Engineers want to innovate, fix issues, and improve existing code. Finance wants to report accurately on the company's return on technology investment. Yet, the cloud is like a menu without the pricing Engineers can practice continuous improvement without slowing down but they can also use up computing resources without being fully aware of the costs they incur, only to be surprised with a higher than usual AWS bill. Even worse is not knowing where, what, when, or who is driving up their AWS costs.

To enjoy the cost and efficiency advantages of multi-cloud services while also protecting data, avoiding vendor lock-in, and setting the foundation for a smooth future development trajectory, businesses are quickly expanding their business models towards multi-cloud technologies. In this blog let’s explore the top ten benefits of multi-cloud strategy and know why you should have a multi-cloud strategy

This is the fourth (and second-last) part of our FinOps series - Optimize. Here is a list of posts in the series: Note: I am ex-AWS, so you will notice a lot more focus on AWS tools and services as examples here, however all cloud providers have similar services and tools.

Google Cloud has announced a public preview of their new Spot VMs, and is partnering with Spot by NetApp to help users benefit from the cloud provider’s excess compute capacity. Spot VMs will enhance Google’s current offering of spare capacity, Preemptible VMs, and will give customers even more savings with fewer restrictions. Paired with Spot by NetApp, users will have cost-efficient, automated and optimized cloud infrastructure.

Cloud adoption has got a tremendous uptrend as never before. The World pandemic has made startups, and enterprises move their legacy systems into Cloud to cut huge infrastructure maintenance costs. According to Gartner, cloud spending is forecasted to increase 23.1% at $332.3 billion in 2021 from $270 billion in 2020. We can even see enterprises using BizTalk servers moving to the Azure Cloud for better maintenance and features that confirm the above forecast.

Moving your database to the cloud using a PaaS option such as Azure SQL Database or Azure SQL Managed Instance reduces the maintenance overhead required from the database administrator (DBA). The DBA no longer must worry about managing backups or configuring high availability, for example. That said, the DBA still needs to tune the database’s performance and monitor SQL workloads. The Azure Portal offers several services to quickly identify performance issues for Azure SQL Databases.