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Today i had a great oppurtunity to discuss with @ilias about Google cloud platform and one of the great community C2C. We discussed in detail about how community can help you grow in your career!Link to Spotify - https://lnkd.in/ed32HTSYoutube - https://lnkd.in/eJBZ-pv
Establishing a mature MLOps practice to build and operationalize ML systems can take years to get right.As you start your MLOps journey, you might not need to implement all of these processes and capabilities.To help ML practitioners translate the framework into actionable steps, this blog post highlights some of the factors that influence where to begin, based on our experience in working with customers.You can get started with MLOps using the following Vertex AI resources: MLOps: Continuous delivery and automation pipelines in machine learning Getting started with Vertex AI Best practices for implementing machine learning on Google Cloud Google Cloud Blog
Data Preparation takes a lot of time. It doesn’t matter if you are a beginner or an experienced data analyst. You are going to spend a lot of time on Data Wrangling.You have the option to use your Jupyter Notebook or you can use Dataprep by Trifacta. And you can do everything without writing a single line of code. Awesome, right?In this article, Priyanka has created cheat sheet with her drawings
Just read this article. It is about Google Cloud’s new Visual Inspection AI solution, which has been purpose-built for the industry with Google Cloud’s best artificial intelligence (AI) and computer vision technology to solve this problem at production scale. It can run on-premise, it has a short time to value, and uses Google’s Computer Vision and ML for the inspection tasks.What do you think? Image Source: Google Cloud Blog
Hey Folks! This article, written by Megan O'Keefe (Developer Advocate), was originally published on the Google Cloud Tech Blog. This is the first post in a multi-part series on building developer platforms with the Kubernetes Resource Model (KRM). Part 2 and Part 3 are now also available on the Tech Blog! In today’s digital world, it’s more important than ever for organizations to quickly develop and land features, scale up, recover fast during outages, and do all this in a secure, compliant way. If you’re a developer, system admin, or security admin, you know that it takes a lot to make all that happen, including a culture of collaboration and trust between engineering and ops teams. But building culture isn’t just about communication and shared values— it’s also about tools. When application developers have the tools and agency to code, with enough abstraction to focus on building features, they can build fast without getting bogged down in infrastructure. When security admins have s
BigQuery row-level security is now generally available, giving customers a way to control access to subsets of data in the same table for different groups of users. Row-level security (RLS) extends the principle of least privilege access and enables fine-grained access control policies in BigQuery tables. BigQuery currently supports access controls at the project-, dataset-, table- and column-level. Adding RLS to the portfolio of access controls now enables customers to filter and define access to specific rows in a table based on qualifying user conditions—providing much needed peace of mind for data professionals. Read more here: https://cloud.google.com/blog/products/data analytics/bigquery-provides-tighter-controls-over-data-access
Hi All,Came across this free resources and hence sharing the same.https://github.com/sathishvj/awesome-gcp-certifications Emberly - Personal knowledge library for visual people https://acloudguru.com/blog/news/whats-free-at-acg-june-2021 https://www.youtube.com/c/LearnGCPwithMahesh
Accessing data in real time enables your company to analyze, plan and improve continuously, so you can make better strategic decisions and reduce your overall risk.But any system can move only as fast as its slowest bottleneck.Read here how with Google Cloud’s Datastream, a serverless change data capture and replication service, and MongoDB Atlas, you can set up a real-time analytics pipeline that continually streams data from legacy relational data stores (like Oracle and MySQL) into MongoDB Atlas. Do you want to learn more about Datastream? Sign-up for our eventImage Source: Google Cloud Blog
Hey Folks! This embedded video, created by Ryan Matsumoto (Developer Advocate), was originally published on the Google Cloud Tech YouTube Channel. Workflows from Google Cloud is a tool that allows you to orchestrate and automate Google Cloud and HTTP-based API services with serverless workflows. In this episode of Cloud Bytes, we speak to what Workflows is and how you can use it to automate your application services. Watch to learn how you can use Workflows to integrate tasks, microservices, and APIs. Get started with Workflows → https://goo.gle/2TngZl6Watch more episodes of Cloud Bytes → https://goo.gle/3dFPPdM We’d love to talk to you about Wortkflows. Feel free to reach out to us directly here with any questions or comments you might have. We’d also be happy to schedule time to host something informal on the community to dive in deeper, or just clarify wherever we can— The Cloud Developer Relations team.
In this episode of #AskGoogleCloud, Developer Advocates Stephanie Wong, Dale Markowitz and Sara Robinson answer your burning questions about AI/ML, including the difference between Vertex AI and Cloud AI Platform, how to do ML on a budget, and more.AI and ML: #AskGoogleCloud Live Q&A
Get a sneak peek at the Security SummitThe first-ever Google Cloud Security Summit on Tuesday, July 20, at 9 AM PDT. This three-hour digital event will be packed with content designed to help you keep your organization secure in the cloud, on-premises, or in hybrid environments.Join us to learn how our trusted cloud can help you stay ahead of the next generation of threats, and get fresh insights to solve your most critical security challenges. Together, we'll reimagine how security should work in the cloud. During the event, you'll be able to:Hear what's new from industry leaders. Join our opening keynote and immersive sessions to learn how Google Cloud is transforming security to meet today's challenges in a more flexible, data-driven way. Our leading experts will share our latest security innovations.Gather insights from our interactive sessions. Choose to join sessions that focus on building a zero-trust architecture, implementing shared-fate risk management, and achieving digital
Hello Everyone,Hope you’re all staying safe & healthy.I would like to share my blog here on how you can ace the “Google Associate Cloud Engineer Certification”. So if anyone is a novice to Google Cloud Platform (GCP) or preparing for ACE Certification, kindly check it out. And I hope this would be useful. https://medium.com/@charles_j/how-i-passed-the-google-cloud-associate-engineer-certification-63a0fd932057
docker is one amazing feature of the cloud infastructure and a time saver for any cloud infastructure but today we dive deeper into the most critical analysis of why docker stands out. "A docker is a person employed to load and offload things at the dock or on ships" Taking the above definition and applying to what docker is, we can see the close how docker operates. A container is arranged with all it's dependency and exec files and deployed in docker. The benefits of docker are limitless as it is faster than VM and it can be spined up in seconds. How we scale up from here will determine how far we go.
