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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.

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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. Dynatrace news.

Google 211
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Managing hybrid cloud infrastructure with an observability platform

Dynatrace

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds.

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Kubernetes in the wild report 2023

Dynatrace

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Kubernetes moved to the cloud in 2022. Java, Go, and Node.js

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PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Scalegrid

In this latest trends report, we analyze the most popular cloud providers for PostgreSQL, VACUUM strategies, query management strategies, and on-premises vs. public cloud use being leveraged by enterprise organizations. Most Popular Cloud Providers for PostgreSQL Hosting. of PostgreSQL cloud use compared to 55.0%

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Intro to Redis Sharding

Scalegrid

ScaleGrid offers managed DBaaS solutions to simplify scaling and managing Redis deployments with features such as dynamic scaling with minimal downtime, automated backups, and high availability, suitable for cloud platforms like AWS, Azure, and Google Cloud. These are allocated across multiple Redis cluster nodes.

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The Return of the Frame Pointers

Brendan Gregg

2014: Java in Flames Broken Java Stacks (2014) When I joined Netflix in 2014, I found Java's lack of frame pointer support broke all application stacks (pictured in my 2014 Surge talk on the right). We may get there with future technologies I'll cover later. But I'd rather the cost be zero, of course!

Java 145