Cost-optimization
Prorata model is just the start while to leverage the best of cloud cost-optimzation strategies are a must. Just a few changes here and there can save your a fortune!
Gartner analyses cloud computing to be rapidly proliferating IT
enterprises and the trend is estimated to grow even in the aftermath of COVID-19.
KloudKraft specializes in optimizing your cloud adoption strategy for smooth and
downtime-less migration to cloud. We would be excited to discuss your project case and
design best in class solution plan!
Have a look at our suite of services too!
Our most sought out services are
Prorata model is just the start while to leverage the best of cloud cost-optimzation strategies are a must. Just a few changes here and there can save your a fortune!
Cloud migration often involves lift and shift approach however including cloud based PaaS & Saas tier services provide added advantages like scalability and resiliency.
Getting you team acquainted with and building Skill sets for maintaining a provisioned cloud infrastructure is equally important for resolving regular conflicts.
Data has always held the potential of deciding x-factor for multi-million dollar businesses. We have exposure to the largest data-resources yet and you can deduce almost anything with correct data investigation.
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Recognized as an industry leader by Gartner for last ten consecutive years, AWS is a force to be reckoned with for the uninitited in cloud domain. It has wide range of services for even the simplest of scenario implementations.
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Starting with a simple search engine, Google has always resolved leading industry problems creating techs solutions. May it be mapreduce paradigm or quantum computing we all know when it comes to data Google is the best!
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With the emergence of multiple industry leaders in cloud segment a crucial skillset is optimizing the best service components of various cloud platforms and making them work together in harmony in a multi-cloud architecture!
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Current data analysis practices need to be heavily rectified. Furthermore, implementing models to rich datasets can save time & generate predictions which are often counterintuitive making ML more interesting!
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