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DevOps & Cloud Services
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DevOps & Cloud Services

Axon Active delivers DevOps services and cloud migration services as a dedicated team, a single embedded engineer, or fractional capacity — sized to your workload. Our engineers work inside your cloud accounts and repositories: CI/CD, Kubernetes, and IaC on AWS, Azure, GCP, or on-prem, AI-augmented under the Axon AI Operating Model

17+
Years in business
100%
Swiss owned
40+
Long-term clients
650+
Employees
80+
Dedicated teams
What we ship

DevOps & cloud engineering services

Five capability tracks across the cloud-native stack — from architecture and CI/CD to platform operations.

Cloud Architecture & Infrastructure-as-Code

Reference architectures for AWS, Azure, and GCP — landing zones, network design, and multi-account governance. We work alongside AWS managed services where they fit, and provide AWS cloud engineering services when the account needs engineers in it. Infrastructure-as-Code with Terraform, Pulumi, and Crossplane: codified, reviewable, reproducible. No snowflake configs, no console clicks.

AWS Control Tower, Azure Landing Zones, Terraform, Pulumi, Crossplane.

Cloud Architecture & Infrastructure-as-Code

CI/CD & Platform Engineering

End-to-end pipelines from commit to production with GitHub Actions, GitLab CI, ArgoCD, and Tekton. Internal developer platforms (Backstage) so teams ship without waiting on tickets; DevSecOps gates — SAST, SCA, container scanning, policy-as-code — baked into every deploy. Security gates run inside the same pipeline as the build.

GitHub Actions, GitLab CI, ArgoCD, Backstage, Snyk, SonarQube, Trivy, OPA.

CI/CD & Platform Engineering

Kubernetes & Container Orchestration

Our Kubernetes consulting services deliver production-grade clusters on EKS, AKS, GKE, or self-managed Kubernetes — Helm packaging, ArgoCD GitOps, service mesh (Istio, Linkerd), container security, and cluster cost management. Multi-tenancy and isolation patterns for regulated workloads where data separation is a compliance requirement.

Kubernetes, Helm, ArgoCD, Istio, Linkerd, Trivy, Falco.

Kubernetes & Container Orchestration

Azure DevSecOps & Multi-Cloud Security

For Azure-first clients, our Azure DevSecOps practice wires security into Azure Pipelines and Azure Policy — SAST, SCA, secrets scanning, and container scanning gated before every deploy. The same controls extend across AWS and GCP, so a multi-cloud estate runs under one security posture.

Azure Pipelines, Azure Policy, Defender for Cloud, Snyk, Trivy, OPA.

 

Azure DevSecOps & Multi-Cloud Security

SRE & Production Operations

Site Reliability Engineering practices — SLOs, error budgets, runbooks, incident response, on-call rotations — plus an observability stack. Production that stays up because the system is designed to fail gracefully and recover without 3am heroics.

Prometheus, Grafana, OpenTelemetry, Datadog, Jaeger, PagerDuty.

SRE & Production Operations
The move

Cloud migration services, planned and executed

Cloud migration services at Axon Active cover the full journey — assessment, landing-zone design, and execution across lift-and-shift, refactor, and repurchase paths. We plan the move, codify the target environment as Infrastructure-as-Code, and run the cutover with rollback ready at every step. Because the same engineers operate the platform afterward, our cloud migration services don’t end at go-live: they continue as the DevOps services that keep the workload running, observable, and audit-ready. For regulated industries, every cloud migration service we run is scoped around data residency and compliance posture from the first workshop.

Cloud migration consulting services

Our cloud migration consulting services help you decide before you move: which workloads to migrate first, which to refactor, and which to retire. The result is a costed, sequenced roadmap your finance team and your auditors can both sign off.

Cloud migration consulting services

Choosing among cloud migration service providers

Most cloud migration service providers either lift-and-shift everything and leave, or sell a managed tier you never see inside. The ones worth keeping operate what they migrate. That’s how we’re built: a dedicated engineering team inside your cloud environment, under your governance, accountable for the platform long after cutover.

Choosing among cloud migration service providers
The disciplines

Beyond DevOps: the full Ops stack

DevOps, DevSecOps, FinOps, DataOps, MLOps — five disciplines, one delivery engine. Each runs at production scale for Axon clients, available as a fractional service or as a dedicated team. All five ship as one set of DevOps services.

