Hi everyone, we’re noticing some errors on our CloudSQL read replica replication process which has been working fine for over a year. Without making any major changes, CloudSQL is starting to log the following errordb=cloudsqladmin,user=cloudsqladmin ERROR: cannot execute CREATE TABLE in a read-only transactionTo my understanding, this a largely GCP CloudSQL managed process as we just configured a read replica. Any advice and where to debug would be great - thanks so much in advance!
We have several internal apps written in nodejs and those guys figured it out pretty easily. But, the go team and I haven’t been able to get it working with those applications. I’ve looked into it quite a bit and I can see why… the documentation is pretty confusing and there aren’t any good 3rd party HOWTOs that explain it. Doesn’t anyone here know how to get it up and running? I can see that there’s a go library for OAUTH in the Google library, but I can’t find enough documentation to make it work. TIA.
Echa un vistazo a Cloud OnBoard, una playlist con 8 capacitaciones introductorias a herramientas digitales en la nube. 1- Introducción a la infraestructura de Google Cloud2- Máquinas virtuales en la nube3- Aplicaciones en la nube4- Introducción a Big Data y Machine Learning5- Introducción a Google Cloud y Qwiklabs6- Contenedores en la nube7- Desarrollar, desplegar y supervisar en la nube8- Almacenamiento en la nube ¿Cuál es el área de conocimiento de Cloud OnBoard que más te interesa?
Hi,In Vertex AI Jupyter Notebook while trying to do online prediction on my Pytorch model deployed on Vertex endpoint for a Text classification use case , I am getting below error - ServiceUnavailable: 503 502:Bad GatewayI have found there seems to be a limit on the text character and it’s capped to 2500 characters. Please correct me if I am wrong in this. While I am getting output for Input length less than 2500 characters, but for any input more than that I am getting the above error. Please help.
Hi All,I am trying to upload PDF files (few hundred pages each) with different structures and annotate them using in the UI, I've used the provided tool to get a JSONL for my first file. however, every time I provide the URL and try to import the data I receive the below error, I also noticed that the JSONL file has a very small size. I would extremely grateful if someone could guide me toward a solution or provide pertinent resources.Thanks a lot.
While using internal load balancer, scale out event happens (due to traffic metric activation), a new instance is created.At this point I noticed that all existing instances do not get traffic AT ALL from the load balancer for at least 10 seconds (traffic drops to zero).This cause a sever traffic failures to the backend and only after a few minutes when the scale out event completes the old instanced get traffic back.
Hello,the container registry is being deprecated and is replaced by the artifact registry.The container registry offers a public images list that can be found here: https://console.cloud.google.com/gcr/images/google-containers Do you know if there is/will be a public images list for the artifact registry?Thanks,Guilhem.
As an admin on my legacy free edition of workspace I was able to export all users data to cloud storage, but using the same credentials I am unable to access that data. Who does have those permissions???
Can anyone help me to transfer data from one Google workspace account to another?I have 2 Google accounts….the one I use for work is limited data wise to 30 gigs which fast runs out.The other Worksapace account has unlimited data.Other than saving Google photos for example to a hard drive first and then uploading to the unlimited drive I was hoping to find a more direct solution.
Has anyone setup MTA-STS? Would you recommend it?Looks to me like there are some DNS settings to add (easy enough) and then a text file to host on a public facing server which seems a pain if you live in Workspace and don’t have public facing servers - is that about right?Does it cause any issues with domains that don’t use/support MTA-STS or does it just fail over to standatd SMTP?Thanks for your thoughts and inputsGraham
You’ve built a machine learning model and run it on your laptop for development and testing. However, you are ready for more significant tasks like running predictions against a large batch of data or continuously running predictions at scale. In this video, Head of Decision Intelligence Cassie Kozyrkov discusses using a data processing framework like Apache Beam to put a machine learning model into production. Watch along to get started with the new Run-Inference utility in Apache Beam. Chapters:0:00 - Intro0:48 - Using Apache Beam for data processing framework2:26 - The process before the Apache Beam RunInference utility4:09 - A faster method with Apache Beam RunInference utility5:12 - Multiple models in the same pipeline6:00 - RunInference + Beam expressiveness Branched A/B models6:36 - Wrap up RunInference → https://goo.gle/3kWnkC5 Machine Learning → https://goo.gle/3XR73wD Dataflow ML → https://goo.gle/3kWwMVL Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
What is messaging service? Here is a short video from @Priyanka Vergadia
February 3, 2023 Cody HillLead Solutions Consultant at Google Cloud, GoogleGilbert LauCloud Partner Solution Architect, Redis Redis excels as a fast caching solution or in-memory database, and is commonly utilized by startups as a self-managed open source technology. But what happens when you eventually outgrow open source limitations and the in-house expertise required to manage OSS deployments? How do you scale without business disruption or data loss? Read on to discover how Google Cloud and Redis make it easy to transition from open source to enterprise-ready as your business grows.Let’s explore this common scenario for digital-native companies and illustrate it using a hypothetical retailer we will call “Online Boutique”. Online Boutique is a popular online shop that recently launched a digital storefront to connect consumers with its products. This storefront utilizes a microservices architecture running on Google Kubernetes Engine (GKE) in addition to caching with Redis open sou
