If you follow a future-proof app infrastructure, you can easily build an app that is adaptable to change and scale. Meaning that you can easily add new features and handle increased traffic without performance issues. Most importantly, your app will stay secure even as cybersecurity threats evolve, and you won’t even need to rebuild it from scratch every time your business or market changes. But how can you build a future-proof infrastructure that withstands long-term growth? This is exactly what this article is about. We’ll break down exactly how to build an app infrastructure that’s scalable, secure, and ready for long-term success.

Why Future-Proofing Matters

When you build an app, you surely want this app to grow, right? That’s why you need to prepare it for future growth from day one. But let me tell you how a future-proof infrastructure can actually improve your long-term app scalability. When you build an app, you’re not just building it for today; you’re building for tomorrow’s growth, users, features, and challenges. And that’s exactly what a future-proof infrastructure offers. It lets your app handle growth in terms of users, features, data, and traffic without slowing down or crashing. In other words, it lets your business scale without downtime.

What about security? How can a future-proof app infrastructure help with that?

We all know that cyberthreats constantly change, right? Say your app structure is outdated, rigid, and can’t be updated easily. Wouldn’t that make your app more vulnerable to security attacks? That’s why a future-proof system uses automation, follows modern security practices, and adapts over time to stay protected even as new threats emerge.

Honestly, building a future-proof infrastructure will cost you more at first. However, it will save you tons of money later. How? If you have a secure infrastructure design, you won’t have to rebuild everything when there’s an update or even if a problem emerges. Moreover, growth shouldn’t come with bugs, security risks, and downtime. That’s why having a strong and well-structured backend makes it easier to release new features and fix bugs quickly. At the end of the day, we do all this to create a better user experience. And honestly, users don’t care how your app works. All they care about is how fast the app is, its new features, and how secure it is. That’s why having a future-proof infrastructure ensures speed, reliability, trust, and eventually happy users.

How to Future-Proof Your App Infrastructure

Now that you understand the importance of having a  future-proof app infrastructure, let me explain the key principles that can make your app secure, scalable, and ready for long-term growth.

1. Modular and Scalable Architecture

If you use a modular and scalable architecture, your app can handle more users without crashing, you can fix bugs easily, and you can add features faster. Modular design means that your app is broken down into separate modules, and each module handles one thing. For example, you might have a module for authentication, another one for payments, and so on.

Mainly there are two ways to achieve a scalable and modular architecture. First, we have microservices, where every part of your app runs on its own. This is mainly used for more complex apps. However, if you’re a small business but still want safe and long-term growth, you can use well-structured monoliths. That means that your app runs as one unit, but it’s still cleanly organized internally. That way, you get an organized, structured backend that will make it easier for your app to grow without rewriting the whole thing.

2. Security-First Mindset

Security should be built from day one, not after you launch your app. If you really want to future-proof your app infrastructure for long-term success, then you should have a security-first infrastructure. But why is security so important for future growth?

Having a secure infrastructure from day one protects you against cyberattacks, downtime, and data loss. Honestly, if you don’t have a secure-by-design infrastructure, you can lose customers’ trust or even face legal problems. So how can you build a secure app architecture?

First, you have to use strong authentication methods like role-based access control (RBAC) so only the right people can access the system. You can also encrypt sensitive data; that way it can’t be read if stolen. On top of that, you have to automate updates and regular security scans to detect problems early. Most importantly, you have to follow compliance standards like GDPR, HIPAA, or SOC 2, especially if you handle personal or sensitive information.

3. Cloud-Native and Containerized Deployment

Cloud-native architecture is important if you want to future-proof your app infrastructure. You can achieve this by building your app on flexible and scalable cloud platforms like AWS, Google Cloud, or Microsoft Azure. That way your app can scale easily, run faster, and remain reliable under growing demand.

Moreover, you can also use tools like Docker and Kubernetes to package your app into small portable units that include everything it needs to run properly. That way, your app will scale automatically when new users join, work across different cloud platforms and update without downtime.

However, to set up Docker, Kubernetes, cloud servers, and infrastructure-as-code tools like Terraform, you’ll need technical experience. So if you or your team doesn’t have cloud or DevOps experience, you can contact AdRem Systems. They can help you set up cloud-native infrastructure, handle containerization properly, and make sure your app is scalable, secure, and future-ready.

