Deliver Fault-Tolerant Workloads at the Core
Organizations can rapidly modernize IT infrastructure to maximize uptime, boost reliability, simplify manageability, and increase efficiency with minimal risk using fault tolerant computing at their core enterprise data center.
Core Computing
Uptime Considerations
For organizations running vital applications requiring continuous availability of data and services, failure recovery alone is not good enough. They require the modern infrastructure to easily and affordably deliver highly-available and fault-tolerant workloads to enable failure prevention.
Predictive fault tolerant computing platforms enable organizations to run mission-critical applications in data center environments without downtime or data loss to successfully meet the demand of “always on” operations.
Both OT (Operational Technology) and IT (Informational Technology) teams face the challenge of delivering this reliability to both centralized and distributed locations across their operations. Platforms running critical applications must be easy to deploy, easy to manage, and easy to service—and not just in data centers, but at the edge of corporate networks.
There are several time-tested methods companies use to improve availability in their data centers, ranging from improving system reliability and resilience, implementing backup and recovery procedures, or deploying redundant clusters (physical or virtual) with failover services.
Fault-tolerant systems deliver the required availability, because they can “tolerate” or withstand both hardware and software “faults” or failures.
Enterprise Data Center
Fault Tolerance Expertise
Fault-tolerance describes a superior level of availability characterized by five nines uptime (99.999%) or better. Fault-tolerant systems typically do this by either proactively monitoring and preventing critical systems from failing in the first place, or by completely mitigating the risk of a catastrophic component or system failure. Fault-tolerance can be achieved successfully using both software-based and hardware-based approaches.
In a software-based approach, all data committed to disk is mirrored across redundant systems. More sophisticated software-based approaches also replicate uncommitted data, or data in memory, to a redundant system. In the event of a primary system failure, a secondary backup system resumes operation, taking over from the exact moment the primary system fails, so that no transactions or data are either duplicated or lost.
In a hardware-based approach, redundant systems run simultaneously. Parallel servers perform identical tasks, so that if one server fails, the other server continues to process transactions or deliver services. This approach relies on the statistical probability of both systems simultaneously failing being extremely low. Only one server is actually needed to deliver applications, but having two servers helps ensure that at least one will always be running.
Both approaches have their challenges providing continuous availability and ensuring data integrity, but you can move from five nines—averaging less than 6 minutes downtime per year—to delivering a staggering seven nines (99.99999%) uptime equating to 3.16 seconds of downtime for the year with the best technology.
Intelligent, predictive fault tolerance
Proactively monitor potential failure points and automatically take corrective actions before they impact operations, preventing downtime and data loss.
Proactive health monitoring
Continuously monitor system health, allowing for early detection of potential issues, enabling timely maintenance, and reducing the risk of unexpected failures.
Enhanced data connectivity
Provide reliable connectivity to critical production data stored in storage area networks (SANs). This feature ensures that data remains accessible and protected, further enhancing fault tolerance.
Redundant hardware design
If one component fails, another can seamlessly take over, maintaining uninterrupted operations.
25+
Years Experience
85,000+
GPUs Deployed & Managed
2+ Billion
Hours of GPU Runtime
Talk to the Experts at Penguin Solutions
Reach out today and learn more how we can help with your uptime performance in your data center at the core of your network, easily deploying into existing architectures without the need for IT resources.