Cloud Native Application Testing

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Cloud Native Application Testing

Introduction

Cloud Native application refers to a program that is designed for cloud computing architecture. It supports and follows the concepts of DevOps. Cloud native applications operate in a dynamic, flexible, and shared environment. Based on the demand the application can be scaled up or down which has a positive impact on the cost. Their agile nature helps on quick deployment. Cloud-native applications are portable, offer high scalability, and can be modified as per requirement, all of which can be performed without changing the code. 

Definition

Cloud native application Testing – Testing each component individually as well as end-end workflow.

 

Cloud Native
Application
Testing - The
Thoughtframeworks way!

We focus on the three pillars of Cloud Native Testing in the Software Development Life Cycle.

  1. Cultural change from silos to proper DevOps

The goal of DevOps is to get everyone to work in unison by working on the same tools and set priorities. DevOps is required to practice cloud-native, even though it is not necessary to run the applications in the cloud to be cloud-native.

  1. Technical change which relates to the way an application is built

For example moving from Monolith to microservices.

  1. Organizational change - A Collaborative effort to achieve the goal

Delivering business action items in a breeze - since there is a faster feedback loop between developers and end users resulting in quick delivery of software application development

Cloud-Native Application Testing

Cloud-Native technologies comprises a distinct series of steps which lay the foundation for managing a container-based, fault-tolerant environment that enables speed and resiliency to be deployed across all types of services.

To demonstrate resilience every organisation is developing alternatives this effort has resulted in a faster digital transition. As a result, cloud adoption and cloud-native application development are on the rise, which is likely to help accelerate the process. With increasing customer demand, cloud technologies have proven to be critical in providing enterprises with resiliency. It gives them the ability to be flexible and scale up or down on demand.

The Importance of Cloud-Native Application Testing

Cloud testing is critical for handling the challenges of cloud native applications. However, it has been demonstrated that deployment models, service models, and other key characteristics of cloud computing can have a significant impact on cloud testing approach or strategy. Other non-functional aspects that should be addressed by the testing teams include performance, security, compatibility, environment management, integration with various interfaces, user experience, and much more. Embracing Cloud-native approach enhances DevOps in Software Development Life Cycle by including agile practices for cloud development and it can be based on cloud-native infrastructure.

What happens when you don’t do Cloud-Native Application Testing

A Cloud Native Application has numerous points of failure due to a large number of moving components, which are loosely coupled. Failures can occur for a number of reasons and can impact the business in the following ways -

  1. Releases are delayed or slow.
  2. Infrastructure management is a challenge.
  3. Cost of Infrastructure Increase.
  4. The System's Reliability is Affected.
  5. Issues with Scalability.


Thoughtframeworks Approach towards Cloud-Native Application Testing

We focus on the seven following areas to design the possible scenarios that play a key-role in production.

  1. Scalable
    • Service scalability
    • Usage of cache
    • Cache performance across services when requests are stateless
    • Consequences when instances are no longer required

  1. Dynamic Environments
    • Analyse how the feature is deployed and the key distributed elements to the system
    • Cross-examine the availability of a feature dependencies
    • Identify the feature recovery process. 

  1. Resilient
    • Kubernetes can perform rolling restarts but how do we gracefully shutdown and release client threads
    • Understanding overloads on the nodes when traffic is being routed.
    • Understand the system deterioration rate.
    • System responsiveness when legacy systems are unavailable

  1. Manageable
    • Analysis of Time and Effort 

  1. Observable
    • Capturing metric requirements
    • Archived and searchable logs
    • Traceability of application.

  1. Robust Automation
    • Validate deployment simultaneously
    • Negative task-based scenarios are performed in terms of scalability and reliability.

  1. Frequent and predictable high-impact change
    • What are the service dependencies
    • Are there any breaking changes
    • Continuous delivery over Continuous deployment
    • How do we run end to end tests while a deployment is in progress
    • If it fails, how does it rollback
    • What should happen.

Thoughtframeworks Cloud-Native Application Test Strategy

Thought Frameworks Cloud Native Testing Strategy

Thought Frameworks Cloud Native Testing Strategy

With the introduction of tools to orchestrate applications in different settings, the possibility is offered to automate the execution of our native cloud test strategy within these pipelines.

Quality Assurance team, developers and product owners work collaboratively to contribute to ensuring that best value is achieved. The Cloud Native Quality Assurance Charter and the principles of chaos can help to ensure that production is reliable.

It is crucial to analyse and, if necessary, to integrate the results of the exploratory tests (using chaos or cloud native methodologies) in all automated regression packages. Do not forget, we need a solid, quick and valuable test suite, not everything must be automated.

Canary testing is one method used to validate production features. It requires the deployment of a feature to a subset of users without their knowledge before it is extended to a broader population.

Ways to Implement Cloud-Native DevOps

  • Aligning with the microservices patterns
  • Using Containerization
  • Following declarative communication pattern
  • Deploying container orchestration
  • 12-factor application principles are employed while writing the code
  • Increasing automation in CI\CD pipelines
  • Exposing health check
  • Collecting telemetry data

The Thoughframeworkers and their experience in Cloud Native Application Testing

Adding value to Cloud Native Application Testing requirements:

Increase the number of development cycles

Achieve Resilience and ease of execution

Greater Scalability

Feature delivery in a timely manner.