DevOps Consulting
Diagnoses where delivery slows down between code commit and production then reshapes the toolchain workflows and team boundaries so software ships more often with fewer incidents.
Everything included under this practice line.
DORA and SPACE metrics baseline: lead time deploy frequency change failure rate and MTTR
Value stream mapping across build test release and operate to locate the real bottleneck
Branching and trunk-based development strategy aligned to release cadence
Toolchain rationalization across source control CI artifact management and deployment
Environment strategy including ephemeral preview environments and shared staging discipline
Incident response practice: on-call rotation design runbooks and blameless postmortems
DevSecOps integration folding SAST SCA and secrets scanning into the delivery pipeline
Coaching engineering leads on shift-left testing and change management practices that survive audits
The stack we reach for.
What the business gets, measured.
- Shorter lead time from code commit to production release
- Lower change failure rate through earlier validation and safer rollout patterns
- Reduced toil so engineering capacity shifts back to product work
- Audit-ready delivery evidence without slowing developers down
- Clearer ownership between application platform and security teams
The specialists behind this practice line.
DevOps consultants and delivery coaches work alongside your engineering leads to trace real pull requests through the pipeline with build engineers release managers and security champions pulled in where the specific bottleneck sits. The recommendations come from watching how work actually moves not from a maturity model applied on paper.
Compose several capabilities into one engagement.
Cloud Consulting & Migration (AWS, Azure, GCP)
We plan the target landing zone then move workloads across in waves so nothing goes dark. Lift-and-shift where it makes sense replatform where the payoff is real.
CI/CD Pipeline Automation
Pipelines that build test scan and deploy on every merge without a human in the loop. Same pipeline for every service so nobody has to relearn it.
Infrastructure as Code (Terraform)
Every resource in a repo reviewed like application code. No click-ops no drift and no server that only one person knows how to rebuild.
Kubernetes & Container Orchestration
EKS AKS or GKE clusters set up so day-two doesn't become a fire drill. Sane defaults for networking RBAC upgrades and workload isolation.
Platform Engineering
Internal developer platform so product teams ship services without filing tickets. Golden paths for the common cases escape hatches for the rest.
Site Reliability Engineering (SRE)
SLOs tied to what users actually feel error budgets that gate risky changes and on-call rotations that don't burn people out. Postmortems that fix causes not symptoms.
Cloud Cost Optimization
We find the money leaking on idle instances oversized nodes forgotten volumes and egress. Then we set guardrails so it doesn't creep back next quarter.
Disaster Recovery & Business Continuity
RTO and RPO targets you can actually meet backed by restores we test on a schedule. Backups nobody has restored are not backups.
Let's talk
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One senior engineer will respond within one business day.
Prefer email? hello@aueron.in