Remove 2005 Remove Scalability Remove Technology
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Happy 15th Birthday Amazon S3 -- the service that started it all

All Things Distributed

15 years is a long time in the world of technology. We had to rethink everything previously known about building scalable systems. When we took a hard look at our storage for the Amazon ecommerce web site in 2005, we realized that the majority of our data needed an object (or key-value) store.

Ecommerce 210
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Observability platform vs. observability tools

Dynatrace

For example, in 2005, Dynatrace introduced a distributed tracing tool that allowed developers to implement local tracing and debugging. OpenTelemetry data and the Dynatrace observability platform enable scalable, effective observability across your services. The case for an integrated observability platform.

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It’s time to migrate from NAM to Dynatrace

Dynatrace

Introducing network probes: the new scalability challenges were solved with products like NV and AV. Application availability and performance measured using network probe technology. Technology developments come in waves. The network performance engineer who managed the sniffer was the guru. ” The AppMon wave.

Network 167
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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. If you have a largely static site you can rely on the enormous power of S3 to make serving your content highly scalable and storing it extremely durable. I have regenerated all pages since 2005, the pages before that can be found in the "/historical" section.

Servers 112
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Top 8 Best Backend Frameworks

KeyCDN

Features Simple and fast routing engine Comes with its own CLI Powerful template system (Blade) Good documentation CakePHP CakePHP is one of the first PHP frameworks to be released back in 2005. Phoenix uses a combination of tried and true technologies with the fresh ideas of functional programming.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.