Final Thoughts on How to Future-Proof App Infrastructure

To have a future-proof app infrastructure isn’t just a technical decision; it’s a smart business move. By focusing on scalability, security, and cloud-native tools from the start, you’ll avoid costly rebuilds, reduce risks, and set your app up for long-term success. So if you want to add new features, handle more traffic, or adapt to new security standards, a strong infrastructure will make all the difference.

And if you want to build a fully native, secure, and scalable app without writing a single line of code, check out nandbox AI-powered app builder. It’s the fastest way to create future-ready mobile apps that are both secure and scalable. What are you waiting for? Start building your dream native app now!

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However, the optimistic outlook is tempered by concerns that generative AI may inadvertently produce insecure code, posing significant risks for companies. Despite being in its early stages, a substantial number of developers are already incorporating generative AI into their workflows. While generative AI’s adoption is growing, the potential dangers of producing insecure code underscore the need for careful implementation and ongoing refinement of these technologies in the realm of DevSecOps.

In this article, you will learn about seven astonishing statistics regarding the impact generative AI is having on DevSecOps.

Table of Contents

7 Statistics Showing The Real Impact of Generative AI On DevSecOps

1. 90% of Developers Reported the Impact on Developer Experience
2. 87% of Organizations are Planning to Invest in Generative AI Coding Tools in 2024
3. 80% of Developers Think that Generative AI Will Help Them Use Tools that They Have Not Done Previously
4. 80% of organizations bypass A Security Policy Altogether
5. 76% of Security Professionals Believe That AI Code is More Secure than Human-Written Code
6. 67% of Professionals Say That They Use AI as Part of Their Jobs
7. 59% of Professionals Said that They Use It For Generating Code

7 Statistics Showing The Real Impact of Generative AI On DevSecOps

Here are seven statistics showing how generative AI is impacting DevSecOps.

1. 90% of Developers Reported the Impact on Developer Experience

Sejal Amin, Chief Technology Officer at Shutterstock highlighted how their use of Microsoft Co-pilot and GitHub positively impacted their teams’ productivity just like when you buy a VPS. According to him, “After just eight hours of learning, 90% of developers reported an impact on the developer experience. Some of the early feedback we got is that a majority of our developers increased their productivity.”

Despite a positive impact, Sejal Amin was still skeptical about AI’s ability to generate code with performance, stability, and security in mind. According to him, there is no AI code generation tool currently available that can tick all these boxes. A few years down the road, it could change and we might see many tools capable of generating code that is not only secure but also performs admirably, and is also stable.

2. 87% of Organizations are Planning to Invest in Generative AI Coding Tools in 2024

More and more businesses are planning to integrate code AI generation tools deeply into their software development pipelines. That is why they are heavily investing in these AI coding tools. According to a survey, 87% of businesses will invest in these AI code-generation tools in 2024. Expect that number to jump in the next few years as this trend will only get bigger.

3. 80% of Developers Think that Generative AI Will Help Them Use Tools that They Have Not Done Previously

According to a SlashData report, a vast majority (80%) of developers have a positive sentiment about generative AI tools and their impact on your productivity. This means that developers are using it to boost their productivity. That was not surprising. What surprised us was the fact that the report also highlighted that 80% of developers think that generative AI will help them use tools that they have not done in the past.

4. 80% of organizations bypass A Security Policy Altogether

If you think that the concerns surrounding the security and privacy of these generative AI tools are just hype, you need to pay attention to this stat. Another survey conducted by Synk revealed that 80% of businesses said that developers in their organizations bypass AI security controls and policies altogether. This makes them more prone to prompt injection attacks and other AI-centric cybersecurity attacks.

5. 76% of Security Professionals Believe That AI Code is More Secure than Human-Written Code

By far the most shocking revelation came to light when the Snyk report came out in November. According to the Snyk report, 76% of security professionals and technology professionals believe that AI-generated code is more secure than human-written code. Even though there is other evidence to contradict this finding such as a research paper from Stanford, it is still a big feat especially when you consider technology is still in its early stages and it will mature as the years go by.

