Deep dives of the week
Generative AI keeps rolling out with breath-taking advancements. Last week, Google Cloud unveiled a slew of generative AI tools for developers for application development, ML modeling, and more. Meanwhile, Microsoft continues to up the ante: Azure introduced new VMs for generative AI that exa-scale LLMs by 30x over the previous generation.
In this week's special package of NPW Insights, we're showcasing four diverse developments from Google, Netflix, Azure, and Shopify that demonstrate the wide-ranging innovation driven by AI/ML today.
Our other spotlight this week is on serverless technology, which has been one of the most consequential technologies in cloud computing lately. But with the enterprise-ification of this technology, says an experienced cloud architect, new challenges are emerging. A must-read musing.
Finally, don't miss the fascinating story of an engineering team that took on the unconventional task of migrating from Lambda to Kubernetes, how they successfully bridged the gap between the two technologies for a smooth transition.
Serverless after 8 years
Cloud architecture pro Mike Roberts says serverless has expanded beyond FaaS and BaaS to serverless backend compute, and even being slapped on as a label to services which are not serverless (don’t scale down to zero.) Also, identifies challenges emerging with the enterprise-ification of serverless. Products suffering from feature bloat and coherence (new feature not compatible with the old). And lack of guidance on building moderately-sized services with Lambda is giving rise to Lambdaliths, and the number of Lambda Functions problem. Must-read musings on one of the most consequential cloud technologies BLOG
Google Cloud rolls out generative AI tools for developers
PaLM API, a service that lets you build on top of Google’s LLMs, and MakerSuite, which brings features for prompt engineering, synthetic data generation, and model tuning, were the core highlights. In addition, text generation features coming to Google workspace. UPDATE