DevOps Implementation: Best Practices Using Alibaba Cloud

DevOps has transformed from a service to culture. Alibaba Cloud and their strategy behind enabling organizations and businesses to adopt and expand, has showcased a well-planned approach. The whole idea is to enable developers to deliver high-quality applications and make the whole process seamless, including building, delivering, and future builds with Continuous Integration and Delivery.

DevOps flows with incremental implementation. This enables an organization to process changes and make adjustments with a pre-defined schedule, when a new and improved system comes along, or when updates become necessary. Alibaba Cloud provides a robust Infrastructure as Code (IAC) platform for developers, so they don’t need to worry about anything related to the backend. Alibaba Cloud has worked out a way to introduce a robust infrastructure that provides automatic provisioning options with Server Load Balancer and Elastic Compute Service.

To ensure the best implementation of DevOps with your organization, you need to focus on a few things. Let’s take a look at the DevOps flow that needs to be kept in mind for basic operation scenarios while you read this article.

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Side-Note: I am going to talk about some practices that are not necessarily common. As a developer or IT decision-maker, you already know that Testing Automation, Continuous Integration, and Continuous Testing are some of the parameters to follow. Well, let’s go off the beaten path and talk about some less common implementation practices. The Alibaba Cloud DevOps solution includes most of these metrics for a smoother altogether operational overview with DevOps.

Frequency | Deployment

Maintaining a deployment cycle frequency is as important as feeding your pet on-time. Without maintaining a schedule (a very important metric), things can be erratic and uncontrollable. It is very much recommended that you keep track of build frequency and integration frequency. QA or planning phases should also be kept in check. Maintaining quality by keeping defect metrics in check is also an important practice to maintain software quality.

How Big Is Too Big? | Deployment

Implementation of DevOps within any organization requires a clear front of what should be used, automated, and how frequently an application should go through Integration. Your team size for specific application modules and what is going through the update also matters, but the tasks to be performed as a consecutive integration takes place must be kept to a certain size. This will enable better and more documented performance during implementation.

Defect Escape Rate | QA | Error Rate Detection

Defect escape rate is amongst the most important metric to keep in check while going through the SDLC. You need to know and check on how many defects there are in production and QA.

Let’s take a look at a chart that showcases the defect escape rate over a certain time. This report was generated looking at the India Hello World application implementation with DevOps using Alibaba Cloud.

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Keeping a close check on this metric will enable better resource utilization by calculating how many defects make it to QA from production. Error rate tracking can lead to a better understanding of problems and performance issues within your application. Any bugs or production problems can be cast to database issues or time exceptions.

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