battle-tested AWS/GCP services
Best practices for security & scalability
Metrics & logging for critical aspects
- Automated Infrastructure:
Local & Cloud (AWS/GCP) provisioning
Infrastructure semantics within application code
No separate config tools needed
- Type-Safe Microservices:
Define & call APIs like normal functions
Full type-safety & IDE auto-complete
Automatic protocol communication boilerplate
- Faster Development:
Hot reload & automatic local infrastructure setup
Simplified, speedier development process
Observability:
API explorer, distributed tracing, architecture diagrams
Service catalog with automatic API documentation
- Cloud Platform:
Seamless workflow with CI/CD, testing, & infrastructure provisioning
Preview environments for every PR
- Security & Scalability:
Battle-tested AWS/GCP services
Best practices for security & scalability
Metrics & logging for critical aspects
The use cases covered in the article include caching, queueing, locking, throttling, session store, and rate limiting.
