You go into the file menu and page setup, and you can decide to print on 8 ½ x 11, or maybe 11 x 14 inch paper. If you’ve been inside of a word document before, you know that you can change the page layout pretty easily. ![]() Google Slides Tips for Teachers Change the Page Layout Rather listen than read? Click here or press play below. It’s a little more conversational than how I normally write - because this is taken from a favorite podcast episode. This blog post is a modified version of the transcript to a past episode of the Easy EdTech Podcast. Let’s dive into the list of nine favorite Google Slides tips! Depending on how you use Google Slides, just one of these could be a complete game changer for you this school year! So I put together today’s blog post to share nine quick tips covering topics like collaborative activities and favorite work arounds for teachers using Google Slides. It is so versatile for all learning environments– from traditional to distance learning settings. Regular readers of the blog know that I am a big fan of all things Google, especially Google Slides. I’ve been using it for what seems like forever and have seen it evolve into an even more robust platform. For instructions on configuring Managed Service for Prometheus ingestion, see Get started with managed collection.What’s not to love about Google Slides? It’s a free, powerful online presentation tool that doesn’t require any design skills. To query Prometheus data alongside Cloud Monitoring metrics, you have to first get Prometheus data into the system. To learn how to write PromQL for Google Cloud metrics, see PromQL for Cloud Monitoring metrics. PromQL-backed queries can be saved on your custom dashboards, and any dashboard chart can be opened in Metrics Explorer to perform ad hoc analysis using PromQL. You can query Cloud Monitoring metrics with PromQL by using the PromQL tab in Metrics Explorer or the Dashboard Builder. This product is in preview and open to all Google Cloud users. You can use both the Cloud Monitoring UI and Grafana, depending on which works best for any given use case. PromQL in Cloud Monitoring is enabled by default, meaning that using PromQL or Managed Service for Prometheus no longer requires you to configure, run, or scale self-hosted Grafana. You can use PromQL to query free Google Cloud system metrics, Kubernetes metrics, log-based metrics, custom metrics, and Prometheus metrics, and you can use PromQL even if you don’t use Managed Service for Prometheus. ![]() Now, developers don’t have to learn a new query language or paradigm to use Cloud Monitoring’s UI - they can keep using the same language they already know and love, and newly joined team members who already know PromQL can quickly become fluent with Cloud Monitoring.Ĭloud Monitoring’s PromQL comes with autocompletion of metric names, label keys, and label values. While using Grafana for Cloud Monitoring metrics will continue to be supported, we recognize that many customers prefer to use a Google-hosted, SLO-backed visualization and dashboarding tool instead of running their own. ![]() Today, we are excited to announce that you can now use PromQL throughout the Cloud Monitoring user interface, including in Metrics Explorer and Dashboard Builder. A few months ago, we doubled down on our commitment to open source interfaces by releasing PromQL for over 1,500 free metrics in Cloud Monitoring, usable through self-hosted Grafana. We believe that having common standards across the industry improves ease of use for everybody and helps customers avoid lock-in due to provider-specific conventions. Introducing PromQL in the Google Cloud Monitoring user interfaceCloud Monitoring is committed to open source interfaces such as Prometheus, OpenCensus, and OpenTelemetry. It’s the query language that Kubernetes developers know and love. It’s been fully adopted by the community, with lots of great query repositories, sample playbooks, and trainings for PromQL available online. Besides being bundled with Prometheus, PromQL is popular for being a simple yet expressive language for querying time series data. As Kubernetes monitoring continues to standardize on Prometheus as a form factor, more and more developers are becoming familiar with Prometheus’ built-in query language, PromQL.
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