
Explore how Databricks on Google Cloud leverages GKE for scalability, enabling AI/ML infrastructure to handle growing demands. Learn from NEAR's experience and discover extensive integrations with Google Cloud services.

Learn to build a scalable solution for unstructured data ingestion in LLM applications using Unstructured and Databricks, addressing challenges and exploring efficient methods.

Explore Apache Flink's core principles for real-time data processing, including shared-nothing architecture, event-time processing, and state snapshots, through practical examples and demos.

Discover insights on scaling experimentation to billions of users, learn best practices, and explore lessons from Statsig's rapid growth in product analytics and decision-making.

Explore solutions for scaling engineering teams, addressing challenges, and optimizing productivity in large-scale Rails projects.

Explore optimal approaches for real-time machine learning using Apache Spark on Kubernetes, covering best practices for efficient model training, deployment, and serving in low-latency, high-scalability environments.

Explore integrated use of Apache Toree, YuniKorn, Spark, and Airflow for efficient, scalable data pipelines. Learn to leverage these projects for optimized data processing and workflow orchestration.

Learn to securely scale distributed data processing with automatic credential management in Apache Spark and Apache Flink. Explore common authentication challenges and solutions for high-load scenarios.

Discover how YTsaurus evolved its big data platform automation, from basic infrastructure needs to advanced user-centric features, managing 20K+ hosts and 4.5K daily active users at Yandex.

Explore how mathematical principles can predict and enhance software system scalability, uncovering the hidden math behind efficient engineering practices.

Explore Kubernetes' environmental impact, comparing its efficiency benefits to adoption costs. Learn when K8s becomes eco-friendly and how to minimize energy usage from individual to enterprise scale.

Discover how automation can revolutionize cell biology experiments, increasing efficiency, reproducibility, and scalability while reducing manual labor and enhancing traceability in laboratory workflows.

Discover key stability and performance optimization techniques for HBase systems, drawing from real-world implementations at Xiaomi's large-scale infrastructure.

Discover proven patterns for scaling game backends efficiently, from handling millions of player profiles to surviving outages while optimizing costs and maintaining data security with MongoDB.

Master proven strategies and best practices for successfully deploying and managing OpenStack on Kubernetes at scale, addressing key challenges in reliability, performance, and scalability.

Discover how XiaoHongShu implements Kafka cloud-native architecture, exploring real-world practices, data storage solutions, and messaging engine optimization in large-scale deployments.

Explore the hidden infrastructure, sustainability, and cost implications of implementing generative AI, with practical solutions for optimizing resources and reducing environmental impact.

Explore the evolution of clustered Samba architecture, examining alternatives to ctdb database and evaluating FoundationDB's potential for enhanced cloud scalability and performance.

Dive into real-world S3 API compatibility challenges, exploring common incompatibilities, implementation hurdles, and practical solutions for developing robust object storage systems that align with industry standards.

Learn to build a cloud-powered karaoke machine using Twilio in this live coding demonstration, exploring infrastructure-as-a-service benefits and practical application.

Explore Akka's unified runtime for scalable, fault-tolerant systems using Actors and STM. Learn to solve complex scalability issues and implement a high-performance compute grid.