Currently, migrating applications to the Cloud is one of the highest priority requirements. So how can the conversion be carried out systematically, effectively and meet the requirements of production, business and operation in the best way? Here are some practical experiences about the process of “going to the cloud” – also known as Cloudification.
From the investor’s perspective, Cloudification actually brings more limitations and risks than benefits. Identifying the factors that ensure the success of a Cloudification project and the plan to turn those factors into reality is the way to start. The three key factors include:
- Efficiency: optimize costs, time and resources used in the project
- Safety: minimize risks that may occur in the project
- Management ability: predict and closely control time, budget and resources
The Migration Factory model is applied by GDATA to solve the above challenges and has been successfully applied to many customers over the years.
Start carefully with Cloud assessment Cloud assessment helps define the strategy, solution and roadmap to migrate to Cloud with reasonable costs and resources. The four steps in Cloud assessment include:
- Assess the current state of the landscape such as existing bugs and backlogs, network design, security policy, development, deployment process.
- Collect requirements during and after migration such as data protection requirements, management methods, and financial optimization.
- Assess the gap between reality and desire.
- Provide solutions to implement the conversion including technical solutions, costs, tools and post-conversion operations.
Cloud assessment helps to comprehensively evaluate 3 factors: financial, technical and administrative based on 5 paths (5RE) that can bring applications to the Cloud.
Deploy efficiently with Cloudification
Cloudification in the Migration Factory model is a rigorous process that includes: planning, selecting appropriate resources, evaluating requirements and solutions, testing and adjusting solutions, selecting tools, performing migration, and performing cutover. The cutover process is the most important to ensure that the transfer of use from the old environment to the new environment goes smoothly. Many options, including a failback solution (transferring applications back to the old environment), need to be carefully prepared.
Using tools is crucial to reduce costs, shorten time and especially minimize potential risks. GDATA used CitusTM Cloudification Suite, in which CitusTMCloudification Orchestration is the heart of this toolkit, to perform the following tasks:
- Manage the entire migration environment.
- Simplify migration operations by defining implementation steps and pipelines for each application or group of applications.
- Provides a user-friendly interface for project management.
Optimized management with Cloud managed
Cloud makes a big difference compared to the traditional data center model, so the management of Cloud and applications deployed on Cloud is also different. Cloud and Something as a service (XaaS) erase the boundaries of infrastructure and applications, requiring only a single team to perform all management from infrastructure, security to applications. Cloud changes the financial management and spending model from CAPEX (Capital Expense) to OPEX (Operational Expense). With tagging mechanisms, organizing resources or accounts by group will provide a good mechanism to control costs for each type of service, cost center to each individual effectively. Cloud also opens up opportunities to optimize the cost of using and operating all applications and infrastructure. GDATA has also built the 7L framework to support customers in optimizing costs.
Cloud with its inherent automation capabilities helps increase efficiency and reduce costs in management. Management activities include:
- Human management activities: periodically implemented through checklists and instructions.
- Hybrid management operations: use automated monitoring systems combined with parameter definition to notify the system to handle incidents when they occur.
- Automated management operations: using automated monitoring and decision-making systems based on analytics, using machine learning and artificial intelligence technologies.
In addition, Gdata also develops and provides Service Portal solutions aimed at ordinary users who do not have deep knowledge of Cloud such as system administrators, so that they can easily use them for their daily work.
It can be said that Cloud has been opening the way for businesses and organizations to carry out revolutions to improve IT management processes, applications and business production models more and more effectively.
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