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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 248
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A MyRocks Use Case

Percona

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. Conclusion.

Storage 55
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Driving Compute Cost Down for AWS Customers - All Things.

All Things Distributed

Driving Compute Cost Down for AWS Customers. AWS today announced a substantial price drop from March 1, 2012 for many of the Amazon EC2, Amazon RDS, and Amazon ElastiCache instances types around the world. For example, the popular m1.small We will continue to drive AWS prices down, even without any competitive pressure to do so.

AWS 106
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How to Assess MySQL Performance

HammerDB

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9

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Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

caching (Memcached etc.), For example, XA transactions block execution if the application process fails during the prepare phase; moreover, XA provides no deadlock detection and no support for optimistic concurrency-control schemes. High availability, via standby instances across AWS Availability Zones.

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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. When a new leader is elected it loads all data from external storage. The cache is kept in sync with the current leader process.

Cache 230
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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it. Countdown to What is Next in AWS.

Servers 125