DevOps.com

  • Latest
    • Articles
    • Features
    • Most Read
    • News
    • News Releases
  • Topics
    • AI
    • Continuous Delivery
    • Continuous Testing
    • Cloud
    • Culture
    • DataOps
    • DevSecOps
    • Enterprise DevOps
    • Leadership Suite
    • DevOps Practice
    • ROELBOB
    • DevOps Toolbox
    • IT as Code
  • Videos/Podcasts
    • Techstrong.tv Podcast
    • Techstrong.tv - Twitch
    • DevOps Unbound
  • Webinars
    • Upcoming
    • Calendar View
    • On-Demand Webinars
  • Library
  • Events
    • Upcoming Events
    • Calendar View
    • On-Demand Events
  • Sponsored Content
  • Related Sites
    • Techstrong Group
    • Cloud Native Now
    • Security Boulevard
    • Techstrong Research
    • DevOps Chat
    • DevOps Dozen
    • DevOps TV
    • Techstrong TV
    • Techstrong.tv Podcast
    • Techstrong.tv - Twitch
  • Media Kit
  • About
  • Sponsor
  • AI
  • Cloud
  • CI/CD
  • Continuous Testing
  • DataOps
  • DevSecOps
  • DevOps Onramp
  • Platform Engineering
  • Sustainability
  • Low-Code/No-Code
  • IT as Code
  • More
    • Application Performance Management/Monitoring
    • Culture
    • Enterprise DevOps
    • ROELBOB
Hot Topics
  • Chronosphere Adds Professional Services to Jumpstart Observability
  • Friend or Foe? ChatGPT's Impact on Open Source Software
  • VMware Streamlines IT Management via Cloud Foundation Update
  • Revolutionizing the Nine Pillars of DevOps With AI-Engineered Tools
  • No, Dev Jobs Aren’t Dead: AI Means ‘Everyone’s a Programmer’? ¦ Interesting Intel VPUs

Home » Blogs » DevOps in the Cloud » Accenture Cloud Simulation Platform Advances DevOps

Accenture Cloud Simulation Platform Advances DevOps

Avatar photoBy: Mike Vizard on December 2, 2019 1 Comment

Accenture has launched a cloud simulation service through which DevOps teams can better determine which workloads will run best on different cloud computing environments.

Recent Posts By Mike Vizard
  • Chronosphere Adds Professional Services to Jumpstart Observability
  • VMware Streamlines IT Management via Cloud Foundation Update
  • Logz.io Taps AI to Surface Incident Response Recommendations
Avatar photo More from Mike Vizard
Related Posts
  • Accenture Cloud Simulation Platform Advances DevOps
  • Survey: Fed gov cloud success hinges on DevOps
  • Banks’ Ability to Maximize Their Use of New Digital Technologies May Be Hindered by Slow Transition to the Cloud, New Research from Accenture Shows
    Related Categories
  • Blogs
  • DevOps in the Cloud
    Related Topics
  • accenture
  • cloud computing environments
  • cloud lock-in
  • cloud platform simulation
  • developers
  • devops
  • simulation
Show more
Show less

Kishore Durg, growth and strategy lead for cloud at Accenture Technology Services, said myNAV is a cloud service created by Accenture that leverages machine learning algorithms and other forms of artificial intelligence (AI) to leverage a knowledge base Accenture developed during its decade-plus working on cloud projects. DevOps teams can leverage that expertise without requiring Accenture personnel onsite to account for deployment variables such as technology infrastructure, types of application workloads, data, operational models and even business outcomes before committing to a specific cloud computing platform, he said.

DevOps teams can also employ myNAV to engage in canary testing of application workloads, Durg added.

DevOps teams employing myNAV are guided through a three-step process that starts with scanning and assessing the existing infrastructure, application and data landscape to recommend the most appropriate cloud architecture. An AI engine developed by Accenture then accesses a knowledge base curated by Accenture to come up with a recommended enterprise architecture. Finally, simulation and testing tools are applied to make sure the IT environment will scale as required.

At the end of the process the DevOps team is presented with a bill of materials that resembles the bill of materials that might be presented when building a house, said Durg.

