Core Infrastructure
CoreOps — Server Optimization & Efficiency
CoreOps
Organizations running data center infrastructure face optimization challenges at the server level: **Hardware Capabilities Underutilized**: Modern servers contain sophisticated power management, NUMA architectures, network offloading, and storage acceleration features—but these remain disabled or misconfigured in default setups. IT teams lack the tools and expertise to profile workloads and tune hardware accordingly. You're achieving 50-70% of theoretical performance from expensive infrastructure. **Generic Configurations for Diverse Workloads**: Running database servers, web application hosts, batch processing nodes, and storage systems with identical BIOS and OS configurations wastes resources. Each workload type has unique performance characteristics—memory-intensive vs. CPU-bound, latency-sensitive vs. throughput-optimized—that benefit from targeted tuning. One-size-fits-all configurations leave performance on the table. **Performance vs. Efficiency Tradeoff**: Organizations choose between running servers at maximum clock speeds (performance-focused, energy-intensive) or aggressive power saving modes (efficiency-focused, performance-limited). Without workload-specific tuning, there's no middle ground. You're either paying for performance you don't need or accepting latency that impacts user experience.
Who This Is For
**Infrastructure Architects** managing hundreds to thousands of servers where incremental efficiency gains translate to significant cost savings. **Data Center Operations Leaders** facing pressure to reduce power consumption and extend capacity without major capital expenditure. **FinOps Teams** optimizing infrastructure spend who've addressed cloud costs but need to improve on-premises efficiency. This is for organizations running substantial on-premises or colocation infrastructure (500+ servers) where data center power, cooling, and space constraints are real. If you're overprovisioning hardware to compensate for configuration inefficiencies, facing power density limits, or extending server refresh cycles due to budget constraints, systematic optimization becomes essential.
What You Get
CoreOps provides end-to-end server optimization delivering both performance improvement and cost reduction. You get detailed workload profiling, hardware-specific tuning recommendations, validated configuration changes, and measurement showing actual TCO impact. Your infrastructure runs faster while consuming less power, capacity planning becomes more accurate, and hardware refresh cycles extend as existing servers deliver more value through optimization.
How We Work
Key Deliverables
1
Workload Profiling & Characterization
Deep analysis of what your applications actually do:
2
CPU Frequency Scaling & Power Management
Intelligent processor tuning:
3
Memory Configuration & NUMA Tuning
Optimizing memory subsystem performance:
4
Network Interface Optimization
Maximizing network throughput and minimizing latency:
5
Storage Subsystem Tuning
Optimizing disk and SSD performance:
6
Firmware & BIOS Configuration
Optimizing platform-level settings:
7
Thermal Management & Cooling Efficiency
Balancing performance and thermal constraints:
8
Performance Benchmarking & Validation
Rigorous testing before and after optimization:
9
TCO Analysis & ROI Projections
Financial impact of optimization:
10
Knowledge Transfer & Training
Ensuring your team can maintain and extend optimizations: