Conference Schedule

Our world is filled with complexities and unknowns, and when these collide with emerging technologies, the resulting risk seems insurmountable. We accept this increased risk as a cost of using the new technology, assuming that previous lessons learned don’t apply and that a blank slate is required to gain the most benefit. However, this never turns out to be true. Time and time again, we realize that much of what we already know is still relevant to these emerging technologies, regardless of how advanced or paradigm-shifting they are. This is good news for reducing the risk in innovation...Read more

In today's dynamic software development landscape, the pursuit of customer-centric, high-quality products is essential. This session delves into the art of aligning shift-left and shift-right testing strategies to ensure comprehensive and effective validation throughout the software development lifecycle. Explore real-world obstacles encountered by development team in traditional testing, prompting their transition to a modern approach. This transition led to significant improvements in software quality, cost efficiency, and led to a more dependable product delivery. Shuchi will discuss...Read more

Envision a DevOps realm infused with AI-driven superpowers, where a reliable AI companion revolutionizes the way we approach development. This companion doesn't just assist; it transforms the adventure of creating software that spanning the full spectrum of SDLC possibilities and pinpointing bugs in the most unexpected places. This is the essence of AI-augmented with human-in-the-loop, a paradigm where AI elevates engineers to maestros, orchestrating a symphony of enhanced augmented subject matter intelligence. By turbocharging the testing process to be quicker, smarter, and more efficient...Read more

The challenges of managing test environments in the fast-paced world of software development are numerous, ranging from complexity and resource limitations. Traditional on-premises solutions often offer limited scalability and cause bottlenecks that hinder continuous testing. This presentation tackles these challenges head-on by proposing a shift to cloud-based test environments underpinned by Infrastructure as Code. By embracing the cloud, organizations can dynamically create and tear down test environments as needed, freeing up valuable resources. Integration with CI/CD pipelines is...Read more

Most enterprises deal with large scale data. There are common challenges involved in managing data. One such challenge faced by distributed applications is effective processing, identifying transactional boundaries, and exchange of data across disparate systems, where governance, modeling, ownership, and consumption considerations are tenets. An event-driven data mesh provides capabilities to power both operational & analytical use cases, in both real time & batch. It provides the framework necessary for creating, communicating, and using data. In request-response architecture,...Read more

Testing has a bad reputation for being slow & costly. Speed, price, quality—pick two, right? How can we ensure that testing does not become the bottleneck? We first have admit that we have a problem, and then look at the root causes of why testing is slow and expensive. Among these are: lack of clear requirements and priorities, unclear testing processes and delivery procedures, misaligned goals between product, development, QA, & Ops teams, unreasonable expectations (such as 100% test coverage), inefficient (or unreliable) test automation, lack of ability to parallelize tests, and...Read more

During the session, Mala will address the challenge of enhancing operational efficiency and customer satisfaction through optimized CI/CD deployment processes, exemplified by DocuSign Inc.'s strategic collaboration with GitHub's Copilot ecosystem. She will delve into key focus areas such as automating deployments and establishing robust branching strategy and governance practices. For instance, she will explore how DocuSign leverages Infrastructure as Code to automate provisioning and configuration of infrastructure components, ensuring consistency across diverse deployment environments....Read more

Cloud-native architecture involves breaking down software components into smaller, loosely coupled applications known as microservices. While this approach can effectively address scalability issues in the cloud, it can also introduce greater complexity. Identifying the root cause of a microservice failure can be challenging if there is not enough data available. As such, a well-designed cloud-native system should incorporate logs, metrics, and traces to facilitate effective root cause analysis. OpenTelemetry offers simple and effective tools for implementing observability in a cloud-...Read more