Google Cloud Platform Solutions and Technologies

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1140 Topics

Route Datadog monitoring alerts to Google Cloud with Eventarc

Recently, Google cloud announced third-party event sources for Eventarc, with the first cohort of third-party providers by our ecosystem partners. This is new blog post describes how to listen for events from one of those third-party providers, Datadog, and route them to a service in Google Cloud via Eventarc. Click on the link below to read it more detail:https://cloud.google.com/blog/topics/developers-practitioners/route-datadog-monitoring-alerts-google-cloud-eventarc

8 months ago

malaminModerator

posted in AI and Machine Learning

Google Government Summit November 15, 2022[Event]

Join government leaders to learn how the cloud can help achieve mission outcomes and unleash the potential of teams.Google Public Sector is thrilled to bring together leaders from federal, state, and local government from the United States and around the world. Secure your spot at the Google Government Summit on November 15 at District Wharf in Washington DC. Through keynotes, networking, demos and more you’ll gain new ideas of how to improve your mission work by accelerating innovation. Click on the link below and complete your registration for this event:https://cloudonair.withgoogle.com/events/government-summit-2022

8 months ago

malaminModerator

posted in AI and Machine Learning

Boosting Speech-to-Text API accuracy in Google Cloud

Google cloud Speech -to-text support for 73 distinct languages, and 137 different local variants over 125 languages, the Speech-to-Text API allows you to quickly and accurately convert audio to text. In this video, Anu Shrivastava, Developer program engineer walk you through the best tips and tricks for lowering your word error rate when using the Speech-to-Text API to transcribe audio files into text. Watch along to learn how you can boost your automated speech recognition accuracy without having to train your own custom model.Click on the video below to watch it in detail: Chapters:0:00 - Intro0:48 - What is Speech-to-Text API?1:11 - Speech-to-Text API quickstart demo1:47 - How do you measure output accuracy?2:53 - Tips for checking accuracy at scale3:49 - Improving accuracy with the Speech Adaption API6:42 - Wrap up Extra CreditSpeech-to-Text API Documentation → https://goo.gle/3Bo4JEQ Measuring and Improving Speech Accuracy Lab → https://goo.gle/3cOD2eR

8 months ago

malaminModerator

posted in Identity and Security

Securely Manage your Unknown Cloud

The modern attack surface requires modern, automated attack surface management to ensure security teams have the visibility they need to keep organizations safe. Join this program on how to manage your unknown cloud. Learn about the integration between Prisma Cloud and Cortex Xpanse to help bring unmanaged cloud assets and users under management. Also get details on the type of information provided by Xpanse, including priority and attribution data, and how to respond to Xpanse alerts regarding newly discovered unmanaged cloud assetsclick on the video below to watch it more details.

8 months ago

malaminModerator

posted in AI and Machine Learning

Latest database innovations for transforming the customer experience with Google cloud

Google Cloud enables data teams to manage each stage of the data lifecycle from operational transactions in databases to analytical apps across data warehouses, lakes, and data marts, and delivers transformative data-driven experiences. Let's dive into Google Cloud latest database innovations, including the new Cloud Spanner free trial instances, Datastream for BigQuery, Database Migration Service (DMS) support for AlloyDB, and more ..Click on the link below to read it more detail:https://cloud.google.com/blog/products/databases/latest-database-innovations

8 months ago

malaminModerator

posted in Identity and Security

Google Cloud and Chronicle help BBVA imagine new security use cases

BBVA, a Spanish multinational financial services company based in Madrid and Bilbao, Spain, is one of the largest financial institutions in the world. They partnered with Google Cloud and Chronicle to augment their homegrown security operations platform, allowing them to digest more data and extend threat detection and response use cases into the cloud. Click on the video below to watch it in detail: Extra Credit:Click on the link below to read it more detail:https://f.hubspotusercontent40.net/hubfs/2567647/BBVA_Case_%20Study.pdf

