Mastering Generative AI: Harnessing AWS GenAI for Your Solutions
Explore AWS GenAI solutions, from foundation models to Amazon Bedrock and Claude 3. Learn about customization, knowledge bases, agents, and CodeWhisperer for innovative AI implementation.
The Good, the Bad, and the Native - Cloud Native Development with GraalVM
Explore cloud native concepts, GraalVM, and native image building. Learn scalability, cost reduction, and performance optimization techniques for microservices frameworks in the JVM ecosystem.
Event-Driven Architectures: Orchestrating Cloud Workflows - Conf42 CN 2024
Explore event-driven architectures for cloud workflows, covering core concepts, patterns, and best practices. Learn when to use choreography and orchestration, and see a practical demo.
Scalability and Cloud Native Architecture on AWS
Explore AWS cloud-native architecture, scalability types, and best practices for efficient, auto-scaling, and serverless applications. Compare database options for optimal performance.
Building Event-Driven Systems: Principles, Challenges, and Best Practices
Explore event-driven architecture principles, benefits, and challenges. Learn about governance, event design, asynchronous thinking, and practical implementation strategies for building robust systems.
Build and Orchestrate Serverless Generative AI Applications
Learn to build and orchestrate serverless generative AI applications using AWS services like Amazon Bedrock and Step Functions. Explore integration techniques, error handling, and human feedback loops in AI workflows.
The Future of Cloud Computing with WebAssembly
Explore WebAssembly's potential to revolutionize cloud computing, from its bytecode format to its impact on multitenancy and Kubernetes integration.
Operational Excellence for LLMs Using Amazon Bedrock - Conf42 LLMs 2024
Explore operational excellence for LLMs using Amazon Bedrock. Learn design principles, LLMOps, model lifecycle, customization, and architectural patterns for effective implementation and evaluation.
LLMs and AWS: Observability Maturity from Foundation to AIOps
Explore LLM observability maturity in AWS, from foundational concepts to advanced AIOps, covering metrics, performance, security, and best practices for effective implementation.
Vectoring Into The Future: AWS Empowered RAG Systems for LLMs
Explore AWS-powered RAG systems for LLMs, covering vector embeddings, databases, and services. Learn to leverage Amazon's AI capabilities for enhanced language model performance.
Go-ing Serverless with WebAssembly - Conf42 Golang 2024
Explore serverless WebAssembly with Go, covering Spin framework, TinyGo, and deployment to Fermyon Cloud and SpinKube. Learn to build and run efficient serverless applications.
Building Secure Multi-Cloud Images with Multi-Boot Mode
Explore secure multi-cloud image building with multi-boot mode. Learn CI/CD, infrastructure-as-code, and automation techniques for creating flexible, reliable cloud environments across platforms.
DevOps to MLOps: Scaling ML Models to 2 Million+ Requests per Day
Explore scaling ML models to handle millions of daily requests, covering MLOps fundamentals, cloud-agnostic architecture, and real-world production challenges in eKYC SaaS APIs.
Mastering the Maze: Navigating Complexity in Distributed Systems
Explore distributed systems complexities, challenges, and strategies. Learn about architecture, consistency, availability, and SRE principles for navigating complex systems effectively.
Empower Developer Experience - Enhancing Cloud Native Development
Explore cloud-native development challenges, platform engineering solutions, and developer portals. Learn about Red Hat Developer Hub and security best practices for empowering developer experiences.
Generative AI Solution with AWS Serverless and Bedrock
Explore a secure, scalable AWS serverless solution using Bedrock for generative AI tasks. Learn architecture, deployment, cost estimation, and advanced features for efficient platform engineering.
How to Build Cloud-Native Platforms with Kubernetes
Explore cloud-native platform development with Kubernetes, covering key concepts, best practices, and API-driven design. Gain insights into developer experience, testing, and platform team responsibilities.
Many Layers of Availability in Platform Engineering
Explore strategies for building highly available applications, from microservices and load balancing to global disaster recovery, enhancing system resilience and reliability.
Building a Serverless GenAI Platform
Explore building a serverless GenAI platform, from architecture to adoption strategies, and learn its impact on various industries.
Cloud Computing Security with Multi-Layered Protection
Explore multi-layered cloud security strategies, from threat detection to proactive measures. Learn about emerging threats, real-world case studies, and future trends in cloud computing protection.
AWS Observability as Code - Leveraging Datadog
Explore AWS observability using Datadog, covering challenges, fundamentals, implementation as code, and advanced techniques for effective platform engineering and monitoring.