[IT Daily] In 2026, the South Korean industry is facing an unprecedented crisis of ‘Infrastructure Inflation’ alongside the massive turning point of AI technology popularization. While companies are rushing to expand hardware for a competitive edge, this paradoxically causes financial risks such as skyrocketing costs and decreased resource efficiency. Amidst these complex crises, Openmade Consulting, a specialist in database (DB) performance optimization, presents a new paradigm that achieves both system stability and cost reduction.

AI Infrastructure Inflation and the Complex Crisis of the DB Environment

Today’s corporate IT environment is exposed to serious threats in the following three dimensions.

1. Multi-platform Proliferation and Management Complexity 

Human Resource Management Limits due to Increasing Business Complexity

• Environment Exceeding Expert Capabilities: With the spread of multi-database environments such as cloud and open-source DBs, the management targets and data volume have increased exponentially. This means that the physical limits of what an individual skilled DBA or tuning expert can handle manually have been exceeded.

• Threat of Blind Spots: According to survey results, companies only selectively manage the top 1–5% of ‘malicious queries’ among all SQLs due to manpower limitations. The remaining 90–95% or more of SQLs are left in management blind spots, posing a risk of turning into ‘performance bombs’ that stop the system the moment data reaches a critical threshold.

• Vicious Cycle of Reactive Measures: Due to increased management complexity, ‘preemptive response’—predicting failures in advance—has become virtually impossible.  Consequently, companies end up rushing into ‘reactive measures’ to find causes after a failure occurs, a risk directly linked to declining trust in financial services.

  
  

2. The Trap of Cloud Migration Costs

Financial Risks Caused by Migration Without Optimization

• Monetization of Inefficiency: The cloud environment is structured to charge fees based on resource usage. Migrating ‘inefficient SQL’ without performance optimization leads directly to a surge in operating costs due to wasted resources.

• Uncontrollable Cloud Costs: While performance degradation was merely a ‘slowness’ issue on-premise, it translates directly into a ‘financial risk’ for companies in the cloud. Approaches to solving performance issues through infrastructure expansion only lead to an infinite multiplication of costs.

• Necessity of ‘Tune First, Expand Later’: Before expanding infrastructure or upgrading cloud specifications, resource waste must be eliminated first through SQL auto-tuning.  A financial defense strategy that controls operating costs in real-time and strategically delays infrastructure expansion is essential for CIOs.

3. Worsening Hardware Supply Imbalance 

AI Infrastructure Inflation and the Limits of Server Expansion

• Global Supply Chain Crisis: Due to global competition for AI server expansion, shortages of core components like GPUs and HBMs persist. With infrastructure expansion costs growing exponentially—such as hardware procurement costs rising by over 40% year-on-year—it has become a massive barrier pressuring corporate innovation budgets.

• Prolonged Delivery Delays: Even when paying the costs, the hardware supply itself is not smooth, so the method of solving performance through server expansion has hit a physical time limit.

• Software-based Breakthrough: At a time when hardware is unavailable or too expensive, the wisest alternative is to maximize the efficiency of existing assets. Overcoming system limits and securing available resources through SQL optimization alone, without additional server expansion, is the only breakthrough for corporate survival.

Limits of Manpower-based Tuning Eroding Productivity

A more detailed analysis of the professional manpower situation to break through the crisis reveals that traditional human-centric tuning systems have the following fatal flaws.

• 75% of DBA Tasks Buried: Most of the DBA’s working hours are buried in simple maintenance and repetitive troubleshooting, leaving no room to focus on strategic design or innovation tasks.

• Decreased Developer Productivity: Developers also waste over 33% of their working time on inefficient SQL modifications, which is a major cause of project delivery delays and quality degradation.

• 95% Management Blind Spot: The amount of tuning one expert can handle manually is around 50–100 cases per month. Consequently, companies maintain a dangerous management system where they only manage the top 5% of malicious queries and leave the remaining 95% as ‘performance time bombs.’

Innovative Solution: ‘Optimization Before Expansion’ via Query Medic

Openmade Consulting presents the principle of “Tune First, Expand Later” as a solution to this crisis. By first catching resources wasted due to inefficient SQL with AI auto-tuning, the timing for infrastructure expansion can be strategically delayed, and cloud operating expenses (OPEX) can be controlled in real-time.

‘Query Medic,’ equipped with the only AI LLM-based engine domestically and internationally, provides more than 50 times the productivity of an expert. Through a 3-step process of 24/365 automatic extraction, intelligent optimization code generation, and comprehensive verification of data consistency, it has opened an era of comprehensive management beyond human limits.

‘Tuning 50+ SQLs per Day,’ Launching AI-powered ‘Query Medic’ Short-term Tuning Service

Openmade Consulting has introduced the ‘Query Medic 2-Week Intensive Optimization Program’ for companies burdened by the high cost of permanent solution introduction, allowing them to improve performance intensively only when needed. 

Moving away from traditional perpetual licensing, this program—which activates a license for 2 weeks to intensively improve SQL performance—provides values of ▲Cost Innovation ▲Elimination of Blind Spots ▲Short-term Intensive Impact. Specifically, Query Medic guarantees the following powerful features based on a proven architecture.

• Automatic Verification of Tuned SQL Result Values: AI 100% automatically verifies the data consistency before and after tuning.

• Index Impact Analysis: It prevents secondary failures by pre-analyzing the impact that changed indexes have on other services.

• Enhanced Security (4-Free): It is safely executed without concerns about data leakage through Air-Gapped support and Agent-less (Zero-Impact) methods.

• High Success Rate: It records a high tuning success rate of over 80% through the AI LLM engine and automatically optimizes even DML (Insert/Update/Delete) queries.

Simultaneous Achievement of System Stability and Business Value   

The Query Medic 2-week program drastically lowers performance risks that threaten business continuity through short-term intensive optimization alone. By quickly processing tasks with AI that would require several experts to work for months, it helps a company’s core talents focus on more value-centered strategic work.

Openmade Consulting stated, “In an era where semiconductor prices and cloud costs are skyrocketing, AI-based auto-tuning is the most economic strategy for infrastructure advancement.”  “Through this 2-week intensive program, I expect more companies to regain the ‘Golden Age’ of DB performance at a reasonable cost and experience top-tier productivity.”

Sales inquiries for product implementation and consulting

+82-2-6310-6167 / qm@openmade.co.kr

Source : IT Daily (http://www.itdaily.kr/news/articleView.html?idxno=238411)

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