This workshop explores the concept of moduliths, a hybrid architecture that combines the simplicity of monolithic systems with the flexibility and modularity of microservices. Moduliths enable the creation of a single deployable unit while maintaining a modular structure. The session will examine common pitfalls in modulith design and highlight best practices for building scalable and flexible systems.
In addition, the workshop will demonstrate how to use GitHub Copilot to streamline the design, development, and evolution of modern modular architectures. Copilot can accelerate development by providing intelligent code suggestions, generating unit and performance test cases.
Renjith Ramachandran is a digital professional with over 18 years of experience, currently serving as a Senior Solutions Architect at BJs Wholesale Club. His expertise spans Retail, Finance,Telecom and Healthcare, with a focus on cloud integrations, microservices, DevOps, and full-stack... Read More →
"Beyond Sidecars: Embracing a Sidecarless Future with Istio Ambient" ventures into the evolution of service mesh architecture, propelled by the advent of Istio Ambient. This session aims to dissect the architectural shift towards a sidecarless model, emphasizing the operational efficiencies and performance optimizations it introduces to cloud-native ecosystems.
Diving deep into the mechanics of Istio Ambient, we'll explore its core components, the elimination of sidecar proxies, and the direct impact on service-to-service communication. Key highlights include:
- A comparative analysis of sidecar-based vs. sidecarless models in service mesh, focusing on performance metrics and deployment complexities. - Technical walkthroughs of Istio Ambient integration patterns, showcasing seamless adoption in microservices infrastructures. - Best practices for migrating to a sidecarless architecture, supported by case studies of early adopters.
Designed for engineers and architects, this talk aims to equip you with the knowledge to leverage Istio Ambient effectively, ensuring you're well-prepared for the next wave of service mesh innovation.
Petr, Engineer on the Partner Team at Solo.io, comes from a background as a solution architect and developer, now focusing on Service Mesh technologies with public clouds.
Fernando Rocha, Diagrid, Customer Success Engineer
Starting a new project can be daunting. Choosing a technology for messaging, storage, workflows (and others) is a big commitment that takes time for developers. An ever increasing number of libraries, frameworks, cloud services and infrastructure lead to code sprawl, refactoring, lock-in, and security vulnerabilities, forcing developers to become experts of everything and ship code that’s hard to maintain. Switching between technologies is a risky, incredibly complex, and costly process. The flexibility is there, but it has a big price.
Meet Catalyst!
Powered by Dapr (Distributed Application Runtime), the 12th largest Cloud Native Computing Foundation project, Catalyst provides developers with APIs that remain consistent while the underlying infrastructure can be swapped out with little to no code changes. For teams using multiple programming languages or running in multiple clouds, Catalyst provides a single API for interacting with the underlying infrastructure, drastically reducing the amount of code and maintenance you’re on the hook for. Not only that, these APIs already embed best practices on security and reliability. If that's not amazing enough, Catalyst runs as-a-service, so there’s nothing to install or manage!
Join us to learn how Catalyst can add infrastructure flexibility, zero trust security, and fault tolerance to your distributed solutions with no extra development time!
Fernando is a Customer Success Engineer @ Diagrid.io specializing in distributed architectures on Dapr OSS.Fernando is also a founding member of the Cloud Native Vancouver Chapter. For the last 10 of his 15 years of experience in IT, Fernando has been helping teams modernize and innovate... Read More →
Observability is a critical aspect of MLOps, as it enables teams to gain insights into the behavior and performance of their ML models along with the underlying infrastructure in production. Kubernetes provides a platform for orchestrating ML workloads. Cloud providers such as AWS, offer a lot of tools to enable observability of MLOps. In this session, we will provide guidance for observing machine learning infrastructure and workloads running on Kubernetes in AWS.
Steven David is a Principal Solutions Architect at Amazon Web Services (AWS). He has over 20 years of experience designing solutions for large enterprises. Through these engagements he has developed deep expertise in application development technologies and methodologies. In addition... Read More →
