O'Reilly

NOVEMBER 12, 2019

Respondents who have implemented serverless made custom tooling the top tool choice—implying that vendors’ tools may not fully address what organizations need to deploy and manage a serverless infrastructure. A related point: the rise of the serverless paradigm coincides with what we’ve referred to elsewhere as “ Next Architecture.”

Serverless 88

Serverless Architecture FinTech Infrastructure 88

O'Reilly

OCTOBER 31, 2019

But unlike Watson, I can tell you where those quantum computers will be: they will live in the cloud. The total market might end up being a few dozen—but because of the cloud, that will be all we need. The language, practices, and tools of cloud native architecture are prominent in Velocity Berlin proposals.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. Serverless can be achieved on Clouds. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

O'Reilly Software

APRIL 4, 2018

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. Mesos achieves that unification by aggregating the infrastructure resources, and then offering resources slices, like x CPUs, y MB RAM, and z GB disk, to applications.

Architecture 80

Architecture Scalability Google Operating System 80

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. Also: infrastructure and operations is trending up, while DevOps is trending down. Coincidence?

Software Architecture 137

Software Architecture DevOps Data Engineering Architecture 137

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. •

Cloud 141

Cloud Serverless AWS Architecture 141

Strategic Tech

JUNE 2, 2021

Architecture Modernization Sequencing Grid Starting with a new Product or Feature An example of low hanging modernization fruit is a brand new feature that needs to be built and can be delivered in isolation with no dependencies on existing systems. There is a lot to be discovered by modernizing an existing part of the architecture.

Architecture 52

Architecture Infrastructure Technology Technology 52

O'Reilly

DECEMBER 2, 2019

What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? If an office can get that kind of bandwidth to my laptop, with adequate guarantees for cloud security, why should we worry about office LANs? I do regular backups, but I know I’m the exception.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. All ML projects are software projects. In effect, the engineer designs and builds the world wherein the software operates.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140

The Netflix TechBlog

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow is a cloud-native framework.

Open Source 232

Open Source AWS Infrastructure Energy 232

The Netflix TechBlog

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow is a cloud-native framework.

Open Source 134

Open Source AWS Infrastructure Energy 134

O'Reilly

MARCH 2, 2020

Agile is not, and never was, about getting developers to write software faster. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. This is important. Neckbeards? Geeks and nerds?

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

Strategic Tech

JANUARY 24, 2021

When I worked with Salesforce, the top-level organizational abstractions were clouds. The Salesforce Marketing Cloud was a substantial business in it’s own right, employing thousands of people and generating close to a billion dollars in revenue per-year. Part 2 of this series looked at the lowest organzational abstraction level?

Architecture 98

Architecture Mobile Infrastructure Cloud 98

Strategic Tech

JUNE 4, 2019

One of the key decisions we need to make in software architecture and in our organisations is when and where to create shared services and organise teams to build them. The shared service team are committed to building cloud native systems and deploying to production every day. Will the shared service team be responsive?

Software Architecture 40

Software Architecture Efficiency Innovation Architecture 40

All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Cluster GPU programming in the Cloud with the Amazon Web Services changes of all of that. Comments ().

AWS 136

AWS Latency Programming Architecture 136

Strategic Tech

JUNE 23, 2018

Loosely-coupled teams enabled by loosely-coupled software architecture is one of the strongest predictors of continuous delivery performance and organizational scaling. Whenever a team starts on a piece of work they should own all of the code and infrastructure that needs to change in order to deliver the work.

Systems 40

Systems Social Media Design Media 40