To mark the 10th anniversary of Site Reliability Engineer: How Google Runs Production Systems, we are excited to announce a completely rewritten second edition that reflects a decade of lessons and offers fresh guidance for today's operational challenges. We published the Google SRE book in 2016 to share how our teams treated operations as a software engineering problem to run highly reliable global services. Obviously, things have moved on since. Editors Betsy Beyer, Chris Jones, Christof Leng, David Huska, Jennifer Petoff, and Niall Murphy worked with over 150 contributors to capture what SRE looks like today at Google and other organizations and to spark a wider industry conversation about SRE and its future. Learn more → https://lnkd.in/gv-f-M_J
Google Cloud
Software Development
Mountain View, California 3,467,488 followers
The new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
-
https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
-
Start a code migration in your CLI, close your laptop lid, and review the finished PR on your phone. Because Gemini now runs persistently in the cloud, your agent doesn't die when your machine sleeps. Here are the 5 architecture updates from #GeminiAtWork in 2 minutes: 1. One Cloud Agent: One window and memory across CLI, web, mobile, desktop, browser, Workspace, M365, ServiceNow & Slack. 2. Knowledge Catalog: Live schema context across your data estate without re-indexing. 3. Borderless Lakehouse: Activate all of your data, without moving it and with no variable egress fees. 4. Security & Governance: Cryptographic Agent Identity, isolated Sandbox VMs & Agent Gateway firewall. 5. Smart Routing & Spend Caps: Route across Gemini, Claude & Gemma at 1/3 the cost and 4x the speed, with hard Cloud Billing caps. Watch the full livestream →https://goo.gle/4z4ay5L
-
Taking a new propensity model from data discovery, to a live marketing campaign and executive dashboard, usually takes months of handoffs between data scientists, ML engineers, and BI analysts. In this 4-minute live demo from #GeminiAtWork, Gabe Weiss runs the entire lifecycle grounded in Knowledge Catalog: • Data Discovery & PySpark: Generates live PySpark code pushing zero-copy joins to Lightning Engine—identifying 52,000+ bank customers saving an average of $3,400. • Explainable ML on Managed Spark: Trains an XGBoost model on 3 years of BigQuery history (90% accuracy, 85% precision) and publishes it to Knowledge Catalog. • Campaign to Zero-Token BI: Invokes the cataloged model to stage a campaign in Google Marketing Platform and builds a live dashboard that refreshes across county filters using zero LLM tokens.
-
Predicting equipment failure before it causes costly downtime isn’t just an operational upgrade; it’s the future of industrial intelligence. Honeywell Technologies is partnering with Google Cloud to bring the power of AI directly into industrial operations. With Gemini, Honeywell Technologies is driving the next generation of predictive maintenance. AI + Controls: Bringing AI and control systems together to turn complex operational data into actionable intelligence in real time. Predictive Maintenance: Moving beyond scheduled service intervals to actively anticipate system failures before they occur. Operational Uptime: Helping industrial leaders reduce unexpected downtime, optimize maintenance schedules and protect critical assets. When advanced AI meets industrial controls, maintenance can shift from reactive troubleshooting to proactive, predictive operations. Watch the clip to see how Honeywell Technologies and Google Cloud are transforming predictive operations.
-
Deploy your first agent with a little help from this course in the GEAR series → https://goo.gle/4B2qLtu Learn how to take your agents from localhost to production—and earn a skill badge too!
-
-
Lloyds Banking Group, one of Britain's largest banks, is putting Gemini to work for customers and colleagues in a highly regulated industry.
-
Ireland has built a reputation as a major global tech hub. Now, Irish organizations across the public sector, enterprise, and startup ecosystem are putting Gemini directly into production. By adopting open, secure, and scalable cloud architectures with Google Cloud and Gemini Enterprise, Irish leaders are shifting from reactive data pipelines to action-oriented, agentic capabilities: ✈️ Ryanair - Europe's Favourite Airline, Europe’s largest airline, is modernizing its collaborative operations and infrastructure by deploying Gemini Enterprise and Google Workspace for some 35,000 employees. 🧩 Smyths Toys Superstores: Built a customer support agent called Codie, automating over 60% of web-based customer inquiries and reducing peak holiday email backlogs. 📡 Virgin Media Ireland: Modernized its infrastructure to deploy workloads 3x faster and more reliably while rolling out intelligent customer service agents. From logistics to retail and public services, Irish organizations are setting a new standard for real-world impact across the market. Read more → https://goo.gle/4yaF7oU
-
Today, we are announcing our new Gemini agent for your business—a universal cloud agent running 24/7 to get your work done. It arrives knowing your tools, data, and work history; it works across knowledge work, content, and code; and it comes with built-in governance to help your data stay secure and cost stay in control → https://goo.gle/4rV9zSx
-
Today's newsletter offers a look at Thomas Kurian’s #GeminiAtWork keynote. The technology is here, our global partner ecosystem is scaling, and Gemini is ready to work for you. Delegate an outcome and come back to finished work. Learn all about it ↓
-
What if your data teams could get answers to complex questions in minutes instead of hours? That’s what Carrefour set out to solve with its Data Platform Assistant, an AI agent built on Google Cloud and integrated directly into Google Chat. Using Google Cloud ADK, Gemini, Agent Search, Cloud Run and BigQuery, the assistant taps into internal knowledge to provide accurate answers and sample SQL queries — right where employees already work. A great example of how agentic AI can reduce repetitive work and free up engineering teams for higher-value challenges. Read the full story → https://goo.gle/4dV8DYq
-