Integrating the Three Dimensions of Quality into Platform Engineering
Explore a novel approach to continuous quality analysis in platform engineering, reducing cognitive load and enhancing developer experience for distributed systems.
How to Catch Issues Before They Hit Production - Traffic Replay Techniques
Discover techniques for identifying and resolving production issues using traffic replay, enhancing platform reliability and reducing outages in complex application services.
Deploying Psychological Safety for Platform Engineering Initiatives
Explore psychological safety in platform engineering initiatives. Learn to create an inclusive culture, embrace change, and implement effective internal change management procedures.
Adaptive Architectures: The Missing Link in Platform Engineering
Explore Riot Games' internal platform journey, uncovering hidden costs and the need for adaptive architectures in next-gen platform engineering.
Managing Secrets in Kubernetes Using GitOps Without Compromising Security
Explore secure secret management in Kubernetes using GitOps, focusing on External Secrets Operator implementation with HashiCorp Vault and lessons learned.
End-to-End Data Engineering on Azure Spark Cluster: Japan Visa Analysis
Set up Spark master-worker architecture in Docker on Azure, process and visualize Japan visa data using PySpark and Plotly. Clean, transform, and gain insights into visa trends through interactive data analysis.
Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches
Explore diverse data modelling approaches, from Dimensional to Data Vault, understanding their strengths and optimal use cases for effective data management and analytics.
Build AI Quickly, Collaboratively, and Confidently with Colab Using Vertex AI
Accelerate AI development using Vertex AI on Colab: enhance productivity, collaboration, and operate confidently at scale with robust security and compliance.
Petabyte-Scale Data Migrations to Google Cloud - Best Practices and Case Study
Migrate petabyte-scale data pipelines to Google Cloud, optimizing performance and reducing costs. Learn from Globo's experience in handling massive concurrent users for major events.
Accelerate PyTorch Workloads with PyTorch/XLA
Optimize PyTorch performance on Google Cloud AI Accelerators using XLA compiler. Learn about high-speed training and inference for LLaMA 2 and LLM fine-tuning with PyTorch Lightning.
Industry-Leading Availability and Performance for MySQL Workloads on Cloud SQL
Optimize MySQL workloads with Cloud SQL's enhanced availability, performance, and management capabilities for enterprise-grade applications.
Vertex AI Gemini: Model Selection and Prompt Design Principles and Strategies
Master Vertex AI Gemini model selection and prompt design. Learn to map capabilities to use cases, craft effective prompts, and implement robust engineering strategies.
Grounding for Gemini with Vertex AI Search and DIY RAG
Integrate Gemini, multimodal embeddings, and vector search to build a production-ready RAG system for enhanced generative AI grounding.
Deploying JavaScript Frameworks to Cloud Run
Deploy popular JavaScript frameworks to Google Cloud Run quickly and efficiently, demonstrating versatility and ease of use across the ecosystem.
Building a Web Application with Gemini on Google Cloud - Hands-on Workshop
Build a Python Flask app on Google Cloud using Gemini Cloud Assist for AI-powered code generation, understanding, and deployment on Serverless.
Building Generative AI Agents with Vertex AI Agent Builder and Flutter
Supercharge generative AI development with Vertex AI and Flutter. Integrate pre-built components, accelerate prototyping, and deploy production-grade AI agents in your apps seamlessly.
Tune and Deploy Gemini with Vertex AI and Ground with Cloud Databases
Master Gemini Pro's lifecycle: train on custom datasets, fine-tune, deploy scalable endpoints, evaluate models, and ground with Google Cloud databases for optimal AI performance.
Accelerate Building AI Applications with Cloud Run
Develop and deploy AI applications using Gemini API, Vertex AI, and Cloud Run. Learn auto-scaling, function calling, and video processing with Google's serverless platform.
Introduction to Duet AI in Google Cloud - Boosting Productivity and Expertise
Explore Duet AI's features for boosting cloud productivity, including code assistance, AI-backed operations, data exploration, and no-code app building.
WebAssembly (Wasm) in Kubernetes and Cloud Native Environments - Episode 16
Explore WebAssembly's impact on Kubernetes and Cloud Native with Divya Mohan, discussing its potential, browser support, and future implications.
Data Contracts for Long-Term Schema Management in Apache Kafka
Learn effective long-term schema management using data contracts. Explore advantages of Avro and Protobuf, schema references, compatibility types, topic versioning, and tools for data discoverability in Apache Kafka.