How DevOps Automation solves low-code security problems

How DevOps Automation solves low-code security problems

Salesforce has gained popularity as a development environment due to its no-code / low-code capabilities, which the company calls “Clicks, Not Code”. As the name suggests, users can create their own updates and applications without writing a single line of code.

But what most users don’t realize is that these benefits are short lived. Environments without code inevitably become more complex. And data security becomes increasingly difficult to manage as the system becomes more complex.

Each configuration and customization creates metadata with interlocking dependencies. Over time, these links grow in complexity and importance. Making changes to one piece of data has far-reaching and potentially costly consequences on other aspects of the Salesforce environment.

Threats to your system come in many forms. Everything from malicious cyber attacks, to simple team member mistakes, to natural disasters can result in costly data breaches that expose sensitive information. A comprehensive data security strategy must take all possible precautions to protect this valuable data.

The problems that arise when no-code or low-code environments grow into more traditional development environments can be mitigated through intentional action and the use of automated DevOps tools. These tools offer a number of benefits, such as an increase in the success rate of the implementation, a reduction in errors and a higher ROI for development projects. Automated DevOps tools also reduce data security vulnerabilities.

But how can they do it? And what tools are best equipped to address these specific problems?

These automated DevOps tools are essential to support a comprehensive data security strategy in a low-code environment: static code analysis, continuous integration and continuous distribution / distribution (CI / CD), backup and recovery.

Static code analysis
The code that makes up applications and updates, whether you use Click, Not Code, or you write lines of code yourself, has a direct impact on the emerging complexity of your environment and potential data security challenges.

Improper data relationships, bugs, and other errors can create incorrect metadata dependencies that not only affect the functionality of the system, but also the overall security of the system.

Moving from an environment without code or with reduced code to one with greater complexity will require some work on the part of the developer team. This will come in the form of directly addressing new challenges as they appear through new features and updates.

Static code analysis ensures that the code entering these DevOps projects is free from vulnerabilities and errors by providing complete visibility to your team members. This is done by automating quality checks on two levels: line by line and a general snapshot.

You can set up line-by-line alerts to alert developers when a line of code is flagged by one of the hundreds of built-in rules. This allows your developers to fix the problem immediately, before it has a chance to be linked to any other contingencies in the future.

Static code analysis also offers broader views of your system to find existing technical debt and fix errors that already exist within your DevOps environment.

Automating these essential functions saves time for your team members and supports data security measures as your environment becomes more complex.

How quickly you can address emerging data security issues will have a big impact on your success in doing so. A no-code / low-code environment will quickly become more complex and will require continuous improvement.

Working with a multi-developer team is a great way to increase the output of the DevOps pipeline, but it also introduces potential errors.

Developers are likely to work in their own sandbox before merging their updates with the main code repository. A frequent result of this is lines of code from different developers not working properly with each other. If these conflicts or overrides are not resolved, they can cause failed deployments or bugs in the live product. These bugs have the potential to become data security threats.

Continuous Integration and Continuous Deployment / Distribution (CI / CD) are automated DevOps tools that ensure that the lines of code that make up an update or application are arranged correctly. Even low-code environments can create improper coding structures. These automated tools can detect such errors before they become security threats.

Backup and restore
As mentioned above, there are a number of threats to overall system security, whether it’s in no-code or low-code Salesforce environments, or those that have become more complex. Implementing automated testing in stages is essential to protect your system, but if we’re honest with ourselves, our Salesforce environments can never be completely secure.

Environments without code or with reduced code may seem simple, but losing access to the metadata links that keep your operations running will have a drastic impact. Backing up your data, especially with an automated data backup and restore tool, ensures protection even if the worst case scenario occurs.

The ability to quickly get back to operations helps your business in a few ways. First, any downtime is the time when you can’t provide services and make money. The average cost of a data breach was $ 4.24 million in 2021. Second, data exposure leads to a loss of customer and customer trust. And third, it takes a lot of redundant work to get the system back to its previous state.

Frequent and reliable data backup reduces redundant work and much of the cost of a data loss event. The ability to quickly retrieve this information brings your system back online. A quality backup and recovery tool can be automated to take snapshots of your environment, entire or specific areas, so you always have a recent data set to fall back on if a data loss event occurs. .

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