Using Kubernetes to Deliver a Serverless Service
Explore how Kubernetes enables serverless architecture, focusing on autoscaling, compute-storage separation, and distributed database management for efficient, cost-effective software delivery.
MicroK8s HA Under the Hood - Kubernetes with Dqlite
Explore MicroK8s' high availability design using distributed SQLite for production Kubernetes, offering zero-ops experience and seamless functionality in cloud and server deployments.
Principles of the CAP Theorem and Distributed Data
Explore the CAP Theorem's impact on distributed databases, understanding consistency, availability, and partition tolerance guarantees for informed system design decisions.
Deploying a Database on Kubernetes - Architecture and Challenges
Explore the architecture of distributed databases on Kubernetes, discussing challenges and solutions for optimal deployment and performance.
Kubernetes, Data, and a Distributed Mindset - Deep Dive into Distributed SQL Architecture
Explore distributed SQL architecture, focusing on Kubernetes integration and scalable database solutions for modern cloud-native applications.
The Accord Consensus Protocol: ACID Transactions Globally at Any Scale
Explore the Accord Consensus Protocol for global ACID transactions, comparing it with previous protocols and understanding its industry-leading characteristics.
Spanner - Google's Distributed Database
Explore Google's Spanner: a planet-scale distributed database with innovative features like lock-free strong reads and globally consistent snapshots, enabled by GPS and atomic clocks.
Wikimedia Content API - A Cassandra Use-case
Explore Wikimedia's use of Apache Cassandra for their content API, addressing challenges in storing and serving massive datasets with low latency in a global environment.
Partitions for Everyone
Explores network partitions in distributed systems, revealing design limits and bugs. Demonstrates challenges in building reliable distributed services through real-world testing of popular systems.
Building Financial Systems on Eventually Consistent DBs
Explore Netflix's innovative approach to building scalable, available, and consistent financial systems using eventually consistent databases, balancing tradeoffs between availability and data integrity.
Spanner - Google’s Globally-Distributed Database
Explore Google's Spanner: a globally-distributed database with scalability, multi-version support, and synchronous replication. Learn about its structure, features, and innovative time API for external consistency.
The Evolution of a Planetary-scale Distributed Database
Explore the evolution of New Relic's telemetry database, from its inception to a globally distributed system. Learn about architectural challenges, solutions, and insights into building large-scale distributed systems.
When Distributed Database Meets Cloud - Lessons Learned
Lessons learned from migrating distributed databases to cloud: containerization, architecture redesign, smart scheduling, workload distribution, automation with Operators, and CNCF project integration.
Provisioning the Distributed Database TiDB on Kubernetes
Explore TiDB deployment on Kubernetes, focusing on local persistent volume support and operator pattern for managing distributed databases in cloud-native environments.
Why Are Distributed Systems So Hard?
Explore the challenges of distributed systems, including CAP theorem myths, network partitions, consensus algorithms, and human factors, with cat-illustrated examples.
NoSQL Databases - What, Why, and When
Explore NoSQL databases: their principles, types, and use cases. Learn about distributed systems, consistency models, and popular NoSQL solutions for modern data challenges.
Solving Classical Data Analytic Task by Using Modern Distributed Databases
Explore modern distributed databases for efficient data analytics, overcoming NoSQL limitations and Hadoop performance issues. Learn about fast parallel query engines and their applications.
Riak & Dynamo, Five Years Later
Reflection on Riak and distributed databases, discussing successes, challenges, and future prospects. Insights into NoSQL evolution since Amazon's Dynamo paper, with focus on Riak's journey and innovations.
Don't Give Up on Serializability Just Yet
Explore serializability in distributed databases, its benefits, and challenges. Learn about consistency models, transaction execution, and the balance between consistency and performance in modern systems.
From Cradle to Grave - The Life of Machine Data
Explore machine data lifecycle: generation, transfer, storage, and analysis. Learn tools and practices for handling large-scale data, with live demo on MQTT, CrateDB, visualization, and machine learning applications.
Consistency and Isolation for Python Programmers
Explore database isolation levels and consistency in distributed systems. Understand tradeoffs between anomalies, parallelism, and latency using Python simulations. Make informed decisions for confident database usage.