
Comprehensive guide covering DBMS concepts, from basic architecture to advanced topics like partitioning and sharding. Ideal for placement interview preparation, with practical examples and in-depth explanations.

Scaling Postgres for time series data using Citus: partitioning, distribution, and automation techniques to handle high-volume, ever-growing data efficiently across a cluster.

Learn Elasticsearch 7 basics to advanced concepts, including setup, configuration, and Query DSL. Hands-on demos cover key features and use cases for efficient data search and analysis.

Pengenalan komprehensif Elasticsearch untuk pemula, mencakup konsep dasar, arsitektur, instalasi, operasi CRUD, pencarian, dan agregasi data dalam lingkungan terdistribusi.

Explore decentralized routing for sharded applications on service mesh using WASM to extend Envoy, enabling efficient and scalable request routing without a dedicated frontend layer.

Comprehensive introduction to time series data, exploring its nature, importance, and practical applications. Learn about InfluxDB and effective data management techniques.

Explore RapidChain's innovative full sharding approach to overcome blockchain scalability limitations, enhancing performance and efficiency in decentralized networks.

Explore OmniLedger, a secure, scalable blockchain system using sharding for high-performance decentralized ledgers. Learn about its innovative design, cross-shard transactions, and performance capabilities.

Explore database optimization techniques including partitioning and sharding. Learn about scale-up methods, replica sets, and strategies for scaling out databases to improve performance and efficiency.

Learn about Vitess architecture, sharding metadata, and key features. Explore use cases, design strategies, and practical solutions for scaling and managing distributed databases.

Explore sharding strategies for scaling systems from single-node to planet-scale. Learn about trade-offs, common problems, and effective patterns to guide your journey in system growth and optimization.

Explore how a digital bank built and scales its microservices architecture, focusing on cloud-based infrastructure, Kubernetes deployment, and custom tooling for high reliability and fast development cycles.

Technical deep dive into Oracle Sharding, covering implementation, use cases, and new features for building applications with petabytes of data, millisecond response times, and extreme availability using a shared-nothing architecture.

Explore Oracle's Maximum Availability Architecture for full-stack data protection, ensuring uninterrupted applications and high availability across database and middle-tier layers.

Secure sharding protocol for open blockchains addressing scalability issues. Introduces Elastico, a novel solution using directory committees and epoch randomness for improved performance and security.

Explore reactive architectures: concepts, patterns, and real-world applications. Learn when to leverage this paradigm for building responsive, resilient cloud-native systems.

Explore Netflix's multi-region strategy for improved availability and latency, including algebraic models, incident management, and design considerations for efficient failovers and user steering.

Explore strategies for scaling applications, from hardware solutions to optimization techniques, caching, and database management, to improve performance and handle increased user loads.

Explore nature-inspired reactive architecture for efficient, resilient software solutions. Learn from honeybees to create responsive applications using frameworks and real-world examples.

Explore reactive systems architecture for modern software design. Learn about asynchronous messaging, isolation, back-pressure, and microservices to build scalable, resilient applications suited for 21st-century challenges.

Insights on scaling a tech company from hundreds to billions of daily metrics, covering strategic decisions in sharding, caching, and hardware improvements for effective growth.