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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? GCF is part of the Google Cloud Platform. How Google Cloud Functions works.

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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Minimal disk consumption.

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Dynatrace Managed now available on all major cloud platforms

Dynatrace

While to-date it’s been possible to integrate Dynatrace Managed for intelligent monitoring of services running on AWS and Azure, today we’re excited to announce the release of our Dynatrace Managed marketplace listing for the Google Cloud Platform. Dynatrace Managed now available on the Google Cloud Platform.

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ChatOps integration with Dynatrace and Telegram or Google Chat

Dynatrace

But now, chat platforms like Telegram and Google Chat have become the preferred way to communicate. ChatOps integration between the Dynatrace observability and security platform and chat platforms like Telegram and Google Chat enables you to get updates and notifications about the performance and health of your systems right as they happen.

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Observe syslog with Dynatrace ActiveGate, a secure, trusted edge component

Dynatrace

You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. Read syslog ingestion documentation with configuration samples. See installation documentation for setup. Setting up your first Environment ActiveGate?

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Why Not document.write()?

CSS Wizardry

The Preload Scanner is a secondary, inert, download-only parser that’s responsible for running down the HTML and asynchronously requesting any available subresources it might find, chiefly anything contained in src or href attributes, including images, scripts, stylesheets, etc. src = ' file.js ' ; document. var script = document.

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Unbundling the Graph in GraphRAG

O'Reilly

at Google, and “ Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ” by Patrick Lewis, et al., Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents.