The broad adoption of containers and the emergence of Kubernetes as a de facto standard have pushed the boundaries of cloud native development's impact even further. Containers, though not a prerequisite for microservices, provide the right packaging for the mass adoption of microservices. As with all new tech, however, when one problem is solved, another often emerges ...
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In the last six months, organizations from Microsoft to the Red Cross have been hit by cybersecurity breaches. Widespread open-source vulnerabilities, such as Log4j and Spring4shell, have also shaken the software industry, reminding us just how entwined source code has become. These recurring incidents raise the question, are we making progress in securing our software? ...
The last two years have accelerated massive changes in how we work, do business, and engage with customers. According to Pega research, nearly three out of four employees (71%) feel their job complexity continues to rise as customer demands increase, and employees at all levels feel overloaded with information, systems, and processes that make it difficult to adapt to these new challenges and meet their customers' growing needs ...
Pinpointing gaps within an organization and acquiring people with the skills to drive a digital revolution is difficult. And ongoing labor shortages, the impact of automation on job roles, and continuously evolving technology doesn't make it any easier ... What can be done to help organizations not just survive, but also thrive in this new, rapidly changing reality? ...
The low-code platform market offers enterprises a large selection of options with players of varying sizes and capabilities co-existing. However, the market's complexity is also one of the key reasons the technology has not realized its full potential. To find out what the future holds for this industry and the different scenarios that may unfold, read on ...
Looking at the world of emerging technologies, artificial intelligence (AI) appears to be the next technology on the cusp of breaking into the mainstream, thanks to the development and growing proliferation of no-code AI. A code-free technology that enables non-AI experts to implement and test their ideas without any need for a data scientist, no-code AI will prove to be a democratizing force within the AI industry enabling greater accessibility and use by businesses outside of the Fortune 100 ...
Open source security is increasingly in the headlines, with a staggering 650% rise in open source supply chain attacks last year. New forms of attack, like "dependency confusion" are hurting organizations with alarming regularity. Given how widespread open source is within enterprise tech, one insecure package can cause a ripple effect around the globe ...
As technical recruiters know, the developer landscape today looks significantly different from the landscape of a year or two ago. Developers, like other employees, are adapting to changing workplace trends and adopting different perspectives on what work-life balance means for them ...
In the mobile app development world, security often takes a backseat to developing features and delivering the app. In fact, the 2021 Verizon Mobile Security Index found that 45% of organizations sacrificed mobile security in order to “get the job done” ...
Kubernetes is a thriving open-source project delivering rapid innovation with releases three times a year. If using fully managed Kubernetes from public cloud providers, be prepared for Kubernetes service life cycles that are aggressive ...
As containers become the default choice for developing and distributing modern applications and Kubernetes (k8s) the de-facto platform for deploying, running, and scaling such applications, enterprises need to scale their Kubernetes environments rapidly to keep up. However, rapidly scaling Kubernetes environments can be challenging ...
DevOps mentality has moved from strictly the development domain into the Ops world. As a result, traditional Ops — a model rooted in manual processes and executed by siloed teams — is dead. Traditional Ops and IT teams were already experiencing rapid change, but the pandemic sped up the adoption of more decentralized operations. Today, Ops doesn't generally refer to a team, but a responsibility. This blog will contrast Ops in a traditional environment vs. a DevOps environment, challenges to be aware of when adopting a DevOps approach, and actionable steps for organizations looking to implement a DevOps culture ...
Machine learning operations (MLOps), combining ML and software engineering, are becoming more mainstream and intend to improve the quality and speed of delivering ML models to production. Business leaders are missing out on many opportunities without proper MLOps platforms in place. So, how can companies get started? ...
The first learning from big tech is: Most large companies — wanting to adopt AI — hire teams to build internal platforms for ML practitioners. But these data scientists or ML engineers are often not familiar with enterprise software engineering. Expecting them to learn is feasible but inefficient, which is where MLOps platforms come in ...