“Delivery pipelines are slow, fragile or require too many manual steps.”
All consulting solutions
SOURCE → AUTOMATE → DELIVER → OPERATE
DevOps & Platform Engineering
Improve software delivery and platform engineering by connecting CI/CD, automation, containerization, Kubernetes and observability into an operable system.
Typical client situations
Recognize the problem before choosing the solution.
These are representative situations, not prerequisites for engagement.
“Teams have adopted containers or Kubernetes but platform ownership and operating practices remain unclear.”
“Infrastructure automation exists, but workflows are inconsistent across environments.”
“A platform team needs a roadmap for self-service, reliability and developer productivity.”
Consulting areas
CI/CD architecture
Infrastructure automation
Container platform design
Kubernetes architecture
Platform engineering
Observability
Release / rollback
Engineering productivity
Assessment scope
Source-to-production workflow
Pipeline stages and controls
Secrets / credential handling
Image and artifact lifecycle
Kubernetes workload and platform design
Observability and alerting
Change safety and rollback
Representative engagements
Scope the engagement around the engineering decision.
Engagements can be short assessments, focused architecture work, implementation support or retained advisory.
CI/CD review
Platform architecture
Kubernetes readiness assessment
Automation modernization
Container migration
Observability design
Platform troubleshooting
Deliverables
Leave with decisions, evidence and a path forward.
Deliverables are selected during scoping. Not every engagement needs every artifact.
01
Pipeline / platform findings
02
Reference delivery architecture
03
Automation backlog
04
Kubernetes / container recommendations
05
Observability plan
06
Implementation roadmap
07
Runbook and operating guidance
Intended outcomes
Faster and safer delivery
Less manual infrastructure work
Clearer platform ownership
Improved reliability and observability
Better developer experience
Technology context
GitGitHub ActionsGitLabJenkinsAnsible / AAPDockerKubernetesHelmPrometheusGrafana
Engagements can stop at architecture and recommendations or include selected pipeline, automation, Kubernetes and observability implementation work.
How we can engage
Assess
Independent technical assessment of architecture, reliability, security, performance or operational readiness.
Architect
Reference architecture, design decisions, technology selection and implementation roadmap.
Implement
PoCs, integration, migration, automation, optimization and selected hands-on engineering work where scope permits.
Advise
Ongoing technical advisory, architecture reviews, troubleshooting support and engineering guidance.
Start with the problem