DevOps

DevOps combines software development (Dev) and IT operations (Ops) into a single continuous workflow. The goal: ship software faster, more reliably, with fewer handoffs between teams. Infrastructure as Code, CI/CD pipelines, and automated testing are the core practices.

 

Git, GitHub Actions, GitLab CI, Terraform, Pulumi, automated testing.

DevSecOps

DevSecOps extends DevOps by embedding security into every stage of the pipeline — not as a gate at the end, but as an automated check at every step. Security becomes everyone’s responsibility, running on the same clock as delivery.

Snyk, SonarQube, Trivy, OPA, secret scanning, SAST + SCA in CI.

FinOps

Engineering discipline applied to cloud spend. Cost visibility per team and per service, budgets and alerts wired into the delivery pipeline, rightsizing and commitment planning as routine practice.

Kubecost, Infracost, AWS Cost Explorer, Azure Cost Management, tagging policies, showback/chargeback.

DataOps

DevOps applied to data pipelines. Reliable, tested, observable data flows from ingestion to consumption. The same engineering discipline that makes software delivery predictable, applied to data — versioned, monitored, reproducible. Here we operate the pipelines; our data engineering services build them

dbt, Airflow, Dagster, Great Expectations, Soda, data contracts, Monte Carlo.

MLOps

DevOps applied to machine learning. Deploying, versioning, monitoring, and governing ML models in production. Bridges the gap between data science and production engineering — reproducible pipelines, model drift detection, governed deployments.

MLflow, Kubeflow, SageMaker, Weights & Biases, model registries, drift monitoring.

How we engineer

Our DevOps delivery standards

Four engineering standards behind our DevOps development services — applied to every cloud platform, every pipeline, every IaC commit. They’re what makes infrastructure auditable and operable.

Everything as code

IaC (Terraform / Pulumi), GitOps for deployments (ArgoCD / Flux), pipelines as code (GitHub Actions / GitLab CI YAML). Every environment can be rebuilt from the repository.

Four-eyes review on production changes

Every change to production infrastructure, pipeline config, IAM policy, or Kubernetes manifest goes through PR review by a second engineer. No exceptions for “small fixes” or “urgent hotfixes”.

Runbooks + postmortems for every incident

Every production incident generates two artifacts: a runbook for the next responder, and a blameless postmortem capturing root cause and corrective action.

Security in every pipeline

SAST, SCA, secrets scanning, and container scanning run on every pull request. A critical finding blocks the merge — the same rule on every repository.

Security by default

DevSecOps — security built into delivery

Threat modeling, supply chain security, zero trust, and automated vulnerability management run inside every stage of the pipeline — your existing DevOps loop stays intact, with security on the same clock. Findings surface at PR time, and the audit trail builds itself as you ship.

What’s inside a DevSecOps engagement:

  • Threat modeling — STRIDE and PASTA applied before architecture decisions; attack surface mapped before code is written.
  • Runtime testing (DAST & IAST) — OWASP ZAP, Burp Suite, and runtime agents alongside CI/CD; shift-left catches issues before merge, shift-right before they escalate.
  • Supply chain security — SBOM on every build, dependency risk management, build pipeline hardening: you know exactly what ships.
  • Container & Kubernetes hardening — image scanning, runtime security, network policies, pod security standards.
  • Zero trust & IAM — least privilege, no implicit trust: every service, every user, every request verified.
  • Vulnerability management — continuous scanning across infrastructure, containers, and dependencies; critical findings triaged before merge.
What's inside a DevSecOps engagement
AI in the pipeline

How AI accelerates DevOps & Cloud delivery

Ungoverned AI-generated code accumulates vulnerabilities faster than it ships features — governance is what turns AI speed into production speed. The Axon AI Operating Model extends your DevOps team with AI-assisted review, deployment validation, and incident analysis, running on the same clock as your CI/CD pipeline. Every use case below runs under it, with per-task autonomy levels from L1 Assisted to L3 Supervised — every task keeps a named human gate.

AI-assisted IaC review

Every Terraform/Pulumi PR reviewed by AI before the four-eyes human gate. Security misconfigurations, cost anomalies, and policy violations flagged pre-merge.

Platform engineer + Squad Leader approve before merge — no auto-apply to infrastructure.

Deployment validation

AI validates deployments against spec success criteria before production push. Acceptance tests generated from spec criteria run automatically.

Platform lead signs off release; rollback plan attached before production push.

