Hybrid & Multicloud Scaling Use Cases
Key Points
- Hybrid and multicloud strategies let businesses run containerized applications anywhere, providing flexibility beyond traditional cloud‑only or on‑premises setups.
- Cloud scaling lets companies handle seasonal demand spikes (e.g., a flower‑delivery service during holidays) by automatically provisioning and releasing resources, avoiding costly on‑premise over‑provisioning.
- A “composite cloud” approach distributes different application components across multiple environments, so the same service can keep sensitive parts on‑premises (e.g., EU rewards framework) while moving high‑traffic functions (e.g., billing and UI) to public clouds nearer to users.
- By partitioning workloads geographically, a hybrid/multicloud architecture enables global scaling—supporting regional peaks such as U.S. holidays—while maintaining independent scaling and performance for each region.
Sections
- Untitled Section
- Airline Reservation Modernization via Cloud - The speaker outlines how airlines are updating legacy on‑prem reservation systems with cloud‑based mobile back‑ends and recommendation features to enable new user experiences, particularly for handling flight delays.
- Endless Hybrid Cloud Opportunities - The speaker highlights the vast, untapped potential of hybrid and multicloud platforms and invites viewers to like, comment, and subscribe for future videos.
Full Transcript
# Hybrid & Multicloud Scaling Use Cases **Source:** [https://www.youtube.com/watch?v=9dzb6eNhqOE](https://www.youtube.com/watch?v=9dzb6eNhqOE) **Duration:** 00:06:43 ## Summary - Hybrid and multicloud strategies let businesses run containerized applications anywhere, providing flexibility beyond traditional cloud‑only or on‑premises setups. - Cloud scaling lets companies handle seasonal demand spikes (e.g., a flower‑delivery service during holidays) by automatically provisioning and releasing resources, avoiding costly on‑premise over‑provisioning. - A “composite cloud” approach distributes different application components across multiple environments, so the same service can keep sensitive parts on‑premises (e.g., EU rewards framework) while moving high‑traffic functions (e.g., billing and UI) to public clouds nearer to users. - By partitioning workloads geographically, a hybrid/multicloud architecture enables global scaling—supporting regional peaks such as U.S. holidays—while maintaining independent scaling and performance for each region. ## Sections - [00:00:00](https://www.youtube.com/watch?v=9dzb6eNhqOE&t=0s) **Untitled Section** - - [00:03:24](https://www.youtube.com/watch?v=9dzb6eNhqOE&t=204s) **Airline Reservation Modernization via Cloud** - The speaker outlines how airlines are updating legacy on‑prem reservation systems with cloud‑based mobile back‑ends and recommendation features to enable new user experiences, particularly for handling flight delays. - [00:06:34](https://www.youtube.com/watch?v=9dzb6eNhqOE&t=394s) **Endless Hybrid Cloud Opportunities** - The speaker highlights the vast, untapped potential of hybrid and multicloud platforms and invites viewers to like, comment, and subscribe for future videos. ## Full Transcript
Hi everyone, my name is Sai Vennam and I'm with the IBM Cloud team.
Now, I know in previous videos we talked about technical concepts that always relate back
to cloud-native computing in one way or another.
Now, over the years I've seen businesses harness those concepts to create innovative solutions
to real problems.
In this era of Hybrid and Multicloud businesses need a way to run containerized applications
in a way that they can run anywhere.
In this video I want to touch on a few of those use cases for why a business may want
to use Hybrid or Multicloud.
Let's start with the basic one, Cloud Scaling.
Now, most of us are probably familiar with this, it is one of the main reasons for adopting
the cloud.
Now, let's say we have a flower delivery service that is able to hit a certain bottom line
of users. They have on-premise infrastructure and it can hit a certain amount of user load.
So, visualizing this here throughout the calendar year you can imagine that their load maybe
goes up and down in response to specific holidays.
