Google Cloud Platform Solutions and Technologies
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How do business leaders view public clouds? What do they expect from cloud providers? Join Google Cloud upcoming webinar to dive deeper with Priyanka Vergadia, Dev Rel at Google Cloud and Bill Martorelli, Principal Analyst at Forrester Research. Click on the link below to join this event.https://cloudonair.withgoogle.com/events/the-state-of-public-cloud-migration
In DORA’s 2022 State of DevOps Report, they made some observations about the importance of culture in an organization’s ability to successfully implement DevOps practices. The three key components they identified are Work Arrangement Shifts, Employee Churn, and Employee Burnout. DORA observed that in high performing teams, employee churn is low, employees are invested and motivated in the team success, and the company provides flexibility in work arrangements for their teams.The linked blog describes these key components nicely:https://cloud.google.com/blog/products/devops-sre/culture-in-the-2022-state-of-devops-reportWhat have you observed as you’ve worked in successful DevOps organizations? Were these key components present? How about in less successful DevOps organizations? These components resonate with me, and they build on each other. At the root of them all is trust. Does the company trust its employees to try to do what’s right, or do they expect them to deliberately do what’s
Here's your chance to explore AI innovations, challenges, practical implementations and social development at the same time. Join with Google cloud this event to learn how you can democratizing AI in manufacturing. A donation will be made to the Make-A-Wish foundation for every participant joining this virtual event, making a wish come true. Click on the link below to join this event.https://www.gft.com/us/en/events/us/us/google-cloud-make-a-wish-roundtable
Business conditions are always evolving and data strategies need to keep up. We know that the relationship with data can be complex, so Google cloud bringing you the latest insights and perspectives to equip you to enhance your data strategy in 2023.This is good opportunity to discover the emerging trends in data and AI so you can prepare for 2023 to join this in-person event that will held in Google cloud Office, UK.Click on the link below to join this event.Where : Google UK, 6 Pancras Square, London N1C 4AG Date: January 24, 2023 15:00–19:00 GMT click on the link below to join this event.https://inthecloud.withgoogle.com/data-trends-23-uk/register.html
GitOps takes DevOps best practices used for application development (such as version control and CI/CD) and applies them to infrastructure automation. In GitOps, the Git repository serves as the source of truth and the CD pipeline is responsible for building, testing, and deploying the application code and the underlying infrastructure. Mete Atamel, Developer Advocate at Google cloud, in his new blog talk about how to set up a Git-driven development, testing, and deployment pipeline for Workflows using Cloud Build.Click in the link below to read it more detail:https://cloud.google.com/blog/topics/developers-practitioners/gitsops-service-orchestration
👋 Hey Google Cloud learners! We need your feedback on your experience with Google Cloud learning & certification content which will be used to guide future product enhancements.In particular, we are looking to understand:👉 What Google Cloud learning content have you explored?👉 What is missing?👉 What feedback do you have for the Cloud learning team?If you’d like to participate in the user study and provide us feedback, please fill out this form by January 17, 2023. https://docs.google.com/forms/d/e/1FAIpQLSd_rHu3z9fS255ibXtk8G_JgjWcj3V2vU2mmnQ6qvCsPlF4IA/viewform
Join with Inaugural #WomeninSecurity #Community Event on February 2nd 2023. By celebrating the #women making an impact in #Cybersecurity, this can demonstrate the path to leadership and success for diverse women everywhere in this exciting and expanding field.This event will bring together #women in the cybersecurity fields to network, share insights, collaborate, meet peers, and support each other to actively contribute to the industry.Get ready to start some security-loving conversations! There will be a spectacular keynote speaker, a panel discussion where you will hear from executives in the industry making an impact and much more. You can find the full agenda here.This is not a women only event and is open to all, women and allies!**When:** Thursday, February 2, 2023 14:00 - 21:00 GMT**Where: ** Google UK Office, 6 Pancras Square, Kings Cross, London N1C 4AG UKRegister today and we hope you won’t pass up this opportunity to engage with other cybersecurity customers and Googlers at
Today I will discuss how to build an ML-based network anomaly detection application for telecom networks to identify cyber security threats by using Dataflow, BigQuery ML, and Cloud Data Loss Prevention and used to help identify cybersecurity threats.In this tutorial, I'm trying to focus on google cloud documentation key point to develop an anomaly detection application intended for data engineers and scientists. Also, I assume that you have basic knowledge of the following:Dataflow pipelines built using the Apache Beam Java SDK Standard SQL Basic shell scripting K-means clusteringArchitecture Overview The following diagram shows the components used to build an ML-based network anomaly detection system. Pub/Sub and Cloud Storage serve as data sources. Dataflow aggregates and extracts features from this data tokenized with DLP API. BigQuery ML creates a k-means clustering model from these features and Dataflow identifies the outliers. ObjectivesCreate a Pub/Sub topic and a subscription
