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Top 7 Best Practices For Hybrid Cloud Automation in 2024

Updated on Aug 12
6 min read
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Cem Dilmegani
Cem Dilmegani
Headshot of Cem Dilmegani
Cem Dilmegani
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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Researched by
Altay Ataman
Altay Ataman
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Altay Ataman
Altay is an industry analyst at AIMultiple. He has background in international political economy, multilateral organizations, development cooperation, global politics, and data analysis.

He has experience working at private and government institutions. Altay discovered his interest for emerging tech after seeing its wide use of area in several sectors and acknowledging its importance for the future.

He received his bachelor's degree in Political Science and Public Administration from Bilkent University and he received his master's degree in International Politics from KU Leuven.

Altay is part of the AIMultiple benchmark team, specializing in dynamic application security testing (DAST) and workload automation. He works closely with fellow AIMultiple industry analysts and the tech team to conduct thorough and precise assessments, ensuring a comprehensive understanding of various technologies and their applications.
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We adhere to clear ethical standards and follow an objective methodology. The brands with links to their websites fund our research.

End-user spending on the shift to the public cloud was estimated to be $1.3 trillion in 2022, and it is expected to grow to $1.5 trillion by 20251 Despite the recent trend to shift to a public cloud, it may not be the best choice for all businesses. For example, companies operating on legacy applications or those dealing with sensitive data daily may not prefer the public cloud. 

On the other hand, the limitations of on-premise systems do not allow companies to stay competitive and scale up when needed. This is where hybrid cloud automation comes into the picture. This article will delve into the best practices for hybrid cloud automation.

What is hybrid cloud & automation?

Hybrid cloud is a practice that combines on-premise infrastructure with private and public cloud services for an efficient IT structure. Hybrid cloud automation refers to the orchestration or streamlining of workflows across these different environments. For example, hybrid cloud automation enhances the accessibility of data across the enterprise. Data saved in data centers can be shared with the software operating on the cloud, decreasing the manual labor and the time spent on data transfer. 

Why do companies choose hybrid cloud? 

  • Sensitive information: Hybrid cloud approach allows businesses to protect their sensitive data in on-premise storage or private cloud while using the public cloud for workloads requiring less security.
  • Legacy tools: These are a significant part of operations for many businesses. Hybrid cloud enables companies to keep using their legacy tools while benefiting from the speed and flexibility of cloud technology. This also reduces the costs of replacing the legacy system and helps companies stay competitive in the face of change.
  • Expanding capacity: Hybrid cloud approach enables enterprises to enhance the capacity of their on-premise systems by adding a public cloud without making further investments in their infrastructure.
  • Reduced Costs: Companies can avoid significant initial investments in expanding on-premise servers. It is cost-efficient as cloud services charge per user or have a pay-as-you-go system. 

What are the leading hybrid cloud automation tools?

Hybrid cloud automation tools need to be capable of:

  • Automating resource provisioning in different clouds and on-premise
  • Providing low-code UIs for broad accessibility. This is not a must but can help increase adoption.
  • Scalability for enterprise-grade workloads

Check out leading job schedulers that provide this functionality.

Stonebranch provides a comprehensive workload automation tool that allows organizations to coordinate, oversee, and streamline IT tasks from a unified platform. It delivers oversight of workflows regardless of the data location, covering various platforms and business software. Users can design workflows using its drag-and-drop interface and can manage their organization’s workload.

Stonebranch facilitates integration with platforms or applications using its pre-existing integrations. Moreover, users have the option to craft their own or make use of community-contributed integration templates from the Stonebranch Integration Hub. The tool also features visual dashboards and detailed reports, ensuring timely insights and SLA tracking.

Best practices in hybrid cloud automation

1. Ensure visibility into data management 

Many of the automation tools on the market provide visibility into data management as data solutions or visibility as part of their software. However, these tools are designed to work in a single environment: on-premise or in the cloud. Using different automation tools for each system and manually combining the data would be too costly and lead to delays in business intelligence.

Businesses must use cloud management platforms or workload automation software to provide their IT department and developers with enhanced visibility from a centralized control point. End-to-end automation would not only solve the problem of visibility but also would have higher ROI as the management can eliminate some of the other tools used in each environment for such purposes. 

Explore data management automation in more detail.

2. Enhance the capacity of on-premise legacy applications 

Cloudbursting techniques can help businesses enhance the capacity of their on-premise legacy application with the help of cloud technology. Cloudbursting is a cloud computing strategy that involves running applications in a private cloud or data center and “bursting” into a public cloud when the demand for computing capacity spikes. The advantage of such a hybrid cloud approach is that an organization only pays for extra computing resources when they are needed.

Businesses use cloudbursting deployment techniques to control a sudden increase in IT demand to prevent service interruptions. When an application hosted on-premises exceeds the local resources, configuration, or infrastructure as code (IaC) tools automatically trigger cloudbursting and expands to the public cloud.

