Saurav Kumar's contributions

Apache Iceberg: The open table format revolutionizing data lakehouses with ACID transactions, schema evolution, and time travel for massive analytics.

Compare Temporal vs Dapr Workflows for distributed application orchestration. Choose the right platform based on complexity, scale, and ecosystem.

Unlock vendor-neutral observability with the OpenTelemetry Collector. Build scalable pipelines for logs, metrics, and traces.

Run VMs in Kubernetes with KubeVirt! Manage legacy apps, hybrid workloads, and modernize gradually on a unified platform.

PocketBase vs Supabase: Compare open-source BaaS platforms. Choose between PocketBase's simplicity & Supabase's PostgreSQL power for your app.

Master Nix for reproducible development environments. Learn its core concepts, practical examples, and how it ensures consistency across all stages.

Unlock high-performance I/O with Linux io_uring. Reduce overhead, minimize context switches, and boost throughput for modern applications.

Understand Software Bills of Materials (SBOMs): essential for modern app security, vulnerability management, and supply chain transparency.

Master PostgreSQL Logical Replication for high availability. Learn its architecture, benefits, and use cases for scalable, resilient data systems.

Master Consistent Hashing for scalable distributed apps. Learn how it minimizes data movement during scaling and failures.

Master Temporal Workflows: Build reliable, fault-tolerant distributed apps with durable execution, automatic retries, and state management.

Explore CRDTs: Conflict-Free Replicated Data Types for seamless, conflict-free data sync in distributed apps, ensuring eventual consistency.

Unlock AI's potential with vector search! Discover how it powers modern applications, RAG, and semantic understanding beyond keywords.

Platform Engineering builds Internal Developer Platforms to simplify cloud-native development, boost productivity, and streamline software delivery.

Compare Event Sourcing vs CRUD: understand their core differences, real-world use cases, pros, cons, and when to choose each for your application.

Understand Zero Trust Architecture (ZTA): a security model that never trusts, always verifies. Essential for developers building secure, distributed apps.

Build a unified Data Lakehouse architecture from scratch, combining data lake flexibility with data warehouse reliability for analytics and AI.

Graph vs. Relational Databases: Understand strengths, weaknesses, and use cases to choose the right data model for your application.

Unlock real-time analytics for cloud-native apps with ClickHouse. Learn its columnar architecture, OLAP strengths, and best practices for massive datasets.

Build AI features in ASP.NET Core with Small Language Models (SLMs) for lower costs, faster responses, and better privacy than LLMs.

Build an AI-powered log analysis platform with .NET and OpenTelemetry to gain actionable insights, detect anomalies, and accelerate root cause analysis.

Build an AI-powered knowledge base search with ASP.NET Core & Azure AI Search. Enhance productivity with semantic search & RAG.

Build an intelligent feature flag platform with ASP.NET Core for safer, faster releases, A/B testing, and data-driven rollouts.

Build an AI-driven .NET and SQL Server analyzer to boost database query performance, reduce troubleshooting time, and enhance application responsiveness.