Updated: 2024-05-31 17:00:00
AI Machine Learning Anthropicâ s Claude 3 Opus and tool use are generally available on Vertex AI June 1, 2024 Nenshad Bardoliwalla Director , Product Management , Vertex AI Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it In April , we made Anthropicâ s most intelligent model , Claude 3 Opus available in public preview on Vertex AI Model Garden for customers to start experimenting with . Now , weâ re announcing that Claude 3 Opus is generally available on Vertex AI Weâ re also excited to announce that tool use is available for all Claude 3 models on Vertex AI , helping to enable more agentic workflows , and provisioned throughput is now available for enterprise-grade reliability and . performance The addition of Claude 3 Opus represents a milestone ,
Updated: 2024-05-31 16:00:00
Data Analytics Build a hybrid data processing footprint using Dataproc on Google Distributed Cloud June 1, 2024 Antonio Scaramuzzino Senior Product Manager Chris Nauroth Senior Staff Software Engineer Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Google Cloud customers interested in building or modernizing their data lake infrastructure often need to maintain at least part of their workloads and data on-premises , because of regulatory or operational . requirements Thanks to Dataproc on Google Distributed Cloud introduced in preview at Google Cloud Next â24, you can now fully modernize your data lake with cloud-based technology , while building hybrid data processing footprints that allow you to store and process on-prem data that you canâ t move to
Updated: 2024-05-31 16:00:00
Application Modernization Cloud Run : the fastest way to get your AI applications to production June 1, 2024 Daniel Strebel EMEA Solutions Lead Application Modernization Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Itâ s no secret that Cloud Run offers one of the most straightforward ways for delivering AI-powered applications to production , letting developers focus on their application logic without having to worry about the underlying infrastructure or how to scale from zero to millions of users . But did you know that Cloud Run is also many customersâ platform of choice for providing their AI researchers with tools they need to run and productionize their experiments outside of their trusted Python notebooks  Cloud Run provides a number of
Updated: 2024-05-30 16:00:00
: , , Security Identity Coalfire evaluates Google Cloud AI : âMature,â ready for governance , compliance May 31, 2024 Jeanette Manfra Senior Director , Global Risk Compliance , Google Cloud Nick Godfrey Senior Director , Office of the CISO , Google Cloud Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it At Google Cloud , we've long demonstrated our commitment to responsible AI development and transparency in our work to support safer and more accountable products , earn and keep our customersâ trust , and foster a culture of responsible innovation . We understand that AI comes with complexities and risks , and to ensure our readiness for the future landscape of AI compliance we proactively benchmark ourselves against emerging AI governance frameworks.Â
Updated: 2024-05-30 16:00:00
Data Analytics Accelerating CDC insights with Dataflow and BigQuery May 31, 2024 Sergei Lilichenko Solutions Architect , Google Cloud Mehran Nazir Product Manager , Google Cloud Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Data-driven companies are increasingly infusing real-time data into their applications and user experiences , especially with the advent of new technologies that make data capture more on-demand â and at a higher volume â than ever before . Change data capture CDC is a long-standing mechanism that data practitioners use to connect their transactional systems with their analytical warehouses . Historically , customers have had to manage temp tables and schedule merge statements to keep their systems in sync , which can be a lot of
Updated: 2024-05-30 16:00:00
Data Analytics Easily stream data from AWS Kinesis to Google Cloud with Pub Sub import topics May 31, 2024 Jaume Marhuenda-Beltran Software Engineer Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Many companies use a multi-cloud model to support their business , whether itâ s to avoid being tied to one provider , to increase redundancy , or to take advantage of differentiated products from different cloud providers. One of Google Cloudâ s most beloved and differentiated products is BigQuery , which offers a fully managed , AI-ready multi-cloud data analytics platform . BigQuery Omni provides a unified management interface where you can use BigQuery to query data in AWS or Azure , and see the results displayed in the Google Cloud console . Then , if
Updated: 2024-05-30 16:00:00