For example, let us consider a web application for taxi ordering that operates on a private cloud. On busy days like holidays, web traffic increases significantly when people order taxis more often. The sudden increase in web traffic can cause disruptions or slow-downs in the service. However, as the web traffic of the application is not always so high, the return on investment for expanding capacity is very low. This is where companies can benefit from cloud bursting. The extra traffic can “burst out” to the public cloud, eliminating disruptions.

3. Simplify Complex IT infrastructure management and lengthy deployment cycle 

Hybrid cloud management requires managers to be experts in numerous fields because of its complex multi-environment characteristic. Alongside on-premise computing, they must have expertise in private and public clouds that operate different tools and solutions. 

Use end-to-end orchestration to allow developers to coordinate complicated software stacks across the enterprise. Orchestration provides centralized management over on-premise, private, and public cloud computing and facilitates integrations reducing product-release cycles.

An example of end-to-end orchestration technology could be workload automation solutions. Workload automation is the process of centralizing and automating the scheduling, initiation, and monitoring of business processes and transactions across physical, virtual, and cloud systems using the software. 

4. Align your operations with regulatory compliances

Regulatory compliances complicate the data storage process in the hybrid cloud as the regulations governing data storage differ based on the data type. Automation tools such as workload automation toolsRPA ensure the correct allocation of data storage to on-premise or cloud servers based on different regulations such as GLBA, HIPAA, COPPA, and so on. 

Another reason for the complication of regulatory issues is the difficulty of tracking the changes in different environments. Automation tools like workload automation enable tracing the changes made across the enterprise and ensure that every change made by the employees is according to the regulatory compliances. 

5.Define and implement an automation strategy

Hybrid cloud environments can be highly complex, spanning multiple services, platforms, and providers. Before automating processes, you should define a clear automation strategy that aligns with your business objectives, architectural principles, and desired outcomes. Your strategy should include understanding what to automate, when to automate, and how to measure the effectiveness of automation. Without a comprehensive strategy, you risk implementing automation in a piecemeal or haphazard way that could create more problems than it solves.

6.Focus on configuration management

As hybrid cloud infrastructures continue to grow in complexity, so does the importance of maintaining a consistent configuration across your environments. Automation tools can be used to define your configurations as code, which can then be versioned, tested, and applied consistently across your environments. This reduces the risk of configuration drift and human error, improves your deployments’ repeatability, and helps ensure that your applications and services are always running in a known and expected state.

7. Maintain an iterative approach

Implementing automation is not a one-time effort but a continuous process of improvement. Start with automating simple, repetitive tasks and gradually move to more complex operations as your team becomes more comfortable with the tools and processes. Regularly review and update your automation strategy to ensure it aligns with your business objectives and technological landscape

Hybrid Cloud Automation FAQ

What is hybrid cloud automation, and why is it important?

Hybrid cloud automation involves the orchestration and streamlining of workflows across different environments, including on-premise, private, and public cloud services. It is important because it enables organizations to efficiently manage their IT infrastructure, optimize resource usage, and ensure seamless data accessibility across various platforms, all while maintaining control over sensitive data.

How does hybrid cloud automation improve data management?

By integrating cloud management platforms or workload automation software, hybrid cloud automation provides enhanced visibility and control over data management. This centralized approach eliminates the need for multiple tools and manual processes, leading to faster and more accurate business intelligence and reducing operational cos

What are some key considerations when implementing a hybrid cloud automation strategy?

Key considerations include aligning automation strategies with business objectives, ensuring regulatory compliance, managing complex IT infrastructure, and maintaining an iterative approach to continually improve automation processes. Additionally, focusing on configuration management can help maintain consistency and reliability across all environments.

Can hybrid cloud automation help with legacy systems?

Yes, hybrid cloud automation allows organizations to continue using legacy systems while leveraging cloud technologies for scalability and flexibility. Techniques like cloudbursting enable businesses to meet sudden demands without overhauling their entire IT infrastructure, ensuring that legacy tools remain effective and cost-efficient.

What tools are essential for effective hybrid cloud automation?

Essential tools for hybrid cloud automation include workload automation software, configuration management tools, and orchestration platforms. These tools should support automated resource provisioning, scalability, and integration across multiple environments, all while providing an intuitive interface for broad accessibility.

How does hybrid cloud automation align with regulatory compliance?

Automation tools in a hybrid cloud environment can ensure that data storage and processing meet regulatory requirements by automatically assigning data to appropriate on-premise or cloud locations based on compliance rules. They also help trace changes across environments to ensure ongoing adherence to regulations.

For more on Workload Orchestration:

For guidance on choosing the right solution, get in touch with us:

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Headshot of Cem Dilmegani
Cem Dilmegani
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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