Cloud Design Pattern

Today, many organizations are struggling to build cloud-native applications because lack of technical skills and solutions expertise that can make the Design process standardized. Design Patterns help Cloud Architects to make reusable solutions to most commonly occurs problems and Govern the cloud-native applications across the organizations.

Companies do not consider Design Patterns until they reach a certain scale, while there are a number of Design patterns to choose from, one of the biggest challenges of doing so is dealing with scale when it becomes necessary.

Cloud Adaption is growing at a faster speed cause of scalability and flexibility, there are a number of design patterns that can make any cloud-based application more scalable, fault-tolerant, and resistant to resolving the problems that often come from increasing the traffic load.

Challenges in Cloud Development.

1) Data Management.

Data Management is one of the challenge as data is crucial for each organization. Data can be spread across multiple regions which can lead to the performance, scalability, or availability of the applications. Typically, Data consistency must be maintained, and Data needs to be synchronized across different regions and locations.

Additionally, data should be protected at rest, in transit, and via authorized access mechanisms to maintain security assurances of confidentiality, integrity, and availability.

2) Design and Implementation.

Good Design cab leads to applications being consistent and resilient throughout the application life cycle. It can reduce the overhead and overall efforts by standardized application development. Whereas good Implementation leads to good application security and simplifies administration and development. Decision made during the design and implementation phase has a huge impact on the quality of and the total cost of ownership of cloud-hosted applications and services.

3) Messaging.

The distributed nature of cloud applications requires a messaging infrastructure that connects the components and services, ideally in a loosely coupled manner in order to maximize scalability. Asynchronous messaging is widely used and provides many benefits, but also brings challenges such as the ordering of messages, poison message management, idempotency, and more.

4) Performance Challenges.

Performance is an important factor when considering cloud-based solutions. If the performance of the cloud is not satisfactory, it can drive away users and decrease profits. Even a little latency while loading an app or a web page can result in a huge drop in the percentage of users. This latency can be a product of inefficient load balancing, which means that the server cannot efficiently split the incoming traffic so as to provide the best user experience. Challenges also arise in the case of fault tolerance, which means the operations continue as required even when one or more of the components fail.

5) Interoperability and Flexibility

?When an organization uses a specific cloud service provider and wants to switch to another cloud-based solution, it often turns up to be a tedious procedure since applications written for one cloud with the application stack are required to be re-written for the other cloud. There is a lack of flexibility from switching from one cloud to another due to the complexities involved. Handling data movement, setting up the security from scratch and network also add up to the issues encountered when changing cloud solutions, thereby reducing flexibility.

6) High Dependence on Network

Since cloud computing deals with provisioning resources in real-time, it deals with enormous amounts of data transfer to and from the servers. This is only made possible due to the availability of the high-speed network. Although these data and resources are exchanged over the network, this can prove to be highly vulnerable in case of limited bandwidth or cases when there is a sudden outage. Even when the enterprises can cut their hardware costs, they need to ensure that the internet bandwidth is high as well as there are zero network outages, or else it can result in a potential business loss. It is therefore a major challenge for smaller enterprises that have to maintain network bandwidth that comes with a high cost.

Below are the Cloud Design Patterns that help to solve the Challenges, the list is too long.

Cloud Design Patterns

1.?????GateKeeper Pattern.

Protect applications and services by using a dedicated host instance that acts as a broker between clients and the application or service, validates and sanitizes requests, and passes requests and data between them.

2.?????Gateway Aggregation Pattern.

Use a gateway to aggregate multiple individual requests into a single request.

3.?????Gateway Offloading Pattern.

Offload shared or specialized service functionality to a gateway proxy.

4.?????Gateway Routing Pattern.

Route requests to multiple services using a single endpoint.

5.?????Priority Queue Pattern.

Prioritize requests sent to services so that requests with a higher priority are received and processed more quickly than those with a lower priority.

6.?????Publisher-Subscriber Pattern.

Enable an application to announce events to multiple interested consumers asynchronously, without coupling the senders to the receivers.

7.?????Queue-Based Load Leveling Pattern.

Use a queue that acts as a buffer between a task and a service that it invokes in order to smooth intermittent heavy loads.

8.?????Asynchronous Request-Reply Pattern.

Decouple backend processing from a frontend host, where backend processing needs to be asynchronous, but the frontend still needs a clear response.

9.?????Bulkhead Pattern.

Isolate elements of an application into pools so that if one fails, the others will continue to function.

10.?Retry Pattern.

Enable an application to handle anticipated, temporary failures when it tries to connect to a service or network resource by transparently retrying an operation that's previously failed.

11.?Static Content Hosting Pattern

Deploy static content to a cloud-based storage service that can deliver them directly to the client.

12.?Claim-Check Pattern.

Split a large message into a claim check and a payload to avoid overwhelming a message bus.

13.??Ambassador Pattern.

Create helper services that send network requests on behalf of consumer service or application.

14.?Anti-corruption Layer Pattern.

Implement a fa?ade or adapter layer between a modern application and a legacy system.

15.?Backends-For-Frontends Pattern.

Create separate backend services to be consumed by specific frontend applications or interfaces.

16.?Sidecar Pattern.

Deploy components of an application into a separate process or container to provide isolation and encapsulation.

17.?Throttling Pattern.

Control the consumption of resources used by an instance of an application, an individual tenant, or an entire service.

18.?Federated Identity Pattern.

Delegate authentication to an external identity provider.

19.?Geode Pattern.

Deploy backend services into a set of geographical nodes, each of which can service any client request in any region.

20.?External Configuration Store Pattern.

Move configuration information out of the application deployment package to a centralized location.

21.?Choreography Pattern.

Let each service decide when and how a business operation is processed, instead of depending on a central orchestrator.

22.?Cache-Aside Pattern

Load data on demand into a cache from a data store.

23.?Compensating Transactions Pattern.

Undo the work performed by a series of steps, which together define an eventually consistent operation.

24.?CQRS Pattern.

Segregate operations that read data from operations that update data by using separate interfaces.

Conclusion

Design patterns offer guidance and provide best practice solutions to the common problems faced during designing cloud-hosted applications. Cloud Design Patterns are rich in useful content; therefore, foundational knowledge of the design patterns will help you to design and build modern cloud-based applications seamlessly and with precision.