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Tracing Frameworks for AI: Distributed Tracing in LLM Applications
Effective tracing reveals the inner workings of AI applications, helping you understand performance bottlenecks, cost drivers, and error sources across your…
Distributed Systems
9 articles
1 min read
Dapr 1.11: Building Distributed Applications with Ease
Dapr simplifies building distributed applications by providing standardized building blocks. Tomorrow, I will conclude the May series with a summary.
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Understanding Hyperscale Citus Architecture
Understanding this architecture helps you make informed decisions about data modeling and query optimization in your distributed PostgreSQL deployments.
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Dapr 1.7: New Features for Distributed Applications
Dapr (Distributed Application Runtime) is a portable, event-driven runtime that makes it easy to build resilient, microservice applications. It provides…
1 min read
Federated Learning: Privacy-Preserving Machine Learning
Federated learning in 2021 moved from research to practical deployment. Healthcare, finance, and mobile applications led adoption where data privacy is…
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Implementing Conflict Resolution Policies in Cosmos DB
Proper conflict resolution is essential for multi-region write scenarios. Choose the right strategy based on your data semantics and ensure thorough testing…
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Understanding Cosmos DB Consistency Levels: Tradeoffs and Best Practices
Consistency levels in Cosmos DB give you fine-grained control over the CAP theorem tradeoffs, enabling you to optimize for your specific application…
1 min read
PostgreSQL Hyperscale (Citus) on Azure: Distributed Database Patterns
Hyperscale uses the Citus extension to create a distributed database: Coordinator : Routes queries, stores metadata Workers : Store data shards, execute…
1 min read
Azure Cosmos DB Consistency Levels Explained
Strong and Bounded Staleness cost double because reads wait for quorum. Start with Session - it provides intuitive consistency for users while maintaining…