Practical Tips to Speed up the Software Delivery Performance

This post will give you enough ideas to improve software delivery performance (and Automation Plays a key role here) and how to measure software delivery performance using statistical methods. I would like to share industry proven and practical tips which helps you speed up the Software Delivery Performance.

Accelerate classified the capabilities into 4 categories:

Technology & Automation capabilities:

Product and Process Capabilities:

Lean Management and Monitoring Capabilities:

Cultural Capabilities:

In next couple of articles, we will go over these capabilities one by one.

How to Speed Up Software Development?

Why is Faster Software Development Important?

Faster software development is important because it saves time and money.

In a business world that is more competitive than ever before, it’s important to be able to develop software as quickly as possible. Today’s software developers need to be able to build out new features for the company’s product or service, and they need to do so quickly. The faster that this can happen, the less time is wasted, which means that companies will be more prepared and have a higher chance of success in this competitive market.

What Practices Will Help You Speed Up Your Software Development?

  1. Shift Left through Automation
  2. Implement CI/CD
  3. Automate as many tasks as possible – coding, data entry, testing, etc.
  4. Make defects visible so they can be fixed early and often – unit testing, nightly builds, etc.
  5. Know what you want before you build it – are requirements clear? does the design make sense? are there risks or side effects we should know about?
  6. Do things in parallel wherever possible – running multiple tests, running multiple code reviews at the same time, etc.
  7. Be responsive to changes in requirements and design from stakeholders and teammates
  8. Limit your work in progress

Understanding the DevOps Lifecycle

DevOps is an iterative process that occurs throughout the product development process. In the usual DevOps process, there are various stages. The phases are listed below, along with descriptions of the intersection of development and operations and how they fit together in the DevOps model. Let’s have a look at each phase in detail. The “DevOps infinity loop” is a popular metaphor for this.

Plan: During this phase, the software will be planned. Data from software monitoring in operations can help impact planning, so there’s a connection between development and operations.

Code: The programme modules or functionalities are coded in this section. Different team members can work independently using version control systems such as Git, committing their modifications and submitting pull requests to the main branch.

Build: The software is turned into machine-readable instructions. Continuous integration servers make sure that the programme is always up to date with the latest commits.

Test: The testing phase is where the development and operations teams run manual and automated tests.

Release: The software is released into a pre-production environment during this phase.

Deploy: Deployment entails both the promotion of the software into the production environment and the setup of the software.

Operate: The operations team makes sure the programme is working properly in both functional and non-functional areas. Monitoring performance, adjusting for load, and making additional configuration adjustments are all part of this phase.

Monitor: Continuous monitoring aids the development team in anticipating future changes, such as bug repairs. It also serves as a starting point for the development team’s production configurations for future releases.

Automation, Containerization/Docker Interview: 14 Questions You Should Be Prepared To Answer

This is a list of awesome Containerization/Docker Interview Questions for Testers. These are shared with in one of our groups. Please email us at i.m@fullstackqe.org, we will give the credit to the awesome person who prepared this list.

Q14. What platforms does Docker run on?

Docker runs on only Linux and Cloud platforms.

Below vendors of Linux:
• Ubuntu 12.04, 13.04 et al
• Fedora 19/20+
• RHEL 6.5+
• CentOS 6+
• Gentoo
• ArchLinux
• openSUSE 12.3+
• CRUX 3.0+

Cloud:
• Amazon EC2
• Google Compute Engine
• Microsoft Azure
• Rackspace

Note that Docker does not run on Windows or Mac.