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SERVICE 10
Cloud Migration & Cloud-Native Development
Cloud Migration / Cloud Native
Solving the "we moved to the cloud, but we're not making the most of it" problem.
We go beyond lift-and-shift, designing and implementing to draw out the real strengths of the cloud. We bring multi-cloud and SaaS-integration know-how to the table without bias.
Process
01
Current-state survey & migration plan
02
Architecture design & PoC
03
Phased migration & cost optimization
04
Cloud-native operations
Who this is for
Resolving the "we went to the cloud, but neither costs nor ops load came down"
PAIN 01
You migrated from on-premises to the cloud, but costs came in higher than expected
You only did a lift-and-shift, so you aren't taking advantage of the cloud's pricing model or scalability.
PAIN 02
Running your multi-cloud or hybrid setup has become chaotic
PAIN 03
You can't quite commit to going cloud-native (containers and serverless)
You can reach out even if you've moved to the cloud but aren't getting value from it yet.
Tell us where you stand →
The SYSTEMI approach
Designing to draw out what makes the cloud great
We don't stop at lift-and-shift. We design for optimization that spans serverless, managed services, and FinOps.
01
Current-state survey & migration plan
We make the configuration, cost, and operational burden of your on-premises or existing cloud visible, then scope what to migrate and build a plan.
Output
Current architecture / Cost analysis / Migration roadmap / Risk assessment
Output
Cloud architecture / Technology selection document / PoC findings
02
Architecture design & PoC
We design for fit-to-requirements across every layer: compute, storage, DB, network, IaC, security, and observability.
03
Phased migration & cost optimization
We run a phased migration that keeps the business running, alongside FinOps optimization such as Reserved/Savings Plans and right-sizing.
Output
Migration implementation / Cost-optimization report / Resource cleanup
Output / What happens next
Operational runbooks / SRE framework / Onboarding materials
04
Cloud-native operations
We build out a cloud-native operating model spanning containers, serverless, IaC, CI/CD, and observability, with the goal of getting you to a self-sustaining state.
What sets us apart
Can they go beyond lift-and-shift and carry it through to optimization?
A cloud migration can't be called a success just because things run. You need a partner who designs for cost, operations, and scalability too.
| Cloud vendors | Large SIers | MSPs (managed operations) | SYSTEMI | |
|---|---|---|---|---|
| Vendor neutrality | × Single cloud | △ Partner relationships | △ | ◯ Selected from your requirements |
| Cloud-native design | ◯ Product guidance | △ Best practices | △ Depends on scope | ◯ Designed to fit the business |
| FinOps (cost optimization) | △ Mostly guidance | △ | △ | ◯ Continuous optimization |
| Staying alongside you to operations | × Out of scope | △ Often just handed off | ◯ | ◯ All the way to in-housing |
AI × Cloud
Using AI to lighten cloud operations
Cost-optimization recommendations
An LLM analyzes cost data from AWS Cost Explorer, BigQuery, and the like, surfacing right-sizing, cancellation candidates, and commitment optimization.
IaC review & improvement
AI pre-reviews your Terraform / CloudFormation diffs, suggesting improvements from a security, redundancy, and cost perspective.
Runbook automation
AI automatically generates and improves runbooks from incident history and operating procedures, turning individual know-how into a team asset.
Related cases
Where we make the biggest difference
A mix of cases we can disclose publicly and illustrative model cases.
Building G-gen's cloud management SaaS cloud-native from the ground up
Challenge
A company whose core business is cloud management needed its own SaaS designed cloud-native from day one.
Outcome
A scalable configuration built on serverless, managed DBs, and IaC. Under continuous improvement.
MODEL CASE
FDE in action
For a project where lift-and-shift drove costs up, stepping in with re-architecture to optimize
Why they reached out
After migrating from on-premises to the cloud, costs ballooned and the operational load didn't come down either.
What we organized
Going serverless → redesigning the DB → staying alongside them through phased FinOps optimization.
See all cases →
DELIVERABLES
What we produce on the front line
Examples of how the materials we hand over are structured. We organize them into decision-ready inputs you can use directly in the next phase.
DOCUMENT 01 — Cloud migration plan (current state / migration strategy / cost estimate)
Cloud_Migration_Plan_v1.0.xlsx
Current architectureOn-premises / existing-cloud configuration and operating costs
Migration strategyThe rationale for choosing among Rehost / Replatform / Refactor / Repurchase
Proposed cloud architectureThe configuration for compute, DB, network, IaC, and observability
Cost estimateMonthly, annual, and upfront costs, before vs. after migration
Risks & mitigationsResponses to downtime, data consistency, skills gaps, and more
DOCUMENT 02 — Proposed architecture diagram
Example cloud-native architecture — Compute / Data / Observability
Delivery
Route 53DNS
CloudFrontCDN / TLS
WAFBlocks malicious trafficRuntime
ECS Fargate / EKSZero server management
LambdaServerlessIaC
TerraformInfrastructure as code
GitHub ActionsCI/CDManaged DBs
Aurora Serverless v2PostgreSQL
DynamoDBHigh-frequency
S3Object storageObservability / FinOps
CloudWatchMetrics💰
Cost ExplorerContinuous FinOps* We prioritize serverless plus managed services to minimize operational load and cost.
* We continuously optimize cost with right-sizing and Savings Plans.
* We continuously optimize cost with right-sizing and Savings Plans.
Frequently asked questions
Common questions about cloud migration & cloud-native development
Which should we choose: AWS, GCP, or Azure?
We decide based on your existing assets, team skills, and the managed services you want to use. We compare them without bias and choose a cloud whose strengths you can leverage, while avoiding excessive lock-in.
What about a multi-cloud setup?
It's possible, but it increases operational load, so we recommend it only when there's a clear reason (such as risk distribution or using a specific capability). Alignment with your organization's capabilities is key.
Should we use containers or serverless?
We decide based on the workload and your operating model. For long-running, stateful processing we use containers (ECS/EKS); for short-lived processing where scalability matters we use serverless (Lambda / Cloud Functions), and we combine the two.
We're worried costs will go up after migration.
From a FinOps perspective, we estimate costs before migration, then continuously right-size, optimize commitments, and clean up unused resources afterward. We've seen cases of 30–50% reductions.
Related services
FDE · Forward Deployed Engineering →
SRE · Infrastructure Automation →
Legacy System Modernization →
Tell us where your cloud stands today.
Whether you're "considering a migration," "already migrated and want to optimize," or "want to rebuild cloud-native," we can step in at any stage.
Talk to us about the cloud (free)