Repeatable environments and deployments
Put environment setup and release steps into versioned code. Make configuration differences visible, keep secrets out of the repository and document how to return to a known working version.
Services
Ways to work with us
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Cloud consulting services help your team deploy, observe and operate the software it depends on. dplyz works on infrastructure and delivery pipelines, with a focus on the failures that interrupt releases or wake people up.
Discuss a project
When each deployment needs a manual fix or one person’s memory, delivery slows down. We follow a change from commit to production and find where it gets stuck. The work might be a repeatable environment, a safer migration or alerts that explain what failed.
Scope of work
Put environment setup and release steps into versioned code. Make configuration differences visible, keep secrets out of the repository and document how to return to a known working version.
Connect logs, metrics and traces to the problems operators need to solve. Exercise rollback and recovery steps so the team has more than an alert when something breaks.
Map spend to workloads and owners. Check idle resources, scaling behavior and the cost of model calls before choosing an optimization. Keep reliability requirements visible alongside the bill.
A working example
An illustrative delivery pipeline for an existing application.
Run the tests and checks needed for this change, including database compatibility.
Deploy a versioned artifact into an environment that reflects production settings.
Roll out with health checks and a defined stop condition.
Compare error rates and latency, then retain the release record and rollback path.
Built to hand over
We work with the platform you run. A migration needs a concrete reason, a cutover plan and an owner; moving providers is not a prerequisite for improving delivery.
No. We can work beside your engineers or provide an embedded team for a defined area. Ownership, support hours and escalation arrangements belong in the engagement scope.
Yes. That includes model access, request queues, evaluation jobs and monitoring. We review latency and cost limits along with the application’s existing reliability requirements.
Tell us what you want to change, what you run today and who will use the result.