Dynatrace

JANUARY 23, 2024

While app-centric serverless approaches abstract some of the complexities of cloud-native architecture, as the analyst firm Forrester notes , the next frontier for serverless adoption is at the edge. However, edge observability can be challenging due to distribution, resource limits, and security issues. What is FinOps?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

KeyCDN

FEBRUARY 22, 2023

Each of these platforms offers a wide range of services and tools for web application development and deployment, including storage, databases, and serverless computing. Serverless architecture Following the cloud-based development and deployment trend described above, we come to the serverless architecture trend.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy.

AWS 252

AWS Efficiency Azure Cloud 252

High Scalability

JUNE 15, 2018

JoeEmison : Another thing that serverless architectures change: how do you software development. The end of Dennard Scaling and Moore's Law means architecture is where we have to innovate to improve performance, cost, and energy. Domain Specific Architectures are getting 20x and 40x improvements, not just 5-10%.

Internet 113

Internet Internet Scalability Blockchain 113

The Morning Paper

JUNE 13, 2019

Perhaps inspired by serverless in spirit and in terminology, the path forward proposed in this paper is towards a managed and model-less inference serving system. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling). autoscaling). Model-less is more confusing.

Hardware 58

Hardware Latency Serverless Energy 58