Remove Analytics Remove Architecture Remove Internet Remove Latency
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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Latency is the time that it takes a request to be served. Use SLO data to communicate with stakeholders and drive better business decisions. Reliability.

Software 266
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Three Other Models of Computer System Performance: Part 1

ACM Sigarch

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy.

Systems 60
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Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

DNS is one of the fundamental building blocks of internet applications and was high on the wish list of our customers for some time already. DNS is an absolutely critical piece of the internet infrastructure. The Domain Name System is a wonderful practical piece of technology; it is a fundamental building block of our modern internet.

Cloud 117
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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

Cloud 118
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This week in review: GPUs, Zombies, Biomimicry and Tom Waits.

All Things Distributed

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Science & Engineering.

AWS 67
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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

I don’t advocate “Serverless Only”, and I recommended that if you need sustained high traffic, low latency and higher efficiency, then you should re-implement your rapid prototype as a continuously running autoscaled container, as part of a larger serverless event driven architecture, which is what they did.

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In-Stream Big Data Processing

Highly Scalable

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. For example, consider a system that calculates average purchase value in the internet shop for each hour. Daily average cannot be obtained from 24 hourly average values.

Big Data 154