Cloud bursting provides the agility to rapidly adjust and adapt to changing cloud capacity needs. If teams are hit with an unexpected surge in traffic to a private cloud they can seamlessly expand to the public cloud. Accessing a public cloud offers organizations access to almost limitless resources, including large public cloud providers like Amazon Web Services (AWS) and Microsoft Azure. Plus, cloud bursting can free up local cloud resources that can be used for other purposes.
Cloud bursting can help ensure important applications and services do not have a disruption in service. Since cloud bursting occurs behind the scenes, users most likely will not see any disruption, if there is minimal latency.
Lower operating costs
Since organizations only pay for additional resources when needed, they can reduce their private cloud infrastructure costs by maintaining a minimal set of resources needed for critical and confidential applications.
Cloud bursts are triggered by spikes in computational resource demand. These bursts could be an influx of user traffic or expensive one-off computational tasks. Some common cloud bursting situations include:
Software development and analytics are two of the most common use cases for cloud bursting. DevOps teams often use multiple virtual machines for testing purposes, which are only needed for a short amount of time. Plus, CI/CD tasks are good candidates for bursting into the public cloud, since CI/CD requires several one-off tasks that run for a short amount of time when developers push new commits.
Marketing campaigns for new product launches can generate a huge influx of traffic that requires extended cloud resources. Imagine the marketing push for an anticipated Hollywood movie or video game release. These events generate a temporary stampede of traffic that subsides after the launch news passes, so it is a great time to utilize cloud bursting.
Big data modeling and queries
Big data companies frequently need to execute one-time queries or generate models that will exceed the capacity of their private cloud. These tasks are well suited to cloud bursting. The company can burst into the public cloud for additional resources to expedite the task. Some granular examples of big data tasks include:
- High-fidelity 3D rendering
- AI and ML model training
- Autonomous vehicle simulation
Seasonal businesses need additional computational resources during known peak times. For example:
- Holiday rush shopping for an eCommerce or shipping site
- End-of-business-quarter financial processing
- Political election seasons (campaign fundraising and website traffic for education on a candidate's proposals)
When businesses need agility to react quickly to changing business demands that strain cloud computing resources, they can burst into the hybrid cloud. They expand cloud capacity for a short (or long) time, without needing to expand private cloud resources indefinitely.
Get started on your cloud bursting journey with Bitbucket Cloud.