Tech Field Day

The Independent IT Influencer Event

  • Home
    • The Futurum Group
    • FAQ
    • Staff
  • Sponsors
    • Sponsor List
      • 2025 Sponsors
      • 2024 Sponsors
      • 2023 Sponsors
      • 2022 Sponsors
    • Sponsor Tech Field Day
    • Best of Tech Field Day
    • Results and Metrics
    • Preparing Your Presentation
      • Complete Presentation Guide
      • A Classic Tech Field Day Agenda
      • Field Day Room Setup
      • Presenting to Engineers
  • Delegates
    • Delegate List
      • 2025 Delegates
      • 2024 Delegates
      • 2023 Delegates
      • 2022 Delegates
      • 2021 Delegates
      • 2020 Delegates
      • 2019 Delegates
      • 2018 Delegates
    • Become a Field Day Delegate
    • What Delegates Should Know
  • Events
    • All Events
      • Upcoming
      • Past
    • Field Day
    • Field Day Extra
    • Field Day Exclusive
    • Field Day Experience
    • Field Day Live
    • Field Day Showcase
  • Topics
    • Tech Field Day
    • Cloud Field Day
    • Mobility Field Day
    • Networking Field Day
    • Security Field Day
    • Storage Field Day
  • News
    • Coverage
    • Event News
    • Podcast
  • When autocomplete results are available use up and down arrows to review and enter to go to the desired page. Touch device users, explore by touch or with swipe gestures.
You are here: Home / Appearances / StormForge Presents at Cloud Field Day 13

StormForge Presents at Cloud Field Day 13



Cloud Field Day 13

Amy Medeiros, Erwin Daria, Patrick Tavares, Rich Bentley at Cloud Field Day 13

This Presentation date is February 18, 2022 at 8:00-9:00.

Presenters: Erwin Daria, Patrick Tavares, Rich Bentley


Solving the Kubernetes Efficiency Problem with StormForge


Watch on YouTube
Watch on Vimeo

As enterprises scale up their cloud native environments for day 2 operations, cloud waste and inefficiency often become a significant problem. The business impacts of inefficiency include cloud costs that are too high, risk of performance and availability issues that affect user experience, and pulling developers away from innovating to spend time on manual tuning of Kubernetes applications. In this session, we provide an overview of the StormForge platform for Kubernetes optimization, and how it improves efficiency by applying machine learning for both non-production experimentation and scenario analysis as well as production optimization leveraging observability data already being collected. Presented by Rich Bentley, VP of Product Marketing, StormForge.

Personnel: Rich Bentley

Using Machine Learning for Kubernetes Optimization: StormForge Product Demo


Watch on YouTube
Watch on Vimeo

The StormForge platform uses patent-pending machine learning to automate the process of achieving and maintaining efficiency of cloud native environments running on Kubernetes. As the only solution that combines experimentation-based, non-production optimization with observation-based optimization in production, StormForge helps DevOps teams to incorporate optimization as a systematic, continuous process that closes the loop between production and non- production and turns observability into actionability. In this session, we walk through the StormForge platform, showing you how easy it is to tackle the problems of cloud waste, inefficient resource utilization, performance and availability risk, and time-consuming manual application tuning. Presented by Patrick Tavares, Sr. Solutions Architect, StormForge.

Personnel: Patrick Tavares

Kubernetes Optimization at Acquia: An Example StormForge Use Case


Watch on YouTube
Watch on Vimeo

Acquia is the largest provider of hosting capabilities for Drupal, with more than 4,000 organizations using the company’s solutions for content, community and commerce. To continue meeting customer needs and optimize the performance, scalability and cost efficiency of its core hosting offering, Acquia decided to move to a Kubernetes container-based platform. This major re-platforming effort would affect 2500+ customers and tens of thousands of applications. With this move, Acquia needed the ability to right-size resource capacity to support customer applications, while also scaling as needed based on each application’s consumption requirements. With each customer environment being unique, manual application tuning wasn’t feasible due to the massive amount of time and effort that would be required. In this session, we show how Acquia was able to automate the process of achieving and maintaining Kubernetes resource efficiency at scale. With the ability to forecast demand, and then make resource decisions around application configuration based upon the forecast, Acquia can now effectively manage applications and meet their customers’ evolving requirements. Presented by Erwin Daria, Director of Technical Alliances, StormForge.

Personnel: Erwin Daria


  • Bluesky
  • LinkedIn
  • Mastodon
  • RSS
  • Twitter
  • YouTube

Event Calendar

  • May 28-May 29 — Security Field Day 13
  • Jun 4-Jun 5 — Cloud Field Day 23
  • Jun 10-Jun 11 — Tech Field Day Extra at Cisco Live US 2025
  • Jul 9-Jul 10 — Networking Field Day 38
  • Jul 16-Jul 17 — Edge Field Day 4
  • Sep 10-Sep 11 — AI Infrastructure Field Day 3
  • Oct 29-Oct 30 — AI Field Day 7

Latest Links

  • Exploring Cloud Resilience, AI, and Data at Cloud Field Day 23
  • Compliance Does Not Equal Security
  • Meraki Campus Gateway: Cloud-Managed Overlay for Complex Networks
  • Exploring the Future of Cybersecurity at Security Field Day 13
  • 5G Neutral Host: Solving Enterprise Cellular Coverage Gaps

Return to top of page

Copyright © 2025 · Genesis Framework · WordPress · Log in