AWS / DevOps / Platform engineering

Cloud infrastructure that ships, scales, and stays up.

We help engineering teams design, automate, and operate production-grade AWS platforms. From landing zones to CI/CD optimization and observability to AI-assisted engineering for Dev + Ops.

Trusted by teams shipping on AWS

From early-stage startups to enterprises with platform teams at scale, engineering leaders bring us in to make their cloud faster, safer, and cheaper to run.

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Ship faster with confidence

A delivery workflow built for AWS

Turn manual, error-prone deploys into a repeatable, automated pipeline. Every change is tested, reviewed, and shipped the same way, so your team moves quickly without breaking production. All put into metrics such as deployment frequency, lead time, and mean time to recovery so you can measure the impact of your work.

Infrastructure as Code.
Reproducible environments with AWS CDK and Terraform. Reviewed, versioned, and deployed through CI like any other code.
Automated delivery.
Zero-touch pipelines build, test, and ship every commit, with progressive rollouts and one-click rollbacks.
Observability built in.
Metrics, logs, and traces built-in from day one so you catch regressions before your customers do.
Architecture dashboard screenshot

Platform engineering

Everything your platform needs

Multi-Account by default

Run close to your users with automated failover and infrastructure replicated across AWS Accounts.

AWS multi-account organization structure with Prod, Test, and Dev OUs

Cost-optimized

Right-sized compute, savings plans, and spend alerts baked into the platform from day one.

AWS Cost Optimization Hub dashboard

Secure by design

Least-privilege IAM, encrypted state, and guardrails enforced automatically in CI.

AWS Security Hub dashboard

Automated pipelines

Build, test, and deploy every commit with safe, observable, progressive rollouts.

pipeline.ts
deploy.yml

new Pipeline(stack, "prod")

.stage(build)

.stage(test)

.stage(deploy);

Engineers reviewing cloud architecture

Track record

Outcomes that hold up in production

Measured results from real engagements - faster releases, lower bills, and platforms that stay healthy under load.

Production AWS workloads shipped
25+
Typical deployment frequency
10x / day
Uptime maintained across clients
99.999%
Average cloud cost reduced
23%

Testimonials

Teams that trusted us with production

"Manuel set up our AWS Landing Zone very effectively at a fraction of the time needed vs. what other consultants proposed. His in-depth knowhow of the underlying technologies of cloud services and his great communication skills will make every tech transition smooth, in any organization."

Martin Hirschvogel
@martinhirschvogel

"Manuel is without a doubt one of the most exceptional engineers I have ever come across. I am also especially touched by his conscientious way of studying and applying his learnings in what he does, be it in engineering or in his life. He is optimistic and always ready to share his knowledge and offer help. Manuel has an outstanding yearning to identify and automate everything. [...]"

Ajith Chandran
@ajithchandran

"Manuel is an exceptional individual, working with him was inspirational and truly a pleasure! [...] He is a great business man and communicator, highly skilled in identifying what the customer needs as well as delivering it with the highest customer satisfaction.And on top of all that he is a wonderful teacher, sparring partner and mentor who likes giving guidance and nudges you into the right direction.In conclusion, I would not hestiate to work with him again at any time!"

Aleksa Perovic
@aleksaperovic

"I had the privilege of working alongside Manuel Vogel at kreuzwerker for six months, and it was an invaluable experience. Manuel is an exceptional professional whose guidance and mentorship have significantly contributed to my professional growth. [...] He is a true professional, and I highly recommend working with him to benefit from his extensive knowledge and experience."

Elizabeth Adegbaju
@elizabethadegbaju

"I officially started working as a freelance software and cloud engineer on October 1! Until the end of the year, I [...] already got my first project. So I can get off to a relaxed start and get used to the organizational changes (invoicing, taxes, etc.). I'm still working on my own website and further AWS certifications are also in the pipeline. Thank you again for the conversation we had. It gave me a lot of motivation and now I'm taking big steps forward!"

Leonard Husske
@leonardhusske

"[...] Manuel is not only a fantastic and precise software developer but also an inspiring person. He is extremely enthusiastic about his work, which is infectious. He is doing the extra mile to get not only a working, but the best fitting solution for the customer. Manuel understands complicated technical issues very quickly and can communicate them to others thanks to his very good communication and didactic skills. [...]"

Patrick Pussar
@patrickpussar

"Manuel played a major role in my professional development. The trust he placed in me enabled me to thrive in the consulting business and was a key factor in my success. His expertise is always highly precise, and he has a strong passion for learning and diving deep into technical challenges. He is also an excellent teacher and communicator who helps the business take the right steps at the right time. His well-structured approaches impress me every time and enable him to deliver outstanding results. Beyond his professional strengths, he brings a personal side that makes working with him truly enjoyable — and I would gladly work with him again at any time."

Timo Lechner
@timolechner

From the blog

Field notes on AWS, DevOps, and running platforms in production.

DevOps

Advanced GitLab CI features in v19

A tour from job grouping to dynamic child pipelines, and a look at the experimental functions feature, every example run on a real GitLab 19 instance.

Ready to ship faster on AWS?

Tell us what you are building. We will map the fastest safe path to production and the platform to keep it there.