Ashish Bhatt
Lead DevOps Consultant @Amazon | CKA | Platform Engineering
Bengaluru, India
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Experienced Technical Architect with 17+ years specialising in DevOps, Cloud Architecture, and Platform Engineering. I have successfully driven digital transformation across diverse industries, including Retail, Airline, Healthcare, Automotive, Banking and Entertainment. My expertise spans Containerisation, CI/CD, IaC, Observability and Monitoring and Agile methodologies with focus on designing scalable, efficient, and resilient cloud solutions.
I bring deep proficiency in end-to-end Software Delivery Lifecycle (SDLC) toolchain and processes, including GitHub, GitLab, Docker, Kubernetes, Jenkins, Terraform, Prometheus, Grafana with good hands-on experience with AWS and Salesforce cloud. Additionally, I have good hands-on experience with scripting languages like Shell, Ruby, and Python. I excel in mobile application architecture and build tools, managing complex requirements to deliver high-quality, robust solutions aligned with business goals.
As a technical leader, I oversee architectural strategy, guiding development teams to ensure quality and alignment with industry best practices. Passionate about advancing Platform Engineering, I am dedicated to optimising operations and enabling organisational growth with scalable and self-service IDP (Internal Developer Platform) designs using frameworks like Backstage, ArgoCD, CNOE and Harmonix on AWS.
Area of Expertise
Topics
From Complexity to Velocity: Revolutionising MLOps and AIOps Adoption with Backstage powered IDP
In the rapidly evolving landscape of artificial intelligence and machine learning, organisations are increasingly challenged by the complexity of AI/ML infrastructure deployment and management. This presentation unveils a transformative approach that bridges the critical gap between innovative AI technologies and organisational operational capabilities through a cutting-edge, Backstage-powered Internal Developer Platform.
From Complexity to Velocity: Revolutionising MLOps and AIOps Adoption with Backstage powered IDP
In the rapidly evolving landscape of artificial intelligence and machine learning, organisations are increasingly challenged by the complexity of AI/ML infrastructure deployment and management. This presentation unveils a transformative approach that bridges the critical gap between innovative AI technologies and organisational operational capabilities through a cutting-edge Backstage powered Internal Developer Platform.
From Complexity to Velocity: Revolutionising MLOps and AIOps Adoption with Backstage powered IDP
In the rapidly evolving landscape of artificial intelligence and machine learning, organisations are increasingly challenged by the complexity of AI/ML infrastructure deployment and management. This presentation unveils a transformative approach that bridges the critical gap between innovative AI technologies and organisational operational capabilities through a cutting-edge Backstage powered Internal Developer Platform.
Benefits:
The Backstage-powered Internal Developer Platform represents a paradigm shift in AI/ML infrastructure adoption, transforming technological complexity into strategic advantage. By democratising access to advanced AI technologies, the platform enables organisations to break down traditional barriers, empowering cross-functional teams to leverage AI capabilities with unprecedented ease. It dramatically reduces time-to-market for AI/ML initiatives, minimises operational overhead, and provides a standardised approach to infrastructure provisioning that supports rapid experimentation and innovation. The solution embeds robust governance mechanisms, ensuring secure and consistent infrastructure deployment while simultaneously enhancing developer productivity through intuitive self-service capabilities.
At its core, the platform bridges the gap between cutting-edge AI technologies and practical implementation, offering a replicable model for AI infrastructure modernisation. It transforms the traditional challenges of MLOps and AIOps into opportunities for organisational growth, allowing technology leaders to create a more agile, accessible, and innovative technological ecosystem. By centralising resource management, implementing sophisticated access controls, and simplifying complex infrastructure provisioning, the platform emerges as a strategic tool that not only accelerates technological adoption but also fosters a culture of continuous innovation and technological exploration.
From Complexity to Velocity: Revolutionising MLOps and AIOps Adoption with Backstage powered IDP
In the rapidly evolving landscape of artificial intelligence and machine learning, organisations are increasingly challenged by the complexity of AI/ML infrastructure deployment and management. This presentation unveils a transformative approach that bridges the critical gap between innovative AI technologies and organisational operational capabilities through a cutting-edge Backstage powered Internal Developer Platform.
The Backstage powered Internal Developer Platform represents a paradigm shift in AI/ML infrastructure adoption, transforming technological complexity into strategic advantage. By democratising access to advanced AI technologies, the platform enables organisations to break down traditional barriers, empowering cross-functional teams to leverage AI capabilities with unprecedented ease. It dramatically reduces time-to-market for AI/ML initiatives, minimises operational overhead, and provides a standardised approach to infrastructure provisioning that supports rapid experimentation and innovation. The solution embeds robust governance mechanisms, ensuring secure and consistent infrastructure deployment while simultaneously enhancing developer productivity through intuitive self-service capabilities.
Empowering MLOps and AIOps adoption with Self-Service Backstage power Internal Developer Platform
In the rapidly evolving landscape of artificial intelligence and machine learning, organisations are increasingly challenged by the complexity of AI/ML infrastructure deployment and management. This presentation unveils a transformative approach that bridges the critical gap between innovative AI technologies and organisational operational capabilities through a cutting-edge Backstage powered Internal Developer Platform.
Benefits to the ecosystem:
The Backstage-powered Internal Developer Platform represents a paradigm shift in AI/ML infrastructure adoption, transforming technological complexity into strategic advantage. By democratising access to advanced AI technologies, the platform enables organisations to break down traditional barriers, empowering cross-functional teams to leverage AI capabilities with unprecedented ease. It dramatically reduces time-to-market for AI/ML initiatives, minimises operational overhead, and provides a standardised approach to infrastructure provisioning that supports rapid experimentation and innovation. The solution embeds robust governance mechanisms, ensuring secure and consistent infrastructure deployment while simultaneously enhancing developer productivity through intuitive self-service capabilities.
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