Remove 2012 Remove Architecture Remove Availability Remove Latency
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SQL Server 2016 – It Just Runs Faster: Always On Availability Groups Turbocharged

SQL Server According to Bob

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). First, we looked at the overall architecture of the replica design.

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Expanding the Cloud ? Provisioned IOPS for Amazon RDS - All.

All Things Distributed

By Werner Vogels on 25 September 2012 06:00 PM. By the way, for mission critical OLTP workloads, you should also consider adding the Amazon RDS Multi-AZ option to improve availability. Being able to get consistent performance from the database tier has a huge impact on the application architecture. s architecture.

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Improving the Cloud - More Efficient Queuing with SQS - All Things.

All Things Distributed

By Werner Vogels on 08 November 2012 03:00 PM. For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems.

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The Performance Inequality Gap, 2021

Alex Russell

The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. Modern network performance and availability. low-end Androids have finally caught up to the iPhone 5 from 2012. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.

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Hobson's Browser

Alex Russell

The situation is even more acute in WebView IABs, which tend not to fully support features from these categories even when they appear available to developers via script. No documentation is available for third-party web developers from any of the largest WebView IAB (ab)users. How can that be? Small Changes to Restore Choice #.

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Zero Configuration Service Mesh with On-Demand Cluster Discovery

The Netflix TechBlog

Since there were no existing solutions available, we needed to build them ourselves. To improve availability, we designed systems where components could fail separately and avoid single points of failure. In this architecture, service to service communication no longer goes through the single point of failure of a load balancer.

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AppFabric Caching: Retry Later

ScaleOut Software

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Use Fully Peer-to-Peer Design for Simplicity and High Availability. Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth.

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