Mohammed Fazalullah Qudrath
Principal Customer Engineer, CNTXT
Dubai, United Arab Emirates
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Mohammed Fazalullah is a Principal Customer Engineer at CNTXT, where he helps enterprises in the Kingdom accelerate cloud adoption, modernize applications, and unlock the value of AI. With 21+ years of experience spanning startups and enterprises, he brings a builder’s mindset to solving business and technical challenges at scale.
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My pods are not responding! - A Kubernetes troubleshooting journey
Debugging production applications is comparable to a whodunnit story where you are the central character trying to figure out a crime from a crime scene. This becomes especially true with distributed services that are running in the cloud across multiple containers. Without proper tools for debugging and observability, it's impossible to see what's going on in a large-scale production deployment!
Join this demo-driven session to learn how to diagnose and troubleshoot production issues with out-of-the-box Kubernetes tools, in addition to other tools in the ecosystem.
From concept to scale in Generative AI applications using Spring AI
With Generative AI quickly becoming an ask from the business to leverage, it can appear intimidating to navigate the complexities of tooling and how to smarten your Java applications.
This session walks you through the capabilities of Spring AI in streamlining the design and implementation process, covering fundamental principles of LLMs, as well as the integration and expansion of Generative AI powered applications. With the help of live code demos, you will see how Spring AI enables smooth integrations with local LLMs and Amazon Bedrock in the AWS cloud and how you can build Java AI applications on Spring in style.
Building in the Cloud for Resilience and Scale
If you want to build scalable and resilient applications and services in the cloud, you need a variety of skills, ranging from distributed systems theory to an in-depth understanding of your cloud provider's offerings.
In this session, we will examine architectures and solutions for achieving the performance and availability goals of your product using the cloud.
4 ways to deploy your Python application on AWS
You’ve built a fine Python application and now you’re ready to share it with the world. But what’s the best way to deploy your app on AWS? This talk will demonstrate popular techniques for deploying Python applications. We'll start with a simple Flask application and expose it to the world as we see what are the different AWS services that can be used to achieve this. We will also look at pros and cons to help you figure out which approach is right for your app.
Operational visibility in distributed systems
In this session, we will cover approaches on how to gain operational visibility into production systems, and troubleshoot failures with software instrumentation. We will cover the approaches to instrumentation, some best practices, and some services you can use in AWS to achieve operational visibility in your systems.
The following topics will be covered as the session progresses:
- Why instrumentation is important
- What to measure
- Log best practices
- High throughput services logging
- Resources to learn more from
Mohammed Fazalullah Qudrath
Principal Customer Engineer, CNTXT
Dubai, United Arab Emirates
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