Cloud Architecture
Designing a landing zone before the first workload
Why project hierarchy, identity and network boundaries are cheaper to decide before migration waves begin than after.
7 min read
Insights
Notes from the practice
Architecture decisions, data platform engineering and applied AI — written by the people doing the work, for the people who have to live with the result.
Data & Analytics
What actually makes enterprise data AI-ready
Grounding an AI system requires less exotic infrastructure and more ordinary data discipline than most roadmaps assume.
6 min read
Artificial Intelligence
Build the evaluation harness before you tune the prompt
Without an agreed definition of a good answer, prompt iteration is opinion exchange with a deployment step attached.
5 min read
Case studies
Three representative engagements — a BigQuery warehouse migration, predictive maintenance on Vertex AI, and generative AI document processing — covering the situation, the decisions and the architecture in each.
View case studiesFrom the source
Latest from Google Cloud
Announcements and engineering posts published by Google Cloud, updated hourly. Headlines link to the original articles.
Introducing the AlloyDB Omni web UI for easier cluster observability
Managing PostgreSQL databases across on-premises, edge, and multi-cloud environments often forces administrators to rely on command-line tools, making it hard to see cluster…
Read more: Introducing the AlloyDB Omni web UI for easier cluster observability (opens on cloud.google.com in a new tab)Near-zero downtime upgrades: Announcing Cloud SQL for MySQL blue-green deployments
Keeping production databases on supported versions shouldn’t require giving up your weekend. To stay secure, compliant, and with the best performance and newest AI capabilities,…
Read more: Near-zero downtime upgrades: Announcing Cloud SQL for MySQL blue-green deployments (opens on cloud.google.com in a new tab)Behind the scenes, two months later: How we ship Google Agent Skills like products
In my previous post, I took you behind the scenes of Google Agent Skills, covering how the project started, how we maintain quality at scale, and how we handle governance. In this…
Read more: Behind the scenes, two months later: How we ship Google Agent Skills like products (opens on cloud.google.com in a new tab)How to troubleshoot GKE workloads faster with VPC Flow Logs
Having visibility into your network traffic is essential to operating Kubernetes environments effectively. When a service slows down or loses connectivity, knowing who is talking…
Read more: How to troubleshoot GKE workloads faster with VPC Flow Logs (opens on cloud.google.com in a new tab)How GKE networking scales to support high densities of concurrent AI agents
What do you need to orchestrate high-density concurrent AI agents? As we transition from static requests toward autonomous agentic workflows, the need for secure, high-density…
Read more: How GKE networking scales to support high densities of concurrent AI agents (opens on cloud.google.com in a new tab)Step into a new dimension with XREAL AURA, the first-of-its-kind wired XR glasses
The world of work is rapidly evolving, and with it, the tools we use to stay productive and connected. As AI adoption transforms daily workflows, form factors like XR headsets and…
Read more: Step into a new dimension with XREAL AURA, the first-of-its-kind wired XR glasses (opens on cloud.google.com in a new tab)
Headlines are published by Google Cloud and are reproduced here for reference. CloudSight Analytics is not the author of this content.
From reading to doing
Turn an idea here into an engagement.
If something above describes a problem you recognise, the next step is usually a short conversation rather than a proposal.