Let the queries begin: How we built our analytics pipeline for NCAA March MadnessLet the queries begin: How we built our analytics pipeline for NCAA March MadnessStaff Developer Advocate
There are lots of great tools for machine learning, and there are lots of ways to solve a machine learning problem. The key is using the right tool for the right situation. While Scikit-learn, TensorFlow, Keras, and PyTorch all have their merits, for this case, BigQuery ML’s ease and speed can’t be beat.
Get fast, reliable messaging with IBM MQ on Compute EngineGet fast, reliable messaging with IBM MQ on Compute EngineSolutions Architect, Google Cloud PlatformIBM MQ development, IBM
Moving data is one essential task for enterprises today, especially if you’re using lots of different systems across many locations. One product for this is IBM MQ, which helps you move data dependably with secure messaging. Deploying a highly available IBM MQ cluster in the cloud is not a straightforward task, and IBM provides many clustering configurations you can use and combine in various ways to achieve your high availability goals. It’s challenging to deploy a cluster like this in a way that takes advantage of cloud’s benefits, like multiple zone availability, load balancers and vertical scaling. But once you’ve got it set up, you can safely move, integrate and process data from within applications across your organization quickly and securely, with multiple petabytes of data processed.
How Auto Trader UK, the UK’s largest automotive marketplace, uses Istio and Google Kubernetes Engine to drive changeHow Auto Trader UK, the UK’s largest automotive marketplace, uses Istio and Google Kubernetes Engine to drive changeHead of Corporate UKI, Google Cloud
Brand-new or second-hand? Diesel or electric? Convertible or SUV? Buying a car means choosing from a plethora of options, and that can be hard for some people to navigate. As a result, retailers are constantly rethinking their technology offerings—which means digital transformation must move just as fast.
Setting a course to the future of cloud computingSetting a course to the future of cloud computingEditorial Lead, Google Cloud
Good technologies solve problems. Great ones deliver new ways to think about ourselves and the future.
Think of the rich worlds seen through the telescope and the microscope, or space explorations that have broadened the sense of our place in creation. There is that “bicycle for the mind,” as Steve Jobs called the personal computer. Romance, entertainment, and personal needs have been transformed by online life. In every case, the attributes of the machines fire and empower human imagination.
From CCIE to Google Cloud Network Engineer: four things to think aboutFrom CCIE to Google Cloud Network Engineer: four things to think aboutSolution Architect, Google Cloud
From a configuration, operation, and troubleshooting standpoint, the cloud has a lot of roads to the proverbial top of Mount Fuji. Figure 5 shows the different the different paths available. You are free to choose the one that best maps to your skill level and is most appropriate to complete the task at hand. While Google Cloud has a CLI-based SDK for shell scripting or interactive terminal sessions, you don’t have to use it. If you are developing an application or prefer a programmatic approach, you can use one of many client libraries that expose a wealth of functionality. If you’re an experienced programmer with specific needs you can even write directly to the REST API itself. And of course, on the other end of the spectrum, if you are learning or prefer to use a visual approach, there’s always the console.
Making the machine: the machine learning lifecycleMaking the machine: the machine learning lifecycleDeveloper Programs Engineer
Over the last month I’ve poured a bit of time … (everything that my clients didn’t get) into UltimateSEO.org and by chance UltimateSEO.net which was unregistered. UltimateSEO.org was the focus because previous to my use someone else used it and built it up to a domain authority of 36. Its taken me over six months to engineer this domain to a 29 so I wanted to see what I could do with a slightly further ahead domain name that included keywords. This began the experiment.
Improving the developer experience with the enhanced Apigee Developer PortalImproving the developer experience with the enhanced Apigee Developer PortalProduct Manager, Apigee
Part and parcel of modern enterprise development is building APIs that enable you to expose your services to developers both inside and outside your organization. But just building APIs isn’t enough. Getting APIs and API programs to market successfully hinges on convincing your developers to actually use them. And the key driver of getting developers to adopt and consume APIs, both within a company or among the wider developer community, is the developer portal.
Do you have an SRE team yet? How to start and assess your journeyDo you have an SRE team yet? How to start and assess your journeyCustomer Reliability Engineer
We’re pleased to announce that The Site Reliability Workbook is available in HTML now! Site Reliability Engineering (SRE), as it has come to be generally defined at Google, is what happens when you ask a software engineer to solve an operational problem. SRE is an essential part of engineering at Google. It’s a mindset, and a set of practices, metrics, and prescriptive ways to ensure systems reliability. The new workbook is designed to give you actionable tips on getting started with SRE and maturing your SRE practice. We’ve included links to specific chapters of the workbook that align with our tips throughout this post.
Introducing Feast: an open source feature store for machine learningIntroducing Feast: an open source feature store for machine learningStrategic Cloud EngineerData Science Platform Lead at GO-JEK
To operate machine learning systems at scale, teams need to have access to a wealth of feature data to both train their models, as well as to serve them in production. GO-JEK and Google Cloud are pleased to announce the release of Feast, an open source feature store that allows teams to manage, store, and discover features for use in machine learning projects.
Peak performance: How retailers used Google Cloud during Black Friday/Cyber MondayPeak performance: How retailers used Google Cloud during Black Friday/Cyber MondaySr. Director, Cloud Support
At Google Cloud, we work with businesses in a range of industries, and we’ve seen nearly every business experience peak events when their online traffic skyrockets. For retailers, their peak events are Black Friday and Cyber Monday (or BFCM)—the period right after Thanksgiving in the U.S., when holiday shopping starts. The weekend kicks off the all-important holiday shopping season of November and December, when an estimated 20% of all annual retail sales occur.
Developing applications today comes with lots of choices and plenty to learn, whether you’re exploring serverless computing or managing a raft of APIs. In today’s post, we’re sharing some of our top videos on what’s new in application development on Google Cloud Platform (GCP) to find tips and tricks you can use.