8 months ago

malaminModerator

posted in Data Analytics

Introduction to Datastream for BigQuery

Datastream is a serverless and easy-to-use change data capture and replication service that makes it easy to replicate data from operational databases into BigQuery reliably and with minimal latency. In this video, Gabe Weiss, Developer Advocate at Google, discusses setting up real-time replication from Cloud SQL to BigQuery. Watch along and learn how to get started with Datastream for BigQuery!Click on the video below to watch it in details: Chapters:0:00 - Intro0:10 - What is Datastream?0:59 - Demo: getting started with Datastream4:47 - Wrap up Datastream → https://goo.gle/3d4MWZN

8 months ago

malaminModerator

posted in Identity and Security

Google + Mandiant: Transforming Security Operations and Incident Response

Only with Google Cloud and Mandiant can you leverage our planet scale analytics to action threat intel from the frontlines - providing you a faster way to detect, investigate, and respond to incidents at scale.Today Thomas Kurian CEO, Google Cloud to share the completion of Google Cloud acquisition of Mandiant, a leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant shares google cloud cybersecurity vision and will join Google Cloud to help organizations improve their threat, incident and exposure management. Combining Google Cloud’s existing security portfolio with Mandiant’s leading cyber threat intelligence will allow Google Cloud to deliver a security operations suite to help enterprises globally stay protected at every stage of the security lifecycle. With the scale of Google’s data processing, novel analytics approaches with AI and machine learning, and a focus on eliminating entire classes of threats, Google Cloud and Mandiant will help or

8 months ago

malaminModerator

posted in AI and Machine Learning

Edge AI/ML acceleration for Advanced Driver Assistance Systems

With Google Distributed Cloud, you can deploy your workloads at edge locations. Watch this video to learn how this capability is helping accelerate Advanced Driver Assistance Systems for automotive customers. Edge ML/AI solutions are enabling better end user experiences for Google Cloud customers by extending the consistent and open cloud control plane to stores, factories, warehouses, and vehicles. With the GDC Edge Appliance, you’re able access insights generated on the edge in low latency and limited bandwidth environments. The GPU-based ML accelerators allow for inferencing, aggregating, processing, and transferring of data and insights to Google Cloud Storage. Click on the video below to watch it in detail:

8 months ago

yactouatCommunity Member

asked in Infrastructure

features requests

Hello everyone, is there a channel, group, or thread, whether in this community or elsewhere, where you can make features requests to the GCP ?I’ve been playing with Cloud Run, which is really a cool service, but I’ve noticed that the `SET UP CONTINUOUS DEPLOYMENT` subsequent form does not allow to look for a Dockerfile that is not in the root of the repo while having the root folder as the build context (as you would do with in a docker-compose file by specifying the context);this prompted me to do something quite ackward, which is creating the same Dockerfile at the root of my project instead of just referencing it from the GCP UI; both files are exactly the same, and it terms of maintenance, this is not great Is there a way to keep a nested Dockerfile as the one which the build will be made from without having to copy the exact same file at root just because of build context ? Does it worth a feature request, if such a channel existed ? Thanks 🙏

8 months ago

Julio_CostaCommunity Member

asked in Infrastructure

health check not working to elastic cloud

Hello.I have an elastic cloud in kubernets and I would like to make the elastic service accessible from the internet, but I can't because elastic needs a token to return 200 in the health check but I couldn't find where to pass the token, so my backend, which is elastic, is always with unavailable status because whenever the health check hits /_cat/health the status returning is 401.

8 months ago

malaminModerator

posted in AI and Machine Learning

Take your ML models from prototype to production with Vertex AI

You’re working on a new machine learning problem, and the first environment you use is a notebook. Your data is stored on your local machine, and you try out different model architectures and configurations, executing the cells of your notebook manually each time. This workflow is great for experimentation, but you quickly hit a wall when it comes time to elevate your experiments up to production scale. Suddenly, your concerns are more than just getting the highest accuracy score.Click on the link below to read it more detail.https://cloud.google.com/blog/products/ai-machine-learning/go-from-a-notebook-to-a-production-ml-model

