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Lift-and-shift cloud migration – Hear from AWS experts
Lift-and-shift cloud migration – Hear from AWS experts
AWS Solutions Architects discuss success stories in cloud migration
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From building your product to getting to the market first, leave it to the experts. Get the best of Excellarate's product engineering expertise combined with advanced AWS market-proven cloud offerings.
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Appian’s Low-Code Platforms – All you need to know
Explore use cases and real-life case studies of Appian’s low-code platform
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How to make fixed bid projects thrive in Agile environment?
Product Development expert shares tips to make fix bid projects work in agile
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Cloud Native SaaS
As on-premise solutions are becoming a thing of the past, customers seek comprehensive, cost-effective, and fast experiences with the cloud. The fast and scalable nature of the AWS cloud combined with Excellarate’s expertise and experience in solving complex problems, gives you the power to be flexible, reducing cost and risk.
Cloud Migration
Customers often choose to migrate their existing software from private data centers to AWS. Excellarate’s meticulous architecture assessments and methodological frameworks aid in mitigating the pitfalls of a lift-and-shift move and reduce total cost of ownership.
DevOps
A delivery model that emphasizes DevOps facilitates the automation of infrastructure processes by implementing habitual integration and lean approval cycles. As we move towards fully automated CICD pipelines, Excellarate’s culture of collaboration between development and operations fills technical skill gaps and accelerates time-to-value. Champion upcoming trends in technology such as Serverless and Infrastructure-as-code with our high-performance, innovative teams structure.
Advance Data & Analytics
Data is powerful, and its potential is limitless if utilized properly. AWS can host vital business analytics, delivering robust business intelligence. Gain a vital competitive edge by making informed decisions on up-to-the-minute data. Use Excellarate’s vast experience in Big Data to holistically gather, store, and interpret a plethora of data types.
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