You want to create alerts on your google cloud resources, such as when health checks fail. which is the best google cloud product to use?

Last modified on: April 3, 2023 If your app uses Google APIs to access Google users’ data, you might have to complete a verification process before you publish your app. The applicability of this requirement to your app depends mostly on two factors: the type of user data you access—public profile information, calendar entries, files in Drive, certain health and fitness data, and so on—and the degree of access you need—read-only, read and write, and so on. When you use OAuth 2.0 to get permission from your users to access this data, you use strings called scopes to specify the type of data you want to access and how much access you need. If your app requests scopes categorized as sensitive or restricted, you will probably need to complete the verification process (see, however, the exceptions). A few examples of sensitive scopes are some of the scopes used by the Calendar API, People API, and YouTube Data API, but there are others. Restricted scopes are fewer in number, currently including only scopes used by the Gmail APIs, Drive APIs, and Google Fit APIs. The process you need to complete depends on whether your app requests sensitive scopes, or restricted scopes (all apps must complete the first process, brand verification): • All apps that access Google APIs must verify that they accurately represent their identity and intent as specified by Google’s API Services User Data Policy. If you change any of the details that appear on your OAuth consent screen, such ...

• A. 1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic. 2. Call your application on Cloud Run from the Cloud Function for every message. • B. 1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run. 2. Create a Cloud Pub/Sub subscription for that topic. 3. Make your application pull messages from that subscription. • C. 1. Create a service account. 2. Give the Cloud Run Invoker role to that service account for your Cloud Run application. 3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint. • D. 1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal. 2. Create a Cloud Pub/Sub subscription for that topic. 3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application. it is explicated recommended use " push" : Note: Google recommends using push subscriptions to consume messages from a Pub/Sub topic on Cloud Run. Although it is possible to use Pub/Sub pull subscriptions, pull subscriptions require you to monitor message delivery latency and manually scale the number of instances to maintain a healthy delivery latency. If you want to use pull subscriptions, use the CPU always allocated setting along with a number of minimum instances. https://cloud.google.com/run/docs/triggering/pubsub-push Answer B, I would say is the correct answer for me. Whe...

Additional Resources • Map Coverage Details • Mobile OS and software support • Launch stages • Deprecations • Asset Tracking Plan • Root CA Migration FAQ • Domains • Project roles comparison • Pre-Launch Checklist • Premium Plan • URL Encoding • WordPress Users • Get Started • Get Started with Google Maps Platform • API Picker • Billing & Pricing • Security & Compliance • Reporting & Monitoring • FAQ • Support and Resources • Customer Care • Incident Management • Maps • Maps JavaScript API • Maps SDK for Android • Maps SDK for iOS • Maps Static API • Street View Static API • Maps Embed API • Maps URLs • Maps Elevation API • Map Tiles API • Maps Datasets API (Preview) • Maps Aerial View (Preview) • Web Components (Preview) • Routes • Routes API • Roads API • Directions API • Distance Matrix API • Solutions • Industry solutions • Mobility services • Places • Places API • Places SDK for Android • Places SDK for iOS • Places Library, Maps JavaScript API • Geocoding API • Geolocation API • Address Validation API • Time Zone API • Additional Resources • API Security Best Practices • Digital Signature Guide • Map Coverage Details • Optimization Guide • Mobile OS and software support • Launch stages • Deprecations • Asset Tracking Plan • URL Encoding • WordPress Users • StackOverflow • GitHub • YouTube • Discord • Twitter • Issue Tracker • Google Dev Library Cloud Monitoring collects metrics for your APIs and service and of the Google Cloud Platform resources that you use. This to...

• • AI & Machine Learning • API Management • Application Development • Application Modernization • Chrome Enterprise • Compute • Containers & Kubernetes • Data Analytics • Databases • DevOps & SRE • Maps & Geospatial • Security & Identity • Infrastructure • Infrastructure Modernization • Networking • Productivity & Collaboration • SAP on Google Cloud • Storage & Data Transfer • Sustainability • • IT Leaders • • Financial Services • Healthcare & Life Sciences • Manufacturing • Media & Entertainment • Public Sector • Retail • Supply Chain • Telecommunications • Partners • Startups & SMB • Training & Certifications • Inside Google Cloud • Google Cloud Next & Events • Google Maps Platform • Google Workspace • Developers & Practitioners • Transform with Google Cloud Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Today, we’re happy to announce the preview of log-based alerts, a new feature that opens alerts to all log types, adds new notification channels, and helps you make alerts more actionable within minutes. The alert updates include: • the ability to set alerts on any log type and content, • additional notification channels such as SMS, email groups, webhooks (and more!) and • a metadata field ...

Setting Up A Monitoring Dashboard By default, GCP creates dashboard for some major resources, such as Cloud Storage buckets, storage disks, and Compute Engine instances, which are viewable from the “Monitoring” tabs of those resources. However, the full “Monitoring” service is available from the sidebar, under “Operations”: You can view the existing dashboards under the “Dashboards” tab: If you want to create your own dashboard though, it’s pretty easy. Dashboards are generic—you can create a dashboard that can apply to any GCE Instance and then filter the dashboard by instance name, project ID, or zone ID. This way, you can configure one dashboard with all the useful metrics, then reuse it for any resource of the same type. If you do want the dashboard to show a specific instance, that’s possible as well. Resource Type allows you to select what kind of cloud resource you’re monitoring, whether that’s a Cloud Storage bucket, Database, Compute Engine or EC2 instance, or pretty much any GCP or AWS resource you can think of. This will filter which metrics you can use to only show metrics that apply to the given resource. Setting Custom Alarms One of the most useful features of GCP’s Monitoring suite is being able to set custom alarms that will notify you whenever there are problems with your network. There are two kinds of alarms offered by Monitoring, both of which are entirely free and unlimited for everyone. Uptime Checks will query a web or TCP service to ensure that it’...

