Deployments are manual or unstable
Automate and secure delivery so you no longer lose time or depend on a few people for every production release.
Expertise · DevOps & operations
DevOps: Reliable Releases and a Well-Run Production
DevOps brings development and operations together to release regularly and understand how the application behaves in production. At Etixio, it is part of what our teams deliver: deployment pipelines, reproducible environments, monitoring, and operation of the AI services we put into production.
Understanding the technology
DevOps & operations in your project.
DevOps brings building software and running it closer together. It is a set of practices and shared responsibilities, supported by automation, testing and service monitoring. Installing a deployment tool is only part of the work needed to release regularly and understand incidents.
In practice, DevOps covers the entire delivery pipeline: automated builds, tests and deployments (CI/CD), infrastructure described as code, service availability, performance and security, and visibility into production. The goal is to move from handcrafted releases to industrialized delivery that reduces risk and the cost of incidents.
The right time
When should you bring in DevOps expertise?
Production lacks visibility
Understand, anticipate and resolve “unexplained” incidents with logs, metrics and useful alerts.
The service needs to scale
Work on the performance, availability and resilience of environments before the load forces the issue.
A cloud or Kubernetes migration is coming
Build a controlled, reproducible infrastructure rather than moving existing problems elsewhere.
Security and compliance requirements are growing
Track access, deployments and dependencies, manage secrets and patches.
Infrastructure costs are drifting
Rationalize usage, with a FinOps approach if needed.
Our scope of work
The work we take on.
Delivery
Automate tests, builds and deployments; blue/green, canary or progressive strategies, with planned rollback.
Environments
Document configurations and make installations reproducible, from development to production.
Containers & orchestration
Containerize applications and orchestrate them, with autoscaling where it is useful.
Observability
Connect logs, metrics and alerts to the incidents that are genuinely worth handling; runbooks and post-mortems.
Security
Secrets management, hardening, patching, vulnerability scanning of images and dependencies directly in the CI/CD pipeline.
Our DevOps expertise
The DevOps tools we master.
Cloud
AWS, Microsoft Azure, GCP or hybrid environments.
CI/CD
GitLab CI, GitHub Actions, Jenkins or Azure DevOps.
Infrastructure as Code
Terraform, CloudFormation or Ansible to provision and standardize environments.
Containers & orchestration
Docker, Kubernetes and Helm.
Observability
Prometheus and Grafana, ELK or EFK, Datadog, New Relic or OpenTelemetry.
Security & systems
IAM, Vault or KMS, vulnerability scans, hardening, Linux, networking, DNS and TLS certificates.
DevOps and AI
Deploying and running AI services in production.
An AI service is run like any other production service, with a few additional concerns: API keys and secrets for model providers, quotas and rate limits, variable response times, usage and cost tracking, logging of exchanges with respect for data, and evaluations rerun every time the model or prompt changes.
Our teams build these elements into the delivery pipeline and monitoring. This is often what separates an AI POC from a service that can run in production. See our AI solutions for businesses.
In the field
From technology to real-world use.
When a production release depends on a few people, we make configurations, access and manual steps explicit. We set up a delivery pipeline and post-deployment checks. Incidents are used to improve alerts, procedures and recovery scenarios rather than to preserve informal knowledge.
The choices that matter
The choices to examine before building.
The level of automation must match release frequency and the service’s constraints. We distinguish useful alerts from signals that cannot be acted on. On-call, support and intervention responsibilities must be defined; having monitoring in place does not in itself constitute a round-the-clock support service.
Our approach
Quick wins first, then a lasting foundation.
We start with actions that quickly stabilize production — genuinely useful alerts, clean pipelines, manual steps removed — then standardize with infrastructure as code and reproducible environments. Documentation and handover to your teams are part of the work.
Audit and scoping
Assessment of the delivery pipeline and production, with a prioritized action plan balancing quick wins and longer-term work. See also our technical audit.
Building the platform
Setting up a complete pipeline — CI/CD, infrastructure as code, observability — on a defined scope.
Within a dedicated team
DevOps is part of the dedicated team that builds and evolves your product, under the responsibility of a tech lead.
From work to deliverables
Delivery your team can take over.
The scope of work specifies the components to build or take over and the acceptance criteria. We provide what is needed to understand the changes, verify them and continue the work.
- Versioned configurations
- Documented delivery pipeline
- Monitoring and operating procedures
Frequently asked questions
DevOps: your questions.
What is DevOps used for in a project?
It industrializes the delivery pipeline by automating deployments, describing infrastructure as code and making production observable. Production releases become more frequent, more stable and safer.
When should you bring in DevOps expertise?
When deployments are manual or unstable, when production lacks visibility, or when scaling up, migrating to the cloud or Kubernetes, or facing stricter security and compliance requirements.
What is the difference between DevOps and a system administrator?
DevOps is not limited to operations. It covers the entire delivery pipeline — CI/CD, infrastructure as code, automation, observability — in close collaboration with development teams.
Can you work on existing environments?
Yes. We take over existing environments to stabilize them, reduce incidents and standardize the infrastructure, gradually and without starting from scratch.
What deliverables should you expect from a DevOps engagement?
Reliable, documented CI/CD pipelines, reproducible infrastructure described as code, clear monitoring (metrics, logs, alerts), as well as runbooks and incident procedures.
Does the monitoring you set up include 24/7 support?
No, not by default. On-call, support and intervention responsibilities are explicitly defined with you; monitoring alone does not constitute a round-the-clock support service.
Can you deploy and run AI services?
Yes. We integrate AI services into the delivery pipeline and monitoring — key and quota management, response time and cost tracking, logs, rerun evaluations — to take an AI POC into production and keep it running.
Let’s talk about your technical context.
Tell us about the application, the issue to address and the known constraints. We will review the dependencies and the initial scope of work with your team.