Cloud explained | IBM

Cloud explained

Hanging umbrellas — Cloud

Event-Driven Architecture vs. Event Streaming

26 February 2021

By: Christian Milam

2 min read

What’s the difference, how can they benefit you and which is the right choice for your business?

Building at night — Automation

Automation at the Edge

18 February 2021

By: Ashok Iyengar and Kavitha Bade

7 min read

This post provides an overview of network automation and highlights how automation is facilitated in the last mile by edge computing.

Blue abstract shapes — Artificial intelligence

AIOps: A Path to Reliability at Cloud Scale

27 January 2021

By: Benedict Fernandes

9 min read

How to address service reliability pain points, accelerate incident resolution and enhance service reliability with AIOps.

Pen and notebook — Cloud

Important Aspects to Consider When Implementing Cloud Solutions

6 January 2021

By: Balagopal Thotakura

6 min read

A look at some important elements to consider during the planning, design, and implementation phases.

Black and white experimental art — Cloud

12+ Factors for Containerized UI Microservices

18 December 2020

By: Shikha Srivastava and Kirti Apte

11 min read

Software application projects can sometimes end with monolithic user interfaces, even when using a microservices architecture.

A column of bells — Analytics

Clusters at the Edge

9 December 2020

By: Ashok Iyengar and Kavitha Bade

6 min read

Most of the earlier blogs in this ongoing series on edge computing talked about devices.

Geometric architecture — Analytics

AI Model Lifecycle Management: Monitor Phase

20 November 2020

By: Dmitriy Rybalko

9 min read

The AI Model Lifecycle isn’t completed when a model is deployed to production; you need to continually monitor and manage the model in production.

Bubbles — DevOps

Application Modernization: What to Prioritize for Migration (Part 2)

18 November 2020

By: Matthew Perrins

3 min read

What, why and how to migrate in your application modernization process.

White abstract architecture — Analytics

AI Model Lifecycle Management: Deploy Phase

18 November 2020

By: Dmitriy Rybalko

5 min read

The general process of machine learning model deployment and its realization with the IBM Cloud Pak® for Data.