Disha Babla
AWS Technology Account Manager
Bengaluru, India
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Disha Babla, AWS Technical Account Manager at Amazon Web Services is a Technologist and Passionate Learner. She is a 12xAWS Certified Professional holding a decade of experience in the IT Training Industry. In her previous organizations, she has worked in customer-centric roles for Security, Infrastructure and Architecting areas. She has been a Senior Technical Trainer and delivers training on a variety of technologies on AWS Cloud, globally. She believes in the vision of the 'Never Stop Learning' strategy and helps customers to become the torchbearers of this vision.
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AI-Driven Observability for Kubernetes Storage Systems with AWS
As Kubernetes adoption continues to grow, managing and optimizing storage systems in dynamic, containerized environments has become increasingly complex. This paper explores how AI-driven observability can revolutionize the monitoring and management of Kubernetes storage systems on AWS. We introduce a scalable framework that leverages machine learning models and analytics to detect anomalies, predict performance bottlenecks, and optimize storage resources in real-time. By integrating AWS-native services such as Amazon SageMaker, Amazon CloudWatch, and AWS OpenTelemetry with Kubernetes observability tools like Prometheus and Grafana, this solution empowers operators to achieve deeper insights and proactive control over their storage infrastructure.
Rapidly Building serverless GenAI with Low-Code No-Code
Turning an idea into a real product feels daunting. In this session, we'll guide using AWS Application Composer for a Generative AI app and AWS Step Functions to orchestrate AWS services like Lambda and Bedrock, to bring your concept to life
Unleashing the Power of Open Source in Cloud-Native Development
Unlock the power of open source to dominate cloud-native development. Revolutionize your application delivery and ascend to new heights.
Dive into the cloud-native revolution, where open source reigns supreme. Discover the key components redefining modern architecture - from containers to orchestration. Unlock the open source toolkit shaping the future of cloud-native.
Explore cutting-edge solutions for CI/CD, observability, networking, and access management. Leverage this ecosystem to build, deploy, and manage your infrastructure with unparalleled efficiency and resilience.
Overcome the challenges of integrating open source into enterprise architectures. Address governance, compliance, and security. Learn strategies for managing dependencies and ensuring long-term maintainability. Be inspired by real-world success stories.
Ignite your passion for open source contribution. Discover practical ways to engage with the community and cement your status as a cloud-native innovator.
Whether you're a seasoned architect or a developer seeking new potential, this session will provide the insights and inspiration to achieve cloud-native supremacy.
Model Watermarking on Kubernetes: Protecting AI Intellectual Property at Scale
Ever wondered how to protect your AI models from being copied without permission? As companies invest millions in AI, safeguarding intellectual property is critical. Join us to explore scalable watermarking techniques for AI models using Kubernetes.
Learn how to embed subtle, detectable digital fingerprints into machine learning models—proving ownership without affecting performance. Discover how Kubernetes can automate these processes within your ML pipeline, addressing key challenges like:
• Designing robust watermarking pipelines for end-to-end model protection.
• Leveraging Kubernetes custom controllers and (Custom Resource Definition) CRDs for automation.
• Monitoring and debugging watermarked models in production.
• Balancing protection strength with inference speed.
• Compliance, auditing, and recovery strategies.
Ideal for platform engineers, ML teams, and architects, this session offers practical solutions for secure, scalable AI model protection.
Securing Kubernetes Clusters with AIOps - Lessons from the Capital One Breach
The massive 2019 Capital One data breach exposed sensitive information on 100+ million customers due to a misconfigured Kubernetes firewall. This talk will detail how AIOps techniques like anomaly detection, log analysis, and metrics correlation could have prevented the breach by automatically detecting and locking down the vulnerable Kubernetes pod.
I will provide a technical analysis of the Capital One attack chain along with code examples demonstrating how common AIOps platforms like Dynatrace, DataDog, and Prometheus could have autonomously detected the unusual cluster activity in real-time. Attendees will learn Kubernetes best practices for network policies, pod security contexts, and runtime threats that can be enforced automatically via policy as code when AIOps signals a potential intrusion.
Serverless Streaming with Apache Kafka on AWS
Kafka is increasingly being used by customers for streaming as well as building event driven applications. Kafka can be run in several different ways - Confluent has several Kafka offerings and there is our very own MSK. Join this session to learn more about Confluent and MSK and how AWS lambda can integrate with both to build serverless streaming/event-driven applications.
Containers on AWS
Container management tools can be broken down into three categories: registry, orchestration, and compute. AWS offers services that give you a secure place to store and manage your container images, orchestration that manages when and where your containers run, and flexible compute engines to power your containers. AWS can help manage your containers and their deployments for you, so you don't have to worry about the underlying infrastructure. No matter what you're building, AWS makes it easy and efficient to build with containers. This will be an expert talk on the best practices of deployment in DevSecOps environment for orchestration, architecture and security of containers.
Infrastructure Security of Kubernetes in AWS
Cloud security at AWS is the highest priority. At AWS Cloud, you benefit from a data center and network architecture that is built to meet the requirements of the most security-sensitive organizations. Deep Dive on Securing your k8s cluster in the cloud and utilization of managed cloud services for the security of the cloud.
Security in the cloud includes:
- The security configuration of the data plane, including the configuration of the security groups that allow traffic to pass from the Amazon EKS control plane into the customer VPC.
- The configuration of the nodes and the containers themselves
- The node's operating system (including updates and security patches)
- Setting up and managing network controls, such as firewall rules
- The sensitivity of your data, your company's requirements, and applicable laws and regulations
- Safeguarding from different attacks.
Disha Babla
AWS Technology Account Manager
Bengaluru, India
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