Security scanning triage

Snyk, SonarQube, and Trivy findings triaged by AI before human review. Critical findings surfaced immediately; noise filtered.

Security engineer reviews critical findings; the Squad Leader approves remediation before merge.

AI-generated runbooks

Every incident generates a runbook draft from incident data and historical postmortems. The next responder opens a structured guide with the known failure modes already written down.

On-call edits + approves runbook before next handoff; reviewed in postmortem.

Observability anomaly detection

AI monitors Prometheus and Grafana for patterns beyond threshold-based alerts. Patterns that precede incidents surface before the SLO is breached.

On-call triages anomaly alerts; SRE team tunes thresholds + reviews patterns weekly.

AI governance auditing

Periodic audits of prompt logs, model versions, code provenance. Every AI-assisted change traceable: what the agent did, from what input, reviewed by whom.

Squad Leader + compliance review audit reports quarterly; findings drive policy updates.

Axon AI Operating Model

The delivery method behind every squad

The Axon AI Operating Model runs every engagement — production-grade tooling (Copilot, Claude Code, Cursor, custom Spec Agents), 3-layer governance, and 4 levels of autonomy (L1 Assisted → L4 Autonomous) with human checkpoints on every change.

How we apply AI in DevOps
Engagement models

DevOps as a service vs a dedicated DevOps team

Two variants of the same DevOps capability — the choice depends on workload. When the work is too small to justify a full team, DevOps as a service is the right call: you pay a headcount-equivalent retainer, with the wider Axon Active engineering organization guaranteeing availability behind it. When demand is continuous, the same capability runs as a dedicated DevOps team →.

DevOps as a Service
Dedicated DevOps Team
Workload
Variable or spiky — peaks and quiet periods, doesn't sustain a full team.
Continuous demand — sustained team needed daily for multi-month programs.
Capacity model
Axon in-house team rotates per capability need (vacation, niche expertise, escalation)
Dedicated team, no rotation
DevSecOps
Security engineering included — rotates security specialists per engagement need.
Dedicated security engineers embedded in the team full-time.
Commercial model
Monthly retainer based on agreed FTE
Monthly per-engineer

Most DevOps service providers either sell managed services (black-box, opaque) or staff augmentation (warm bodies, no accountability). Axon sits in between: a dedicated engineering team with full stack ownership, inside your cloud environment, under your governance.

The difference: our DevOps consulting services put engineers inside your accounts and repositories — cloud DevOps services you can see: every commit, every IaC change, every deployment. Engineers rotate per capability need — vacation, niche expertise, escalation — but the service never drops.

Built for regulated industries where auditability, data residency, and compliance posture are non-negotiable from day one.

Contact us →
Accelerators

AXIN Tool-Box™ — built to run on the infrastructure we operate

AXIN Tool-Box™ is a set of 20+ ready-to-use services for security, configuration, events, and base infrastructure — built by Axon Active, designed to run on the DevOps infrastructure we engineer and operate. The relationship works both ways.

Accelerate your platform

Instead of building authentication, SSO, multi-tenancy, file management, and event handling from scratch — drop in AXIN Tool-Box™ services and go faster. Reduces time-to-production significantly on every new platform.

Run it properly in production

AXIN Tool-Box™ clients need DevOps and DevSecOps to deploy, operate, scale, and secure their platform. The same team that builds your infrastructure knows the product it runs. No onboarding gap, no context loss.

Security Services

  • Authentication & Authorization
  • User & Group Management
  • SSO — OIDC, LDAP, SAML
  • Multi-tenancy & branch support
  • Credential & Permission Service

Event & Communication

  • Event Service — audit & triggers
  • Communication Service
  • Kafka integration
  • Elastic Stack integration

Configuration Services

  • Platform Configuration
  • Product Configuration
  • System Configuration
  • User Configuration
  • Config changes tracked via events

Base Services

  • Document Generation (PDF/DOCX)
  • File Sanitizer — antivirus, ICAP
  • File Service & S3 integration
  • Dossier & Task Service
  • Data Transfer & bulk import/export
SECURITY & COMPLIANCE

Every engagement runs under our ISO 27001-certified ISMS

NDA, DPA and SCC templates ready before you sign. 100% of intellectual property is assigned to you. Continuous certification maintained by TÜV Rheinland since 2018 — 13 external audits, 100% pass rate.

