In the past, cloud computing has evolved a lot, cutting across the demand for devices, storage, servers, networks, security, architecture etc. The Internet of Everything, increased cloud services, storage capacity, security challenges. It tells the entire story of how the cloud is transforming the future. The cloud computing at present is utterly different from what it was a few years ago, and it will be much more evolved in a few years from now.
There are numerous advantages of the inherent strengths of cloud computing. All it requires is a well thought out architecture design. A sorted design of cloud architecture forms the backbone of your cloud, which starts with smart decisions. Building an effective cloud strategy today might save you from the hassles in the coming times.
Let’s look at seven best practices to design a cloud infrastructure.
#1 Planning Proactively
Always follow a theory that your hardware will fail at any time. You should be prepared with a mechanism to deal with unknown catastrophes before it strikes you.
Don’t guess your capacity “ Eliminate decision such as – guessing your capacity, because a wrong prediction might result in inexpensive resources to deal with performance implications of limited capacity.
Test systems at production scale “ Cloud gives you the elasticity to create a production-scale test environment to test the systems, and you may de-provision the resource once you’re done.
Automate “ Automation lowers the risk of design changes. With Automation, you can create and replicate systems resulting in a dynamic architecture.
Data-driven “ With this approach, you can make choices. In the cloud, you can collect data on the behavior of your application needs and identify what’s best.
#2 Performance Efficiency
Designing an environment with the right platform and in the right way can help you achieve impeccable performance benefits. The primary question that arises is – how efficiently can you manage your compute resources to meet your requirements?
Use Latest Technologies “ Build your services and applications on an evolved platform. Templates and High-performance environment can give you benefits of a better performing cloud.
Right-sized “ Select the right services and examine your environment based on what services are best appropriate to match your demands.
Listen to your application “ A cloud service you chose yesterday might not be the best today based on your budding requirements. It is very significant to identify your applications resource requirements like – RAM, CPU, storage and more. If your application is I/O intensive, then you should have the most suitable storage solution.
#3 Optimizing Costs
The rising competition in the market could encumber the ability to grow. To cope up with this environment – businesses need to optimize their spend and performance. With cloud cost optimization strategies, you can reduce your cost to a minimum and use savings to serve your business. Here’s the system that allows you to achieve advantages, giving the best results to your business.
Use Managed Services “ Escalate the operational burden of maintenance and management of the infrastructure by availing services of a cloud-managed service provider. This will help you to come up with an efficient architecture while lowering the cost of ownership.
Functionality model “ Attribute expense to the cloud resources and functionality, which is very beneficial while dropping the services or replacing it with better alternates.
#4 Multi-Cloud Approach
The multi-cloud strategy allows you to migrate to other clouds and/or run the services balanced between two or more clouds. By planning out a multi-cloud strategy, you have the complete elasticity to achieve the best price to performance ratio without compromising the interoperability and functionality.
#5 Leverage Different Storage Options
Cloud architecture includes a wide array of storage choices for “ backup, archiving, and disaster recovery. There are different storage such as “ block, object, and file storage) for several use cases. Your use cases and workload should help you decide what storage option to leverage in the cloud. One size fits all’ is not an option here, meaning no single storage option fits all situations. It is very significant from cost, performance, and functional perspective to leverage different cloud storage options, for different types of datasets.
#6 Reliability
Before constructing a house, always ensure that the foundation is reliable; similarly, before architecting your cloud, you should follow best practices. Your system should’ve the ability to recover from an outage and dynamicity to meet demands. Your system should be technically apt to work in every scenario.
Think of how you can recover from failure “ You can opt to design an automated recovery process and anticipate breakdowns. You should always be aware of how failures can take place and how to respond.
Design a highly available architecture “ Never share a common point of failure and set up a redundant architecture to avoid downtime.
Follow processes “ Always create a procedure to make any changes in monolithic architectures covering changes in demand, monitoring resources and executing.
#7 Implementing Parallelization
The cloud leverages you to manage massively parallel operations. Apply the concept of parallelization at every step of designing the cloud architecture such as – processing data in the cloud and requesting data from the cloud. Automation of parallelization, along with its implementation, will generate a repeatable process in the cloud.
Conclusion
So, these are some of the common best practices that you can follow to design and architect your cloud applications and database. Each business is unique and thus require expertise in designing and maintain the cloud.
