Boost speed to market by 10x
The best way to reap the full benefits of the cloud infrastructure and technology stack is to modernize applications, deployment, and change management processes during the migration. Splitting the legacy monoliths to microservices, moving to containers, and implementing autonomous application best practices helps boost speed to market by 10x, while increasing enterprise agility and minimizing costs.
Increase efficiency and reliability
Modernization may be a long term strategy but for some companies migration to the cloud should be done fast to retire a datacenter or increase reliability and scalability. For legacy applications that don’t require active development, investment in modernization won’t pay off even in the long run. In these cases, a lift-and-shift strategy can be beneficial, or serve as a good starting point in the cloud migration process.
Increase speed to insights
On-premise data lakes and EDWs are becoming a thing of the past. They come with high maintenance costs and stability issues, coupled with lack of scalability and limited technology stack options for DataOps and MLOps. Migrating on-premise data processing to a cloud based solution reduces total cost of ownership, increases data quality and accessibility, and re-focuses company resources on building differentiating value.
Innovate with AI
Demand for AI-powered innovation often triggers cloud adoption for advanced analytics use cases. The ease of provisioning infrastructure and AI platforms, scaling model training, and establishing proper MLOps processes makes cloud the perfect choice for AI. DataOps and MLOps help further increase the quality of data pipelines and help data scientists consistently and repeatedly turn data into insights.
Optimize cloud costs
After migrating to the cloud, enterprises often discover they’re now facing increased infrastructure costs. But by modernizing applications to take advantage of containers and auto-scaling, implementing lightweight continuous delivery, establishing proper cloud account structure, and implementing cost monitoring, it’s possible to achieve ongoing cost efficiency gains.
Cloud migration strategy
The cloud migration journey starts with analyzing the current application and data assets portfolio and identifying candidates for initial migration and modernization.
Old applications that work well as-is. | Old applications that experience reliability issues in the datacenter. | Legacy or modern applications and services. | Legacy monolithic applications and services. | What |
Not cloud-friendly or SaaS. | Not cloud-friendly. | Mixed, cloud-native, and not cloud-friendly. | Monolithic, non-cloud-native. | Technology |
Limited to no development plans. | Limited to no development plans. | Major development plans, innovation is required. | Major development plans, innovation is required. | Future plans |
Leave on-premises to keep using as SaaS, potentially lift-and-shift by VMs with the least priority. | Lift-and-shift by VMs, or lift-and-shift with deployment automation modernization. | Modernize, migrate to containers and cloud-native technology stack. | Replatform to modern microservices architecture and cloud-native technology stack. | Migration plan |
A legacy system that uses a non-cloud native technology stack and needs heavy modernization or replatforming. | A legacy service or application that uses a non-cloud native technology stack and needs heavy modernization or replatforming. | Service or application outside of containers, using non-cloud native persistence layer (DB). | A modern service or application currently hosted in containers, using a non-cloud native persistence layer (DB). | A modern service or application currently hosted in containers and using a cloud-native technology stack, with a small set of integrations. | What |
Analyze and decompose into XS-L applications. | Replatform or migrate to a modern technology stack and k8s, replace DB with cloud-native DB, deploy in the cloud, and test. | Migrate to containers, replace DB with cloud-native DB, deploy in the cloud, and test. | Replace DB with cloud-native DB, move to k8s, and test. | Move to cloud k8s and test. | Plan |
12 weeks | 8 weeks | 4 weeks | 2 weeks | Timeline |
Cloud migration journey
Get to the cloud faster with Grid Dynamics accelerators
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We bring more than 10 years of experience in migrating Fortune-1000 enterprises from on-premise environments to the cloud while modernizing applications from legacy monoliths to microservices architectures. We achieved a 10x speed to market and efficiency increase by implementing open-source-based cloud-native technology.
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Accelerate the cloud journey with Grid Dynamics
We provide flexible engagement options to plan and execute cloud migration at the enterprise scale. While keeping the focus on application modernization, advanced analytics, AI, DevOps, and MLOps, we help companies move quickly by providing fast lift-and-shift services followed by deep modernization. Clients take advantage of our accelerators to increase their speed to market and reduce overall risk. Contact us today to start with a workshop, discovery, or PoC.
If you want to move to the cloud, but aren’t sure where to start, we recommend a 2 to 3 week discovery phase where we can take a deeper look at the current application and analytics stack, design your solution, and build out the optimum roadmap.
If you have already identified a specific use case for cloud migration, we can start off with a 4 to 8 week proof-of-concept project to deliver tangible results for your company.
We offer free half-day workshops with our top experts in cloud, microservices, data, and DevOps to discuss your cloud migration strategy, opportunities, and industry best practices.
We offer free demos of our accelerators. As a part of a demo, we will share our point of view on the most effective and efficient cloud migration strategies and discuss case studies from Fortune-1000 clients.