DotConn Technology
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Cloud Native Consulting & Implementation

Build the platform your next stage needs.

Architect, migrate, and implement resilient cloud-native platforms built for scale on AWS and Google Cloud.

Discuss this practice Explore the services
  • AWS
  • Google Cloud (GCP)
  • EKS
  • GKE
  • Elasticsearch
  • OpenSearch
Developer portalService templateData pipelineFrontend appScheduled jobDevStagingProductionGolden path · self-service

4 capability areas · 8 services

What we deliver in Cloud Native.

Move workloads to AWS or Google Cloud, modernize what holds you back, and give engineers a platform they can run with confidence.

Current estateAWS · Google CloudLANDING ZONEApp serversApp serversDatabasesDatabasesBatch jobsBatch jobsMigration wavesCutover · rollback ready

01

Cloud Migration & Modernization

Typical deliverablesWorkload assessment · migration waves · cutover & rollback plan

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Cluster · EKS · GKEControl planenode-1node-2node-3Autoscaling: node-4 joins on demandGitOps sync healthyPolicies enforcedTRAFFIC

02

Kubernetes & Platform Engineering

Typical deliverablesCluster design · reusable infrastructure · developer golden paths

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PipelinePlanBuildTestReleaseLearnRun logPolicy gatesTests passNo critical findingsApproved change

03

DevOps, SRE & Cloud Cost Advisory

Typical deliverablesMaturity roadmap · service objectives · cost decision record

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Deliverables

What you receive.

We agree acceptance criteria, evidence and handover as part of the scope, before implementation begins.

  • Architecture decisions and a prioritized implementation plan
  • Versioned infrastructure and configuration in agreed repositories
  • Workload-specific acceptance checks and operational runbooks

In practice

Modernize without moving every problem at once.

An example SaaS team has a tightly coupled application and an uncertain migration path.

Step 1

Map dependencies and establish service objectives.

Step 2

Migrate a bounded workload; prove cutover and rollback.

Step 3

Introduce EKS/GKE and a golden path where the operating model supports them.

The useful result

A reviewed migration sequence, tested deployment path and ownership map for the team taking over.

Getting started

Start with a workload and platform assessment.

Helpful starting context

Current architecture, dependencies, business constraints, cloud usage and the team that will operate the platform.

Set the boundaries early

Zero-downtime migration is a target to evaluate per workload, with agreed cutover criteria. Continuing cost governance belongs in Managed TechOps & FinOps.

Engagement models

Choose how we engage.

The practice defines the expertise. The engagement defines who owns what.

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.
Discuss this model

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.
Discuss this model

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.
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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.
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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.
Discuss this model

Other practices

When the work connects.

DevSecOps, Security & Reliability

Embed automated security, zero-trust governance, and full-stack observability into every commit and deployment.

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AI Solutions & AI Operations

Move generative and predictive AI from prototype to reliable, governed production systems.

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Managed TechOps & Cloud FinOps

Frictionless corporate IT governance, automated employee lifecycle security, and cloud cost control.

Explore

Staff Augmentation & Outsourced Teams

Embed vetted full-stack, cloud-native, SRE, and security engineers directly into your workflows.

Explore