Hey Folks! My name is Reto Meier, and I’m part of the Cloud Developer Relations team. I’m going to be posting some articles and videos that I think y’all will find interesting.The following article, written by Developer Advocates Guillaume Laforge and Mete Atamel, was originally published on the Google Cloud Tech Blog. Click here for the audio narration of this article. Over the past year, we (Mete and Guillaume) have developed a picture sharing application, named Pic-a-Daily, to showcase Google Cloud serverless technologies such as Cloud Functions, App Engine, and Cloud Run. Into the mix, we’ve thrown a pinch of Pub/Sub for interservice communication, a zest of Firestore for storing picture metadata, and a touch of machine learning for a little bit of magic. We also created a hands-on workshop to build the application, and slides with explanations of the technologies used. The workshop consists of codelabs that you can complete at your own pace. All the code is open source and avai
I need to redistribute a dynamic route (on-prem subnets) in my Hub VPC going to my Spoke VPC so my Spoke VMs will know how to get to the on-prem subnets. Any recommendation on how to efficiently implement this? Note that my Hub VPC and Spoke VPC uses VPC Peering.
Cloud OnBoard: Getting Started with Google Kubernetes EngineLearn the basics of getting started with Google Kubernetes Engine. Create a Google Kubernetes Engine cluster, deploy your first app, and explore the capabilities Kubernetes provides to manage how your app is deployed across your Google Cloud infrastructure.June 23, 2021 https://cloudonair.withgoogle.com/events/cloud-onboard-gke?utm_source=coursera&utm_medium=email&utm_campaign=FY21-Q2-northam-NA1132-onlineevent-er-CloudOnBoardGKE
Hello Cloud Infrastructure Group! As people around the world are wrapping up their work week, let’s take a moment to celebrate the wins (both big and small). Feel free to share:Your personal victories this week Any company victories you would like to share out General achievements that this group can all get behind
The world of cloud computing is revolutionizing the way business and companies are being run, COVID 19 also helped(depend on which side you stand) shaped how working remotely should like. The rise of this amazing technology also came with new roles and new challenges while roles like cloud architect and Cloud DevOps architect also came up, it created a new shift on what skills one should have to function in such roles. Skill set depends on the cloud role you are chasing as GCI, Azure, AWS and Oracle will mean different knowledge on how the platform works. Kubernetes and Docker are highly recommend skill set that any one who wants to work on cloud must have. While this is important, a lot of questions are arising which are: who defines what should be the bench mark for approved skill set, the cloud provider, the government, the cloud users or the company. Should all Cloud user have a unified interface or a 3rd party interface that allows a novice cross from one platform to another witho
Hey Folks! My name is Reto Meier, and I’m part of the Cloud Developer Relations team. I’m going to be posting some articles and videos that I think y’all will find interesting.The embedded video, created by Martin Omander (Developer Advocate), was originally published on the Google Cloud Tech YouTube Channel. Looking to use Cloud Run without containers? In this video, we quickly show you how to deploy a web application to Cloud Run without having to worry about containers! How to deploy to Cloud Run from source code → https://goo.gle/3w9pM8S Source code used in this episode → https://goo.gle/3wckARJ Checkout more episodes of Serverless Expeditions → http://goo.gle/ServerlessExpeditions Subscribe to Google Cloud Tech on YouTube → http://goo.gle/GoogleCloudTech We’d love to get your thoughts and comments in the discussion below! Let us know if this sort of thing is useful for you, and tell us more about your environment and what you’re trying to accomplish—The Google Cloud Developer
Hey Folks! My name is Reto Meier, and I’m part of the Cloud Developer Relations team. I’m going to be posting some articles and videos that I think y’all will find interesting.The following article, written by Denna Nazem (Product Marketing Manager) and Kaslin Fields (Developer Advocate), was originally published on the Google Cloud Tech Blog. Getting started with Kubernetes is often harder than it needs to be. While working with a cluster “from scratch” can be a great learning exercise or a good solution for some highly specialized workloads, often the details of cluster management can be made easier by utilizing a managed service offering. Google Kubernetes Engine (GKE) allows for an easier end-to-end developer experience with convenient tooling and built-in integrations along with the convenience of offering Kubernetes clusters as a managed service.GKE is the most mature container orchestration service available today, delivering a fully-managed service and hands-off experience with
Expand your ML knowledge and sharpen your skills through this hands-on Google Cloud ML Academy lab co-hosted by Coursera and designed for ML Engineers and Data Scientists like you. As a bonus for attending, you'll receive an exclusive Coursera training offer and an invitation to join the ML and AI skills challenge. Register here for this event on June 22, 2021 : https://cloudonair.withgoogle.com/events/ml-lab
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