Overview
Cloud Migration & Optimization is an end-to-end managed service that moves an organization's existing server, application, database and file workloads from an on-premises data center or another cloud environment to the target cloud in a planned manner, and continuously improves that environment after the move. Indexline does not simply handle the migration itself; it runs discovery, architecture design, migration, validation and subsequent day-to-day operations under a single point of responsibility. This turns the migration project from a one-time technical exercise into an ongoing service model with measurable objectives.
The decision to move to the cloud is usually driven by an approaching hardware refresh cycle, expiring data center contracts, the need to launch new digital channels quickly or rising business continuity expectations. However, the agility and cost advantages the cloud promises depend directly on how the migration is carried out. An unplanned migration can result in prolonged outages, unexpected performance problems and runaway bills. A well-designed migration program, by contrast, proceeds so quietly that business units barely notice it, and delivers measurable value from the very first month.
Technically, a modern migration program is shaped around the strategies known in the industry as the "7Rs": rehost (lift and shift), replatform, refactor, repurchase, retain, retire and relocate. The right strategy for each workload is chosen by jointly assessing its dependency map, licensing terms, performance profile and business criticality. On the data side, continuous block-level replication, databases' native replication mechanisms and change data capture (CDC) approaches make it possible to reduce the downtime window to minutes. IaC tools such as Terraform ensure the target environment is built in a repeatable and auditable way.
Underestimating the migration process or skipping the optimization phase is costly. When an application whose dependencies have not been discovered is migrated, a legacy integration relying on a fixed IP address or a forgotten scheduled task can cause unexpected outages in production. When on-premises capacity is copied one-to-one, oversized virtual machines, idle disks and resources left running unnecessarily can push the cloud bill above on-premises costs. On the security side, misconfigured access policies and publicly exposed storage create serious compliance and reputational risks under KVKK (Turkish Personal Data Protection Law).
Indexline approaches this process in three main phases: assess, migrate, and operate and optimize. In the assessment phase, inventory, dependency and cost analyses produce a justified roadmap for each workload. In the migration phase, a controlled transition is carried out that starts with pilots, proceeds in waves and keeps a rollback plan ready at every step. The service does not end when the migration is complete; Indexline monitors the environment 24/7, regularly analyzes resource usage, implements right-sizing and reservation recommendations, and provides the customer with cost, performance and security visibility through monthly reports.
How It Works
Discovery and Inventory: Servers, applications, databases, network flows and scheduled tasks are identified using automated discovery tools and stakeholder interviews; a dependency map between applications is created.
Workload Assessment: Each workload is analyzed in terms of performance profile, licensing status, business criticality and technical debt; the decision to rehost, replatform, refactor or retire is justified within the 7R framework.
Cost and Target Architecture Design: The current total cost of ownership (TCO) is compared with the target cloud cost; the landing zone, network topology, identity management, security and backup architecture are designed.
Landing Zone Setup: The target environment is built with IaC tools such as Terraform; the account/subscription structure, network segmentation, VPN or dedicated line connectivity, role-based access and tagging standards are put in place.
Pilot Migration: A pilot migration is carried out with a low-risk but highly representative application; tools, runbooks and downtime are validated under real conditions.
Wave-Based Migration: Workloads are migrated in waves according to dependency groups; data is kept in sync with continuous replication and CDC, and cutover takes place in planned maintenance windows with a rollback plan ready.
Validation and Go-Live: Functional tests, performance comparisons, data integrity checks and user acceptance tests are completed; DNS and traffic routing are switched to the new environment in a controlled manner.
Managed Operations and Continuous Optimization: The environment is monitored 24/7; right-sizing, reservation planning, idle resource cleanup and automatic shutdown policies are applied, and the improvement cycle is sustained through monthly cost and performance reports.
Key Features
Automated Discovery and Dependency Mapping
Network flows between servers and application connections are analyzed to clarify which systems must be migrated together. Overlooked integrations come to light before the migration.
7R-Based Migration Strategy
For each workload, the decision to rehost, replatform, refactor, repurchase, retain, retire or relocate is documented with technical and business justification; a one-size-fits-all lift and shift approach is avoided.
Minimal-Downtime Data Migration
With continuous block-level replication, databases' native replication features and CDC, data is kept in sync between source and target. Downtime at cutover is reduced to minutes.
Landing Zone with IaC
The target environment is built with infrastructure as code tools such as Terraform. Network, access, security and tagging standards become repeatable, version-controlled and auditable.
Cutover with Rollback Planning
A detailed cutover runbook, success criteria and rollback scenario are prepared for each wave. In the event of an unexpected situation, a controlled return to the source environment is possible.
Right-Sizing and Resource Analysis
CPU, memory, disk and network usage metrics are analyzed regularly; oversized resources are scaled down and workloads experiencing bottlenecks are scaled up.
FinOps Cost Visibility
A tagging standard enables costs to be broken down by project, department and application. Budget alerts, reservation recommendations and monthly cost reports are provided.
Secure, KVKK-Compliant Design
Least-privilege access, encryption, centralized log collection and network segmentation are part of the design. Data residency is planned with KVKK requirements in mind.
Benefits & Advantages
Thanks to a planned, wave-based migration, business units experience minimal disruption; critical processes keep running throughout the migration.
Dependency analysis and pilot migrations significantly reduce the risk of surprise outages and rollbacks in production.
Right-sizing, reservation planning and idle resource cleanup align cloud spending with actual needs.
The burden of hardware refreshes and data center operations disappears; IT teams can focus on projects that create business value.
Standardized environments built with IaC cut the time to provision a new environment from days to hours and reduce configuration drift.
The migration also modernizes the security, backup and monitoring architecture, raising the organization's overall operational maturity.