Now, to hit those peaks they could scale up their on-premise architecture but that's met
with upfront costs and cost of upkeep.
Now, instead we'll take advantage of cloud that allows them to scale up in response to
that load and then automatically key provision resources when they no longer need them.
Now, this concept is kind of general to cloud computing not just Hybrid or Multicloud, but
that brings me to my next topic and here we're going to be talking about how it can be used
to build a Composite Cloud.
So, essentially this is going to be applications that are spread across multiple cloud environments.
So, back to the flower delivery service let's say they have an on-premise architecture that
allows them to run three major components of the app.
So, let's say they have the web UI, they have some billing API's, as well as a rewards framework.
Now, let's say that this service is actually based in the EU.
And their European customers are happy but for their North American, or American customers,
specifically around Veterans Day or Thanksgiving their noticing that the system is bogging
down and so they decide to take advantage of a Hybrid Cloud or Multicloud architecture
by composing their application across multiple cloud environments.
So, they'll take advantage of data centers in America and essentially they've identified
that although their rewards framework can stay on-prem in their European side they want
to move the billing and the U. I. capabilities over. So, they'll move just those two to a
cloud platform of their choice in a North American, or American datacenter. This kind
of allows them to scale up portions in response to say American holidays while keeping their
EU portions individually scaled. So, in this example the flower delivery service is able
to take advantage of scaling at a global level by using the Hybrid or Multicloud architecture.
Next let's talk about the airline or travel industry.
So, we can first start with an example of Modernization.
Now, in the past we've seen that reservation systems may have been difficult to work with
or you might have had to call in, but almost all the airline companies now have a mobile
application. So, most of the time of actually found that it's about in general not just
in the travel industry but eighty percent of all enterprise applications are actually
still on-prem. This likely the case in this industry as well.
So, in this specific example, let's say they have a reservation system that's running on-premises,
but to create new experiences for their end users, let's say they've created a mobile
application. That mobile app of course has a mobile backend that's maybe running in a
public cloud and that in turn works with the reservation service. So again, the mobile
app can hit the mobile backend that in turn works with the reservation capabilities.
So, in this case they modernized and new user experiences are possible, but let's take that
a step further. Now, a source for a lot of dissatisfaction for users is whenever their
flights are delayed. So, when a flight is delayed, they may have to re-book new flights.
The solution is almost always the same, the traveler wants to get to his destination in
the easiest way possible.
So, what airline industries have been doing is taking advantage of the cloud to create
maybe a recommendation feature.
So, it allows them to book new flights as soon as the delay is recommended or as soon
as the delay has ocurred and that's going to connect up to the mobile back in service
allowing users to be able to book flights through their phone the second the flight
is delayed. This not only improves the bottom line for the airline industry but leads to
happier users. So, that's one way that modernization has been done.
Next, let's take it even a step further and talk about Data and AI.
For Data and AI, the airline industry has been taking advantage of lots of historical
data. So, over the decades that a company has been around, let's say they have historical
data of when unplanned maintenance has happened on their airline.
In fact, thirty percent of all delay time in that in the airline industry is actually
when unplanned maintenance happens.
So, by taking advantage of let's say machine learning or AI capabilities, they could hook
into all of the legacy data that they have, large volumes and connect them up to machine
learning and AI capabilities.
This allows airline industries to take advantage of predictive analytics and get insights before
errors, or before that unplanned maintenance ever occurs. This again improves their bottom
line, leading to happier users and a more efficient airline industry.
Now, today we talked about four major use cases for Hybrid and Multicloud platforms.
So, Cloud Scaling and Composite Cloud in the flower delivery service, as well as Modernize
and Data and AI for the airline industry.
Now, we really have only started to scratch the surface of the number of use cases for
why you want to use a Hybrid or Multicloud platform.
Now, if you like this video or have any questions be sure to drop a like or a comment below.
Be sure to subscribe and stay tuned for more videos like this in the future.