Articles : Tips and Tricks

Implementing a machine learning (ML) model in an application is only a small part of the journey. When you’ve done all the research, determined that ML is a good fit for your use case, and chosen the correct ML model and tooling, you still need to ensure that you handle your data and training correctly.

This is the ultimate guide to securing your applications, servers, and APIs, including design, coding, testing, compliance, deployment, infrastructure, and threat intel.  Cyber security is of critical importance: According to a TransUnion Holiday Retail Fraud Survey, 46% of customers are concerned ...

Kubernetes has been a revelation for companies working with containers. It makes container orchestration consistent, which can streamline development and make CI/CD processes more reliable. However, your success depends on more than developing containerized applications and integrating Kubernetes into your CI tooling. You still need to consider how you will deploy your containers into a production environment. This process can be just as challenging as introducing containers into your software architecture in the first place.

Designing for scale is one of the fundamental principles of modern software engineering. However, an organization’s ambition to build scalable applications often exceeds its ability. While it's easy to see the incredible opportunities for scaling up and going global, many do not appreciate the biggest challenges facing development and DevOps teams building scalable apps.

We’ve looked at best practices for building scalable applications. We turn our attention now to the technical issues your development teams must address. This guide introduces ten software design principles for building scalable applications.

We previously addressed the need to design secure applications and test for security during development. However, despite all good intentions, it is all too easy to focus on solving the immediate functional problem and ignore other objectives like security when writing code. 

Hackers, malware, cybercriminals, and more threaten modern applications constantly. Malicious actors will try to uncover and exploit any vulnerabilities to steal private data, disrupt your service, and more. When designing our applications, we must prevent or mitigate these potential vulnerabilities as early as possible. Identifying and fixing security gaps late in the development process can be very expensive. Many of the biggest vulnerabilities arise from poor design and require significant effort to resolve. You can avoid wasting time and resources by following the correct principles in the application design phase.

The AWS WAF 8kb inspection limit issue is well documented with guides on how to remediate the issue.

Websites and applications should be designed to be functional, high-performance, and resilient to common and uncommon disasters. Despite your best plans, it’s inevitable that events will conspire to interrupt the smooth operation of your systems. For businesses that depend on software and web services, disasters can have a massive financial impact, making it critical for IT teams to do everything possible to avoid or mitigate them. The way your applications respond to disaster incidents is a good indication of the overall quality of your architecture and code. Today, we will share some tips that should help you and your team build an application infrastructure that is resilient against even the worst disasters.