The Netflix TechBlog
NOVEMBER 12, 2024
Rollup Pipeline: Each Counter-Rollup server operates a rollup pipeline to efficiently aggregate counts across millions of counters. This is only an indication to the Rollup server that this counter has been accessed and now needs to be aggregated. With this approach, the counts continually converge to their latest value.
Dynatrace
AUGUST 12, 2020
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”.
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Scalegrid
JUNE 7, 2024
In this article, we will explore what RabbitMQ is, its mechanisms to facilitate message queueing, its role within software architectures, and the tangible benefits it delivers in real-world scenarios. Each message needs to be flagged as durable to withstand server reboots. Each message gets tagged for its journey ahead.
Dynatrace
AUGUST 12, 2020
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”.
Dynatrace
MAY 23, 2022
Generally speaking, monolithic architecture is composed of three parts: Database. Server-side application. However, in a monolithic architecture, the entire application — including dependencies — is built on a single platform with a single executable for deployment. Monolithic architecture pros. Easier to develop.
Software Architecture
AUGUST 24, 2017
Means that data might be lost in Memcached after a reboot of the server/machine. Memcached stores variables in memory and retrieves data directly from server memory. On the other hand, Redis can handle persistent data, and by default Redis syncs data to the disk at least every 2 seconds. Redis is like a database that resides in memory.
Software Architecture
AUGUST 24, 2017
When you’re working with a database which runs on only one server, consistency is a non-issue. But when you’re running on multiple servers that can span multiple racks and multiple data centres, you can always run into issues where data on one server or data on one replica node is different from data on other replica node.
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