Make Azure Cloud Migration a Breeze
Want to know the secret for a swifter and less turbulent Azure Cloud Migration? Let me show you how Gitential can help you optimize your software engineering team’s performance to mitigate risks and “in-flight” emergencies with cloud migrations. Migrations can be very complex, involve significant code changes, app modifications, and even a complete refactoring for architectural alignment. To help you reach your destination, we’ve compiled a few tips to assist with your Azure Cloud Migration and post-migration development.
Top migration challenge
Improve Azure Cloud Migration with Gitential
1. Improve Quality.
Normally, to understand software engineering team quality drivers requires a labor-intensive process. Your software engineering managers probably have a lot of questions like:
- How much is my team testing and how frequently are their tests failing?
- How old is our code? What amount of code is unsafe or copied from elsewhere?
- Who’s authoring, committing, and/or working on the same code?
Gitential provides insightful data engineering managers can immediately put to use. With it, they can be more proactive in mitigating risks by tracking code hotspots, enforce better code quality, and achieve more cost-efficient codebase maintenance.
Example KPI’s: Code Churn, test volume, code structure, aging and error counts.
2. Enhance Collaboration
Sometimes it’s hard to be “socially agile” in understanding team dynamics. With advanced analytics, engineering managers can organize highly productive teams to promote collaboration and breakdown knowledge silos. Some of their questions here might include:
- What is my team setup and what are the team dynamics in my project?
- Who are my top developers in each programming language and who are they working with?
- How can I put together the best team setup for this project?
Gitential takes out a large portion of the guesswork so engineering managers can better align mentors for those needing it, identify silent A-team players, and create the right “team mix” for any given project.
Some KPI’s: Collaboration map, number of contributors, utilization, delay, feedback, among others.
3. Continuously Increase Productivity.
One of the greatest challenges in improving productivity is defining where and how it can be improved, and by how much, so efforts can be prioritized. With automated tracking of all activity on your git repositories, more productive meetings may be your toughest challenge! A few of the nearly infinite productivity-related questions are:
- How fast is my team deploying new features, versions, or projects?
- What is my team’s velocity in writing code, testing, and code reviews?
- Are we reusing our code or continuously reinventing the wheel?
The more productive you become… the easier it is to become even more productive. Agile team monitoring from planning, through standups and all the way to deployment helps keep your projects on track. At the same time, faster and more predictable deliveries help to pay down your technical debt.
Good KPI’s: Velocity, active days, coding hours, code volume, number of commits.
4. Maximize Efficiency.
Stripe’s 2018 report The Developer Coefficient indicates that developer inefficiency often exceeds 30%. Gitential enables you to objectively quantify software engineering team performance. Like with improving productivity, you can define where, how, and by what extent efficiency can be improved on a targeted basis. Good engineering managers always want answers to:
- How well are my engineers performing – and in which areas?
- What are their strengths and weaknesses?
- Have code reviews been helping? By how much?
With a direct line into transparent and objective team performance metrics, it becomes quite easy to identify at-risk and vulnerable team members. To put it another way you can better identify who is burned out or looking for a new job. This provides you a chance to find out why and remedy the situation, as needed. Even though there can be many contributors to inefficiency, the majority of root causes are usually tied to a handful of reasons.
Useful KPI’s: code efficiency, lead time, code complexity ration, coding hours, code volume, and commit frequency.
Four Levels of Oversight
In addition, Gitential provides four levels of visibility for tracking and measuring your software development with the same kind of detail Google Analytics provides for web sites. Any cloud migration will involve code changes that can also be tracked to provide four levels of oversight:
- Organizations. For CTO’s, if your organization is migrating multiple projects to Azure or other Cloud services, you have a direct line of sight on how each is proceeding.
- Projects. Software engineering managers can see how their workloads are progressing, and proactively engage team leaders who appear to be running into difficulties.
- Teams. One of the most useful tools here is our collaboration mapping providing you a view of how much each team member has collaborated with other team members. Moreover, this can help identify knowledge silos and arrange better pairings and code reviews with team members more experienced with Azure’s environment.
- Individuals. No one’s left guessing when you have detailed metrics on individual code volume, utilization, efficiency vs. utilization, code complexity, and more. This provides an extremely helpful way to find knowledge gaps and other issues to better understand and help individual developers become more productive, knowledgeable and efficient.
Continuous team development
An extra tip or two for a smooth Azure Cloud Migration
One part of doing the planning to migrate your project to the Azure Cloud is to grab the documentation. Microsoft provides a step-by-step walkthrough of the Azure Cloud Migration process and some free tools to help you:
- Data Migration Assistant – Detect and receive recommendations on resolving compatibility issues that can impact database functionality and reliability in your transition.
- Azure Database Migration Guide – Microsoft provides step-by-step guidance for your specific scenario, like migrating from Oracle, MySQL, SAP ASE, etc., to Azure SQL Database and other options.
- Azure App Service migration assessment – Another Microsoft tool to get a detailed report of the compatibility of the technologies you are using are compatible and alternatives on App Service.
An increasingly frequent requirement of organizations entails being able to conduct the migration with zero downtime or decrease in performance. Microsoft provides the technical details and resource specifications for conducting zero downtime migrations. One includes a case study for a high-performance platform involving over 120 TB and 54 onboarded applications, for instance.