A managed service model delivered through a single point of contact eliminates gaps in responsibility, from pre-migration through to day-to-day operations.
Industry Use Cases
Finance & Banking
Test and development environments for channel applications were migrated to a domestic cloud in line with KVKK and internal audit requirements; environment provisioning time fell from two weeks to one day.
Retail / E-Commerce
Order and catalog services were moved to the cloud through a wave-based migration; automatic scaling kicked in during campaign periods, and off-season right-sizing reduced monthly infrastructure costs by 30%.
Manufacturing
Scattered ERP and reporting servers across factories were consolidated in a central cloud environment; investment in replacing aging hardware was deferred and backup processes were standardized.
Healthcare
Patient appointment and laboratory integration systems were migrated during an overnight maintenance window using CDC-based replication; cutover time stayed under 20 minutes.
Public Sector
A citizen services portal subject to data localization requirements was migrated to a cloud located in Turkey; access logs were collected centrally, making audit reporting easier.
Logistics
Usage of vehicle tracking and warehouse management applications was analyzed; idle resources were shut down, and an automatic scale-down policy for night hours cut the cloud bill by 25%.
The Indexline Approach
For Indexline, moving to the cloud is not simply about copying servers from one location to another. A successful migration starts with business objectives: no technical plan should be drawn up before it is clear which application needs to scale faster, which system is creating cost pressure and which data is subject to which regulation. That is why we start every project with an assessment involving business units, IT operations, security and finance teams, and tie migration decisions to shared, measurable objectives.
Applying the same strategy to all workloads is the most common mistake in migration projects. For some applications, a quick, low-risk rehost is the right choice; others deliver far greater value when moved to a managed database or container platform. Retiring applications that are unused or whose function is covered by another system is as important a decision as migrating them. Indexline applies the 7R framework with a justification for each workload and advances modernization at the pace the organization is ready for.
Risk management is at the heart of our approach. We validate tools and processes through pilot migrations, move workloads in waves according to dependency groups and keep a pre-tested rollback plan ready for every cutover. Cutover decisions are made against predefined success criteria such as data integrity, performance comparison and functional tests. This way, the migration process relies not on individual experience but on a repeatable, documented methodology.
Once the migration is complete, the real value-creation phase begins. In the cloud, cost and performance do not remain fixed by the design made on day one; usage patterns, new projects and seasonal peaks constantly change the environment. Using FinOps principles, Indexline regularly analyzes resource usage, implements right-sizing and reservation recommendations, cleans up idle resources and manages automatic shutdown policies. Monthly reports provided to the customer show transparently which workload each expense belongs to and how much each improvement has saved.
Security and compliance are not a layer added to the migration plan afterwards, but part of the design from the outset. In line with the shared responsibility model, topics such as identity and access management, network segmentation, encryption, log collection and backup are designed at the landing zone stage. Where data covered by KVKK will be stored and who will have access to it is clarified at the start of the project. Thanks to this holistic approach, the organization does not lose control after moving to the cloud; on the contrary, it gains infrastructure that is more visible, more secure and easier to audit.
Frequently Asked Questions
How long does a cloud migration take?
The duration depends on the number of workloads, the complexity of dependencies and the chosen migration strategies. An environment of a few dozen servers can be migrated within a few weeks, including discovery, while enterprise migration programs spanning hundreds of applications extend over several months in waves. At the end of the assessment phase, a realistic timeline is shared for each workload.
Will our systems experience downtime during the migration?
The goal is to minimize downtime. With continuous replication and CDC, data is kept in sync between source and target throughout the migration; the actual downtime occurs only at cutover, covering the final synchronization and traffic redirection. For most workloads, this lasts a matter of minutes and takes place within a planned maintenance window.
Should we choose lift and shift or refactoring?
There is no single right answer. Lift and shift (rehost) is fast and low-risk, and ideal when the data center exit schedule is tight; however, it makes only limited use of the cloud's elasticity. Replatforming or refactoring requires more effort but delivers cost and agility gains in the long run. In practice, most organizations rehost first and then gradually modernize their critical applications.
Will our cloud costs increase after the migration?
They can if no optimization is done. Copying on-premises capacity one-to-one leads to oversized resources and unnecessary spending. After the migration, Indexline aligns costs with actual needs through usage-based right-sizing, reservation planning, idle resource cleanup and automatic shutdown policies, and prevents surprises with budget alerts.
Which applications should not be moved to the cloud?
A retain strategy may be more appropriate for field systems requiring very low latency, legacy applications tied to specific hardware, software whose licensing terms do not permit cloud use, or data that must remain on-premises for regulatory reasons. These workloads are securely connected to the cloud environment through a hybrid architecture.
Can we bring our existing software licenses to the cloud?
Many enterprise software products can be moved to the cloud under a BYOL (Bring Your Own License) model; however, the terms vary by vendor and license type. For Microsoft licenses, for example, Software Assurance and license mobility rules are decisive, while vendors such as Oracle have specific rules for virtualization and cloud environments. License compliance is reviewed separately during the assessment phase.
Does moving to the cloud create a risk under KVKK?
When designed correctly and with all obligations fully met, it does not create additional risk. Where personal data will be stored, whether there will be any cross-border transfer and, if so, how KVKK's transfer conditions will be met, as well as access rights, encryption and logging, should be planned at the start of the project. Cloud infrastructure located in Turkey simplifies data residency, while documenting access and processing activities is an integral part of compliance.
Who manages the environment once the migration is complete?
Since Cloud Migration & Optimization is designed as a managed service, 24/7 monitoring of the environment, incident management, patch and backup tracking, capacity planning and cost optimization are carried out by Indexline under the SLA after the migration. The division of responsibilities is clearly defined at the start of the contract; the organization may choose to keep certain layers with its own team.