Cloud scalability: Scale-up vs. scale-out
IT Managers run into scalability challenges on a regular basis. It is difficult to predict growth rates of applications, storage capacity usage and bandwidth. When a workload reaches capacity limits, how is performance maintained while preserving efficiency to scale? The ability to use the cloud to scale quickly and handle unexpected rapid growth or seasonal shifts in demand has become a major benefit of public cloud services, but it can also become a liability if not managed properly. Buying access to…
- SEO Powered Content & PR Distribution. Get Amplified Today.
- PlatoAiStream. Web3 Data Intelligence. Knowledge Amplified. Access Here.
- Minting the Future w Adryenn Ashley. Access Here.
- Source: https://www.ibm.com/blog/how-to-optimize-google-cloud-platform-cloud-costs-with-ibm-turbonomic/
- :has
- :is
- :not
- a
- ability
- access
- also
- and
- applications
- Bandwidth
- basis
- become
- benefit
- but
- Buying
- CAN
- Capacity
- challenges
- Cloud
- Cloud Platform
- cloud services
- Costs
- Demand
- difficult
- efficiency
- Google Cloud
- Google Cloud Platform
- Growth
- handle
- How
- How To
- HTTPS
- IBM
- if
- in
- into
- IT
- liability
- limits
- major
- managed
- Managers
- of
- on
- Optimize
- or
- performance
- platform
- plato
- Plato Data Intelligence
- PlatoData
- properly
- public
- Public cloud
- quickly
- rapid
- Rates
- Reaches
- regular
- Run
- Scalability
- Scale
- scale-up
- Services
- Shifts
- storage
- The
- to
- Unexpected
- Usage
- use
- vs
- when
- while
- with
- zephyrnet