The shift to hybrid cloud architectures is the new normal for digital transformation. This approach promises flexibility, scalability, and cost optimisation, but it also introduces significant operational complexity.
But what are the challenges you face – and how can Oracle’s AI-powered solutions help you thrive in a hybrid cloud world?
1. Managing heterogeneous workloads
Enterprises are increasingly running a diverse mix of applications, ranging from traditional databases to modern cloud-native and AI/ML workloads, across multiple environments. This heterogeneity complicates management, monitoring and security, especially when workloads span on-premises data centres, public clouds, and edge locations.
Consistency in operations, interoperability between platforms and unified support are often lacking, creating operational silos and increased risk.
2. Operational complexity and skills gaps
Hybrid cloud environments demand new skill sets and tools. IT teams must perform ongoing maintenance, monitoring and troubleshooting across disparate platforms, each with its own APIs, management consoles and security models.
Operational complexity can slow incident response, increase downtime and strain already limited IT resources.
3. Security and compliance
Expanding the IT footprint across multiple clouds and edge sites increases the attack surface and complicates compliance with data residency and regulatory requirements. Security and a lack of unified support are major inhibitors to broader hybrid cloud adoption.
So how do Oracle solutions overcome these challenges?
1. Enabling heterogeneous workloads with Oracle Linux
Oracle Linux supports a wide range of workloads across hybrid environments, including databases, virtual machines, containers and AI/ML applications. Oracle Linux is fully compatible with multiple platforms (including Oracle Cloud Infrastructure, AWS, and Azure).
With support for open standards like Kubernetes and Service Mesh Interface (SMI), Oracle Linux offers a strong foundation for hybrid cloud operations.
2. Integrated tooling for ongoing management
Oracle provides a suite of tools to simplify ongoing operations. The Linux kernel and key libraries can be patched using Ksplice for zero downtime, improving security and reducing maintenance windows. Performance and resource issues can be with real-time tracing using DTrace for troubleshooting.
You can automate provisioning, configuration and compliance tasks across environments with Oracle Linux Automation Management to bridge the skills gap and standardise operations.
3. AI-driven observability and Automation
As hybrid environments grow in scale and complexity, traditional monitoring tools are unable to cope. Oracle’s AI-powered solutions, such as Oracle Cloud Observability and Management Platform, use machine learning to:
- Correlate data across on-premises and cloud resources.
- Detect anomalies and predict incidents before they impact business operations.
- Automate root cause analysis and remediation, reducing mean time to resolution (MTTR).
This AI-driven approach, often referred to as AIOps, is essential for managing modern, distributed environments where manual intervention is no longer scalable.
4. Seamless Integration and Process Automation
Oracle’s low-code/no-code process automation tools allow organisations to quickly design, deploy, and manage workflows that span legacy and modern applications, on-premises or in the cloud. This accelerates digital transformation by connecting disparate systems, reducing manual effort, and ensuring consistent business processes across the hybrid estate.
5. AI Workloads and High-Performance Computing
Oracle Cloud Infrastructure (OCI) is optimised for AI and machine learning workloads, offering high-performance computing (HPC), GPU acceleration and integrated AI services. Your business can train and deploy AI models faster and more cost-effectively, with up to 44% better price performance for AI workloads compared to other providers.
Future-proofing with Oracle AI in the hybrid cloud
The inherent complexity of the hybrid cloud requires a new approach to operations, security, and innovation. Oracle’s AI-powered solutions address the most pressing challenges of hybrid cloud management.
By leveraging Oracle’s hybrid cloud and AI solutions, you can simplify operations, lower the total cost of ownership and unlock new opportunities for digital transformation—future-proofing IT investments in an increasingly dynamic landscape.