Using Apache Ignite to boost the development of Jira Cloud apps

Abstract

Building a scalable, multi-tenant backend for a Java-based, ML-driven Jira Cloud application imposes many requirements on the underlying technology stack. It is not uncommon to fulfill the requirements by combining pieces of technology—such as SQL and NoSQL databases, ORM tools, message brokers, load balancers, caching layers, ML pipelines, and web servers. In this talk, Peter shares his Apache Ignite experience. He will show how one can minimize the number of blocks in a complex, scalable backend for an ML-based, automated issue-management system (Alliedium), as you stay within the Java ecosystem and the microservice paradigm. We show you how to integrate Apache Ignite with Atlassian Connect Spring Boot, and we discuss Apache Ignite features such as SQL and NoSQL queries, thin and thick clients, caching, distributed messaging and events, distributed computations, database-schema change tracking, and Kubernetes deployment.

Date
Mar 2, 2021
Location
Virtual Event
Peter Gagarinov
Peter Gagarinov
CTO | PhD | Head of Development, Leadership in AI

With over two decades of immersive experience in the IT sphere, particularly in AI/ML, DevOps, and FinTech, I am thrilled at the prospect of channeling my accumulated expertise and passion into innovative endeavors.

As CTO at Potential Energy LLC, I lead the creation and launch of a cutting-edge, cloud-based SaaS platform, richly embedded with AI and ML capabilities. This venture didn’t just reinforce my technical prowess in AI/ML; it significantly bolstered my leadership skills, enabling me to guide my teams toward the fruition of ambitious, technologically advanced objectives.

In my role as Head of DevOps and Backend Development at All of Us Financial, I was instrumental in integrating the latest technologies into our backend systems, significantly enhancing our financial platforms’ efficiency and reliability. My strategic focus on these technological advancements played a pivotal role in positioning the company as a valuable acquisition by PayPal.

My subsequent role at PayPal as Head of DevOps/Cloud Architect allowed me to leverage my previous experiences, integrating modern technologies into much larger systems. This position not only broadened my technical knowledge base but also enriched my understanding of applying cloud and ML technologies to FinTech industry, fostering innovation and adding value on a worldwide scale.

In my professional journey, which includes numerous successful projects at Allied Testing LLC, I has had a comprehensive exposure to AI/ML technologies. From hands-on development to strategic oversight, these experiences have sharpened my ability to lead teams towards the conceptualization and subsequent execution of impactful AI/ML solutions.

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