Migrating to the Cloud
But, with all the enthusiasm, it’s easy for important details to get missed, so we asked cloud specialists (from product managers to cloud evangelists) for their perspectives on the necessities of an enterprise cloud migration that are often overlooked. Here are some of their observations:
1. Cloud migration is straightforward; digital transformation is more complicated.
Cloud migration entails moving data from bare-metal virtual machines to cloud instances at its most fundamental level. While you may realize some initial cost savings, the main path to modern software efficiency does not begin until you reach the cloud. The underlying goal is to use cloud services to speed up development, allow teams to manage infrastructure more autonomously, and eventually improve customer satisfaction. Early and thorough monitoring is critical for a successful digital transformation, as this is when you will see the full benefits of migrating to the cloud.
2. Cloud migration is a cultural shift as well.
For many businesses, a successful cloud migration necessitates a cultural shift that is even more significant than technological adjustments. You won’t realize the productivity improvements you want if you maintain using the same development technique after your move but only do it “in the cloud.” According to AWS principal John Enoch, as reported in Forbes, “those firms with a business plan and can communicate together as teams produce outstanding results, and those who can’t don’t.”
3. The chicken and the egg, or cloud and DevOps
One of the most prevalent motivations for businesses to migrate to the cloud is to aid in the implementation of DevOps principles. One of the most pervasive reasons firms adopt DevOps principles is to help in their cloud migration. Meet the chicken and the egg. Or maybe chocolate and peanut butter are a match made in heaven.
4. The balance of speed and stability might be challenging to achieve.
One of the significant benefits of the cloud is the ability to deploy resources more quickly and flexibly to meet real-time demands. It can help save money on underutilized infrastructure while also alleviating the short-term pain of waiting for servers for developers. Smaller, less comprehensive, more frequent deployments, when properly managed, can be more stable. However, poorly managed deployments with short lead times might cause havoc. Companies must implement systems to manage and maximize the tension between speed and stability in cloud settings. That involves guaranteeing parity across staging and production systems, validating all changes properly, adding current deployment tactics like blue/green and canary deployments, and enhanced monitoring mechanisms.
When choosing a vendor to assist you in monitoring cloud apps, be sure it provides code-level visibility. Why? Customers are being pushed to integrate “infrastructure as code” into their applications by public cloud vendors. As a result, a high level of visibility into applications for measuring the health and cost of infrastructure is becoming increasingly crucial. Infrastructure measurements are essential, but they are insufficient for the future.
6. You must be aware of the six R’s of cloud migration.
What aspects should you consider when determining whether to lift and shift an application to the cloud or refactor it to employ cloud-only features? What is the solution? It is debatable. On a case-by-case basis, consider each of the six Rs of cloud migration strategy (rehost, replatform, repurchase, refactor, retire, and retain). If your team is having problems keeping its database servers up to date, you might consider refactoring to a cloud database as a service offering. It may lessen the need for database server maintenance, patching, and other tasks.
7. There are plenty of excellent cloud migration tools available.
It doesn’t have to take a leap of faith to move to the cloud. There are just a lot of devices to assist you in planning, locating, and tracking every part of your move. Take inventory, create a pre-migration business case, assess migration readiness, plan the actual movement of workloads and data, and verify that the migration was successful using these tools.
8. Metrics on consumption are insufficient
When enterprises migrate applications to the cloud, they frequently focus solely on infrastructure consumption data (CPU utilization, disk I/O, and so on) and ignore end-user experience metrics (response time, error rate, and so on) that reveal how the application is genuinely working. It’s difficult to say if the migration was “successful” or not because of this. You must look at app performance and cloud infrastructure health to assess the results of a move.
9. Proper pre-migration instrumentation can help you save a lot of money.
Must include instrumentation as early as possible in cost-effective cloud migration. According to a study, installing correct instrumentation before beginning your move can save you anywhere from 16 to 25% of the total migration expenditures. Cloud migrations can take significantly longer than intended because it’s impossible to prove operational parity after a cloud transfer without pre-migration benchmarking.
Spending 48 hours instrumenting your systems before a cloud migration can save you three months or more.
10. Capital vs. Operating Expenses
Not the technical but the financial aspects of migrating from on-premise to cloud-based applications are often overlooked. Both methods employ very different expense models. On-premise infrastructure costs are generally classified as capital expenditures (CapEx), whereas cloud service costs are usually operating expenses (OpEx). Although the difference in the overall impact on the bottom line is generally insignificant, it can be significant to the CFO and accountants. They must ensure that the numbers are correct.
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
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