SynapseaDeploying means a sleepless Friday night
Manual procedures, environments that differ, rollbacks that are impossible.
Cloud & DevOps
How do you make your releases boring — in the good sense?
By automating them end to end: containers, pipelines, reproducible deployments, monitoring. We industrialize your environments on AWS or with your current host, without locking you into a platform, and we measure what matters: deployment time, incidents, performance.
What we take care of
AWS architecture and implementation
Docker containerization, Kubernetes orchestration
CI/CD pipelines (GitLab, GitHub Actions), deployment automation (Ansible)
Observability and monitoring, hardening and securing environments
Performance and cost optimization
Situations
Sound familiar?
Nobody knows why it's slow
No metrics, no traces, users complaining and servers scaled up blindly.
The cloud costs more than planned
Oversized resources, forgotten services, a bill that climbs while traffic doesn't.
Method
How we work
01
Assessment
Infrastructure, procedures, recent incidents, costs.
02
Target
Architecture, containerization, environments, deployment and rollback strategy.
03
Pipelines
Build, tests, static analysis, security, deployment; infrastructure as code.
04
Observability
Logs, metrics, traces, useful alerts — and only those.
05
Handover
Runbooks, training, review after the first deployments.
Track record
What we have already done in this area
Reproducible deployments on a national system
CI/CD, Ansible deployment procedures, strengthened security checks and 25 vulnerabilities fixed as part of a complete modernization.
A Kubernetes infrastructure and GitLab CI delivered with the application
Mobile and API architecture deployed on Kubernetes with GitLab continuous integration, ready to be operated by the client's team.
Frequently asked questions
What clients ask before we start
Do we have to move to AWS?
No. We industrialize where you are; AWS is an option when elasticity or managed services justify it.
Do we need Kubernetes?
For most SMBs, no. Docker and a solid pipeline are enough. We recommend Kubernetes when several services and several teams call for it.
What does an AWS certification change?
It guarantees structured knowledge of the services and best practices; experience on your systems does the rest.
Do you handle on-call?
We set up monitoring and runbooks; on-call stays with your teams or your managed service provider, whom we support.
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Services that often go together
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Learn moreA deployment that scares you? Tell us about the last one.
We reply within 2 business days with a first read of what can be automated first.