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Dynatrace achieves Google Cloud Ready – Cloud SQL designation

Dynatrace

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server.

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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.

Google 225
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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? Google Cloud Functions is a serverless compute service for creating and launching microservices.

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Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

As a front-runner for auto-instrumentation in the observability space, Dynatrace has rolled out support for these technologies to expand its coverage for mobile applications. New development frameworks from the key players Apple, Google, and Microsoft, among others, are heavily invested in development tools and frameworks.

Mobile 269
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Tech Transforms podcast: It’s time to get familiar with generative AI

Dynatrace

However, AI is a relatively new technology. The necessary documentation for institutional knowledge transfer does not exist. Apple Podcasts Spotify Google Podcasts Amazon Music Pocket Casts Stitcher The post Tech Transforms podcast: It’s time to get familiar with generative AI appeared first on Dynatrace news.

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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Identify data use cases and develop a scalable delivery model with documentation. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

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