8 months ago

malaminModerator

posted in AI and Machine Learning

Learning to Walk in the Wild from Terrain Semantics-Google AI

Presenting a hierarchical framework to learn semantic-aware locomotion skills for off-road locomotion. Using less than 30 minutes of human demonstration data, the framework learns to adjust the speed and gait of the robot based on the perceived semantics of the environment. In “Learning Semantics-Aware Locomotion Skills from Human Demonstrations”, Google AI design a hierarchical learning framework to improve a robot’s ability to traverse complex, off-road environments. Unlike previous approaches that focus on environment geometry, such as terrain shape and obstacle locations, Google AI focus on environment semantics, such as terrain type (grass, mud, etc.) and contact properties, which provide a complementary set of information useful for off-road environments.Click on the link below to read it more detail.https://ai.googleblog.com/2022/09/learning-to-walk-in-wild-from-terrain.html

8 months ago

malaminModerator

posted in Data Analytics

Data visualization with Data Studio

Here to bring you the latest news in the Startup program by Google Cloud are Lydia López and Joris Fayard! In this video they show you Data visualization with Data Studio.Click on the video below to watch it in detail. Chapters:0:00 - Intro0:38 - Agenda1:00 - Overview of Data Lifecycle2:30 - What is Data Studio2:44 - How Data Studio works6:50 - [Demo] Data Studio Template Gallery8:18 - [Demo] Creating a Data Source9:46 - [Demo] Building a Report14:55 - [Demo] Sharing a Report15:13 - Customer Success Story15:45 - Wrap up!16:08 - Want to find out more?16:46 - Coming next Extra Credit:Learn more about Data Studio → https://goo.gle/3DalbJP Check Data Studio Help Center → https://goo.gle/3TXRH8f Join the Data Studio Community → https://goo.gle/3DaSj4d Community Connector gallery → https://goo.gle/3QvVXZo Find more about using Data Studio Themes → https://goo.gle/3Bof6sa Manage Data Freshness → https://goo.gle/3Drt1PJ Data Explorer & Data Blending in Data Studio → https://goo.gle/3qpl7y

8 months ago

malaminModerator

posted in Infrastructure

[Article] Introducing Kubernetes control plane metrics in GKE

Google cloud announce that google cloud are now exposing Kubernetes control plane metrics, which are now Generally Available. With GKE, Google fully manages the Kubernetes control plane; however, when troubleshooting issues it can be helpful to have access to certain metrics emitted by the Kubernetes control plane.Click on the link below to read it more detail.https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-control-plane-metrics-are-generally-available

8 months ago

malaminModerator

posted in AI and Machine Learning

malaminModerator

posted in Identity and Security

Protecting Google Applications with Fortinet’s Web & API Security

Protecting Google Applications with Fortinet’s Web & API SecurityDigital innovation is causing increased risk as cyber threats take advantage of the disruption. Learn about our cloud native SaaS based web application firewall (WAF) that protects web applications and APIs from the OWASP Top 10 threats, zero-day attacks and other application layer attacks. Simple to set up and with in-built AI/ML, the Fortinet WAF automatically adapts to learn and protect your specific application. Click on the video below to watch it in detail:.

8 months ago

malaminModerator

posted in Getting Started on Google Cloud

GCP Professional Cloud Data Engineer and Professional Cloud Architect are the top paying IT Certifications.

IT decision-makers say finding qualified multi-cloud professionals for cloud roles is among their greatest struggles. Cloud adoption continues to rapidly grow, so does the need for skills.Google Cloud is offering a holistic and programmatic approach for IT professionals to become certified. The Certification Journey Program is an end-to-end journey supported by multiple learning modalities, launching this September.Access to learning materials located on the Google Cloud Skills Boost A 9-week learning journey Dedicated trainer & technical mentorship One, full (8h) Instructor-Led Training day 6 online, live exam guide review sessions, 60-90 minutes each, via Google Meet Online community - via Google Groups, Google Account required to access Cohort & program management Shared drive with learning assets - Google Drive, Google Account required to access Exam voucherPlease click on the following link to join this progrmhttps://inthecloud.withgoogle.com/certification-journey-22/dl-cd

