This talk is dedicated to the practical experience of transitioning from the classic Istio architecture with sidecar containers to a new model - Istio Ambient Mesh. We will tell how scaling a microservice infrastructure on Kubernetes led to increased resource costs, complicated CI/CD, and delays in launching services. The search for solutions led us to implement Ambient Mesh, an architecture without sidecar containers that greatly simplifies mesh integration and reduces infrastructure costs. The presentation will detail the technical aspects of the migration: how we prepared for the transition, what challenges we faced during the implementation process, and how we managed to overcome them in cooperation with the Istio community. We will share the results, analytics, real before/after metrics, and give practical advice to teams planning to implement Ambient Mesh in production.

Ready to break down the walls between developers and DevOps and lighten your workload? In my quick talk, I want to share my experience on how we improved collaboration between teams and which parts of the work can – and should – be handed over to developers.

For the past three years, I have worked at LetsEnhance/Claid, an AI startup that enhances image quality and creates new backgrounds for customer products. While the infrastructure is always the same, it varies: large models, significant latency, and unreliable autoscaling. In this speech, I will discuss our perspective on AI infrastructure and our ideas for its improvement. The topic is for mid to senior-level engineers who are either already in AI or interested in understanding how it differs from traditional infrastructure.

In this presentation I will try to analyze the experience of using pgbouncer and other database proxies at prom.ua. What profit does it bring in organizational sense, what new flexibility it gives to the infrastructure and everyday maintenance and scaling, which additional enchancements we managed to implement and test, what worked and what did not.

In this presentation I will try to analyze the experience of using pgbouncer and other database proxies at prom.ua. What profit does it bring in organizational sense, what new flexibility it gives to the infrastructure and everyday maintenance and scaling, which additional enchancements we managed to implement and test, what worked and what did not.

During the lecture, Mykyta will share the story of Solidgate's journey in building a high-performing and reliable fintech company, striving for 99.999% uptime on AWS’s SaaS platform. He'll uncover numerous caveats in doing things right without full system access, addressing product requirements, and staying up to date.

Kubernetes Controllers and Operators are a trending topic in conferences, interviews, and production today. I will share the story of the evolution of our Promotion (Release) system, from simple Kubernetes API REST calls to Informers and Controllers, based on my own experience. This story is particularly interesting because it serves as a great case for personal growth for you as well as for your DevOps/SRE team. It touches on Kubernetes architecture details, Networking, GitOps, IaC, Caching, development patterns, and Golang data structures. Even if you have no development experience (as is the case for most of our team), I will share how a Cursor AI assistant became yet another — though virtual — engineer on our team. Bonus: 10 years of Kubernetes & trends KubeCon24 North America.

There are many obstacles and pitfalls on the path towards operational zen. Many routes could lead to dead ends, and many detours could end up being loops. In this semi-comedy talk, I share some examples of how processes fail for engineering teams that I observed through my career, using two pillars of the Internet culture - memes and numbered lists.

There are many opinions regarding the deployment of databases in Kubernetes. However, the strong views of random individuals may not assist you in making the right decision for your specific situation. In this talk, you will receive a comprehensive list of problems and questions to address before moving your production database into Kubernetes. With that list, you will gain a better understanding of the associated risks, prepare for potential failures, and make an informed decision.