Safeguard everything from people and customers to data and transactions using Google Cloud solutions on the SLSA framework., You can Discover how you can improve security across your software delivery lifecycle. The digital world is seeing an ever increasing rise of cybersecurity threats. Rethinking your organization's security posture means finding ways to identify and protect everything from people and customers to data and transactions. Click on the link below to join this event. https://cloudonair.withgoogle.com/events/2022-sea-appeco-webinar
“Every company is now a software company”. Of course, this is true for new businesses that started in the past 10 years but is increasingly a mantra for all enterprises. A key enabler for this transformation is the Cloud. While Cloud offers numerous benefits for businesses, it is paramount that software that enables this transformation delivers the reliability, performance and service levels their users expect. In this virtual Google Cloud day, Google cloud engineer will talk about how you can build with Google Cloud, Data Cloud, Secure Cloud and Collaborative Cloud. Click on the link below to join this event : https://cloudonair.withgoogle.com/events/india-virtual-cloud-day-jan2023
Security is an essential element of any cloud service, and everyone wants to know that their information will be safe. Google Cloud Armor can protect your systems from web-based attacks and mitigate distributed denial-of-service (DDoS) attacks. It gives you enterprise-grade defense, whether your application is deployed on Google Cloud, on premise, or in a multicloud architecture. Learn from Google cloud partner Searce how Google Cloud Armor has already helped other customers with security and infrastructure. This webinar is intended for Chief Security Officers, CIOs, CDOs,Security Decision Makers and Security Teams. During the webinar, you’ll have the opportunity to exchange your ideas, concerns and questions with our speakers in the chat.Click on the link below to join this event: https://cloudonair.withgoogle.com/events/protecting-infrastructure-googlecloudarmor
Alex Erfurt, Sr. Machine Learning Specialist, Google Cloud wrote a blog about how Klöckner Google cloud customer used Google Cloud Vertex AI services such as AutoML and Vertex AI Pipelines to improve internal processes through machine learning (ML), including increasing velocity in ML model building, reducing time to production, and providing solutions for production-level ML challenges such as versioning, lineage, and reproducibility. I’m Thrilled and hope it will inspire others to build on top of Google Cloud and Vertex AI as well.Are your Data Scientists and ML Engineers ready to work in the Cloud-era? Do you have the right tools to be productive and ready for fast-paced innovations in the AI space? Read along and learn what worked well for others.Click on the link below to read it more detail.https://cloud.google.com/blog/products/ai-machine-learning/how-steel-distributor-reinvents-its-data-science-ml-workflows-vertex-ai
Today's modern manufacturing environments require more sophisticated platforms for analyzing data due to increasing volumes and complexity.In this video, Atos' Google Cloud Partnership lead, Andy Lund, discusses how modern machine learning solutions help manufacturers collect, ingest, and connect data from the edge for improved operational efficiency. click on the video below to watch it in detail.
Six minutes - that’s how fast the Düsseldorf Fire Department needs to reach any address in the city. Now, the department is using Google Cloud to optimize the distribution of its fire stations. David von der Lieth, Director of the Düsseldorf Fire Department shared his experience how to utilize Google cloud to solve their use case. Click on the link below to read it more details.https://cloud.google.com/blog/topics/public-sector/geodata-rescue-how-d%C3%BCsseldorf-fire-department-uses-google-cloud/
Are you having trouble creating and running scheduled jobs in BigQuery, and would like to implement it in your production and development pipelines? Check out this video where Google Cloud developer advocate will be discussing BigQuery's scheduled queries feature, and the IAM permissions needed to create and configure them. They will show you how to configure and schedule queries and the configuration options available. Watch this video to learn some important caveats and how to overcome them while using scheduled queries in BigQuery.Click on the video below to watch it in detail. Chapters:0:00 - Intro0:29 - Scheduling Queries: Prerequisites1:25 - Demo on creating and configuring scheduled queries4:30 - Caveat #1 - Scheduled Queries are run as per UTC time5:10 - Caveat #2 - Running scheduled query in a different region compared to destination table5:42 - Caveat #3 - Modifying credentials used to run scheduled queries6:00 - Further reading Scheduling queries → https://goo.gle/3uNKxYG
