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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

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Institutional Innovation - I Have a Dream

Edge Perspectives

Let me start by clarifying that the transformation I’m focused on isn’t the transformation involved in moving from one business to another (let’s say, moving from being a retailer to becoming a clothing manufacturer). Diving deeper into learning So, what does scalable learning imply?

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What is real user monitoring (RUM)?

Dynatrace

However, only highly scalable real user monitoring solutions can collect data on all user actions, while less scalable tools have to sample user actions and make inferences from partial data. Virtually any application with a user interface can benefit from regular real user monitoring. How real user monitoring works. Learn more!

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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? How do you make it scalable? . Cloud Native DevOps with Kubernetes : .

Google 132
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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? How do you make it scalable? . Cloud Native DevOps with Kubernetes : .

Google 130
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Expanding the Cloud: More memory, more caching and more performance for your data

All Things Distributed

As we prepared to launch these features, I was struck not only by the range of services we provide to enable customers to run fully managed, scalable, high performance database workloads, including Amazon RDS , Amazon DynamoDB , Amazon Redshift and Amazon ElastiCache , but also by the pace at which these services are evolving and improving.

Cache 131
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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. APIs are forever.

AWS 147