Engineering for
We design, secure and run cloud platforms on AWS and Google Cloud: Kubernetes, CI/CD, production AI and everyday IT operations. Work with us as consultants, as a managed service, or as your dedicated engineering team.
AWS
Google Cloud
Kubernetes
OpenTelemetry
Elasticsearch
OpenSearchpipeline
$ git push origin main→ build ✓ test ✓ deploy…Security gates
- SAST passed
- Dependencies · SBOM passed
- Container scan 0 critical
prod · EKS / GKE
GitOps sync healthy
Cloud spend
Idle capacity reclaimed
AI agent · grounded answer
On-call · embedded SRE
What we do
Five practices. Every layer of your stack.
Build, secure and run modern infrastructure. Pick one service or combine them under one accountable team.
01 / 05
Cloud Native Consulting & Implementation
Architect, migrate, and implement resilient cloud-native platforms built for scale on AWS and Google Cloud.
- AWS
- Google Cloud (GCP)
- EKS
- GKE
- Elasticsearch
- OpenSearch
Kubernetes & Platform Engineering
Capability guideDevOps, SRE & Cloud Cost Advisory
Capability guideEnterprise Search Implementation
Capability guide02 / 05
DevSecOps, Security & Reliability
Embed automated security, zero-trust governance, and full-stack observability into every commit and deployment.
- Grafana
- Prometheus
- Datadog
- OpenTelemetry
- Pipeline OIDC
- Mutual TLS
- SOC 2
- GDPR
- HIPAA
Modern Delivery & GitOps Automation
Capability guideApplication & Code Security
- SAST Scans
- DAST Scans
- Container Image Scanning (SCA)
- Dependency Scanning & SBOM (SCA)
- Penetration Testing
Cloud Security, Zero Trust & Compliance
Capability guideObservability & Business Continuity
Capability guide03 / 05
AI Solutions & AI Operations
Move generative and predictive AI from prototype to reliable, governed production systems.
- Agentic AI
- RAG
- Vector DBs
- MLOps
- LLMOps
Applied Generative AI Engineering
Capability guideProduction AI Operations
Capability guide04 / 05
Managed TechOps & Cloud FinOps
Frictionless corporate IT governance, automated employee lifecycle security, and cloud cost control.
- Google Workspace
- SSO · MFA · RBAC
- JML
- DNSSEC
- SPF · DKIM · DMARC
- Cloud FinOps
Identity & Lifecycle
- Google Workspace Management
- Joiner, Mover, Leaver (JML)
- Identity Access Management (IAM)
- Password Access Management
Domain & IT AI Ops
Capability guideSaaS & Cloud FinOps
Capability guide05 / 05
Staff Augmentation & Outsourced Teams
Embed vetted full-stack, cloud-native, SRE, and security engineers directly into your workflows.
- Cloud-native engineers
- SRE
- DevSecOps
- Full stack
- Search
- AI / ML
Outsourced Cloud-Native & SRE Teams
Capability guideManaged Engineering Operations
Capability guideFull Stack & Search Engineering
Capability guideAll-Practice Staff Augmentation
Capability guideHow we work
From first assessment to everyday operations.
One continuous loop, with a clear owner at every step and no handover cliff at the end.
-
01
Assess
Map the estate, risks and costs. Agree the target and what “done” means.
-
02
Build
Migrate, containerize and automate with Kubernetes, infrastructure as code and CI/CD.
-
03
Secure
Shift-left scans, zero-trust identity and audit-ready evidence on every release.
-
04
Run
Observability, SLOs, on-call and recovery drills keep production healthy.
-
05
Optimize
FinOps, licence hygiene and AI-assisted operations cut cost and toil.
- Your context firstWe map the business constraint, environment and decision-makers before choosing the work.
- Trade-offs in viewArchitecture choices, risks, costs and dependencies are documented and open for review.
- A system you ownRepositories, access, runbooks and acceptance checks are yours from day one.
Our toolbox
The stack we work in every day.
Open-source and cloud-native tooling across every layer, from infrastructure as code to observability and cost control. We work with what you already run.
- Observe
- Secure
- Deliver
- Run
- Provision
- Protect
Hover or select a layer to see how we use each tool.
