How to Manage the Risks of Deploying a Code - BigStep Technologies
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How to Manage the Risks of Deploying a Code

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Deploying code

Code deployment is a delicate process. It is sensitive because you either take an active version of your working code and replace it with a new one without properly testing it, or deploy a fresh code while not paying much attention to the details. In both cases, you are putting your organization at risk.

Risk is the future of uncertainty between potential events and the potential for loss. Classic software documentation states that every deployment process should undergo a thorough inspection. This may increase test costs but reduce risks of failure.

Common mistakes encountered during code deployment:

1. Deploying to the Wrong Place

Yes. This is stupid and problematic as it sounds. It seems obvious that you need to install a new version in the development area first, test it, test it, and – only after everything is OK – use it on staging and then push it into production.

However, accidents do happen. It is unfortunate for all involved to release an untested version in production instead of development. Sometimes a new version contains an unstable GUI (elements from different parts of the screen) or an unusable one (no features are available on the screen). This needs to be avoided at all costs.

2. Premature Deployment

Now let’s assume you used the production correctly, but the features themselves are not yet ready. In this case, you will need to do a quick rewind. Setting a clear supply protocol for the product reduces this risk. The protocol should include a description of the performance features, a QA manual, documentation, and all other coding tests that must be passed before it can be marked as secure to be included in production.

3. Deployment of Wrong Code

Yes, this is also possible. Sometimes a developer uses the wrong Git branch of the repository. Some branches should be automatically prevented from being distributed to production.

4. Not deploying at all

It sounds like an oxymoron, but it is not. The DevOps developer may have pressed the application button and received a notification that everything is fine, but in reality, nothing was happening. The developer did not issue any code. This may be due to a fault in the distribution pipe.

5. Missing the Deployment Deadline

Failure to use your code can be very costly. Let’s assume you need to feed a quick-fix or you need to install a new feature because a marketing campaign will be launched soon. But for some reason, the shipping process is broken, and nothing happens.

6. Crash the Current Code Before The New One is Up

The current code may crash before the new code is activated if you take down the current version too soon. In this case, the production area of ​​the current code may drop a few minutes or more. If this happens before a new code is issued, no one can access the site. To avoid this, we can either use the blue/green post or use an orchestrator like Kubernetes to make a “switch.”

7. Leaving the Previous Version Online

If you do not download the previous version after submitting your new code to the production, you have two production areas: one with the new code and one with old code. Sometimes the old site is assigned a different URL (like old.site.com), and sometimes it has the same URL. The latest situation ensures that some customers will use the new version while others will use the old one. To avoid this, we need to manually download the old version or by default.

8. Limit Width and Extract Frequently

One way in which the risk of release can be reduced is to limit the number of changes made to the development cycle. By moving to shorter development cycles that have less time between releases, changes to the application are made more slowly. This more cautious approach to app development allows for multiple deployments while minimizing the chances of introducing defects in production that could have catastrophic consequences.

Now that we have gone through the common mistakes, let’s talk about some ways to reduce the risk of code deployment:

9. Create a list

Before testing the code, one of the most effective things QA teams can do is to identify the risk that the ideas that were expected to be coded or operated could disrupt or interfere with the operation of the software or system. 

According to Software Testing Help, risk detection, which includes anything that might make a deployment fail, ultimately prevents ROI losses.

10. Independent deploys

Today’s systems are more likely to be built with microservices and a fixed end. Set free program organizers to deploy their codes regularly by making sub-systems deploy independently. At the same time, expect the editors to support that code in production.

To support their codes, teams probably need advanced monitoring.

11. Regular Monitoring

Improved monitoring is about capturing user information – the number of web errors in the 400 series, how long the pages stay on the server, the combined values ​​are transferred to web pages (per minute calculation), and so on.

The best precaution would be to take some of those default key scripts, cut them down to size, and use them in production.

12. Continuous testing of production

When people complain about login speed, you have real data about how long the experience takes, not just how long things take for the server.

Best of all, you can do it by re-testing the testing tools. That is not free, but it will be part of the cost, and you can do it in part — the “hot spots” that are often problematic or important.

13. Feature flags and canary rollouts

Sending a new feature to canary users gives them a chance to complain if they find a problem – like a canary in a coal mine.

Although the initial implementation of the feature flags led to a complex code, where each flag required an “if” and two separate code blocks, this is not the case today.

14. Inspire and lead

Unless the team is concerned about something: customer, product, or even its pursuit of success, it is unlikely that any of the above strategies will have a significant impact.

Helping the team to do its own continuous development will help over time.

15. The proof of the techniques

What people don’t admit they don’t care about — even if their behavior seems to be designed to reduce efficiency.

Building a production snowball is the key.

Conclusion

As you can see, the shipping process is naturally dangerous, and many things can go wrong. However, your organization cannot stand it. You should use new code to fix bugs and add new features to keep your customers happy. Following the guidelines above will help you avoid the most common risks of distribution.

For more information on how to manage the risks of deploying software, get in touch with our team of professionals. You can get in touch with them at info@bigsteptech.com to elevate your business operations today.

karishma Verma

Content writer with a passion to write for a variety of niches to broaden my horizon as a professional writer.

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