How to reduce developer cognitive load through platform engineering

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As cloud-native systems grow in complexity, developers are increasingly expected to manage far more than application logic—CI/CD pipelines, infrastructure provisioning, Kubernetes runtime settings, security controls, and cost considerations. This expanding scope creates cognitive overload, slows delivery, and increases the risk of inconsistency and misconfiguration across teams.

This session explores how platform engineering can be used to systematically reduce developer cognitive load while maintaining control, governance, and scalability. It examines architectural patterns that centralize delivery concerns behind well-defined abstractions, allowing developers to focus on building software while platforms handle consistency, security, and operational correctness.

In this webinar, we will cover:

- How to simplify the developer workflow by removing the need to manage CI/CD pipelines, infrastructure provisioning, and Kubernetes runtime details for every service.
- How to give developers fast, actionable feedback through early validation of security, configuration, and resource usage, reducing friction and rework.
- How to build platforms developers actually want to use, balancing abstraction and flexibility while maintaining consistency across teams and environments.

After a 30-minute talk there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance.
A webinar recording and related materials will be shared with all attendees after the event.

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Speaker:
Avinash Sabat - Principal Cloud DevOps Engineer @ Synechron | UBS

Avinash Sabat is a Principal Cloud DevOps Engineer with 13+ years of experience in the financial industry, specializing in building and optimizing secure, scalable cloud analytics and compliance platforms for banks. He architects and maintains critical infrastructure and CI/CD pipelines for market risk analytics using Kubernetes, Terraform, Helm, and automation, ensuring high availability and strong security. With a strong focus on FinOps and cloud cost optimization, he bridges engineering and finance to maximize cloud value while maintaining performance and agility. A certified CKA, CKAD, Azure Fundamentals, and AWS Solutions Architect, Avinash combines deep technical expertise with strategic leadership to drive innovation across cloud, compliance, and AI-driven DevOps practices.