of enterprise IT infrastructure and software will be cloud-based by the end of 2020.
of all databases will be deployed or migrated to a cloud by 2022, according to Gartner.
of companies report operation improvements within the first few months of adopting cloud.
Redington’s Cloud Readiness assessment tool involves an overarching process that helps you discover and identify your IT infrastructure & applications that can be moved to the cloud smoothly, based on the data collected and then analyzed.
Reduce cloud deployment costs. Identify reclamation cost savings.
Easily understand the cost of your existing IT infrastructure & quickly assess business spending
Understand the process to introduce cloud services into your IT portfolio
Establish IT as strategic business partner by sharing actual costs with line-of-business leaders.
- ERP application
- Web-internet application
- Web-intranet application
- Client server application
- Standalone application
- Desktop application
- Batch processing
- Packaged application
- Integration application
- Mobile application
- SCM application
While migrating to cloud - you may be concerned about the risk of downtime as well as the cost. You need to be sure you’re using a time-tested, structured approach to cloud migration, as well as established tools and technology designed to simplify the process, saving you time and money. We make sure your migration is hassle-free and in coordinated manner.
Monitoring changing costs is critical. Figuring out how much you might be able to save and what will be your cost reduction after migrating to cloud, helps you analyze the true value you get with cloud computing.
We can help you discover accurate value from the solution by providing you with credits to support a Proof-of-Concept (POC).
Java, PHP, Python, Android, iOS mobile app development, MySQL, Oracle, SQL Server, NoS QL
Docker, Kubernetes, Ansible, Chef / Puppet, Openshift (RHEL), Vagrant, Jenkins
AWS consulting, SAP on Cloud Managed services, Hybrid cloud DR solutions
IoT Solutions, Bigdata (Hadoop, Spark, Hive), AI, Analytics (Talend ETL, Tableau)