Strategic Tech
AUGUST 10, 2020
If every significant architecture decision has business consequences, then knowing the business model and which trade-offs to choose is maybe the most important skill of architects. But what is the actual relationship between a business model and a software architecture? A software system is a model of a domain.
O'Reilly Software
SEPTEMBER 7, 2018
From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content. We received more than 200 abstracts for talks for the 2018 O'Reilly Software Architecture Conference in London—on both expected and surprising topics.
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Percona
MARCH 21, 2023
Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.
O'Reilly
FEBRUARY 18, 2020
Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration. Trends in software architecture, infrastructure, and operations.
Dynatrace
MAY 23, 2022
According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. This is usually a relational database management system.
O'Reilly
OCTOBER 31, 2023
Simpler, Please Kubernetes : Everyone (well, almost everyone) is using Kubernetes to orchestrate large applications that are running in the cloud. That’s no doubt true; prior to its release as an open source project, Kubernetes was Google’s Borg, the almost legendary software that ran their core applications. We haven’t seen it.
O'Reilly
OCTOBER 19, 2021
Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.
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