Cloud cost optimization: Experience tells us that costs reduction and predictability are the main advantages pointed out by IT managers and business leaders when making the decision of switching to the cloud. On average, organizations know they can save 14% just by moving to cloud IaaS, therefore they look for the most efficient method to install, maintain and update their cloud services expecting a significant cost reduction. So why doesn´t this happen? If Cloud migration should increase operational competitiveness and savings, why do so many companies see their costs increasing without really understand how or why it´s happening?
In this case, the study that was exactly what happened to our client a service group that migrated more than 20 assets to the cloud across ~50 accounts. Post-migration, the client cloud hosting costs increased significantly. The client’s leadership team wanted to understand what we could do to better manage cloud spend. A core team was created to develop cost reduction strategies and implementing plans to lower the overall OpEx without compromising teams’ agility and productivity as well as the quality of the service provided
By implementing cost optimization measures, we reduced the client’s monthly cloud hosting spend by 50%, improved margins, and enabled better forecasting.
With the flexibility that AWS provides and its usage-based cost structure, the client’s OpEx built up quickly. The monthly costs increased 40% compared to costs prior to migration due to several factors: lack of understanding our main cost drivers, lack of tools to monitor usage/cost trends and lack or proactive measures to control costs.
Step by step, working closely with the client, TasksGrid identified the areas for optimization, developed and implemented a roadmap with clear and real-time data measurement metrics. With business necessities fully identify we were able to align it with the cost reduction plan presented and achieve important efficiency gains.
TasksGrid Cloud Cost Optimization approach was crucial to identify the proper metrics to measure and control cloud usage spend. The team conducted an extensive evaluation of current state assets architecture, cloud services provisioned,
historical usage, and cost trends to identify areas of optimization and elaborate a final and more efficient roadmap for the client to implement.
Taking advantage of Tasks Grid´s Cloud Cost Optimization expertise, the following results were delivered to the client: