Dynatrace

JANUARY 16, 2023

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.

Open Source 343

Open Source Java Operating System Programming 343

All Things Distributed

SEPTEMBER 3, 2013

Since you now have lots of choices to address your high performance database needs, I decided to write this blog to help you select the most appropriate services for your workload using lessons I have learnt by scaling the infrastructure for Amazon.com.

Cache 129

Cache Cloud Performance Retail 129

Rigor

NOVEMBER 7, 2019

Modern sites or apps don’t exist in one single, specific place; they are fragmented across many virtual and physical systems, in different locations, in a variety of ways: Applications can be multitiered , with different systems living in different (physical or virtual) servers or entirely different data centers. Credit: cpdos.org.

Monitoring 40

Monitoring Performance Cache Ecommerce 40

All Things Distributed

OCTOBER 2, 2017

Our straining database infrastructure on Oracle led us to evaluate if we could develop a purpose-built database that would support our business needs for the long term. In support of Amazon Prime Day 2017, the biggest day in Amazon retail history, DynamoDB served over 12.9 million requests per second.

Internet 128

Internet Internet AWS Performance 128

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps.

Cloud 40

Cloud Azure Virtualization Scalability 40