
Learn to deploy machine learning chatbots using CI/CD, covering load balancing, testing, and model retraining. Gain practical insights for taking prototypes to production and iterating faster.

Learn to build Flask apps for Cloud Run, using Cloud Code for faster development. Explore integration with Cloud SQL, Pub/Sub, and Secret Manager on Google Cloud's serverless platform.

Explore event-driven microservices using Python and Apache Kafka. Learn to build loosely coupled, extensible distributed systems with an example application and practical considerations.

Explore how GraphQL can simplify complex microservices architectures, serving as an effective API gateway for modern single-page applications and distributed systems.

Explore Raft consensus implementation in distributed databases using rqlite and Python. Learn about data integrity, fault tolerance, and high availability in modern applications.

Explore Temporal.io, an open-source platform enhancing asyncio with durability and distributed capabilities. Learn how it transforms fault-tolerant system design and implementation.

Learn to leverage SQL Server Service Broker for asynchronous processing, database integration, and event notifications. Explore architecture, contracts, message types, and implementation techniques.

Explore the differences between relational, non-relational databases, and Hadoop, covering origins, key features, use cases, and Microsoft's data platform solutions.

Explore SQL Server 2019's enhanced capabilities on Linux and containers, including new features like Replication, DTC, and Polybase, for a robust enterprise database solution across diverse platforms.

Exploring the need for a dedicated metadata cache in file systems to optimize performance, especially for distributed systems like FhGFS, Lustre, and Cephfs.

Explore flexible distributed Linux kernel live patching with Elivepatch, a tool for efficient and secure system updates without rebooting.

Learn to implement web applications using Azure Static Web Apps and Azure Functions, overcoming default restrictions to create reliable systems with message queues for seamless data handling.

Explore gRPC, a powerful RPC framework for building distributed systems. Learn its key features, application in client-server communication, and how to contribute to the project.

Learn to build a cloud-agnostic data lake using Kubernetes, Rook, and Ceph for AI workloads. Discover how to provide unified data access across multiple data centers for data scientists and developers.

Explore NATS for flexible, secure data sharing in distributed systems. Learn messaging patterns, design principles, and how NATS solves cloud-native communication challenges across various deployments.

Seamless migration of Nokia's big data analytics platform from Apache Mesos to Kubernetes, sharing insights on maintaining performance, reliability, and continuous delivery during the transition process.

Explore TiKV's architecture and recent developments, including Titan storage engine and multithreaded raft store. Learn how these features enable serving massive datasets in distributed key-value databases.

Explore Stateful Functions: a new pattern for stateful serverless applications using containerized, event-driven functions with Apache Flink for state management and inter-function messaging.

Explore Rook's Ceph storage provider for Kubernetes, covering architecture, improvements, and production-ready management features for cloud-native environments.

Explore a stateless Fluentd deployment using Kafka as a centralized log buffer, improving failure tolerance and reliability in log processing and routing.

Explore optimization techniques for Rook/Ceph on Kubernetes, focusing on network stack improvements to match bare-metal performance. Learn measurement, discovery, and optimization processes across architectures and CNI plugins.