All Things Distributed
MARCH 23, 2021
Back then, Amazon was ~2% of its size today, and was growing faster than traditional IT systems could support. We had to rethink everything previously known about building scalable systems. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business.
Dynatrace
DECEMBER 22, 2021
Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.
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All Things Distributed
SEPTEMBER 20, 2013
Not everybody agreed that the "N-ary Storage Model" (NSM) was the best approach for all workloads but it stayed dominant until hardware constraints, especially on caches, forced the community to revisit some of the alternatives. A Decomposition Storage Model , George P. Copeland and Setrag N.
SQL Server According to Bob
JANUARY 11, 2020
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Brendan Gregg
NOVEMBER 29, 2017
It's amazing to recall that it was even possible to virtualize x86 before processors had hardware-assisted virtualization (Intel VT-x and AMD-V), which were added in 2005 and 2006. But not all workloads: some are network bound (proxies) and storage bound (databases). ## 5. . --> Remember the original VMware x86 hypervisor from 1998?
SQL Server According to Bob
DECEMBER 18, 2018
Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. The Back Story.
ScaleOut Software
JUNE 22, 2020
Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.
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