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Cloud is a good fit for modern applications, but most enterprise workloads aren’t exactly modern. Security problems and unmet expectations are sending companies packing.
A lot of different skills are needed to create a genAI system that can do the most for your business. Here’s a description of the important roles.
Without basic computer architecture best practices, generative AI systems are sluggish. Here are a few tips to optimize complex systems.
Technical leaders are not just great technologists, they also understand the business side of things. Here are five ways to grow your business acumen and do more with your career.
Microservices break up monolithic code into discrete chunks that are easier to maintain. Here's an overview and a look at the pros and cons of migrating to a microservices architecture.
Great documentation is important for humans, but more so for machines. The concept of ‘tiered documentation’ means that both developers and LLMs get what they need.
There is so much interest in GPUs for generative AI deployment and for some good reasons. However, in some cases, they are overkill and too expensive.
Survey of 13,000 developers finds that most believe AI will reduce their workload and want to use AI more, but many remain skeptical.
Research agrees: Most businesses need help with cloud-focused digital transformation efforts. Luckily, most wounds are self-inflicted and easily avoided.
Nothing hurts developer productivity like bad management. Keep your dream team motivated by avoiding these common mistakes.