Migrating systems to the cloud takes, on average, 1 to 3 months for medium-sized environments, while highly complex projects or integrated monoliths can require from 6 months to over a year. The exact timeframe depends directly on the volume of data, the number of users, the complexity of the integrations, and the strategy adopted (such as migration without code changes, which drastically reduces this time).
Understanding the timelines: why migration doesn't happen overnight?
Moving a company's infrastructure to the cloud is often compared to moving corporate headquarters: it's not just about transporting boxes, but about ensuring that the new electrical power, room layout, and security are working perfectly before the team starts producing.
In cloud computing, the total migration time is divided into key stages:
- Analysis and planning (1 to 3 weeks): mapping of the IT inventory, system dependencies (such as ERPs and databases), and compliance assessment.
- Infrastructure preparation (1 to 2 weeks): landing zone configuration,security policies, access rules, and governance.
- Data migration and validation (2 to 4 weeks): data replication to public cloud providers (hyperscalers) and load and performance testing.
- Switch-up (Go-Live) and initial support (1 week): final migration of recent data, user onboarding, and real-time application monitoring.
The biggest fear of IT directors: the risk of "Code Rewriting"
The main objection: "I can't start a cloud migration now because rewriting the code of our traditional ERP or our critical business applications will paralyze the company for months, in addition to generating unpredictable costs."
Overcoming objections with market logic
The classic mistake that inflates migration timelines is believing that every move to the cloud requires refactoring the application from scratch (replatforming or refactoring). When organizations use intelligent platforms with a No-Code Migration, the original business logic is fully preserved.
This eliminates the risk of new structural bugs, reduces development times to zero, and allows complex client-server systems or monoliths to run directly in the browser in an agile and secure way, without budget surprises.
Practical scenario: before vs. after infrastructure modernization
Imagine a retail chain with accounting, tax, and logistics operations that are severely decentralized across local (on-premise) servers.
- The previous scenario: generating critical reports, such as seasonal accounting closing or calculating taxes like ICMS (a Brazilian sales tax), consumed approximately 8 hours of processing time, creating operational bottlenecks and hindering the pace of sales teams.
- The scenario afterward: by migrating to an optimized and managed cloud infrastructure, with high-performance processors and disks, the centralization of information reduced this processing time from 8 hours to just 2 hours. The IT team, freed from the heavy routines of physical maintenance, began to focus exclusively on innovation, governance, and data security.
Comparison of migration strategies
The table below compares the impact on timelines and efficiency depending on the model adopted for migrating business applications to the cloud:
| Evaluation Criteria | Migration with Zero Change (Skyone Autosky) | Pure Infrastructure (Traditional IaaS) | Traditional VPN + Cloud |
| Average Setup Time | Hours or days | Weeks | Weeks |
| Need to Change Code | None (Preserves the original logic) | Frequent | None |
| Connectivity Model | Via Browser (HTTPS – Port 443) | Dedicated console or RDP | VPN tunnels are mandatory |
| Security against Threats | Native Zero Trust Architecture | It depends on manual configuration | Vulnerable perimeter |
| Integrated Backup Guarantee | Automatic with 7-day retention | Contracted and configured separately | Manual or locally managed |
FAQ
1. How many systems or ERPs can be migrated using modern cloud methodologies?
Over 400 types of ERPs and systems in client-server or monolithic architectures have already been tested, validated, and successfully migrated to the public cloud, covering the finance, logistics, HR, and marketing verticals.
2. What is RTO and what is the guaranteed timeframe for disaster recovery?
The RTO (Recovery Time Objective) determines the maximum time a system can take to be restored after a failure. In managed cloud backup architectures, the standard RTO ensures the restoration and full availability of the environment within a range of up to 4 hours.
3. Which databases are supported in modern cloud computing environments?
The main infrastructures offer native compatibility and optimized licensing for open and proprietary platforms, including Oracle (Enterprise, Standard, and Express), SQL Server (versions 2014 to 2022), SAP HANA (for SAP B1 environments), MySQL, PostgreSQL, MariaDB, Firebird, and Progress.
4. How is cloud workload management priced?
To avoid fluctuations and hidden fees resulting from exchange rate variations, the strategic pricing of robust platforms is structured in a predictable way, charged in local currency, and scaled by active user license or specific workload volume.
5. What changes in the end-user printing experience when migrating to the cloud?
There are two scenarios: via direct navigation (Web Access), the system generates a PDF file optimized for local printing. Alternatively, using dedicated plugins (Local Plugin), the user's local and network printers are synchronized and appear natively mapped within the remote application.
6. How does Zero Trust architecture work in authenticating corporate access?
In the Zero Trust architecture, all source IPs are blocked by default. Connectivity authorization is granted ephemerally in real time only after complete validation of the device and user (with mandatory use of MFA), and is summarily revoked as soon as the session ends.
Technical glossary of infrastructure terms
- Hyperscalers: the large global public cloud providers that offer computing and storage capacity at massive scale, such as AWS (Amazon Web Services), Microsoft Azure, OCI (Oracle Cloud Infrastructure), and Google Cloud.
- MFA (Multi-Factor Authentication): a security layer that requires two or more independent validation factors to authorize access (such as strong passwords combined with tokens generated via QR Code on mobile devices).
- iPaaS (Integration Platform as a Service): a centralized cloud platform developed to simplify the construction, execution, and management of integration flows and data connections between heterogeneous systems.
- Single Sign-On (SSO) with SAML 2.0: a protocol that allows employees to authenticate only once with a centralized corporate identity provider (such as EntraID) to gain secure access to multiple authorized applications, without needing to re-enter credentials.
- Skyone Autosky: an all-in-one platform designed to modernize and migrate ERPs and client-server systems to the cloud without code changes, unifying infrastructure, cybersecurity, and continuous automation.
- Skyone Studio: a solution focused on the intelligent integration of data and ecosystems, enabling the orchestration of operational flows and the preparation of analytical information for Business Intelligence and Artificial Intelligence tools.
