Regardless of what kind of technology you're working with, boosting productivity is pivotal in today's market due to the proliferation of new innovations, the increase of AI, and an increasing consumer demand for a faster time to market. Developer productivity holds immense importance, not merely in coding faster but in making every minute count, particularly when time is constantly working against you ...
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In the fast-paced world of modern business, application development teams face an immense amount of pressure to code faster than ever before ... However, prioritizing rapid development frequently leads to the neglect of security measures, creating a trade-off that can have significant repercussions, overburdening AppSec teams towards the end of the software development lifecycle (SDLC) and almost guaranteeing software vulnerabilities and exploits ...
Everyone can agree that application programming interface (API) security is important, but whose responsibility is it? Many organizations don't have a clear answer — and this presents a major opportunity for developers to step up into an important new role: API champion ...
The personality types you often encounter in software development organizations can be divided into two basic categories: poets and librarians. Poets are the creative types who dream up big ideas. Librarians make sure high-quality code gets built on time. Their goals and motivations differ, but great software results when they work together harmoniously ...
As companies move more and more of their operations to the cloud, it becomes increasingly important to ensure data integrity is maintained during migration. Data integrity in cloud-based environments is essential to ensuring that data remains accurate, consistent, and intact during migrations or transfers. However, cloud migration can be especially risky ...
Agile development continually improves enterprise applications and shortens development time, helping companies stay competitive. Artificial intelligence (AI) automates processes to improve efficiency. Agile and AI low-code are naturally symbiotic, providing the means to streamline application development by building on existing software and components ...
The field of cloud native development is rapidly evolving, but during this shift to modern environments such as Kubernetes, many DevOps teams are putting security on the back burner in a rush to move to cloud native environments. This is opening the door to a wide array of new security risks and numerous opportunities for unscrupulous cybercriminals — and machine identities are a prime example of this ...
The acceleration of digital transformation and subsequent rise in API, containerization, and multi-cloud deployments are creating a dynamic attack surface that's growing increasingly complex. Maintaining visibility to keep track of new, changed, unmanaged, or insecure APIs grows increasingly difficult ...
In today's hyper-connected and data-driven business landscape, Software as a Service (SaaS) applications are the backbone of enterprise operations. These applications play a pivotal role in driving innovation, enhancing productivity, and fueling growth. However we must underscore the criticality and role of data protection measures, particularly as they relate to the rise of SaaS use and proliferation across companies worldwide, to ensure the resilience and continuity of business operations ...
If 2023 has proved anything in DevOps, it's that staying ahead of the curve is not a strategic choice but a necessity. The software development landscape has experienced a plethora of changes this past year, including the swift and widespread adoption of artificial intelligence, agile frameworks becoming mainstream, and evolving job roles within the DevOps sector. If 2023 was an opportunity to explore the enhanced DevOps methodologies that could expedite software delivery, 2024 is the year to embrace them wholeheartedly ...
For years, mainframe systems have served as the bedrock of enterprise networks, standing unmatched in terms of reliability, scalability, and data protection. But with emerging practices like DevOps, the rise of open-source, and the move to hybrid cloud models, security risks have become a pressing concern. With constantly changing rules and shifts in how software is developed and used, it's more important than ever to focus on mainframe security ...
Dark patterns, also known as deceptive design patterns, are user interfaces crafted to trick users into doing something they don't intend to, usually at their expense ... Surely this behavior is illegal? Well, sort of ...
If the use of AI is consigned to code generation, organizations may miss some of the most transformative opportunities for AI in software development. Let's walk through three ways to use AI in your DevSecOps workflows for faster cycle times and accelerated value stream delivery: predictive analytics, code testing and review, and security vulnerability detection ...