Compute Five ways to save on Compute Engine costs May 31, 2024 Maciej Strzelczyk Developer Programs Engineer , Google Cloud Platform A penny saved is a penny earned Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Compute Engine offers a variety of ways to reduce costs , from optimizing your infrastructure to taking advantage of discounts . In this two-part blog post , I'll share some practical tips that can help you save money on Compute Engine . Whether you work for a small business just getting started with the cloud or a large enterprise looking to optimize its spending , there's something for everyone in this . guide 1. Inspect your current spending structure Before you start on a journey to optimize your Compute Engine budget , it would be nice to
Updated: 2024-05-29 16:00:00
Startups VESSL AI builds end-to-end MLOps platform with Google Cloud May 30, 2024 Jaeman An CEO and Co-founder at VESSL AI Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Despite AIâ s potential to drive competitive advantages , realizing its business value remains a challenge . Organizations are still struggling to move AI projects beyond experimentation , with some estimates in the last few years indicating that more than half of machine learning ML pilots fail to make it to production. ML systems are full of hidden technical debt . ML code represents only a small fraction of the infrastructure , components , and processes that are required to realize real-world ML systems . Todayâ s ML teams need streamlined , efficient workflows to enhance their
Updated: 2024-05-29 16:00:00
Databases Introducing Cloud SQL extended support for MySQL and PostgreSQL end-of-life versions May 30, 2024 Rahul Deshmukh Senior Product Manager , Google Cloud Sujatha Mandava Director , Product Management Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it As a fully-managed database service , Cloud SQL supports multiple major versions of MySQL , PostgreSQL and SQL Server , each of which introduces essential features , performance improvements , and security enhancements . As newer open-source software OSS major versions are introduced , older versions are discontinued by the database engine community , prompting organizations to upgrade to newer . versions At Google Cloud , we understand that upgrading to a newer major version can be complex and
Updated: 2024-05-29 16:00:00
Application Development 5 myths about platform engineering : what it is and what it isnâ t May 30, 2024 Darren Evans EMEA Practice Solutions Lead , Application Platform Steve McGhee Reliability Advocate , Google Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it The parable of the blind men and the elephant provides us with a way to understand why people can disagree on a new topic : by looking at it from only their own perspective , they miss out on the greater whole . Platform engineering is a relatively new approach to software delivery that is being examined by IT organizations and software engineering teams â with a lot of disagreement between them about what it is , what it does , and why you should or should not adopt . it We believe that it's
Updated: 2024-05-28 16:00:00
Startups Architecting a blockchain startup with Google Cloud May 29, 2024 Hiroyuki Momoi Google Cloud , Customer Engineer Yanjun Zhou Google Cloud , Customer Engineer Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Editorâ s note : Todayâ s post includes content from our Google Cloud Technical Guides for Startups video series , which includes detailed guides to support startups along every step of the growth journey . Watch the entire series on-demand on the Google Cloud Tech channel or directly on our website â and donâ t forget to subscribe to stay up to . date Blockchain technology is finding real-world applications in industries around the world , with blockchain startups leading the way in areas like gaming , financial services , and identity
Updated: 2024-05-28 16:00:00
Networking Whatâ s new for the Google Cloud global front end for web delivery and protection May 29, 2024 Peter Blum Group Product Manager Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it The Google Cloud global front end is a solution we launched last year as part of Cross-Cloud Network that helps customers deliver and protect internet-facing web services using the same technologies , infrastructure , and teams that we use for our own Google web services . By leveraging the power of our global Cross-Cloud Network , it can do this for workloads hosted not only in Google Cloud but other public clouds , co-location and on-prem data centers. The global front end solution consists of the Cloud External Global Application Load Balancer providing
Updated: 2024-05-28 16:00:00
Networking FQDN filtering in Cloud Next Generation Firewall : A complete guide May 29, 2024 Akshay Jain Cloud Technical Solutions Engineer , Networking , Google Indrabhushan Shukla Cloud Technical Solutions Specialist , Networking , Google Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Ever struggled with managing firewall rules for sites like Google In the past , it meant manually listing every single IP address associated with your domain . Talk about a headache But guess what Things just got a whole lot easier With the new FQDN feature in Cloud Next Generation Firewall NGFW you can simply specify the domain name like www.google.com in your firewall rule . No more endless lists of IP addresses to keep track of In the dynamic landscape of cloud
