Azure Cloud Software Architecture 
Dynatrace
AUGUST 12, 2020
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.
Dynatrace
AUGUST 12, 2020
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.
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Dynatrace
DECEMBER 8, 2021
As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.
O'Reilly
MAY 19, 2020
O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •
Dynatrace
APRIL 19, 2023
When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Organizations need greater transparency and visibility into core multi- and hybrid cloud environments to combat these challenges.
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.
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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