01
The target cloud is not ready
Moving workloads before accounts, networking, IAM, logging and deployment paths exist usually creates expensive chaos.
Why teams call us
The symptoms behind the search
02
Migration cost is guessed
Cloud bills can rise after migration when sizing, storage, egress and commitments are not modeled early.
03
Teams inherit a mystery platform
A migration is not done until engineers can deploy, monitor, troubleshoot and operate the new environment.
What you get
Practical deliverables, not just advice
The output is designed for engineering teams that need to act: roadmaps, controls, dashboards, automation, runbooks and implementation support.
Migration roadmap
Application inventory, dependency mapping, wave plan, cutover strategy and risk register.
Cloud landing zone
Accounts, subscriptions or projects, networking, IAM, logging, security baselines and environment structure.
Data and application move
Migration patterns for databases, APIs, workers, Kubernetes, VMs and managed services.
Operations handover
CI/CD, dashboards, alerts, runbooks and team enablement for the new platform.
How the work flows
From first look to handover
Assess
We map apps, data, dependencies, traffic, compliance, deployment process and current cost.
Design
We design the target architecture, migration waves, rollback paths and operational model.
Migrate
We move workloads in controlled waves with testing, observability and clear ownership.
Optimize
We right-size, add commitments, automate operations and hand the platform to your team.
Tools we can work with
Improve the stack you already have
We usually make your current tools cleaner before recommending a switch. The goal is a better operating model, not a shiny tool migration.
AWSAzureGoogle CloudTerraformOpenTofuKubernetesDockerGitHub ActionsAzure DevOpsCloudWatchDatadogPrometheus
Questions
What people ask before we start
Often yes, depending on the application and data model. We design the cutover and rollback strategy after assessing dependencies and state.
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