See how we protect client data
Inside Axon Active

Where ICT, DevOps, and cloud run in production

Four Vietnam offices — Ho Chi Minh City, Thu Duc, Da Nang, Can Tho — where enterprise IT systems, automated DevOps pipelines, and cloud-native infrastructure ship to production for European clients, not into roadmaps.

DevOps & Cloud at Axon Active — Where ICT, DevOps, and cloud run in production
Axon Active engineer managing server infrastructure
DevOps & Cloud at Axon Active — Where ICT, DevOps, and cloud run in production
Axon Active DevOps engineer reviewing code pipeline
Geospatial data platform using PostgreSQL, PostGIS, and Datadog for scalable mobility analytics, location-based calculations, and cloud system monitoring
Axon Active engineering team collaborating at workstations
FAQs

Frequently asked questions

What do your DevOps services actually include?

Our DevOps services cover CI/CD pipeline engineering, Infrastructure-as-Code, Kubernetes platform operations, observability, and DevSecOps — shaped by our DevOps consulting services and delivered by engineers inside your cloud accounts and repositories. Unlike most DevOps service providers, we operate what we build: you see every commit, every IaC change, and every deployment.

What's the difference between DevOps and DevSecOps?

DevOps merges development and operations into one continuous delivery workflow. DevSecOps runs security inside that same workflow — threat modeling before code, SAST/SCA and secrets scanning on every PR, SBOM on every build — instead of reviewing security at the end. Our DevSecOps consulting services build these gates into your existing pipeline without slowing it down.

How does DevOps as a service differ from buying AWS/Azure/GCP managed services?

Hyperscaler managed services operate your infrastructure as a black-box service tier — you submit tickets, they respond per SLA, you don’t see how decisions get made. DevOps as a Service at Axon is the opposite: engineers work inside your cloud accounts, your repos, your ticketing system. You see every commit, every IaC change, every deployment.

How do your cloud migration services handle compliance and data residency?

Our cloud migration services start with a data-residency and compliance assessment, then a costed roadmap from our cloud migration consulting services. We codify the target environment in Terraform, run the cutover with rollback ready, and keep operating the platform afterward — so migration and run are one continuous engagement.

What is AXIN Tool-Box™, and how does it relate to DevOps?

AXIN Tool-Box is a set of 20+ ready-to-use services — security (SSO, authentication, multi-tenancy), event handling, configuration management, and base services. DevOps clients adopt AXIN to avoid building common platform services from scratch; AXIN clients need DevOps to run it in production. Learn more at axin.services.

When do we need a DPA and SCCs?

Only when personal data is transferred (CH→VN or EU→VN).

Swiss clients (FADP): EU SCCs (2021) with Swiss annex — FDPIC as supervisory authority.

EU/EEA clients (GDPR): EU SCCs 2021 — Vietnam not on adequacy list.

UK clients (UK GDPR): IDTA or EU SCCs with UK Addendum.

Singapore clients (PDPA): ASEAN MCCs or EU SCCs recognised by PDPC.

Most DevOps engagements (IaC, pipelines, Kubernetes, logs without personal identifiers) do not trigger this requirement.

Where are your teams, and how does communication work?

Our delivery teams are in Vietnam (Ho Chi Minh City, Thu Duc, Da Nang, Can Tho), with onsite specialists embedded at client sites. For EU clients, there’s a 4-hour daily overlap between Swiss afternoon and Vietnamese morning-to-midday — that’s when standups, planning, and live discussions happen. For clients in other regions (US, APAC, Middle East), we adjust the team’s working hours to maintain at least 2–3 hours of live overlap with your business day. Outside the overlap window, work is async. Working language is English. We use your tools — Jira, Confluence, Slack, GitHub or GitLab — not ours.

How does an engagement with Axon Active start?

It starts with an initial call. We listen to what you’re building, your needs, and your expectations. We walk you through what we offer and propose a team shape, timeline, and pricing model. No deck, no sales script. If we’re not the right fit, we’ll tell you. If we are, we move to contract discussion and kick off hiring and onboarding.

Who owns the IP, and how do you protect our code and data?

You own everything, fully — every line of code, every design artifact, every piece of documentation produced during the engagement is yours under standard IP assignment terms. We retain no rights to your product, your data, or your roadmap. During delivery, code lives in your repositories under your access controls; we don’t store production code or production data on our infrastructure. NDAs are signed before discovery, IP assignment is in the master agreement, and every engineer on the team passes background checks plus annual security training.