The Enteros Guide to Cloud Adoption Planning is now available.

Introducing the Enteros Guide to Planning Your Cloud Adoption

For contemporary software firms, cloud computing has become one of the most significant strategic goals. Companies are working hard to transition their infrastructure and applications to public cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure Cloud, promising enhanced agility and velocity in mind. 

Are they receiving the desired outcomes? According to Info world, one out of every three cloud projects will fail in 2018. We believe that a few hours of instrumentation can save weeks—or months—of work and cost in cloud adoption, potentially determining the success or failure of the project. 

You can’t wait until you’re in the cloud to start monitoring; the sooner you start, the faster your migration will proceed and the more likely you’ll be successful. Every stage of your cloud migration is covered in depth in our Guide to Planning Your Cloud Adoption Strategy. Some of the high-level lessons from these tutorials are shared in this blog article. 

​A three-step cloud migration strategy 

Cloud migration is usually divided into three stages: 

• Plan
• Migrate
• Run 

Each phase has its own set of steps and, in certain circumstances, measurement methodologies. To address each stage, we’ve prepared tutorials. Let’s look at each phase in much more context. 

Phase 1: Make a plan. 

Prepare application baselines, define application dependencies, and prioritize the migration sequence of your apps during the Plan phase. 

1. Establish application benchmarks. 

Before adopting cloud computing, you must first establish a baseline, which measures your application’s existing performance and availability. This baseline allows you to compare the performance and availability of the same application before and after your migration. You’ll utilise this baseline to determine operational parity for your cloud-based applications at critical points along your journey. In this tutorial, you’ll develop Insights dashboards to track KPIs and define a baseline for your application. 

The following KPIs were monitored: % of availability, average length, page load time, throughput, web transaction time, CPU percentage, average load, memory used rate, reaction time, and Apdex. 

2. Determine the application’s inventory and dependencies. 

When considering a cloud migration, it’s critical to assess your present on-premise architecture and determine the scope of your conversion. You limit the risk of missing dependencies during the transfer by thoroughly understanding your apps, hosts, and architecture. 

3. Decide on a migration order that is most important to you. 

Please verify that your applications and their underlying server infrastructures are eligible for migration before moving them to the cloud. You’ll instrument every layer of your application in this course to create a targeted cloud migration priority list. 

Migrate in the second phase. 

Identify concerns and impediments, validate cloud improvements, and execute acceptance testing of your moved applications during the Migrate phase. 

4. Identify challenges and potential stumbling hurdles 

​You want to catch and address any unexpected behaviour or outcomes as soon as feasible as you migrate your applications to the cloud. It’s vital to detect problems and issues connected to your new cloud architecture, performance, and scale—having the correct information at the right time might mean the difference between success and failure. 

The following KPIs were monitored: % off availability, average length, page load time, throughput, web transaction time, CPU percentage, average load, memory used rate, reaction time, and Apdex. 

5. Verify cloud enhancements 

One of the key reasons you’ve chosen to migrate to the cloud is to take advantage of cloud services that help your applications perform better. In this article, you’ll learn how to collect new baseline data following migration and how to create dashboard widgets to measure your progress. 

Apdex, duration, transaction time, cloud expense, HTTP response time, and faults were all tracked as KPIs. 

6. Conduct acceptance tests 

In this tutorial, you’ll compare your original on-premise baselines to the new baselines you created in step 5 and develop dashboards that compare the two baselines for each application you migrated. By comparing these baselines, you should demonstrate that your migration was successful. By comparing these baselines, you should verify that your migration was successful. This is among the most crucial steps in the cloud process of migration. 

The following KPIs were moni​tored: % off availability, average duration, page load time, throughput, web transaction time, throughput, Apdex, CPU percentage, average load, memory used rate, and response time. 

Run in the third phase. 

​In the Run phase, you’ll monitor the services that support your apps, minimise your cloud cost, rework your apps as needed, and optimise your apps to give your customers the best possible experience.

7. Keep an eye on your cloud services. 

Once you’ve made a move to the cloud, you’ll want to keep an eye on the cloud services you’re using for your applications and infrastructure to avoid any unexpected use issues or errors. In this course, you’ll learn how to monitor, query, and alert consumption metrics and problems in your cloud environment, including services in various regions and availability zones.

8. Make the most of your cloud spending 

Now that you’re using fog services and infrastructure, it’s essential to start tracking your cloud expenditure early and thoroughly. You want to make sure that your cloud expenditure assumptions are correct and that you can detect and correct any unexpected spending increases. You may then start fine-tuning your cloud-based resource utilisation from there. Developers, operators, and executives may benefit from this course, which teaches them how to better manage their cloud spending, from choosing the most efficient resources to correctly setting services and making better business decisions.

9. Refactor your application. 

You’ll reformat s new cloud-based applications as needed in this lesson. Splitting your components into various services available from your cloud provider is an integral part of restructuring your software. You might, for example, migrate your database component from a typical MySQL database to a cloud-hosted solution, such as Amazon Relational Database (RDS) services like DynamoDB. After refactoring, you should observe a reduction in your cloud spending.

10. Make the consumer experience better
Finally, you’ve completed your planning phases, identified your dependencies, conducted acceptance testing, and begun fine-tuning your cloud budget, and everything appears to be in order. However, there are still some significant concerns: What is your customer’s opinion of your service? Was there an improvement in the performance of your frontend applications, or did it stay the same? In this last session, you’ll design an Insights dashboard that displays the current state of metrics linked to your customer experience.

The following KPIs were monitored: percentage of availability, average duration, page load time, throughput, Apdex, and reaction time.

The cloud is waiting for your arrival. Are you prepared to move to the cloud adoption?
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You are, without a doubt, because we have you covered. Learn how to speed your planning and migration while delivering a delightful customer experience by reading our Guide to Preparing Your Cloud Migration Strategy.

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.