Talks

I'll describe how we created the DevOps Cookbook.

Hardening is not just something you deploy once: you need to continuously verify that it is applied across all hosts and has not drifted over time. In this talk, I will explain how we fully automated this process, from building the source of truth and dynamic inventory to running Ansible checks and visualizing the results with Prometheus and Grafana.

SRE practices and what is CRE: how to ensure the availability and fault tolerance of services (and not just infrastructure) in the cloud and on-premises.

A team workshop where you solve a real-time combat incident using board game rules.

I will explain how the Middleware Service Hub transforms disparate data into a connected technology context, evolves from a component catalog to an organization's Digital Twin, and becomes the foundation for Architecture as Code, API governance, and AI Harness.

I'll tell you how we migrated Kafka from VM to Kubernetes.

Every other incoming resume lies (17 years of Kubernetes for a thing that is 12 years old), and the model that catches it either bankrupts you on bills, lies itself, or makes a hiring call you cannot later explain to lawyers. I show how to fix this with a three-tier model cascade with the expensive one last, three guard layers, and real before-and-after numbers — on a live collection of caught fabrications.

The main idea of the talk is simple: a good migration does not require heroics, but becomes a predictable and boring engineering task.

Neural networks and LLMs are often perceived as impenetrable "magic," but in reality, their perimeter is less secure than that of classic IT systems.

I'll show you how to build a cascade deployment at FluxCD and not to spread the erroneous change to all environments at once.

How our fault-tolerant K8s clusters are structured in the infrastructure, and how we have automated their management through CAPI on a scale of hundreds of servers.

I will show you how to make running Spark tasks convenient for DE/ML engineers and maintain cluster management.

How to build a scalable system of dynamic test environments and avoid the problems associated with shared test benches.

A talk on building a large "hard" infrastructure and how we at K2 Cloud have gone from complete chaos to a standardized yet flexible system that allows us to quickly adapt to the dynamic pace of cloud platform development.

The talk will cover onboarding, learning mechanisms, knowledge transfer, technologies used, and working conditions. You will learn about the perks and benefits you pay for.

Let's compare the capabilities of ArgoCD and Flux, kubectl, Helm, and Nelm/werf in organizing deployments, monitoring readiness, and managing resource lifecycles.

How to find the causes of complex problems in GPU clusters when they occur at the junction of different layers of the system and server hardware, and why the real causes of such problems are often not where you would expect to find them.

Let's explore popular open-source tools that can enhance Kubernetes security at runtime.