Linux Academy

JANUARY 26, 2019

Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before. These monolithic architectures are difficult to migrate and often require decoupling to break them into service-level components that can be optimized in cloud infrastructures.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. These smaller services can be highly efficient and lend themselves to high scalability, but not without loading DevOps teams with the additional pressure of housekeeping.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

O'Reilly Media - Ideas

JANUARY 2, 2019

Developing Incremental Architecture , February 11-12. Fundamentals of IoT with JavaScript , February 14-15. Microservice Fundamentals , January 10. Microservices Architecture and Design , January 16-17. Domain-Driven Design and Event-Driven Microservices , January 22-23. DevOps Toolkit , January 28-29.

Course 58

Course Artificial Inteligence Training Blockchain 58

O'Reilly Media - Ideas

MAY 1, 2019

IoT Fundamentals , June 17-18. Network DevOps , June 6. Deploying Container-Based Microservices on AWS , June 10-11. Designing Serverless Architecture with AWS Lambda , June 11-12. Software Architecture Foundations: Characteristics and Tradeoffs , June 14. Microservices Caching Strategies , June 17.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Applications are becoming more modular, leveraging containers and microservices as well as virtualization and bare metal. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Kentik

MARCH 7, 2018

IoT plays a key role in sensing all of the critical elements in the physical world and delivering a continuous feed of sensor data to a Big Data analytics cluster situated in the cloud. Digital transformation in this sector will have major implications for enterprise IT systems, software and network infrastructure. Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Machine Learning for IoT , March 20. Software Architecture by Example , February 21. Microservice Collaboration , March 7. Software Architecture by Example , March 18. Network DevOps , March 29.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Sunflower Lab

MARCH 29, 2018

Understand the pros and cons of monolithic and microservices architectures and when they should be used – Why microservices development is popular. The traditional method of building monolithic applications gradually started phasing out, giving way to microservice architectures. What is a microservice?

Microservices 60

Microservices Architecture Applications Software Review 60

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). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Agile Engine

DECEMBER 3, 2023

The challenge: 5 seconds before the first meaningful render The legacy architecture underlying the company’s e-stores didn’t support high load speeds at scale. platform, our experts took ownership of the AWS account configuration and infrastructure architecture. Planning to modernize your cloud architecture?

UI/UX 52

UI/UX Budget Applications Technical Review 52

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. The microservice movement will reignite the need for orchestration.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

OpenCredo

MAY 14, 2020

A significant factor in this journey has been the ability to automate infrastructure delivery – and as complexity has grown with the adoption of microservices, big data and IOT, this automation has evolved to become more sophisticated. Complexity & DevOps. In some cases, this might well be a valid conclusion.

System 52

System Weak Development Team Microservices Off-The-Shelf 52

Tenable

APRIL 24, 2023

Security teams need a base understanding of Kubernetes architecture, configurations and deployment processes to effectively manage risk. For example, modern applications are made up of dozens or hundreds of individual container images and microservices. Here’s what you need to know.

Software Review 52

Software Review Policies Systems Review Technical Review 52

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing. Therefore, more entities within production and the application lifecycle need to be protected.

Enterprise 78

Enterprise Cloud Serverless Artificial Intelligence 78

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems Review 63

Systems Review System Microservices Software Review 63

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. HCP, Hitachi Content Platform, lets users securely move data to, from, and among multiple cloud services, and better manage use cases including data governance, IoT, and big data.

Cloud 49

Cloud AWS Azure Data Center 49

ParkMyCloud

AUGUST 29, 2019

ARC201 – Comparing serverless and containers – Microservices are a great way to segment your application into well-defined, self-contained units of functionality. Come join us in this chalk talk as we discuss two common architectures for deploying microservices: containers and serverless.

AWS 12

AWS How To Serverless Microservices 12

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. Streaming, IoT, and time series mature. The ongoing evolution of data engineering is borne out by the prominence of streaming and Internet of Things (IoT)-related terms in this year’s proposals topics.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8