Cassius Rhue, Vice President, Customer Experience, SIOS Technology, offers his tech predictions for the coming year.
Real-Time Failover for AI-Powered Security Analytics
“As AI-driven security analytics tools become standard for detecting and responding to threats, organizations will prioritize high availability to ensure these applications operate without downtime. Failover clustering will play a crucial role in maintaining continuous, real-time threat detection and response, preventing gaps in security coverage that could leave the enterprise vulnerable. By leveraging failover clustering, enterprises will mitigate risks and enable uninterrupted operation of their critical security monitoring and analytics tools.”
Greater Adoption of Hybrid Cloud Failover Clustering
“Enterprises will increasingly implement hybrid cloud architectures, combining on-premises data centers with public cloud platforms for failover clustering. This setup will ensure high availability and disaster recovery while offering flexibility and cost-effectiveness. Organizations will prioritize failover solutions that seamlessly bridge on-prem and cloud environments, allowing IT teams to leverage the cloud’s resilience without abandoning existing infrastructure.”
Focus on Simplified, IT Generalist-Friendly Solutions
“Many enterprises will invest in failover clustering solutions that are easier to manage, targeting the growing need for solutions that can be operated by IT generalists, not just clustering experts. With automation, simplified interfaces, and streamlined deployment, these clustering solutions will allow organizations to maintain high availability without the complexity typically associated with failover clustering – appealing particularly to small and medium-sized businesses looking to achieve enterprise-grade resilience.”
Hyperconverged Infrastructure Takes Center Stage in Enterprise IT
“Enterprises will increasingly migrate critical applications to hyperconverged infrastructures (HCI) to simplify management, cut costs, and enable dynamic scaling. HCI consolidates storage, compute, and networking, reducing the complexity of traditional systems. As IT leaders prioritize agility and resilience, HCI’s automation and reliability will present a strong alternative to traditional setups. This trend also aligns with growing demands for hybrid and multi-cloud flexibility, as HCI integrates seamlessly with public cloud providers.”
Increased Reliance on Cross-Region, Multi-Cloud Failover Clustering
“To achieve stronger resilience against regional outages, enterprises will adopt cross-region and multi-cloud failover clustering strategies. These setups will allow critical applications to failover seamlessly across different cloud regions or cloud providers, ensuring continuity even in cases of large-scale disruptions. This trend will drive demand for clustering solutions capable of handling complex, geographically distributed infrastructures and automating failover processes across subnets and cloud regions with minimal manual intervention.
High Availability for Zero Trust Security Architectures
“With enterprises continuing to adopt Zero Trust architectures, there will be a growing emphasis on ensuring that security applications supporting Zero Trust (e.g., identity and access management, endpoint protection, and authentication systems) remain highly available. Failover clustering will become essential for these applications to operate without interruption, allowing enterprises to enforce continuous security measures and authentication processes even during maintenance or unexpected system issues.
Always-On Monitoring: The Future of Automated High Availability Clustering for APM
“High availability (HA) clustering with Application Performance Monitoring (APM) tools will become more streamlined and automated, making it easier to maintain continuous monitoring without disruptions. HA clustering solutions will feature improved integration with APM platforms, offering seamless failover, predictive analytics for proactive issue resolution, and reduced setup complexity. Users can expect more self-healing capabilities, where clusters can detect and address performance issues automatically, minimizing manual intervention and ensuring that critical monitoring remains active around the clock.”
