Platform Engineering Consulting for Java Teams
One consistent path from commit to production for every Java service: pipelines, environments, observability and access. We review what you run today and prove the agreed approach on one reference service before it spreads.
Results from systems we have built and improved
- 80%
- lower infrastructure cost on hotel availability searchDatabase queries moved to an in-memory data gridHotel search case study
- 1,000,000,000
- financial transactions in under an hourFastPost accounting platform · developed for LegerityFastPost case study
- Nearly 10 years
- of FastPost built and evolved by our team under production loadLegerity accounting platform · from 2013FastPost case study
- For
- Java teams whose release process differs per service, or whose operating costs keep growing.
- Review
- Usually 2 to 4 weeks for the agreed scope, ending with a working reference service.
- Pricing
- A fixed fee covering the review and the agreed reference implementation for one service.
- Rollout
- Wider adoption across services and teams, scoped and priced once the reference works.
What the Stratoflow platform review covers
Six areas that decide how easily your teams build, release and run Java services.
Build and release
Reproducible builds, dependency checks and deployment controls that fit your review and release process.
Environments
Repeatable configuration for development, testing and production, with ownership and costs made explicit.
Infrastructure choices
Compare managed containers, virtual machines and Kubernetes against workload needs, operating skills and costs.
Observability
Logs, metrics and traces that help, including JVM memory, garbage collection and thread pools, with alerts someone can act on.
Identity and secrets
Agree how services authenticate, where credentials live and who can deploy or change infrastructure.
Reusable templates
A reference Java service with agreed pipeline, deployment and monitoring defaults, plus instructions for adopting them.
A design your team can test before wider adoption
The first engagement covers the review and one reference service, not a full rollout.
Review and reference implementation
Current-state findings, a target design, cost assumptions and rollout priorities. The agreed templates are validated on one Java service, and the results of that trial are written down.
Wider implementation
A separate proposal defines which services and teams adopt the platform, migration work, acceptance criteria and handover. Existing deployment constraints inform the rollout sequence.
Stratoflow was a great partner, challenging as well as supporting our customer projects for the best outcome. They have a great pool of talent within the business - all very capable technologists, as well as being business-savvy and suitable for consultancy engagements.
Chris GoodallManaging Consultant, CG Consultancy (UK) Limited
How a platform engagement runs
The work moves in phases, and each one is agreed with you before it starts.
Agree the scope
First, we review your teams, services and delivery problems, choose one reference service with you and agree the fee.
Review the current platform
Next, we inspect pipelines, environments, deployment setup, monitoring and recent incidents to find the most useful fixes.
Design and validate
Then we build the agreed path on the reference service and check build, deployment, monitoring and recovery with your team.
Plan adoption
Finally, we hand over templates and guidance and propose the next phase, with its scope and a ballpark, for you to approve.
Questions about platform engineering
Do we need Kubernetes?
That depends on the workload and the team responsible for operating it. We compare Kubernetes with managed container services and virtual machines, including delivery needs, resilience requirements, skills and costs.
Is implementation included?
The initial fixed-fee scope includes an agreed reference implementation, typically one Java service. Adopting it across other services and teams is priced separately after the review.
Can you improve our existing tools?
Yes. The starting point is the tools and operating model your teams already use. We recommend replacements only where they address an identified limitation and justify the migration effort.
Which cloud platforms do you work with?
AWS and Azure are common environments. We can assess Google Cloud or dedicated hosting where that is your starting point. The design records provider dependencies and portability tradeoffs.
Do your platform engineering services include running the platform?
Not by default. The engagement ends with templates, guidance and a rollout proposal for your team. If you want us to keep running the Java applications on it, managed support is a separate agreement.
Delivery platform guides from our engineers
- Java
22 Types of Software Testing Every Developer Should Know in 2026
Twenty-two types of software testing mapped by what they catch, the Java tools for each in 2026, the pyramid vs trophy debate, and six rules for testing AI-generated code.
- Modernization
Enterprise Cloud in 2026: Definition, Benefits, Examples and Best Practices
What an enterprise cloud is, four real examples with their lessons, and the practices that keep cost and risk in check.
- Modernization
AI-Assisted Application Modernization for Java: What Works, with the Evidence
What Google, Amazon, Slack and the controlled studies show about AI code migration for Java, what the main tools do, and the guardrails we use on every AI-assisted upgrade.
Make your delivery platform easier to use
Discuss the release process, operating workload and improvements your teams need.