See every service, signal and alert.
PrometheusCollect service metrics and evaluate alerting rules.
GrafanaExplore metrics, logs and operational dashboards.
OpenTelemetryInstrument and collect metrics, traces and logs.
New RelicConnect application performance and infrastructure telemetry.
ELK StackCollect, search and analyze operational logs.
Catch issues in code and images early.
SonarQubeInspect code quality and surface maintainability issues.
Aqua TrivyScan containers and infrastructure for vulnerabilities.
Build, test and release from Git.
GitHub ActionsRun repository-driven build and verification workflows.
GitLab CIKeep source changes and delivery pipelines connected.
JenkinsAutomate build, test and release workflows.
Argo CDReconcile Kubernetes deployments from versioned Git state.
JFrogManage versioned artifacts through the delivery lifecycle.
Package and orchestrate workloads.
KubernetesOrchestrate container workloads and their runtime resources.
DockerPackage application code into repeatable containers.
HelmPackage and manage Kubernetes application releases.
RancherManage Kubernetes clusters across environments.
KarpenterProvision cluster capacity around workload needs.
KEDAScale Kubernetes workloads using event-driven signals.
Reviewable, repeatable infrastructure.
TerraformDefine and review infrastructure as versioned configuration.
AnsibleAutomate repeatable system configuration and operations.
Spend, backups, data and traffic.
KubecostUnderstand Kubernetes spend and workload allocation.
VeleroProtect Kubernetes workloads and restore their resources.
MySQLRun relational data services for applications.
NGINXRoute application traffic through a configurable web gateway.
Case studies
What this looks like in practice.
Example engagements showing how our practices come together on real kinds of problems.
Cloud Native · Example engagement
Moving a SaaS platform to GKE without a big-bang cutover
B2B SaaS scale-up · 40 engineers · VM-based monolith
A growing SaaS product had outgrown hand-managed VMs. Releases were slow, scaling was manual and every change touched the whole application.
Read the case studyDevSecOps & Security · Example engagement
Shift-left security for a regulated fintech release pipeline
Payments company · audit-driven · manual security reviews
Security reviews happened at the end of each release, findings arrived late and audit evidence was rebuilt by hand every quarter.
Read the case studyAI Solutions · Example engagement
A grounded AI assistant for an operations team
Enterprise operations team · thousands of runbooks · strict access rules
Engineers lost time searching runbooks and wikis during incidents. A chat assistant had to answer only from approved sources and respect existing permissions.
Read the case studyEngagement models
Work with us the way that fits.
The practice defines the expertise. The engagement defines who owns what. Choose deliberately.
Consulting
Make a better technical decision.
- Best when
- You need clarity before you commit budget.
- DotConn
- Leads the assessment and recommendations.
- You receive
- Assessment, options, architecture decisions and a prioritized roadmap.
Implementation
Deliver an agreed technical change.
- Best when
- The target is clear and needs building.
- DotConn
- Coordinates delivery and validates acceptance criteria.
- You receive
- A working system, tested configuration, documentation and handover.
Managed service
Keep agreed work running.
- Best when
- You want a platform or IT area run for you.
- DotConn
- Owns recurring service activities and reporting.
- You receive
- Runbooks, service reports, review cadence and escalation records.
Managed pod
One team around a delivery scope.
- Best when
- You have a backlog, not a headcount gap.
- DotConn
- Coordinates specialists and delivery reporting.
- You receive
- An agreed backlog, delivery ownership, working increments and knowledge transfer.
Staff augmentation
Your direction. Extra specialist capacity.
- Best when
- Your team leads and needs more hands.
- DotConn
- Supplies vetted specialists and coordinates the engagement.
- You receive
- A defined role and capacity, onboarding plan and customer-directed contributions.
Need more engineering capacity?Embed vetted cloud-native, SRE, security and full-stack engineers directly in your team.
Hire a dedicated team Let’s talk
Whatever you need to build, secure or run,
we’re ready to help.
Cloud migration, Kubernetes, DevSecOps, production AI, managed TechOps or a dedicated engineering team. Tell us the challenge and a senior engineer will help you scope it.
Or email sales@dotconn.net