February 3, 2023Andrey Fedorov, PhDAssociate Professor in Radiology, Brigham and Women’s Hospital, Harvard MedicalAlicia WilliamsDeveloper Advocate Get started with the National Cancer Institute Imaging Data Commons data, hosted by the Google Cloud Public Dataset Program.Medical imaging offers remarkable opportunities in research for advancing our understanding of cancer, discovering new non-invasive methods for its detection, and improving overall patient care. Advancements in artificial intelligence (AI), in particular, have been key in unlocking our ability to use this imaging data as part of cancer research. Development of AI-powered research approaches, however, requires access to large quantities of high quality imaging data. Sample images from NCI Imaging Data Commons. Left: Magnetic Resonance Imaging (MRI) of the prostate (credit: http://doi.org/10.7937/K9/TCIA.2018.MR1CKGND), along with the annotations of the prostate gland and substructures. Right: highly-multiplexed fluores
Hello All 👋, I would like to share free udemy course to get started with Google Cloud basics. Especially if you are planning to get certified, knowing the basic GCP services are important. Below are few resources:Google Cloud Skills Boost:https://www.cloudskillsboost.google/paths/9?utm_source=google&utm_medium=blog&utm_campaign=NewYearNewSkillsJan2023https://www.cloudskillsboost.google/course_templates/60Qwik labs:https://go.qwiklabs.com/gwgUdacity:https://www.udacity.com/course/google-cloud-digital-leader-training--ud301Udemy:https://www.udemy.com/topic/google-cloud/free/Other:https://medium.com/javarevisited/7-free-courses-to-learn-google-cloud-platform-for-beginners-cbb260fbd8e4https://www.simplilearn.com/learn-google-cloud-platform-fundamentals-free-course-skillup Many to choose ? 😊 Do you know other resources ?
Google Cloud is proud to support innovative startups with the data cloud capabilities needed to help their customers thrive and to build and grow their own businesses, and they’re committed to providing them with an open and extensible data ecosystem so they can continue helping their customers realize the full value of their data.Read more in the blog post here!
Muitos dados para gerenciar por aí? Gerenciar dados e informações é um assunto importante para qualquer negócio que está no caminho da transformação digital. No entanto, com o crescente volume de dados gerados, é cada vez mais importante ter uma estratégia de gerenciamento eficaz. Você já ouviu falar do Data Catalog? Essa é uma solução para empresas que buscam descobrir, entender e gerenciar seus dados. O serviço, além de altamente escalonável, ajuda a sua organização a: Ter uma visualização unificada dos dados que facilita a pesquisa; Tomar decisões data-based de forma mais rápida e precisa; Melhorar o gerenciamento de dados para aumentar a eficiência e a produtividade operacional; Aumentar a confiabilidade dos dados. Para saber mais sobre as funções oferecidas pelo Data Catalog, assista ao vídeo abaixo:
People will get 60 days of hands-on access to the entire Google Cloud Skills Boost learning platform, where they can complete hands-on tasks.- 60-day free access to the Google Cloud platform- badges to confirm your qualification and to add to your resume- reward for earned badges- free vouchers for Google Cloud certificationProgram start date from 1st February to 1st April 2023 on Ukranian language. https://rsvp.withgoogle.com/events/grow-your-career-with-google-cloud/aboutHere is a list of labs: https://drive.google.com/file/d/1ajvQ9Tfmu3uU12MoE0Rkp5pStKIzcVSW/view?usp=share_link
C2C’s Startups community kicked off 2023 with a quality virtual discussion about anything and everything related to Google Cloud! Attendees brought questions, solutions, and roadblocks that they were interested in working through with our team. This AMA invited startups currently enrolled in the Google for Startups Cloud Program who are facing challenges or need assistance with Google Cloud tools.At this 2Chat, Sprint into 2023 AMA with Google Cloud, our speakers covered:Assistance with Google Cloud tools An overview of the Google for Startups Cloud Program Tips on how to scaleWatch the full recording here: Not enrolled in the Google for Startups Cloud Program? You could be eligible for access to startup experts, Cloud cost coverage (up to $100,000 for each of the first two years), technical training, business support, and Google-wide offers. To receive benefits, you must have an active Google Cloud account.Apply here.Browse our previous Google Cloud Startups content and join the C2C
Live demo on Manufacturing Data Engine and Looker. See how a factory manager and maintenance engineer can monitor yield, performance, and quality produced by their manufacturing operations, driving end-to-end visibility across the assembly line.Click on the video below to watch it in detail.Chapters:0:00 - Intro: Live factory visibility and analytics demo4:28 - High-level assembly line KPIs for factory managers5:18- Detailed machine-level KPIs for quality and maintenance managers7:22- Explore the relationship between quality and flow rate9:20 - Investigating alerts in the placement machine11:02 - How to improve OEE numbersExtra Credit:Learn more about Google Cloud's manufacturing solutions → https://goo.gle/3Nsw0dD Check out more smart factory videos → https://goo.gle/3SUOfJQ
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