Make Java releases easier to deliver and operate
Give teams a consistent path from code to production. Review pipelines, environments and observability, then prove the agreed approach with a scoped reference implementation.
Results from systems we have built and improved
We have built and evolved Java systems with demanding throughput and operating requirements. That experience informs the release, monitoring and infrastructure decisions in your platform review.
- 80%
- lower infrastructure cost after hotel availability search moved from database queries to an in-memory data grid.Hotel metasearch case study
- 1B / hour
- financial transactions processed by FastPost, the cloud accounting platform developed for Legerity.FastPost case study
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.
- For
- Teams with inconsistent release processes or costly operations.
- Review
- Usually 2 to 4 weeks for the agreed scope.
- Pricing
- Fixed fee, including the agreed reference implementation.
- Rollout
- Wider adoption scoped and priced separately.
A consistent way to build, deploy and operate
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
Useful logs, metrics and traces, including JVM memory, garbage collection and thread pools. Define alerts around actionable service behaviour.
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 initial engagement covers the agreed review and reference implementation. It does not assume that every service can move through the same rollout.
Review and reference implementation
Receive current-state findings, target design, cost assumptions and rollout priorities. Validate the agreed templates with one scoped Java service and document what the trial establishes.
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.
Build around the people who will run it
Agree the scope
Review teams, services, delivery problems and operational responsibilities. Select the reference service and agree the fee.
Review the current platform
Inspect pipelines, environments, deployment configuration, monitoring and relevant incidents. Identify the most useful improvements.
Design and validate
Compare suitable operating models and implement the agreed reference path. Check build, deployment, observability and recovery with your team.
Plan adoption
Hand over templates and guidance, document limitations and propose the next rollout phase with scope and a ballpark estimate.
Planning the engagement
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.
Related services
Make your delivery platform easier to use
Discuss the release process, operating workload and improvements your teams need.