Despite commodity pricing models, not all cloud computing platforms are created equal. Various attributes of application workloads lend themselves better to different attributes of cloud computing platforms. It’s not uncommon for IT organizations to find themselves rolling back applications from a cloud platform after encountering performance issues or discovering that cost of running a specific type of application on a cloud exceeded their available budget.

Durg said 3-D visualization tools make it a lot easier to determine which cloud platform to employ and derive the maximum value from that investment by ensuring the cloud environment chosen is optimized for that application workload. Accenture research suggests that as many as two-thirds of organizations are not getting the maximum value from their cloud investments, he noted, and most of those issues stem from the cloud platform being poorly configured, added Durg.

Whether by accident or deliberate, most IT organizations are employing multiple clouds to build and deploy applications, but their cloud platform selection process is often haphazard. Developers often default to the cloud platform that is easiest for them to access, which could create cloud platform lock-in. Cloud simulation platforms make it easier for the entire IT team to better appreciate the trade-offs in selecting one cloud platform over another.

Of course, most IT teams would like to unify the management of multiple clouds under a single console through which they can more easily play one service provider off against another using a hybrid cloud computing model. Until that day arrives, however, most IT organizations will find it advantageous to know as much as possible about any cloud platform before making a decision they may come to regret.

— Mike Vizard

Filed Under: Blogs, DevOps in the Cloud Tagged With: accenture, cloud computing environments, cloud lock-in, cloud platform simulation, developers, devops, simulation

« Tricentis Named a Leader in the 2019 Gartner Magic Quadrant for Software Test Automation for Fifth Year in a Row
DevOps Chats: App Attention Index and The Era of Digital Reflex, with AppDynamics »

Techstrong TV – Live

Click full-screen to enable volume control
Watch latest episodes and shows

Upcoming Webinars

Securing Your Software Supply Chain with JFrog and AWS
Tuesday, June 6, 2023 - 1:00 pm EDT
Maximize IT Operations Observability with IBM i Within Splunk
Wednesday, June 7, 2023 - 1:00 pm EDT
Secure Your Container Workloads in Build-Time with Snyk and AWS
Wednesday, June 7, 2023 - 3:00 pm EDT

GET THE TOP STORIES OF THE WEEK

Sponsored Content

PlatformCon 2023: This Year’s Hottest Platform Engineering Event

May 30, 2023 | Karolina Junčytė

The Google Cloud DevOps Awards: Apply Now!

January 10, 2023 | Brenna Washington

Codenotary Extends Dynamic SBOM Reach to Serverless Computing Platforms

December 9, 2022 | Mike Vizard

Why a Low-Code Platform Should Have Pro-Code Capabilities

March 24, 2021 | Andrew Manby

AWS Well-Architected Framework Elevates Agility

December 17, 2020 | JT Giri

Latest from DevOps.com

Chronosphere Adds Professional Services to Jumpstart Observability
June 2, 2023 | Mike Vizard
Friend or Foe? ChatGPT’s Impact on Open Source Software
June 2, 2023 | Javier Perez
VMware Streamlines IT Management via Cloud Foundation Update
June 2, 2023 | Mike Vizard
Revolutionizing the Nine Pillars of DevOps With AI-Engineered Tools
June 2, 2023 | Marc Hornbeek
No, Dev Jobs Aren’t Dead: AI Means ‘Everyone’s a Programmer’? ¦ Interesting Intel VPUs
June 1, 2023 | Richi Jennings

TSTV Podcast

On-Demand Webinars

DevOps.com Webinar ReplaysDevOps.com Webinar Replays

Most Read on DevOps.com

What Is a Cloud Operations Engineer?
May 30, 2023 | Gilad David Maayan
Forget Change, Embrace Stability
May 31, 2023 | Don Macvittie
No, Dev Jobs Aren’t Dead: AI Means ‘Everyone’s a Programmer’? ¦ Interesting Intel VPUs
June 1, 2023 | Richi Jennings
Five Great DevOps Job Opportunities
May 30, 2023 | Mike Vizard
Checkmarx Brings Generative AI to SAST and IaC Security Tools
May 31, 2023 | Mike Vizard
  • Home
  • About DevOps.com
  • Meet our Authors
  • Write for DevOps.com
  • Media Kit
  • Sponsor Info
  • Copyright
  • TOS
  • Privacy Policy

Powered by Techstrong Group, Inc.

© 2023 ·Techstrong Group, Inc.All rights reserved.