In software delivery, there is no question that speed is important. When software teams move fast, good things happen and business value is delivered more frequently. But, speed comes with a tradeoff: complexity. As this complexity grows, how can engineering teams succeed? After analyzing millions of workflows from more than 50,000 organizations across the world, I've outlined some ways teams can start optimizing their software delivery for high performance ...

Developers have been more productive than ever during the past couple of years due largely to the shift to remote work, as they often thrive in isolated workspaces and need long periods of uninterrupted focus. Though, regardless of how much developer teams may want to stay remote forever, 74% of US companies are using or planning a permanent hybrid work model. So what does this mean for developer teams in today's work environment? ...

As digitalization continues pushing applications and services to the cloud, many companies discover that traditional security, compliance and observability approaches do not transfer directly to cloud-native architectures. This is the primary takeaway from Tigera's recent The State of Cloud-Native Security report ...

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 ...

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? ...

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? ...

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 ...