
Learn how 2K Games built a centralized gaming data platform using Firestore, Cloud Storage, and GKE. Explore open-source contributions and new Firestore features for scalable game development.

Optimize data-intensive workloads with Cloud Storage. Learn from Flipkart's experience and explore Databricks integration for scalable, secure, and cost-effective data lakes.

Harness Flutter, Firebase, and Gemini to build dynamic apps. Learn Firestore, Storage, and AI coding with Gemini for intelligent application development.

Explore Azure infrastructure updates, including AKS workload identity, DDoS protection, and new features for storage, databases, and monitoring. Learn from John's experiences and stay current with cloud technologies.

Explore Azure infrastructure updates: VM backups, ACI Spot, App Gateway Private Link, AFD in Azure Gov, ALB ICMP IPv6 ping, AAD auth for Azure Files, Linux Kusto emulator, KQL geographic context, and more.

Automate Git repository backups across platforms with Gickup, ensuring code security and preservation through effortless configuration and seamless operation.

Master Azure Storage and Blobs for .NET applications. Learn to upload data using Azure SDKs and optimize performance with Azure CDN. Enhance your cloud development skills.

Explore Piraeus, a flexible storage solution for Kubernetes, and learn to set up production-ready storage using Charmed Operators in this informative talk.

Explore JuiceFS CSI's innovative solutions for managing large-scale data in Kubernetes, addressing storage challenges in LLM pre-training with mount pod and sidecar modes for optimal performance.

Explore managed-commits in Delta Lake: a new protocol enabling multi-table transactions, reliable commit semantics, and enhanced data governance for cloud storage-based data lakes.

Discover Oracle's next-gen Exadata Exascale cloud architecture, designed to meet AI, analytics, and mission-critical workload needs. Learn about its intelligent features, performance, and benefits for enterprises facing data challenges.

Explore Kubernetes data architectures for AI/ML, storage best practices, and data availability. Learn to retool your skills for the new paradigm of data on Kubernetes.

Optimize AI workloads and enterprise applications with purpose-built infrastructure. Learn about supercomputing innovations, TPUs, GPUs, and AI-powered assistance for efficient operations.

Explore optimized storage solutions for AI, Kubernetes, and VMs. Gain insights into performance-enhancing features, cost optimization, and future-ready storage planning.

Optimize AI/ML data pipelines at scale by selecting the right storage solutions for data preparation, training, inference, and serving. Integrate with Compute Engine, GKE, or Vertex workflows.

Explore data immutability and retention locking strategies to protect against cyber threats, covering regulatory compliance, WORM implementation, security models, and practical solutions for robust data protection.

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 Azure data storage options, including relational, NoSQL, and Azure Storage. Learn pros, cons, and tradeoffs while converting a real app to leverage cloud storage patterns.

Discover how Amazon EBS provides scalable, high-performance block storage for EC2, exploring cloud-optimized technologies for storage infrastructure migration, modernization, and optimization.

Discover IBM Storage Scale's capabilities for high-performance data management, featuring policy-based lifecycle control, multi-protocol connectivity, and flexible deployment across core, edge, and cloud environments.

Master advanced security analytics and threat hunting using Cribl Search's powerful capabilities for cloud data investigation, statistical analysis, and data federation - all without vendor-specific storage requirements.