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ExternalSoftware Engineering
DZone

Building Internal Developer Platforms on Kubernetes: The Abstraction Problem Nobody Warns You About

Introduction The meeting that changed the platform team's direction was not a technical one. It was a conversation with a product engineer who had been at the company for eight months and had never successfully deployed to production without help from someone on the platform team. Not because she lacked skill.  She was smart, experienced, and had successfully launched production systems at two previous jobs, but getting a working service into production meant dealing with fifteen different confi

DZoneRead original
ExternalCloud
Google Cloud Blog

Governance on autopilot, minus the turbulence

Every data team knows the moment. Someone opens a table, sees a column called cust_seg_flg, and has to go ask around to find out what it means, whether it's safe to use, and whether anyone has already answered that question in another dashboard three teams over. Multiply that by thousands of tables and views, and you get the real cost of governance debt: not a compliance failure, but a daily tax on every person trying to do honest work with your data. Most governance tooling today is reactive. Y

Data Analytics
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

Building cost-effective, high-throughput gen AI workflows in Google Dataflow

Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to transaction logs. Traditionally, streaming DAGs are static; once deployed, their processing logic and execution paths are fixed. However, by integrating generative AI agents, we can move beyond static logic to adaptive execution. This allows streaming workflows to dynamically construct plans, query databases, and trigger custom remediation pat

AI & Machine LearningStreamingData Analytics
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

How Box is unlocking multimodal enterprise agents with Gemini Embeddings 2

Enterprise content management is experiencing its biggest architectural shift since the cloud migration era.  For years, enterprises have stored trillions of gigabytes of critical data in Box: financial models, clinical trial protocols, M&A due diligence rooms, engineering schematics, and legal compliance playbooks. Up to this point, text-based search and retrieval-augmented generation (RAG) have successfully unlocked the vast narrative knowledge within these repositories, establishing a powerfu

AI & Machine LearningCustomersData Analytics
Google Cloud BlogRead original

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