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Service level objectives: 5 SLOs to get started

Dynatrace

But the pressure on CIOs to innovate faster comes at a cost. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience. Latency primarily focuses on the time spent in transit.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

But the pressure on CIOs to innovate faster comes at a cost. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience. Latency primarily focuses on the time spent in transit.

Traffic 173
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. Comments ().

AWS 136
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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

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