Our comprehensive cloud assessment and strategy services are designed to help you navigate the complexities of cloud adoption, modernization, and optimization. From initial assessment to crafting a tailored strategy, we partner with you every step of the way to ensure seamless integration, maximize cost-efficiency, and drive innovation. Transform your business with confidence and stay ahead in today’s rapidly evolving digital landscape.
Gleecus TechLabs Inc. provide strategic guidance to organizations at all stages of their cloud journey: from determining what public cloud is the best fit for your business and application, to changes in operations and getting the most out of your cloud infrastructure so that you can focus on delivery and innovation, to maintaining your security posture and aligning with regulatory compliance.
Analyze your business goals such as cost savings, increased agility, improved performance, enhanced scalability, cost reduction and how cloud migration can support them.
Perform a complete assessment of existing IT infrastructure (hardware, software, network) and its compatibility with the cloud.
Evaluate for the best suited services for cloud migration. Account for the dependencies of existing applications and possible migration challenges that can arise from them.
Analyze your current IT spending on infrastructure and maintenance, areas of cost savings and compare with the potential licensing costs and cloud service fees.
Assess the potential impact of cloud migration on organization and customers and develop a change management strategy to minimize disruption and ensure smooth user adoption.
Develop a detailed roadmap for migration, including timelines, resource allocation, and risk mitigation strategies.
Get a comprehensive view of your cloud spend, identify idle and redundant resources, and compare pricing models of different cloud services based on your needs.
Evaluate the performance of your applications and workloads within the cloud environment. Identify bottlenecks, optimizes cloud resources for better performance, and ensures a smooth user experience.
Assess the effort and resources required to modernize each application based on application's size, complexity, and required changes (e.g., containerization vs. refactoring).
Identify all the functional components of your monolithic architecture and analyze how they interact with each other for data, functionalities and the libraries and resources they share.
Choose the right tool for IaaC implementation (e.g., Terraform, AWS CloudFormation, Azure Resource Manager) and break down your infrastructure into smaller, modular components with reusable infrastructure templates as code.
Improve your security posture and fulfill compliance assessment with compliance standards like HIPAA, PCI, GDPR, NIST, ISO to maintain a high standard of compliance.
Understand the structure, volume, distribution of your data and validate the quality of your data before attempting database migration through both manual profiling and using tools like AWS Glue or Azure Power Query.
Transform the database schema to support migration between two different database engines using tools with database schema conversion capability.
Select the migration approaches between lift-and-shift, or trickle down. Establish the data capturing methods like CDC and the querying permissions of the source and destination databases. Build ETL/ETL pipelines for migration.
Build test processes to frequently test for safe transit of data elements and their high quality and congruence with requirements when entering the target infrastructure.
Implement a strict IAM system to control access to your data in the cloud. This involves defining user roles, permissions, and access controls for different users and applications.
Extract value from your data through various data analytics cloud-native tools and get actionable insights to improve customer experience, optimize marketing campaigns, identifying operational inefficiencies, and predicting future trends.
Assess the state of your applications. Are they fully cloud-native, leveraging serverless functions,
Evaluate your cloud data environment. Are you utilizing advanced analytics services like machine learning and AI to extract maximum value from your data?
Establish a central team to govern cloud adoption, ensure best practices are followed, and promote knowledge sharing across the organization.
Leverage cloud-based ML/AI services for tasks like image recognition, natural language processing, and predictive analytics. (e.g., AWS SageMaker, Azure Machine Learning)
Implement container orchestration platforms like Kubernetes to manage containerized applications at scale in the cloud.
Implement Cloud Security Posture Management (CSPM) tools to continuously monitor and improve your cloud security posture, identifying and mitigating potential risks.
A cloud first enterprise platform wanted to enable its customers to take business-critical decisions in real time based on data spread across different platforms. Built a data ingestion feature BYOD (Bring Your Own Data) to ensure access to uniform data across customer products.
We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to market.
We believe in partnering with organizations to help them discover the power of technology by unlocking their true digital potential.