Remove 2012 Remove Storage Remove Technology Remove Tuning
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 178
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Structural Evolutions in Data

O'Reilly

.” That came to mind when a friend raised a point about emerging technology’s fractal nature. ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. ” (It will be easier to fit in the overhead storage.) Cloud computing? “What if we leave an hour earlier?”

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Expanding the Cloud ? Announcing Amazon Redshift, a Petabyte.

All Things Distributed

By Werner Vogels on 28 November 2012 09:00 AM. They contain large amounts of locally attached storage on multiple spindles and are connected by a minimally oversubscribed 10 Gigabit Ethernet network. s MPP architecture makes it easy to resize your cluster to keep pace with your storage and performance requirements. Comments ().

Cloud 164
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

The Dynamo paper was well-received and served as a catalyst to create the category of distributed database technologies commonly known today as "NoSQL." " Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing.

Internet 128
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Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.