DevOps & platform engineering
Every team already has pipelines. What an organisation rarely has is one path that is faster to follow than to work around, where the security gate cannot be removed the evening before a release, and where what runs matches what the code says.
A foundation that is imposed gets worked around. One that saves time gets adopted.
Fifteen different pipelines in one organisation is not a tooling problem, it is what happens when the shared path costs more to follow than to bypass. And a gate that a team can switch off on its own is a report, not a gate.
Our work therefore goes into the default path: what a team gets in one command, and what it no longer has to build itself. Infrastructure described in code and compared with reality every night. Checks that block at commit, and a documented way out for the cases the foundation does not yet cover, because the exceptions are the list of what to build next.
What we do
Four workstreams, from the default path to what production sends back.
Build the default path
What a team gets in one command: a prepared repository, a full pipeline, environments, observability already wired and secrets managed. Minutes instead of two days of tickets, which is what makes it adopted rather than imposed.
an imposed foundation gets bypassed, invisibly
- Repository, pipeline and environments in one command
- A documented way out, rather than a forbidden one
- The exceptions become the roadmap of the foundation
Describe the infrastructure, and keep it true
Every resource versioned in code, reusable internal modules, and a nightly comparison between the declared state and the real one. Drift raises a ticket rather than being silently corrected, because a silent fix hides the manual change that caused it.
code that no longer matches production is documentation that lies
- Modules pinned by version, upgrades decided
- Owning team required on every resource
- Drift alerted on, not quietly repaired
Augment the chain, with ASDD
Agentic Spec Driven Development, our framework: specifications as the source of truth, agents specialised by role across the cycle, and a control plane over what they are allowed to do. The generation is augmented; the gates are not.
the assistant proposes, the gate still decides
- Specifications versioned, code regenerated from them
- Agents by role across spec, code, test and ops
- Governance over what the agents may touch
Deploy progressively, and listen
Ten per cent, then fifty, then everything, with error rate and latency watched at each step and a rollback triggered by a threshold rather than by a judgement call made at three in the morning.
nobody arbitrates well at three in the morning
- Progressive rollout with automatic rollback
- Every deployment traceable to its change
- Exceptions logged, and reviewed weekly
What you get
One project runs through the four deliverables below: the delivery foundation of an organisation with several teams. Each step states what is actually handed over, in the order it is handed over.
A default path, and a documented way out
What a team gets in one command, what the foundation deliberately does not decide, and the right to leave the path provided it is written down. Forbidding the exit only makes it invisible.
socle-livraison
- 01-chemin-pave.yaml
- 02-infrastructure.tf
- 03-pipeline.yaml
- 04-mesure.yaml
Infrastructure described in code
Pinned modules, an owning team required on every resource, multi-zone by default, and drift detection that alerts rather than repairs, so the manual change that caused it is not hidden.
socle-livraison
- 01-chemin-pave.yaml
- 02-infrastructure.tf
- 03-pipeline.yaml
- 04-mesure.yaml
A pipeline whose gates cannot be removed
Blocking checks in the default path, progressive rollout with a rollback triggered by a threshold, and exceptions taken by the on-call person rather than by the author, then reviewed weekly.
A measurement of the foundation, one quarter in
Forty-three services out of forty-seven on the path, twelve minutes to stand one up. The median deployment frequency hides two regimes, and the two teams left behind are blocked by an environment nobody can recreate.
How we deliver
Discover
depending on scope, sector and the level of compliance required
- Audit of use cases and pain points
- Value / feasibility matrix
- Executable specification (ASDD)
MVP
depending on system complexity and integrations
- An agent in a real environment
- Generated tests, measured coverage
- Go / no-go before industrialisation
Scale
depending on the number of agents and connected systems
- Multi-agent orchestration on a shared foundation
- CI/CD and MLOps integration
- Team upskilling
Run
service commitment defined with you
- LLMOps observability
- FinOps optimisation of AI costs
- Continuous compliance audit
Where delivery chains actually stand
Chains rebuilt while production ran
A delivery chain rebuilt while production kept running
230 industrialised pipelines · time-to-market ÷3
A marketing data platform that had to move to Azure without a blocking incident, on flows its customers depend on daily, and where a migration weekend that goes wrong is visible from the outside.
Two hundred and thirty pipelines covering build, test and deploy across the whole lifecycle, a blue-green migration executed without a blocking incident, and continuous cost optimisation on the analytics side.
Infrastructure entirely described in code, and kept that way
100% Terraform IaC · zero drift over 12 months
An infrastructure where each new service took days to stand up, and where what ran in production had quietly stopped matching what the code said it should be.
Every resource described and versioned in Terraform, twelve reusable internal modules in a private registry, a multi-zone cluster for availability, and drift detection that has caught none in twelve months because nothing changes outside the code.
Insights & Perspectives
AI-First DevOps industrialisation: the 2026 barometer
Four maturity levels, measured KPIs, sector feedback and three anti-patterns, consolidated by more than 180 Adservio consultants.
The evolution of platform engineering
Seven years from DevOps to platform engineering: from manual deployment to the internal platform run as a product, with its service levels.
Service orchestration and automation platforms: the guide
Workflows, provisioning and data pipelines: how orchestration platforms coordinate what used to be scripted team by team.
Build a path that is faster to follow than to bypass
A default path in one command, infrastructure compared with reality every night, gates that cannot be removed alone, and exceptions written down rather than hidden.
Frequently asked questions
Because following it costs more than bypassing it. A team adopts a default path when it delivers a repository, a pipeline, environments and observability in minutes instead of two days of tickets. If the foundation asks more than it gives, it becomes a counter, and a counter is the bottleneck it was meant to remove.
Yes, provided they write down what they do differently and why. Forbidding the exit produces invisible workarounds; documenting it produces the list of what the foundation does not yet cover. That list is the most useful roadmap a platform team can have.
Because a silent correction hides the manual change that caused it, and that change will happen again next month. Raising a ticket on the owning team makes the cause visible: an urgent fix nobody wrote back into the code, or a gap in the module. The correction is easy; knowing why is what matters.
Agentic Spec Driven Development, our framework for an augmented delivery chain: the specification is the source of truth, agents specialised by role work across spec, code, test and operations, and a control plane governs what they are allowed to touch. The generation is augmented; the gates that verify it are not.
A threshold does, not a person. Error rate and latency are watched at ten per cent, fifty and a hundred, and crossing the threshold triggers the return to the previous version. Confirmation comes afterwards. At three in the morning nobody arbitrates well, and that is precisely when the decision arrives.
It makes them matter more. The volume of change arriving has gone up, and GitClear measures refactored code falling to 3.8% of changed lines in 2026 against 21% in 2022. The chain has to absorb more, produced faster, so the checks that block have to be the ones nobody can switch off alone.
Framing takes 2 to 6 weeks depending on scope, sector and the level of compliance required, and produces the inventory of existing pipelines, the content of the default path and the gates that will block. A first team on the foundation, delivering to production through it, follows in 4 to 10 weeks.