
Optimize AWS Disaster Recovery costs: Select appropriate procedures, assign budgets, explore setups from 'pilot light' to 'warm standby', eliminate 'zombie resources', and implement efficient cost monitoring strategies.

Explore a case study on implementing Kafka-based microservices data pipelines at scale in Evernorth Health Services, showcasing real-world applications and challenges.

Explore Apache Kafka's transaction evolution, from KIP-98 to KIP-890, covering idempotency, protocol improvements, and solutions for hanging transactions.

Explore declarative streaming data pipelines on Kubernetes using Flink and SQL. Learn to simplify development, integrate systems, and optimize configurations for efficient stream processing.

Explore partition multihoming (PMH) to mitigate Kafka broker gray failures, enhancing reliability for key-based partitioning. Learn implementation details, workflow, and future roadmap for virtual partitioning in Apache Kafka.

Explore the multi-year journey to enhance Confluent Cloud's performance, learning about workload design, cloud-native complexities, challenges faced, and key principles for improving data streaming systems.

Explore active-active geo-replication in Venice, addressing challenges of last-writer-wins scenarios and enhancing data infrastructure for real-time, multi-source streaming across organizations.

Develop real-time ML applications using Generative AI and Kafka Streams, leveraging data in motion for intelligent, streaming-based solutions.

Explore Robinhood's Consumer Proxy for efficient Kafka management. Learn how to decouple consumer logic, resource utilization, and failure handling from application code, enabling easier scaling and centralized infrastructure management.

Explore Azure Functions for data interactions with Azure SQL, Cosmos DB, and Event Hubs. Learn to build lightweight, code-first APIs, integrations, ETL, and maintenance routines.

Explore Power BI and Azure Synapse Analytics integration, learning effective data leveraging techniques to maximize insights and optimize your data strategy.

Explore essential steps to make Kubernetes production-ready, covering cluster decisions, logging, metrics, ingress, network policies, and deployment automation tools.

Discover how Pants build system revolutionizes Python development by automating dependency management, testing, and deployment - similar to Rust's Cargo, enabling efficient handling of large codebases and microservices.

Optimize automation schedules and reduce failure detection time using self-service reinforcement learning tools. Learn from Netflix's applied RL service deployment experience.

Discover innovative approaches to large-scale vulnerability detection using unconventional data sources, focusing on forgotten cloud assets and leaked secrets to identify critical security weaknesses in major organizations.

Explore cloud security challenges, application vulnerabilities, and hacking techniques with experts Andrew Hay and Matt Johansen in this insightful BSidesLV presentation.

Learn to create a cost-effective, customizable penetration testing environment using Amazon EC2. Explore setup, configuration, and best practices for building a secure and scalable virtual lab.

Explore sentiment analysis of spam messages using cloud computing and machine learning, with a humorous twist involving llama photos.

Learn to connect distributed GraphQL microservices using Apollo Federation, enabling seamless querying of multiple APIs through a single endpoint. Explore implementation with AWS AppSync and Apollo Server in Azure Function.

Explore Azure Container Apps and Dapr for simplified microservices deployment, offering scalability and reliability without Kubernetes complexity. See how developers benefit from this opinionated environment.

Explore serverless and low-code technologies to build core airline applications in real-time, demonstrating their potential to boost developer productivity using Azure tools.