ML engineering can be defined as the technical systems and processes associated with the stages of the ML lifecycle (also referred to as MLOps cycle) from data preparation, modeling building, and production deployment and management. While ML engineering entails the provisioning, deployment, and management of infrastructure that enables model building, data labeling, and model inference, it can go much deeper than that ...
Vendor Forum
Corporations can spend millions to install effective cybersecurity infrastructure, but what they might fail to notice is that vulnerabilities could be hiding in plain sight in developer repositories. To make database connections, calls to APIs, and many other functions more convenient, developers will often hardcode various credentials, keys, and secrets into a configuration file, or sometimes directly into a function itself. While this practice makes it convenient for developers, it opens up a myriad of vulnerabilities and cybersecurity challenges ...
Infrastructure-as-code (IaC) is regularly used by DevOps teams. However, the increasing complexity of things like data center configurations, security requirements, and changing guidelines means IaC is poised for an overhaul ...
Kubernetes and the ecosystem of cloud native technologies unlock innovation for organizations and provide a means to achieve the goals of elasticity, agility, optimized resource utilization, reduced service costs and workload portability. Security and optimized resource utilization are high priorities for practitioners, reminding us that the cloud native space is maturing, and focus is moving from Day Zero to Day Two operations, according to the Kubernetes and Cloud Native Operations survey report from Canonical ...
Today, native mobile developers are in high demand — and rare. Accessibility-first mobile developers are absolute unicorns. But this must change — and quickly. Look at these statistics ...
Testing is critical for long-term success, however, many enterprise teams are grappling with the timing of their testing. Today, the traditional software development lifecycle begins with requirements, goes to design, then coding, and ends with testing. The problem with conducting testing at the end is that much of the work is already complete, causing last minute surprises, costly defects, and delays in deploying the final product or update ...
Between the impact of COVID-19, shifting customer demands, and a surge in digital transformation, small to midsize business (SMB) owners in retail have been faced with great change in the last couple years. To find out just how much these disruptions have impacted retailers, we surveyed key thought leaders and decision makers at SMB retail companies. The results identified both the critical challenges faced by SMB retailers and the tech initiatives they' re implementing to offset those challenges. Based on our data, we've parsed out three key findings that will help small business owners navigate the new normal ...
Analytics has come a very long way in recent years, with transformational developments widening its impact beyond internal stakeholders and into the hands of external users. This brings with it a range of challenges, and when building analytics applications for customers ...
When execs talk with me about their desire to bring their teams back into the office in this new, post-pandemic world, the main argument I hear centers around the concept of "culture." An amorphous feeling that a return to the office is essential for teams to remain effective. "But," I ask, "weren't your teams effective during the pandemic when we all had no choice but to stay home?" ...
Can DevOps and low code work hand in hand? Philosophically, the two are at odds; DevOps inherently insinuates that code will be involved, while low code/no code insinuates the opposite. So, how can LC/NC and DevOps work together in harmony if they are intrinsically opposed to one another? Can they really be friends, or are they resigned to being foes? ...
The biggest challenge in today's environment is blending security into the development process. All companies have different software development life cycles (SDLC), infrastructure, repositories, availability, deployment areas (think cloud, on-premise, hybrid), accesses, etc.The balance of slowly introducing security, ideally with the biggest impact at the smallest cost (this could be financial or time and effort), into an already established life cycle is key ...
DevOps is not a tool in itself. You can't download it. It is made up of tools and methods and a whole way of working — the DevOps culture. At its core, DevOps is about creating an open, regular flow between operations and development — and therefore clear communication and collaboration is essential. With demand increasing to build innovative systems to attract and retain customers, a cohesive DevOps culture can be the differentiator that puts you at the forefront of commercial growth ...
DevOps is considered green when it comes to security practices. Developers are generally focused on the performance and deployment of solutions, rather than their protection. As cloud workload security (CWS) advances from deployment, to mainstream adoption, to run-time optimization, there are certain steps that DevOps teams need to implement to ensure they're properly protecting their projects. Below, find three critical steps for DevOps teams to improve their CWS protections for application deployment and run-time ...
While the benefits of cloud-native development are clear, we recently released a report revealing that the majority of companies are well behind the curve and have not yet pursued this technology. Based on a survey of 500+ IT leaders and developers, our report found stark contrasts between expectations and readiness for the use of cloud-native development with more than half of respondents (53%) stating they don't know much about it ...