GSP089 Overview Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services, hosted uptime probes, application instrumentation, and a variety of common application components including Cassandra, Nginx, Apache Web Server, Elasticsearch, and many others. Cloud Monitoring ingests that data and generates insights via dashboards, charts, and alerts. Cloud Monitoring alerting helps you collaborate by integrating with Slack, PagerDuty, HipChat, Campfire, and more. This hands-on lab shows you how to monitor a Compute Engine virtual machine (VM) instance with Cloud Monitoring. You'll also install monitoring and logging agents for your VM which collects more information from your instance, which could include metrics and logs from 3rd party apps. Setup and requirements Before you click the Start Lab button Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab. To complete this lab, you need: • Access to a standard internet browser (Chrome browser recom...

• • AI & Machine Learning • API Management • Application Development • Application Modernization • Chrome Enterprise • Compute • Containers & Kubernetes • Data Analytics • Databases • DevOps & SRE • Maps & Geospatial • Security & Identity • Infrastructure • Infrastructure Modernization • Networking • Productivity & Collaboration • SAP on Google Cloud • Storage & Data Transfer • Sustainability • • IT Leaders • • Financial Services • Healthcare & Life Sciences • Manufacturing • Media & Entertainment • Public Sector • Retail • Supply Chain • Telecommunications • Partners • Startups & SMB • Training & Certifications • Inside Google Cloud • Google Cloud Next & Events • Google Maps Platform • Google Workspace • Developers & Practitioners • Transform with Google Cloud Being alerted to an issue with your application before your customers experience undue interruption is a goal of every development and operations team. While methods for identifying problems exist in many forms, including uptime checks and application tracing, alerts on logs is a prominent method for issue detection. Previously, Today, we’re happy to announce the preview of log-based alerts, a new feature that opens alerts to all log types, adds new notification channels, and helps you make alerts more actionable within minutes. The alert updates include: • the ability to set alerts on any log type and content, • additional notification channels such as SMS, email groups, webhooks (and more!) and • a metadata field ...

Last modified on: April 3, 2023 If your app uses Google APIs to access Google users’ data, you might have to complete a verification process before you publish your app. The applicability of this requirement to your app depends mostly on two factors: the type of user data you access—public profile information, calendar entries, files in Drive, certain health and fitness data, and so on—and the degree of access you need—read-only, read and write, and so on. When you use OAuth 2.0 to get permission from your users to access this data, you use strings called scopes to specify the type of data you want to access and how much access you need. If your app requests scopes categorized as sensitive or restricted, you will probably need to complete the verification process (see, however, the exceptions). A few examples of sensitive scopes are some of the scopes used by the Calendar API, People API, and YouTube Data API, but there are others. Restricted scopes are fewer in number, currently including only scopes used by the Gmail APIs, Drive APIs, and Google Fit APIs. The process you need to complete depends on whether your app requests sensitive scopes, or restricted scopes (all apps must complete the first process, brand verification): • All apps that access Google APIs must verify that they accurately represent their identity and intent as specified by Google’s API Services User Data Policy. If you change any of the details that appear on your OAuth consent screen, such ...

GSP089 Overview Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services, hosted uptime probes, application instrumentation, and a variety of common application components including Cassandra, Nginx, Apache Web Server, Elasticsearch, and many others. Cloud Monitoring ingests that data and generates insights via dashboards, charts, and alerts. Cloud Monitoring alerting helps you collaborate by integrating with Slack, PagerDuty, HipChat, Campfire, and more. This hands-on lab shows you how to monitor a Compute Engine virtual machine (VM) instance with Cloud Monitoring. You'll also install monitoring and logging agents for your VM which collects more information from your instance, which could include metrics and logs from 3rd party apps. Setup and requirements Before you click the Start Lab button Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab. To complete this lab, you need: • Access to a standard internet browser (Chrome browser recom...

Additional Resources • Map Coverage Details • Mobile OS and software support • Launch stages • Deprecations • Asset Tracking Plan • Root CA Migration FAQ • Domains • Project roles comparison • Pre-Launch Checklist • Premium Plan • URL Encoding • WordPress Users • Get Started • Get Started with Google Maps Platform • API Picker • Billing & Pricing • Security & Compliance • Reporting & Monitoring • FAQ • Support and Resources • Customer Care • Incident Management • Maps • Maps JavaScript API • Maps SDK for Android • Maps SDK for iOS • Maps Static API • Street View Static API • Maps Embed API • Maps URLs • Maps Elevation API • Map Tiles API • Maps Datasets API (Preview) • Maps Aerial View (Preview) • Web Components (Preview) • Routes • Routes API • Roads API • Directions API • Distance Matrix API • Solutions • Industry solutions • Mobility services • Places • Places API • Places SDK for Android • Places SDK for iOS • Places Library, Maps JavaScript API • Geocoding API • Geolocation API • Address Validation API • Time Zone API • Additional Resources • API Security Best Practices • Digital Signature Guide • Map Coverage Details • Optimization Guide • Mobile OS and software support • Launch stages • Deprecations • Asset Tracking Plan • URL Encoding • WordPress Users • StackOverflow • GitHub • YouTube • Discord • Twitter • Issue Tracker • Google Dev Library Cloud Monitoring collects metrics for your APIs and service and of the Google Cloud Platform resources that you use. This to...