6. 67% of Professionals Say That They Use AI as Part of Their Jobs

According to a CoderPad survey of over 13,000 tech professionals, 67% reported using AI in their jobs. Notably, tools like ChatGPT and GitHub Copilot are popular choices. This high adoption rate is a big positive for generative AI development services and generative AI tools, especially when you consider how recently these coding co-pilots have been introduced.

As more co-pilots make their way to the market, expect the competition to heat up even more. Higher competition will push vendors to offer more features at a competitive price to gain a larger market share. This would make these co-pilots even more accessible for businesses. The direct consequence of this would be a higher adoption rate amongst businesses.

7. 59% of Professionals Said that They Use It For Generating Code

The same CodePad survey referenced earlier in the article shows that 59% use AI for code assistance, over half for learning, and approximately 45% for code generation. These numbers indicate that almost all generative AI tools are extensively being used for generating code, code assistance, and even for learning purposes. As the technology matures, expect to see new use cases emerge just like cloud hosting server. It will be able to handle sophisticated use cases and perform complex tasks as well.

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The Battle of Efficiency: Exploring the Differences Between DevOps vs DevSecOps

In an era where speed and security are paramount, the battle for efficiency has taken center stage in the world of software development. DevOps Vs. DevSecOps, two methodologies that have revolutionized the industry, have emerged as frontrunners in this ongoing competition. But what sets them apart? In this article, we will delve into the differences between DevOps and DevSecOps, dissecting their unique approaches and exploring how they can transform the way organizations build and deploy software.

What Is DevOps, and How Did It Start?

Before conducting our DevOps vs. DevSecOps comparison, let us get a brief knowledge of each approach. Before DevOps started as an actual technological and practical development method, it started as a culture and movement. Around the mid-2000s, two of the most integral parts of any organization started getting together in hopes of coming up with tech solutions. The main aim of these solutions is to make businesses able to adapt to the fast-growing industries they compete in. These two integral parts were the software development and IT operations departments. I know, extremely important. The point that they were discussing and trying to solve was the fact that they both work on the same codes and processes, yet they are apart. This, of course, impacted the development process due to communication issues and conflicting objectives. In this case, they needed to unite forces and powers, and that is how the term and method of DevOps appeared.

So, to summarize this interesting story, DevOps is the combination of “development” and “operations.” It describes a novel method of development. This approach combines the tools, power, and procedures of the development team and operations team across the organization.

DevOps is all about the power of collaborative work and effort to produce effective and efficient outcomes. This comes in opposition to the distant work that is usually found in all businesses.

The Emergence of DevSecOps

As the development landscape evolved a bit more, the DevOps approach needed some upgrades. Recently, software development started moving towards cloud services due to the plethora of advantages they provide. Scalability, flexibility, and effectiveness are very attractive package deals that no one can refuse. However, to be able to use cloud solutions, developers had to find a way to make them secure for themselves and their users as well. This is when they turned to their ultimate method and made some modifications here and there. And this is when DevSecOps emerged as an evolution of DevOps. DevSecOps has mainly the same set of procedures and tools as DevOps, with the same collaborative efforts between operations and development. However, what DevSecOps has included is security.

The main priority of DevSecOps is emphasizing security and making it the central focus of each and every stage of the process. Back in the day, security would be the last step to implement in any software development process. This, unfortunately, made many software and apps vulnerable to security breaches and attacks. The implementation of the DevSecOps method lessened the probability and likelihood of such breaches happening, as it secured an extra layer of security for each development cycle. Since then, the major comparison of DevOps vs. DevSecOps started. 

What Recent Gains Did DevSecOps Introduce To Organizations?

The last section really gave a glimpse of how important DevSecOps are. But what are the gains that an organization would achieve by implementing DevSecOps? The first, and very obvious, advantage is enhanced and maximized security. DevSecOps now starts focusing on security the minute the development stage begins. This extensive focus in the early stages makes it easier and more seamless to identify and fix any flaws, bugs, or errors that may cause problems along the way or later on upon deployment.

The second gain that really concerns organizations is the speed of development. DevSecOps improves the efficiency of the whole development process. Developers and collaborative teams working on the software or applications have to handle everything instantly and ensure the security and effectiveness of each cycle of the development process at once. This allows them to wrap up the work and create fully functional and secure applications faster than usual.

