Confluent

FEBRUARY 6, 2019

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Exadel

DECEMBER 4, 2019

We started identifying some of our strongest areas of digital software engineering excellence and what we could do to enhance these strengths for our clients. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). We’ve launched new solutions and a new innovation platform.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

O'Reilly Media - Ideas

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. More than half of respondents use multiple cloud services. • But most Azure and GCP users also use AWS; the reverse isn’t necessarily true.

Cloud 141

Cloud Microservices Serverless Survey 141

O'Reilly Media - Ideas

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 141

DevOps Data Software Review Technical Advisors 141

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Initially, companies utilized Kubernetes mainly for running containerized microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven? Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Confluent

MARCH 4, 2019

Thus, they created different Terraform scripts for each cloud provider that would be offered as an option, such as Amazon Web Services (AWS) , Google Cloud and Microsoft Azure. To learn more about Apache Kafka as a service: Check out Confluent Cloud , a fully managed streaming data service based on Apache Kafka.

Cloud 89

Cloud Fractional CTO Software Review Banking 89

O'Reilly Media - Ideas

DECEMBER 7, 2021

Amazon Web Services (AWS) (62%), Microsoft Azure (48%), and Google Cloud (33%) are still the big three, though Amazon’s market share has dropped slightly since last year (down from 67%). Most respondents use multiple cloud providers. AWS, Azure, and Google Cloud: The big three and beyond.

Cloud 131

Cloud eCommerce Azure Google Cloud 131