Architecture
proves itself under load.

Some consultants deliver slide decks. I deliver commits. Cloud architecture, AI engineering, and platform transformation — for teams who know that production is the only test that counts.

Principles
15+
Years Enterprise Experience
40+
Projects Completed
3
Cloud Providers

What I
solve for you

From the first whiteboard session to production deploy. No vendor lock-in, no one-size-fits-all playbook — I start with an honest look at what actually is, not what I want to sell.

Cloud Architecture

Multi-cloud architectures on AWS, GCP, and Azure. Highly available, scalable infrastructure — Well-Architected compliant and ready for real load, Day-2 operations included.

Cloud Migration

Structured migration of on-premise and legacy systems to the cloud. Lift & shift to cloud-native transformation — with clear migration paths, minimal downtime, and maximum carry-over.

Scaling & Performance

High-traffic systems and distributed architectures that work under real load. Bottleneck analysis, load profiling, capacity planning.

Site Reliability Engineering

Observability architectures, incident response processes, SLO/SLI definitions, and error budget management for enterprise-grade operations.

DevOps & CI/CD Pipelines

From mono-repos to distributed services — build systems, test automation, and release pipelines that make teams more productive instead of slowing them down.

Infrastructure as Code

Terraform for reproducible, versionable infrastructure. Enterprise-wide unified modules, policies, and compliance-as-code. GitOps workflows with Flux CD.

Platform Engineering & DX

Internal developer platforms (IDPs), self-service infrastructure, and golden-path templates. Reducing cognitive load for development teams.

FinOps & Cloud Cost Optimization

Systematic analysis and optimization of cloud spending. Commitment strategies, rightsizing, tagging policies, and continuous cost monitoring.

Team & Delivery Management

Scrum coaching, dev team orchestration, and process analysis through to automation. Structured methodologies for distributed teams — from backlog to deployment cadence.

Pragmatism
over theory

I'm not a consultant who delivers PowerPoints and disappears. I'm the person still in the terminal at 3am because the system needs to be highly available by morning — and who makes sure that situation never happens again.

For more than 15 years I have built and operated systems that must work under real load — not just in the demo. My clients are companies that want to scale, need to modernize legacy infrastructure, or want to understand how to meaningfully integrate AI into their processes.

My approach: I start with an honest technical picture of reality. No cargo-cult architectures, no over-engineering traps. What I recommend, I have run in production myself and know its weaknesses firsthand.

Years Enterprise Experience
Complex systems at DAX companies, scale-ups, and international enterprise structures
Completed Projects
From single migrations to multi-year transformation programs
Cloud Platforms
AWS, Google Cloud, and Azure — certified and running in enterprise production
Remote-first since 2015
Distributed teams, async communication, clear processes — it works

Results,
not slides.

Project / 01
AWS ECSFargateTerraformBitbucket PipelinesDockerBlue-Green

E-Commerce Platform Cloud Migration

Incremental migration of a grown PHP monolith into a containerized, highly available, and scalable microservices architecture on AWS ECS Fargate. Zero downtime through blue-green deployments and feature flags. Terraform for the entire infrastructure, Bitbucket Pipelines for fully automated CI/CD workflows.

50% cost reduction99.99% uptimeDaily production deployments
Project / 02
n8nAnthropicPythonRabbitMQAWSTerraform

AI Process Automation for Mid-Market Company

Design and implementation of an AI automation platform using n8n as orchestration layer and Anthropic Claude as the cognitive core. Automation of document processing, email routing, and internal approval workflows. Integration with existing systems via REST APIs and RabbitMQ. Running on AWS, fully as Infrastructure as Code.

70% reduction in manual process stepsROI in under 4 months12 workflows automated
Project / 03
TerraformAWSAWS CDKGitHub ActionsPythonMulti-Staging

Enterprise Terraform Framework on AWS

Design and implementation of a company-wide Terraform framework on AWS with reusable modules for 14 development teams. Multi-staging system with separate environments for Dev, Staging, and Production. Dedicated CI/CD pipelines for Terraform runs with automatic plan validation and controlled apply process.

Infrastructure provisioning from 3 weeks to < 2 hours14 teams migrated to unified modulesZero drift in Production
Project / 04
OpenSearchElasticsearchCloudWatchOpsGenieAWSPythonAI

Observability Platform & AI-Powered Incident Management

Built an enterprise-wide observability platform based on OpenSearch and Elasticsearch for centralized log management and search. AWS CloudWatch as native monitoring layer for infrastructure metrics and alerts. OpsGenie as alerting and on-call platform with rule-based routing. AI-powered incident management for automatic alarm correlation, root cause analysis, and runbook generation — MTTR significantly reduced.

MTTR reduced by 65%Incidents detected before customer reports80% of alerts automatically correlated

Technologies & Tools

Cloud & Infra
AWSGoogle Cloud PlatformMicrosoft AzureDockerApacheNginx
IaC & GitOps
TerraformAWS CDKAnsible
CI/CD & Tools
GitHub ActionsGitLab CIAtlassianPlaywright
Observability
PrometheusGrafanaDatadog
AI & Automation
OpenAI / GPT-4AnthropicGeminin8n
Languages
PythonPHPBash / ShellTypeScript
Data & Messaging
MySQLRedisRabbitMQ
Security
HashiCorp VaultCoding Compliance

No pitch.
A conversation.

You talk directly with me — not a sales team. No template, no standard proposal. Just an honest conversation about your project.

info@kniesel-labs.de
  • Confidential & agenda-free
  • Free 30-min intro call
  • Direct access to the expert — no middleman
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