Confluent

FEBRUARY 6, 2019

Developer-focused frameworks like Deeplearning4j: These frameworks are built for software engineers to build the whole machine learning lifecycle on the Java platform, not just model deployment and monitoring but also preprocessing and training. These standards have pros and cons. Some people like and use them; many don’t.

Artificial Inteligence 106

Artificial Inteligence Machine Learning Scalability Data Engineering 106

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

OpenCredo

FEBRUARY 11, 2022

All the major cloud providers now have a serverless computing offer as part of their services portfolio: Amazon Web Services has Lambda, Microsoft Azure has Azure Functions, and Google Cloud has Cloud Functions. Serverless functions focus on building functions as microservices. Google Cloud.

Serverless 52

Serverless Testing Software Review Lambda 52

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. • More than half of respondent organizations use microservices. Respondent Demographics.

Cloud 143

Cloud Microservices Serverless Survey 143

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

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. Software Development Layers. This approach is not novel.

DevOps 142

DevOps Data Software Review Technical Advisors 142

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

Honeycomb

FEBRUARY 13, 2020

What do a test engineer and a DevOps or SRE team member have in common? The reality is that different teams need to proactively understand what is happening in production at critical milestones along the software engineering delivery cycle. We need to ask interesting questions of production.

Engineering 57

Engineering DevOps Testing Software Engineering 57

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 86

Cloud Fractional CTO Software Review Banking 86

Confluent

OCTOBER 10, 2019

Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. In the same way, industrial protocols are a book with seven seals for software engineers. The content of this blog post is also captured in this interactive lightboard recording called End-to-End Integration: IoT Edge to Confluent Cloud.

IoT 20

IoT Internet Weak Development Team Scalability 20

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

O'Reilly Media - Ideas

DECEMBER 7, 2021

In every industry, at least 75% of the respondents work for organizations using the cloud. The most proactive industries are retail & ecommerce, finance & banking, and software. Most respondents use multiple cloud providers. 1 ), software engineer (3.9%), CTO (3.0%), software developer (3.0%), and architect (2.3%).

Cloud 137

Cloud eCommerce Azure Google Cloud 137