Have you built a serverless app but found it unreliable? Welcome you to Serverless Expeditions Extended! In this video, Martin teams up with reliability expert Steve to implement simple smoke tests and determine the next steps for making Martin’s YouTube comment-tracking app more reliable for its users.Click on the video below to watch it in detail. Chapters:0:00 - Intro1:20 - Current reliability issues1:46 - What are smoke tests?2:37 - How to set up monitoring4:10 - How to set up a deep health check4:55 - Where do I place the different smoke tests?5:24 - Verifying returned data with smoke tests6:24 - Smoke tests for VMs and K8s7:28 - Next steps8:07 - Wrap up Checkout more episodes of Serverless Expeditions → https://goo.gle/ServerlessExpeditionsSubscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Want to expand your security delivery while increasing visibility across your infrastructure? In this video of Go Deep with Google Cloud Armor, Google cloud developer advocate demonstrate how you can keep your organization safe with Infrastructure as Code (IaC) automation and security operations integrations. Watch to learn how you can increase the reach of your security policies!Click on the video below to watch it in detail. Chapters:0:00 - Intro2:07 - Infrastructure as Code Automation with Terraform6:04 - Integration with incident management tools: Slack8:36 - Overview of integrating with a SIEM tool10:12 - Wrap upExport Google Cloud security data to your SIEM system → https://goo.gle/3BBdxGUGo Deep with Google Cloud Armor playlist → https://goo.gle/GoDeepWithGoogleCloud... Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Let us discover how Infilect solves inventory for retailers using Google cloud. Imagine, in the not-so-distant future, a tool that would give retailers real-time inventory information. No more overstock of unsold products and sold-out sections of the more popular products. Welcome you to Architecting with Google Cloud! In this video, Manish Kumar, a Customer Engineer at Google, meets with Infilect CTO and co-founder Vijay Gabale to discuss precisely how Infilect solves inventory headaches for retailers. Click on the link below to watch it in detail. Chapters:0:00 - Intro0:52 - Who is Infilect?3:15 - What inspired Infilect to help retailers?6:00 - Infilect’s tools and services to empower retailers8:01 - Infilect’s backend architecture12:17 - How Infilect overcame growing pains16:25 - Learn more about Infilect17:17 - Wrap up Extra credit:Vertex AI Vision → https://goo.gle/3hlYvy5 Infilect → https://goo.gle/3ht3JIg Why work with Infilect? → https://goo.gle/3FUEE2r Visual Intelligence Pl
Hi All,I wanted to ask if any of you as C2C community members who are multi-cloud with AWS had a chance to attend re:invent 2022 this year just a few weeks ago (either virtual or in-person & paid for a ticket)? I’m curious about your experience post-pandemic at the event, how it was different from this year vs. prior years if you have gone to more than one re:invent, as well as what value AWS offers that Google Cloud Next has not done as well that is a catalyst for you to attend (and that Google should consider for 2023+? i.e. hands-on workshops, training, certification, leadership & team training, expert content, beginner content, roadmap sneak peek sessions, etc.)Any and & all thoughts or feedback welcome. Trying to design the most valuable experience possible for Next ‘23 & your input is priceless in that process!
I’m trying to create a cloud function to create a thumbnail image from a video uploaded to Firebase storage and save the thumbnail image as a .PNG with the same name as the video and in the same folder in Firebase.I’ve tried several different solutions without any luck.Create thumbnail of video in Firebase cloud functions Google cloud function to generate thumbnail from videoIs there anyone that could lend a hand pointing me in the right direction on how to achieve this? Thanks in advance.
Have you ever thought of utilizing the capabilities of AIs in a business process without writing a line of code? Here is an example process I built in an hour:Requirement: Use the GCP Document AI to recognize text in an image and save the recognized text to a file.Steps:Activate the API for the GCP Document AI and add a standard OCR processor. Create a Service Account and key file Download the Automation Anywhere Community Edition (free) and follow the setup instructions. Connect to the API using the Document AI package and provide the path to your test image. Use the JSON Parser to get the AI results. Parse the text field and write it into a file. And here are the results:Below is my example imageThis is the complete API response:And here is the text key value: And finally the text file: As you can see, the AI most likely considered the cloud logo to be a ‘2’ but otherwise recognized the text correctly.The bot could have repeated the actions for multiple files, written the result in
A hot topic for many of our C2C members has been this idea of getting started on your learning journey with Google Cloud Platform. We have community members, students and seasoned professionals alike, who are looking for the advice of others to help them on their journey. So where did you start? If you were starting over, what would you change? What advice do you have for someone just starting out?
What is this? This is a great question. The question is straightforward, but the answer can be difficult for some people to grasp. Sometimes wise people fail to answer this question . He might know the answer, but he can't explain it well. Here is Priyanka Vergadia, Google cloud head content creator. She knows how to answer the question about what this is. Introduction to Data Science? What is your Cloud AI/ML path ? What is Vertex AI? What is No-Code AutoML Models? What is MLOps? What is Vertex Forecasting? What is BigQuery ML? What is Vision API? What is Video AI? What is Translation AI? What is Natural Language API? What is Speec-to-text API? What is Contact Center AI? What is Document AI? What is Recommendations AI? Data Science on Google Cloud
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