Performance Tuning Azure SQL Database
Learn Azure SQL Database performance tuning techniques, monitoring tools, and scaling strategies to optimize cloud database performance and overcome common challenges.
Cost Optimizing Azure SQL Databases - More for Less
Dive deep into Azure SQL Database cost optimization strategies, exploring various dimensions and aspects to maximize efficiency and value.
When to Stop Tuning a Query - Optimization Techniques and Challenges
Explore SQL query tuning techniques, challenges, and optimization strategies to determine when a query is sufficiently optimized.
Best Practices in PostgreSQL Tuning - Navigating Key Performance Bottlenecks in the Cloud
Optimize PostgreSQL performance in cloud environments through practical techniques for diagnosing and solving common bottlenecks, enhancing database efficiency and health.
An Introduction to Extended Events
Learn to set up and utilize Extended Events for SQL Server performance monitoring and troubleshooting.
Optimize Apache Kafka with Cruise Control
Discover how Cruise Control optimizes Kafka clusters, maximizing hardware resources and simplifying management with AMQ Streams operator.
5-Minute Practical Streaming Techniques That Can Save You Millions
Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.
The Nuts and Bolts of Kafka Streams - An Architectural Deep Dive
Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.
Kubernetes 在實務上的 CAP 定理 - KCD Taipei 2024
深入探討 Kubernetes 環境中的 CAP 原則，分析大型叢集管理問題及解決方案。優化叢集配置以平衡效能、成本和可用性。
War Stories: Fighting the PostgreSQL Support Trenches
Dive into 20+ years of PostgreSQL support experiences, learning valuable lessons through entertaining anecdotes from the trenches.
From Request to Response and Everything in Between - Rails Web Request Handling
Explore web request handling in Rails, from single requests to high-traffic scenarios. Learn to optimize infrastructure for maximum throughput and user satisfaction.
Apache Spark Performance Tuning and Best Practices
Optimize Apache Spark performance with best practices for production environments, covering system tuning, casting, broadcasting, serialization, and memory management.
Performance Tuning for Azure Cosmos DB - NDC Oslo 2024
Optimize Azure Cosmos DB performance through indexing policies, connection configurations, workload estimation, and throughput selection. Learn .NET/SDK settings and server-side programming for faster solutions.
Taking HACC into the Exascale Era - New Code Capabilities and Challenges
Explore HACC's evolution for exascale systems, new capabilities, and performance optimization in cosmology simulations.
Optimizing Java Runtime Performance on Arm CPUs
Explore Java platform optimizations for enhanced runtime performance on cutting-edge Arm CPUs, delving into advanced techniques and strategies.
Optimizing Code on Arm: VectorCamp's Approach to SVE and SVE2 Intrinsics
Explore VectorCamp's optimization techniques for SVE and SVE2 intrinsics, enhancing code performance on Arm architecture.
Building AAA Mobile Games with Unreal Engine for Android - Unreal Fest 2024
Discover best practices for creating AAA mobile games on Android with Unreal Engine, covering design, optimization, and tools through a live demo of a high-quality game.
Continuous Optimization of Microservices Using Machine Learning
Explore Bayesian optimization for continuous performance tuning of microservices, addressing challenges in data centers and improving resource utilization through machine learning techniques.
What do you mean by "Cache Friendly"?
Explore CPU cache memory, its impact on performance, and techniques for optimizing data structures and algorithms to improve cache efficiency and software speed.
C++20's Likely Attribute - Optimizations, Pessimizations, and Unlikely Consequences
Explore C++20's [[likely]] attribute, its impact on optimizations, and potential consequences. Gain insights into branch prediction, performance tuning, and effective benchmarking techniques.
Bringing an AI System from Proof of Concept to Deployment
Learn to create production-grade AI systems: from MVP to scaling, performance tuning, and MLOps. Gain insights on hardware sizing, latency optimization, and avoiding common pitfalls.