Cloud news + analysis + trends. Architecture Design. Technology & Product Selection. Performance Management. Cost Optimization.
Covers the technical aspects, including the architecture and integration of personalization systems, performance improvements, tooling
Freshworks survey of 2000 IT professionals revealed that over 90% of IT leaders use AI to support their workloads.
A Menlo Ventures report reveals generative AI accounts for less than 1% of enterprise cloud spending
Analysis of Terraform provider downloads suggests AWS dominates the cloud market with a 65% share, surpassing Azure and GCP's combined 35%.
Regulatory discourse may intensify, with the EU's tech regulation leading and potentially spurring other regions to follow, especially concerning AI
McKinsey proposed a framework to measure developer productivity, sparking backlash from engineers who argued it focuses too much on individual developer output
AI models can validate architectures against corporate specifications and even assist in building prototypes, says Richard Seroter
How LinkedIn leverages Embedding Based Retrieval (EBR) to improve its search and recommendation systems for job seekers.
Survey by the Conference Board reveals that 56% of U.S. employees are using generative AI tools for work-related tasks, but only 26% say their organizations have established AI policies
Findings from the Q3 2023 Cloud Software Spending Survey indicate stable tech budgets, with only slight increases in companies experiencing declines.
75% of US executives believe generative AI will be a top-three emerging tech in the coming year.
Amazon Prime Video transitioned one of its monitoring services, resulting in misconceptions that they shifted from "microservices" to a "monolith."
Research by Stripe in 2018 showed developers spend substantial time on tech debt and "bad code", affecting overall productivity and feature delivery
Gregor Hohpe says cloud automation, traditionally focused on resource provisioning, is evolving with the rise of serverless applications, shifting its attention towards application-level functions
When attempting to measure technical debt, Google used three of these categories but found no single metric accurately predicted engineers' reports of it.