Welcome to Cloud Collective! We host events that enable you to network, learn, and share anything and everything about Cloud-Native technologies and architectures.
Cloud Collective is a meetup for technologists interested in the Cloud Native approach towards developing and deploying web & mobile applications, streaming analytics, ETL pipelines, microservices, containers, functions, and applying Infrastructure as Code principles for automating infrastructure on AWS, Azure, and Google Cloud.
This meetup organizes in-person events and occasionally online tech talks (Collective Talks).
We are open to new meetup ideas from the members. The goal is to be consistent and open to knowledge sharing.
We also cross-promote other Cloud Native events happening in the Chicagoland area for complete coverage and sharing.
Most of the time for Data scientists, Machine Learning Models are relatively easier to build but they are very hard to roll out. Data scientists usually understand their tools and build using their local systems or cluster, but they don’t know how to roll them out to the production. Along with this, scalability in real time on production environments is challenging.
And then on top of it, every cloud provider has its own way of handling MLOPs. AWS has SageMaker, Google has AI Platform, and Azure has ML Studio.
What options are available for something that can run across cloud providers? Ever thought of using machine learning in Kubernetes clusters? With Kubeflow (https://www.kubeflow.org), not only it is possible but also easier to make ML workflows production ready. With recent huge demand and traction of DevOps and GitOps, many organizations are struggling to apply those practices into ML workloads. That's exact use case we want to talk about in this meeting.
Speaker: Junaid Khan: Senior Software Engineer at Egen Junaid has an extensive experience in software architectural designing and its implementation. His past experience covers different industries exposure ranging from public, sports, hospitality, retail and fulfillment sectors. His previous projects involve club trainer’s activity tracking and booking mechanism, revamping from monolithic to micro-services, Distributed systems, ML optimization using Spark and user interaction applications. His current project includes working with backend micro-services based applications as well as user facing android applications for fulfillment centers.
Zoom Webinar link will be shared a day prior to the event.