Remove Business Continuity Remove Disaster Recovery Remove Microservices
article thumbnail

Designing generative AI workloads for resilience

AWS Machine Learning - AI

Understanding and prioritizing resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements. That will safeguard your prompts in case of accidental loss or as part of your overall disaster recovery strategy. Generative AI workloads are no different.

article thumbnail

14 in-demand cloud roles companies are hiring for

CIO

Skills: Relevant skills for a cloud systems engineer include networking, automation and scripting, Python, PowerShell, automation, security and compliance, containerization, database management, disaster recovery, and performance optimization.

Cloud 195
Insiders

Sign Up for our Newsletter

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

article thumbnail

The blockchain beyond bitcoin

O'Reilly Media - Data

The distributed capability is critical to business processes in that it ensures high availability and redundancy for cases such as disaster recovery. Fundamentally, a smart contract can be created with nothing more than a microservice with a trigger event, otherwise known as function-as-a-service (FaaS) or a serverless model.

article thumbnail

7 Ways to build Enterprise Readiness into your SaaS roadmap

CloudGeometry

They will want to know if you can give them access to changes in your APIs to validate that your enhancements don’t have downstream effects Well factored changes: Microservice architectures can build confidence that there are fewer unforeseen dependencies in your release train. They are more committed and dependent on you. Read more here. #6

article thumbnail

What Is Cloud Computing? Services, Types, Advantages and Use Cases

Kaseya

Here are some of them: Function-as-a-Service (FaaS) or Serverless Computing: FaaS provides a platform that allows users to execute code in response to specific events without managing the complex infrastructure typically associated with building and launching microservices applications.

Cloud 105
article thumbnail

What is Private Cloud Architecture: Complete Overview

OTS Solutions

Additionally, private cloud architecture offers scalability and flexibility, allowing businesses to easily expand their infrastructure as their needs evolve, without compromising performance. Embracing containerization and microservices helps organizations achieve agility, scalability, and efficient resource utilization.

article thumbnail

15 Books by leading software architects

Apiumhub

This guide demonstrates the authors’ ideas in action with three real-world case studies: datacenter replication for business continuity, management of a continuous deployment pipeline, and migration to a microservice architecture. . Testing Java Microservices ” by Alex Soto Bueno, Jason Porter, Andy Gumbrecht.