Confused about Cloud? Here is a Primer to get all Your Doubts Answered - Build What's Next

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Confused about Cloud? Here is a Primer to get all Your Doubts Answered

When you have decided on moving workloads to the cloud, the task of choosing the right cloud platform can be a tough one with many questions looming in your mind. From which specific product to choose from the plethora of options available to how and where to store your data in the cloud to how secure is your data to how to get started on new and interesting projects like artificial Intelligence and machine learning, the questions can be endless.

However, what you need are answers for making a decision.

Get answers to some of the most commonly asked questions by customers from the Google Cloud Customer Engineers directy. From understanding the role of a Google Customer Engineer and how they can help you in your cloud journey to understanding the various products within the Google Cloud Platform for Infrastructure as a Service for hosting and running both managed VMs and containerized applications and Platform as a Service for building applications to the various fully managed data storage options for structured, unstructured, transactional or relational data, they have the answers to all your questions.

Watch this video to get answers to all your questions.

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Explainer

A Quick Guide to Cloud Monitoring

Cloud Monitoring is a tool that allows you to gain visibility into the performance, availability, and health of your applications and infrastructure. In this video, we show you what Cloud Monitoring is and how you can use it to custom define service-level objectives (SLOs), monitor application metrics, and the overall health of your applications infrastructure. Watch to learn how you can use Cloud Monitoring!

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How does Google Pick its Data Center ?

Google is well known for its sustainable tech and hardware initiatives. Did you know alongside its environmental friendly designs of its data centers, it takes into account various factors such as redundant power supplies, data replication, network connectivity, etc. Watch the video to learn more.

Case Study

Synopsys & Google Cloud: Helping Semiconductor Companies Drive Electronic Design Automation Innovation

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Discover how Synopsys and Google Cloud are revolutionizing semiconductor design through EDA innovation in the cloud. Learn how this collaboration empowers chip designers, accelerates time-to-market, and lowers costs for the entire product life cycle.

Google Cloud and Synopsys Inc are partnering to help semiconductor companies drive Electronic Design Automation (EDA) innovation in the cloud to accelerate time to market, and lower costs across the entire semiconductor product life cycle. Synopsys is the industry’s largest provider of EDA technology used in the design and verification of integrated circuits, or semiconductor chips. Bringing Synopsys technology onto Google Cloud enables customers to benefit from scalable cloud bursting and complementary licensing models to help them quickly deploy and scale Synopsys’ EDA tools. Semiconductor companies can significantly accelerate chip design and production, increase designer productivity, and empower innovation in power-performance-area optimization.

Google Cloud Platform has enabled high performance computing workloads, such as those used by today’s semiconductor chip designers, to deliver exceptionally fast results and reduce prototyping from years to months. Google Cloud’s HPC services have delivered highly scalable solutions across multiple industries – from scientific research to autonomous vehicle testing and simulation.

EDA software is a large consumer of high performance computing capacity in the cloud. With the release of Synopsys Cloud bring-your-own-cloud (BYOC) solution on Google Cloud, chip designers can now scale their Google Cloud infrastructure with Synopsys’s leading EDA tools under the flexible FlexEDA pay-per-use model and access unlimited EDA software license availability on-demand by the hour or minute.

The Synopsys Cloud BYOC deployment architecture on Google Cloud is enabled through their unique cloud metering service which uses Google Cloud regional MIGs (Managed Instance Groups) for autoscaling and multi-zone deployment. This enables the service to scale up to meet customer workload demands and scale down to optimize costs. Secrets used by Synopsys Cloud are securely stored in Google Secret Manager and usage data is encrypted using Google Cloud key management, providing customers with a highly secure design environment.

Synopsys Cloud also leverages Google Cloud’s Ops Agent and Operations Suite Dashboards are used to show metric data, alerting policies, and log entries, providing customers with detailed analytics visibility to make better chip design project lifecycle management decisions. The Synopsys Cloud BYOC solution has been validated with EDA workloads scaling out to thousands of cores on Google Cloud, using Google Filestore network file storage during validation to provide the highest throughput performance.

Vikram Bhatia, Head, Synopsys Cloud Product Management, Synopsys said, “With the release of Synopsys Cloud BYOC solution on Google Cloud, we are transforming the way our mutual semiconductor customers can design the chips of the future. Google Cloud has been leading the innovation wave for semiconductors in the cloud and we are excited about being an early adopter in leveraging those innovations for our unique EDA offerings on the cloud.” Customers can evaluate a full featured Synopsys Cloud BYOC environment on Google Cloud for free by signing up at: synopsys.com/cloud.

“Combined with GCP’s unique platform services for AI, security, and shared storage, the Synopsys Cloud BYOC solution creates a compelling package for semiconductor designers who will create the next generation of chips for the world’s insatiable needs” says Simon Floyd, Industry Director, Manufacturing & Transportation, Google Cloud.

Google Cloud provides everything you need, including free Google Cloud credits to get you up and running. Click here to learn more about Semiconductors on Google Cloud.

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Case Study

Metro Consolidates 100 SAP Instances on Google Cloud

German retailer Metro, with operations in 25 countries across Europe and Asia and employing over 150,000 people, decided to consolidate its 100 SAP instances into one SAP S/4HANA system running on the Google Cloud Platform.

This helped the company lower costs, increase efficiency, and improve customer experience. In addition, the company is using Google BigQuery and advanced analytics to increase its sales.

Watch Timo Salzsieder, Metro CIO/CSO, explain the company’s journey with SAP on Google Cloud.

Whitepaper

Google Cloud Garners Highest Score in Forrester New Wave for Computer Vision Platforms

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In Forrester’s evaluation of the emerging market for computer vision platforms, it identified the 11 most significant providers in the category — Amazon Web Services, Chooch AI, Clarifai, Deepomatic, EdgeVerve, Google, Hive, IBM, Microsoft, Neurala, and SAS — and evaluated them.

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Its report details its findings about how well each vendor scored against 10 criteria and where they stand in relation to each other.

Google Cloud was classified as “differentiated” (the highest class) across all 10 criteria.

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Find out more. Download The Forrester New Wave™: Computer Vision Platforms, Q4 2019.

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When ATB Financial decided to migrate its vast SAP landscape to the cloud, the primary goal was to focus on things that matter to customers as opposed to IT infrastructure. Based in Alberta, Canada, ATB Financial serves over 800,000 customers through hundreds of branches as well as digital banking options. To

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