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Kubernetes vs Docker: What’s the difference?

Dynatrace

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Dynatrace news. What is Docker?

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Save Money in AWS RDS: Don’t Trust the Defaults

Percona

Default settings can help you get started quickly – but they can also cost you performance and a higher cloud bill at the end of the month. I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. Want to save money on your AWS RDS bill?

AWS 117
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Towards a Reliable Device Management Platform

The Netflix TechBlog

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213
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Get out-of-the-box visibility into your ARM platform (Early Adopter)

Dynatrace

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. We understand the dependencies between the mainframe, data center, and cloud, including all application components and even end-user experience.

Java 133
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From Proprietary to Open Source: The Complete Guide to Database Migration

Percona

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

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Structural Evolutions in Data

O'Reilly

Cloud computing? Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand. Not that you’ll even need GPU access all that often.

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Python at Netflix

The Netflix TechBlog

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.