Remove Fractional CTO Remove Microservices Remove Scalability Remove Trends
article thumbnail

Apiumhub is delighted to support YOW! LONDON 2022

Apiumhub

It is an excellent opportunity for tech leaders, developers, architects, and business innovation leaders to learn about the latest tech trends, get informed, and meet like-minded people in the industry. Linda Rising – Independent Consultant, Author of numerous books & Queen of patterns. Meet the speakers.

article thumbnail

Beyond Visibility: Proactive Cloud Workload Security in the Real World

Prisma Clud

Over the last 5 years, our team at Prisma Cloud has witnessed an extraordinary surge in the adoption of cloud-native technologies. One trend that stands out is the ongoing migration to the public cloud. New applications often use scalable and cost-effective serverless functions.

Cloud 105
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Global Software Architecture Summit 2022 Recap

Apiumhub

We are proud to have had a lineup of speakers from different nationalities, including: Mark Richards is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems. Eswaran Thandi has over 2.5 Workshops.

article thumbnail

Research Results: Key software architecture metrics

Apiumhub

So, let’s analyze software architecture metrics that got mentioned on the survey to build scalable projects. . Eoin Woods – CTO @ Endava. Mark Richards – Independent Consultant @ developertoarchitect and Hands-on Software Architect. João Rosa – Strategic Software Consultant @ Xebia. Coherence. .

Metrics 94
article thumbnail

CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This trend has the amazing effect of decreasing the number of SQL databases necessary to run a business, as well as creates an infrastructure capable of dealing with problems that SQL databases cannot.

Cloud 88
article thumbnail

AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML. The CEO loves the idea and wants the CTO to work out the details with the team to figure out what they need to make it happen.

article thumbnail

The Cloud in 2021: Adoption Continues

O'Reilly Media - Ideas

This year, we wanted to see whether that trend continued, so we ran another online survey from July 26, 2021, to August 4, 2021. Industry to industry, we saw few differences in cloud providers, with two exceptions: Azure is used more heavily than AWS in the government and consulting & professional services sectors. 8% are managers.

Cloud 135