Google Cloud Platform (GCP), offered by Google, combines a cloud computing infrastructure, a development platform, and turn-key cloud services, enabling organizations to run a wide range of applications in the cloud. Whether it's simply moving on-premise data centers to the cloud for greater cost efficiency or taking advantage of modern cloud-native solutions, any company can use GCP to find their perfect cloud migration strategy.
What makes GCP stand out among other large cloud providers? First and foremost, it’s Google’s strong vision for AI-enabled innovations powering cloud computing infrastructures and business applications. They offer a constantly growing ecosystem of solutions for Big Data analytics, AI, and ML that can be tightly integrated with the rest of GCP. It is also their cost-effective flexible pricing, great service level agreements, and a wide network of solution integration partners.
With CyberVision, migration to GCP is a straightforward process that takes your company from A to Z in the shortest amount of time. We follow Google’s defined methodology for transfering infrastructure, applications, and data to avoid any disruption to your business operations. We also participate in annual Google Cloud events and continuously improve our skills in the latest GCP-based solutions. Our Google certified engineers can handle the entire migration project from scratch or augment your company’s team to speed up delivery of an ongoing project.
Migration to GCP:
Big Data analytics
Big Data analytics
Reduce business costs with flexible, on-demand cloud computing resources
Scale up easily when you need to, eliminate overprovisioning
Focus on business challenges, not infrastructure issues
Take advantage of modern managed services from Google (BigQuery, CDF, etc.)
Move from inefficient legacy architectures to reliable and secure cloud-native solutions
Leverage the experience of our Google-certified engineers
Leverage our full-stack enterprise software development expertise, DevOps, and system support services
GCP is a leading platform for artificial intelligence and machine learning applications. While many other cloud technology players are still focused primarily on traditional business applications, Google’s #1 priority is to create a new breed of enterprise applications powered by Machine Learning and AI. In that way, Google capitalizes on its broad expertise in cutting-edge technology to offer more value than its competitors.
One example of Google’s growing ecosystem of innovative cloud apps is Cloud Data Fusion, launched in 2019. It is a fully managed, cloud-native data integration service that helps users build and manage ETL/ELT data pipelines via an intuitive graphical UI that almost totally eliminates the need for coding. CyberVision has already used this new tool for a large-scale Telecom Big Data project and it proved to be of great help for data engineers, business analysts, and project managers.
What makes Google Cloud Platform stand out from other cloud service providers is its clear focus on analytics and AI in the cloud. With GCP, you can actually connect all your data sources to Google cloud and take advantage of its end-to-end BI, analytics, and data visualization tools.
Google Cloud Platform offers one of the best platforms for Internet of Things device management and analytics. You can use it to connect remote devices to the cloud, monitor real-time telemetry, set up alerts and notifications.
Google Cloud Platform is also one of the most cost-efficient choices for cloud-based data warehousing and cloud computing. It has a very competitive pricing strategy and offers great SLAs on its infrastructure.
Map out strategy
Access resources. Define roles.
Plan and prioritize
Design the process in detail. Generate documentation. Prepare the roll-back plan.
Deploy. Migrate. Scale. Verify data, DB functions and procedures.
Test and validate
Test performance metrics. Monitor real-time changes.
Check the interactions between applications and the new DB. Update.