GigaOM
HYBRID CLOUD what they want to around scale . Capacity planning will be a thing of the past .
Tom Christensen , Global Technology Advisor and Executive Analyst at Hitachi Vantara , says that the demand for innovation amid the pandemic has resulted in many organisations experiencing the urgency to containerize their legacy applications to stay competitive .
“ There are several reasons why serverless cloud and its ‘ pay as you go ’ approach is favoured by many Chief Information Officers ( CIOs ). Throughout the pandemic , there has been extensive pressure on CIOs to create applications much faster than they have done in the past . To address their business goals in their current state and as they evolve over time , CIOs need the best infrastructure choice for every workload , with the ability to leverage on-premises interchangeably with public cloud services . This is exactly what a serverless cloud can offer .” rebalancing the data , and scaling up and down becomes easier — and faster . This has opened the door for truly “ serverless ” database services , according to Christensen , where data is stored separately from computers .
“ One particular drawback of serverless is the cost of running in the public cloud . While it may be cost-effective in the long run , many organisations are first required to pay an upfront cost , while also investing in the time and effort taken to upskill the workforce needed to manage their applications .”
“ Even for advanced cloud users – i . e ., the organisations that have used cloud for some
Drawbacks of serverless Craig Kitterman , VP Product Management at DataStax , remarks that companies and developers have been looking to adopt serverless architecture for its ease of deployment and reduced cost , but only a few organisations truly know exactly how many servers they ’ ll require to handle their database needs for any given period of time .
“ For most large enterprises whose success depends upon flows of multiple terabytes of data in often unpredictable surges , this is rarely the case . Capacity planning is a guessing game , especially when an organisation ’ s lifeblood is real-time , streaming data that enables it to perform real-time analysis to deliver rich and engaging interactions to users .
With storage that ’ s connected via the network , and thus decoupled from compute , scaling a database no longer requires
GigaOM
According to GigaOM , running open source database Apache Cassandra in a serverless deployment worked out as 75 % less expensive than self-managed Cassandra . When GigaOM tested running this , they found serverless Cassandra to have 95 % fewer production costs , three times less migration complexity , and 22 % lower infrastructure costs than it would take to manage a Cassandra cluster in the cloud .