Wojtek Gawroński
Developer Advocate at Unleash (getunleash.io)
Warsaw, Poland
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Wojtek is a software engineer and architect with 15+ years in IT, ex-Amazon, 14x AWS-certified, and co-founder of a cloud-native consultancy that advised CTOs and CIOs across Europe and the US. He has delivered 100+ talks and workshops since 2014. FeatureOps brought him to Unleash: reliable software that solves real user problems, released safely and under control. Now he helps large enterprises adopt an AI-native SDLC while keeping quality and stability high, so they build the right software in the right way, without losing speed or confidence.
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Topics
Deploy is a commit. Release is a decision. But who owns the latter?
GitOps made deployment a solved problem: declare the desired state, let the reconciliation loop converge, and read the source control log to know what changed and who approved it. "Runtime mutation is an anti-pattern" is a well-known approach, but even so, the majority of incident reviews still include the sentence "wait, who and why turned that on?" The accountability layer based on GitOps alone can answer what-deployed-like questions, but it is silent on what was activated, for whom, and why.
This talk draws the clean line between the deployment layer and the release layer, takes the purist's objection head-on, and surfaces the org-chart problem hiding underneath - that most likely nobody owns the release decision.
Category: Infrastructure / Platform Engineering
Level: 300 (advanced)
Audience: Infrastructure / DevOps / SysOps / Platform Engineers; Architects / Technical Team Leads / Product Managers
Reversibility as a Service: The Property Your Platform Needs
Mature cloud native platforms provide shared capabilities so teams don't have to reinvent them: CI runners, observability pipelines, and secret management. But one property - instantly, safely, and accountably undoing a change - is rarely provided as a service. Teams build their own escape routes - badly, in parallel.
This talk argues that by applying FeatureOps deliberate practice, reversibility will be the single property that unifies progressive delivery, surgical rollback, experimentation, and chaos engineering, and shows what it means to deliver it as platform infrastructure. You'll leave with a concrete reversal-cost ladder for your own stack - and a reason to put one capability on the roadmap.
Category: Cross-cutting (architecture / leadership)
Level: 300 (advanced)
Audience: Architects / Technical Team Leads / Product Managers; Infrastructure / DevOps / SysOps / Platform Engineers; CTO / VP of Engineering / Engineering Managers
Microchaos: Chaos Engineering for Teams That Aren't Netflix
Chaos engineering sounds like something only hyperscalers with armies of SREs can do safely. Infrastructure-layer tools kill servers, VMs, pods, and inject faults - then you learn about uncovered failure modes and how to improve and operate better when failures actually happen. However, the infrastructure-level approach looks daunting for smaller teams. It is also context-blind - you can't scope the blast to 1% of internal test users.
This talk introduces you to the idea of controlled microchaos: runtime-controlled fault injection via feature flags that's targeted, instant, reversible, and SLO-safe. It's the on-ramp that lets a handful of people build resilience and confidence without betting production workloads. You'll leave with a concrete first experiment you can run next week - and the properties that make it survivable.
Category: Infrastructure / Platform Engineering
Level: 200 (intermediate)
Audience: Developers; Architects / Technical Team Leads / Product Managers; Infrastructure / DevOps / SysOps / Platform Engineers
Decouple Decision from Execution: Runtime Control for AI Agents
An autonomous agent's loop is a firehose of intentions: it decides it wants to call a tool, API, write somewhere - hundreds of sub-steps a minute. For that, you have to nail the solution to 2 hard questions: is this agent allowed to do that, and should this capability be live now at this stage for those users? Then, if not, can you pull it back in seconds when an agent does something surprising? That's a release-and-reversibility problem, and it's exactly what FeatureOps is for. This talk walks you through FeatureOps deliberate practice, powered by Unleash, that enables reversibility-as-a-service in your Strands Agents deployed on Amazon Bedrock AgentCore with Policy and Gateway.
Category: Agentic AI
Level: 300 (advanced)
Audience: Developers; Architects / Technical Team Leads / Product Managers
DevOps Won't Save You at Runtime: Enter FeatureOps
Your pipeline is fast. Your observability is mature. Your incident playbooks are tight. And your platform still has a blind spot - in the layer after deployment. This talk hands you a diagnostic for every control decision your platform makes: code, infrastructure, or runtime - and a single question that reveals the gap: when the decision is wrong, how fast can we undo it? Using real 2025/2026 postmortems and the latest DORA report findings, it argues that runtime control belongs on your platform roadmap as a shared capability, not a per-team scramble - especially in the AI-powered era. You'll leave knowing exactly where your runtime-layer gap lies and how to address it.
Category: cross-cutting (software architecture / operations / development)
Level: 200 (intermediate)
Audience: Infrastructure / DevOps / SysOps / Platform Engineers; CTO / VP of Engineering / Engineering Managers
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