Salman Iqbal
Salman is a Technical Lead at Office for National Statistics.
As a Full Stack Developer and has had experience in developing software in aerospace and finance. Salman focuses on building high quality web platforms and improving the software development life cycle. Recently he has started looking at how machine learning can help in improving the software development process. He also focuses his time on using container technology and how Kubernetes can be used to manage containers.
He co-founded Cloud Native Wales, an initiative to bring together a community that would share ideas on how to use cloud native technologies effectively.
Additionally, he is part of learnk8s.io where he focuses on providing Kubernetes training.
Follow Salman on his personal Twitter @soulmaniqbal and also @cloudnativewal.
Talks I've Given
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2
Workshop: Show me the Kubernetes
Featuring Lewis Denham-Parry and Salman Iqbal
You’ve heard about it, read the book and listened to the talk, but have you actually used Kubernetes? In this workshop, you will be getting hands-on with Kubernetes to learn the fundamentals of what you use.
architecture kubernetes microservices -
2
Tutorial: Use Kubernetes to Deploy .NET Applications
Featuring Salman Iqbal and Lewis Denham-Parry
With the explosive momentum of Docker, Kubernetes has become the de-facto standard for orchestrating and managing containerised apps in production.
.net azure .net-services containerised-apps kubernetes docker -
Lightning Talk: Can a Robot Code My Website?
Featuring Salman Iqbal
Designing a user interface for a website or an application can be cumbersome and time consuming. In this talk, Salman will present a deep learning algorithm that creates the code for your website or an app based on the provided mockup.
deep-learning code lightning-talk -
2
Workshop: Scaling Machine Learning in the Cloud with Kubernetes
Featuring Salman Iqbal and Daniele Polencic
Building any production-ready machine learning system is complex. You have to manage services and tools that often don’t play nice with each other. And when they do you have to spend time manually tweaking deployments and hand rolling solutions before a single model can be tested. Worse, these...
infiniteconf infrastructure scaling machine-learning kubeflow kubernetes