Cloud bursting

What is cloud bursting?

Organizational needs for cloud bursting: 

• Software development: 

- Variable workloads: During software development, organizations often experience fluctuating demands for computing resources. Cloud bursting allows them to scale up resources when intensive tasks such as code compilation, testing, or deployment require additional capacity. 

- Resource optimization: Developers can benefit from on-demand access to additional computing power from the public cloud, ensuring efficient resource utilization without needing a permanently expanded on-premises infrastructure. 

• Marketing campaigns: 

- Bursts of traffic: Marketing campaigns, especially those involving online promotions or product launches, can lead to sudden spikes in website traffic. Cloud bursting enables organizations to expand their server capacity seamlessly to handle increased web traffic during these campaign peaks. 

- Cost-Efficient Scaling: Rather than maintaining excess capacity year-round, organizations can leverage the public cloud for burst scaling during specific marketing initiatives, optimizing costs while ensuring a responsive online presence. 

• Extensive data modeling and queries: 

- Compute-intensive tasks: Big data analytics often involves computationally intensive tasks like complex modeling and queries, machine learning, or simulations, video rendering or transcoding. Cloud bursting allows organizations to access additional computing resources on demand, ensuring the timely processing of large datasets without overwhelming local infrastructure. 

- Scalable processing power: Public cloud resources provide scalable processing power for big data workloads, allowing organizations to handle peak demands and derive insights from large datasets efficiently. 

• Seasonal businesses: 

- Fluctuating demand: Seasonal businesses, like retail during holidays or outdoor activities during specific weather conditions, experience fluctuating demand for IT resources. Cloud bursting is instrumental in dynamically scaling infrastructure to accommodate increased demand during peak seasons. 

- Cost savings: Rather than investing in and maintaining infrastructure for the highest seasonal demand, organizations can use cloud bursting to scale resources as needed, optimizing costs while ensuring a seamless customer experience.

Cloud bursting significantly enhances the efficiency, flexibility, and performance of IT infrastructure. Here are the key benefits: 

• Cost: Cloud bursting offers cost savings by allowing enterprises to scale resources as needed. Additional public cloud resources can be automatically integrated during peak demand, preventing the need for permanent overprovisioning. This approach enables businesses to pay only for the resources they consume, optimizing overall expenditure. 
• Control: Organizations gain greater control over their IT infrastructure with cloud bursting. Administrators can automate scaling by dynamically setting policies and thresholds to allocate resources according to demand criteria. This automation improves operational management and reduces the need for manual intervention. 
• Flexibility: Cloud bursting enhances flexibility by enabling workloads to transition seamlessly between on-premises and public cloud infrastructure. This capability allows organizations to optimize resource utilization and handle varying workloads without compromising performance. 
• Continuity: To ensure business continuity, cloud bursting maintains the availability and responsiveness of applications and services during demand surges. Dynamic resource scaling ensures that, despite unforeseen spikes in demand, service continuity and performance are consistently maintained. 
• Efficiency: Cloud bursting offers resource usage efficiency as a primary benefit. Organizations can maximize performance without retaining surplus capacity during periods of regular demand by utilizing public cloud resources as needed. This leads to a more efficient and cost-effective IT infrastructure. 

By leveraging these benefits, organizations can ensure their IT infrastructure is robust, adaptable, and capable of meeting dynamic business needs. 

In an enterprise hybrid cloud, optimal workloads for cloud bursting strictly involve stateless applications and decoupled compute tasks. Because these workloads carry no local session state, they shift seamlessly between on-premises and public cloud environments without disrupting the user experience or data continuity. They also demand far less engineering effort to burst-enable, since state is already externalized and components are loosely coupled—unlike stateful, tightly-coupled applications that require substantial re-architecture (state externalization, storage synchronization, stable identity management) before they can safely burst.

Industry-Specific Taxonomy

• Retail: E-commerce transaction processing dynamically scales to accommodate localized seasonal peaks, such as Cyber Monday traffic spikes.

• Financial Services: Accelerates intensive quantitative tasks, including end-of-month risk modeling, Monte Carlo simulations, and algorithmic trading backtesting.

• Media & Entertainment: Offloads heavy 3D VFX rendering and video transcoding jobs, strictly serving compute-heavy, non-latency-sensitive operational requirements.

• AI/Big Data: Executes complex Machine Learning (ML) inference models utilizing transient public cloud GPUs—or scalable—GreenLake Flex Solutions address enterprise cloud bursting challenges with consumption-based, on-premises infrastructure. This model eliminates public cloud egress fees, latency, and compliance risks while enabling seamless hybrid cloud scalability.

GreenLake Flex Solutions address enterprise cloud bursting challenges with consumption-based, on-premises infrastructure. This model eliminates public cloud egress fees, latency, and compliance risks while enabling seamless hybrid cloud scalability.

Hypervisor and infrastructure compatibility challenges are typically addressed through a container orchestration layer—most commonly Kubernetes—paired with a unified data fabric that abstracts storage and data access across edge, on-premises, and public cloud environments. This combination decouples applications from the underlying infrastructure, allowing the same containerized workload to run consistently regardless of which hypervisor or cloud platform hosts the burst capacity, making workload portability frictionless.

Furthermore, HPE OpsRamp Software optimizes this ecosystem using AIOps-driven hybrid observability. HPE OpsRamp accurately predicts application traffic spikes and automates the capacity threshold triggers required to execute faultless hybrid cloud bursting.