8 months ago

malaminModerator

posted in AI and Machine Learning

How Let’s Enhance uses NVIDIA AI and GKE to power AI-based photo editing

Let’s Enhance, a computer vision startup with teams across the US and Ukraine, set out to solve with AI. The Let’s Enhance platform improves the quality of any user-generated photo automatically using AI-based features to enhance images through automatic upscaling, pixelation and blur fixes, color and low-light correction, and removing compression artifacts — all with a single click and no professional equipment or photo-editing chops. Click on the link below to read it more detail.https://cloud.google.com/blog/products/ai-machine-learning/innovative-ai-for-beautifying-images-using-nvidia-gpus-and-gke

8 months ago

malaminModerator

posted in AI and Machine Learning

Transportation leaders share real-world stories of digital transformation with Google Cloud

ITS World Congress and a session with these amazing individuals. Join with Google Cloud on September 18 to hear from DOT leaders from Utah Department of Transportation (UDOT), Hawaii’s Department of Transportation Highways Division (HIDOT), Colorado Department of Transportation (CDOT) and District Department of Transportation (DDOT) as they share their real-world stories of digital transformation with Google Cloud. Topics will range from deploying advanced analytics platforms, climate resilience, safety analytics, data driven equity, going paperless and more.Also, stop by room 304C to meet with Google Cloud Public Sector leadership team and click on the link below to read it more detail: https://cloud.google.com/blog/topics/public-sector/transportation-leaders-share-real-world-stories-digital-transformation

8 months ago

malaminModerator

posted in AI and Machine Learning

Understand text faster with Vertex AI's AutoML NLP

Did you know that with AutoML you can train a model with image, text, tabular, or even video data? In this video of Deploying AI, Developer Programs Engineer Anu Srivastava shares an example of Vertex AI's AutoML with Natural Language Understanding for text data. Watch to learn how you can train a custom model to recognize content that you care about in text.Click on the video below to watch it in detail:Chapters:0:00 - Intro0:30 - Example of Natural Language Understanding for text data0:50 - Use cases rundown2:10 - When to use pre-trained Natural Language API2:49 - How to build this model4:08 - Checking the model4:43 - Samples5:07 - Using model from phone or web app5:33 - Wrap upExtra Credit :AutoML Natural Language Beginner's guide → https://goo.gle/3RA31FP

8 months ago

malaminModerator

posted in AI and Machine Learning

Building a highly available Cloud Run app with Cloud Spanner

When building a business critical serverless application, high availability and multi-regional databases guarantee reliability. If one region goes down, you can send all of your traffic to a secondary region to prevent failure. Watch along and learn how to run your application’s database on Cloud Run in multiple regions with Cloud Spanner. Click on the video below to watch it in detail: Chapters:0:00 - Intro0:25 - What is a multi-regional cloud database?1:00 - Eliminate the single point of failure1:44 - Why choose Cloud Spanner?2:35 - How to set up a Spanner database3:41 - What if there is no regional configuration for my area?4:16 - How much does it cost to run a multi-regional configuration?5:39 - Do I need to update my application code for Cloud Spanner?6:05 - Summary of Cloud Spanner6:43 - Regional vs. multi-regional configurations7:03 - Wrap up Extra Credit:Speed up your Cloud Run service by hosting it closer to your users → https://goo.gle/3CUXAwU Serving traffic from multiple r

8 months ago

malaminModerator

posted in AI and Machine Learning

Here's more about Google's latest AI - LOLNeRF to detect 2d and 3D images shape

Learn about Google's newest AI, LOLNeRF. Our ability to understand 3D shapes from the 2D images we see is an important aspect of human vision. On the ground, gaining such an understanding of computer-based vision systems was a major challenge. Many successful approaches rely on multi-viewdata, which makes it much easier to infer the 3D shape of objects in images by providing two or more images of the same scene from different perspectives. However, there are many situations in which knowing the 3D structure from a single image would be useful, but this problem is usually difficult or impossible to solve. For example, it may be difficult to distinguish between an image of a real beach and an image of a flat poster of the same beach. However, 3D structures can be estimated based on what types of 3D objects occur frequently and what similar structures look like from different perspectives. In "LOLNeRF: Learn from One Look", presented at CVPR 2022, Google scientists provide a framework

8 months ago

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