[IT Daily] When a sudden failure alarm rings in a peaceful service environment, the IT department enters emergency mode. They check infrastructure specifications and expand servers, but finding a fundamental solution is rarely easy.

"Why did the system, which was fine until yesterday, suddenly stop?" Today’s reality of DB performance management is that IT teams often struggle to provide a clear answer to this management question. However, the answer to this mystery is hidden in a surprisingly simple place: the SQL (Structured Query Language) we believed to be 'safe.'

A recent survey of IT professionals vividly illustrates the current state of DB management.

Warning from the Field: 82% Experience DB Failures, the Main Culprit: 'Inefficient SQL'

According to the survey, 81.8% of IT professionals have directly experienced system performance degradation or failures related to DB within the past year. Even more notable is that 72.7% of respondents cited "inefficient SQL" as the decisive cause of those failures.

SQL queries that seem fine under low data volumes turn into "performance bombs" at specific moments when data hits a threshold or traffic spikes. In other words, a "system that was fine until yesterday" was never truly safe; it was simply harboring the seeds of failure.

The Limits of Human-Dependent Tuning: A Dangerous System Managing Only the 'Top 5%'

Why can’t companies identify these risky SQLs in advance? The answer lies in the limitations of manpower and time. Currently, most companies rely entirely on the "experience" of expert tuners or seasoned DBAs. However, the field laments the difficulty of securing specialized personnel (45.5%) and the excessive time required (36.4%) to analyze and optimize even a single query.

Due to these constraints, companies manage only the "malicious queries" that represent the top 1% to 5% of the heaviest loads. The remaining 95% are left neglected in a management blind spot. In a reality where one tuning expert can only handle 50 to 100 cases per month, inspecting tens of thousands of SQL queries is practically impossible under a human-centric system.

The Solution is Clear: A Paradigm Shift from Human-Centric to 'AI Automation'

It is time for a fundamental paradigm shift. Manual work, where humans analyze and tune SQL one by one, is no longer sufficient to prevent App service delays and failures caused by SQL performance issues in an increasingly complex and exponentially growing data environment. The only alternative is AI-based automation technology.

Openmade Consulting’s 'Query Medic' is currently the only AI LLM-based SQL auto-tuning solution globally, automatically removing performance bottlenecks that were previously handled by humans. At the administrator's request, it automatically extracts underperforming SQLs 24/7/365 and optimizes them in just a few minutes. Beyond mere tuning, the AI automatically verifies performance improvements and data integrity, guaranteeing the reliability of the results.

A New Standard for DB Health through 'Total SQL Performance Management'

The greatest value of 'Query Medic' lies in making "Total SQL Performance Management" a reality. What used to take an expert a month to tune, 'Query Medic' can process in a single day, increasing productivity by more than 50 times. This signifies a transition from selective management to a "solid SQL quality (performance) management system" that constantly optimizes every operational SQL in the system.

To confidently answer "Yes" to the question "Is my company's SQL truly safe?", organizations must establish a collaborative system between AI-driven automation and performance managers. If you want to protect your system from unannounced DB performance failures and reduce the wasted operational costs of DB resources, it is time to focus on the new paradigm of AI tuning.

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=237850)

Reporter : sokim9303@itdaily.kr

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