The last advantage of this section (well, not overall, there are still many to discover) is adaptability. We’ve established that the DevSecOps teams are times faster in development and review than usual. This gives such teams the chance to keep up with all the latest software and application trends. Once they can find something that could really benefit their software, they could start integrating these changes and new technologies.

All these advantages made DevSecOps very essential for developing applications, especially for the new app categories. These app categories usually require maximum security due to their nature of containing sensitive information about users, such as healthcare and education apps.

DevOps Vs DevSecOps Lifecycles

You might think that since DevSecOps is an outcome of DevOps, they’d have the same processes and cycles. Well, this is completely wrong. As similar as they can be in the core, and sometimes in the tools and procedures used. DevSecOps and DevOps have completely different lifecycles. So, let us compare them both

Starting with the main concept, DevOps. It consists of eight consequent stages, where no stage can be completed without the others.

DevOps Cycle

DevSecOps Cycle

Unlike the eight lengthy stages of DevOps, the lifecycle of DevSecOps consists of six cycles, where each stage is also very dependent on the previous one and how well it was conducted. Although the stages of DevSecOps match those found in the DevOps cycle, they differ in what each calls for.

Challenges and Considerations for Adopting DevSecOps

While the benefits of DevSecOps are significant, organizations must also consider the challenges and potential roadblocks when adopting this methodology. Some of the key challenges and considerations include:

Cultural shift

DevSecOps implementation usually requires a shift in business culture. Security must be valued and integrated into every stage of software development, which calls for the elimination of silos, the encouragement of collaboration, and the establishment of a culture where security is prioritized.

Skills and Expertise

DevSecOps cannot be implemented without a team of professionals with extensive experience in both software development and security. In order to successfully implement DevSecOps, companies may need to invest in training and upskilling their teams.

Tooling and Automation

Automation and tooling are fundamental to DevSecOps as they allow for the simplification of the development process and the incorporation of security procedures. When it comes to meeting their unique needs, businesses must carefully assess and choose the appropriate technologies and tools.

Continuous Learning and Improvement

Due to the ever-changing nature of security threats and best practices, organizations must keep up with DevSecOps. This necessitates dedication to continuous learning and growth, as well as being ahead of new developments in the field of cybersecurity.

The Ultimate Battle of Approaches: DevOps vs DevSecOps

While DevOps and DevSecOps share common goals and principles, there are several key differences between the two methodologies. These differences lie primarily in the areas of focus and the level of integration of security practices. Let’s explore some of the key differences:

The degree of security integration is the primary distinction between DevOps Vs. DevSecOps. When compared to DevSecOps, which integrates security practices across the entire software development lifecycle, DevOps primarily focuses on collaboration, automation, and continuous integration and delivery.

Another major distinction is that in DevOps, the duty of ensuring the software’s security falls on both the shoulders of the developers and the operations teams. Everyone in the organization is responsible for security in a DevSecOps environment, and the security team has a more hands-on role in the development process.

DevSecOps also takes a “shift-left” approach to security, which means precautions are taken early in the development process. By finding and fixing security flaws as soon as they are discovered, this method helps reduce the likelihood that a security breach will occur. On the other hand, DevOps focuses on security in the last stages of development. Meaning that after ensuring the maximum and ultimate delivery for users, DevOps starts to see what security practices can be implied.

Choosing the Right Approach for Your Organization

In the battle for efficiency of DevOps Vs. DevSecOps, both offer compelling approaches to software development. DevOps focuses on collaboration, automation, and continuous integration, enabling organizations to deliver software updates at a faster pace.

On the other hand, DevSecOps extends the DevOps principles to include security, ensuring that security is not an afterthought but an integral part of the development process. When choosing the right approach for your organization, consider your specific needs, goals, and the level of security required for your software. DevOps may be suitable if your primary focus is on speed, collaboration, and continuous delivery. On the other hand, if security is a significant concern, DevSecOps provides a more comprehensive approach that integrates security practices throughout the development lifecycle.

DevOps vs. DevSecOps? That is a question that can only be answered by considering your company’s specific needs and priorities. By understanding the differences and benefits of each methodology, you can make an informed decision that will unlock the power of efficiency and embrace the future of software development.

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