Webinar Announcement: 'Sudden Slow SQL—Who Tracks Down the Cause?'
Nihon Exem will hold a webinar focusing on how to resolve the issue of expert-dependent database troubleshooting by using SQL-level tracking and visualization with MaxGauge.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 18:00
- 🔍 Collected: April 28, 2026 at 10:01
- 🤖 AI Analyzed: April 28, 2026 at 10:11 (9 min after Collected)
## Reality of Sudden Slow SQL and Unobservable Execution Status
Databases supporting business and core systems may appear to operate without issues during normal times, but suddenly, SQL response times can slow down, placing immediate pressure on on-site teams. Particularly for companies in manufacturing, finance, and telecommunications that run mission-critical systems, failures or performance issues can quickly impact business operations, necessitating rapid root cause identification. Nihon Exem aims to provide proposals that include diagnosis and consulting, starting from MaxGauge, targeting user companies actually facing these difficulties and turning troubleshooting situations into business opportunities.
On the other hand, few companies can afford dedicated database personnel. In reality, information systems departments, infrastructure teams, or developers often handle failure responses as an additional duty. Consequently, while they may see 'what is happening now' during a failure, they struggle to organize 'why it slowed down' or 'where to start tracking,' leading to a situation where response efforts heavily depend on specific individuals. Clients have shared that very few people treat DB issues as their own responsibility, and many simply want to 'leave it to someone else.'
## Failure and Performance Response Hindered by Fragmented Logs and Individualization
In environments where failure and performance issues persist, the bottleneck is often not just the difficulty of investigation but the fact that information for identifying the cause exists only in fragments. While logs and monitoring data are available, teams often cannot retroactively trace events chronologically at the time of failure, distinguish between DB-originated and app-originated issues, or pinpoint specific SQL statements or sessions. As a result, operations fall into a structural trap where responses rely on log analysis or vendor support, and recovery is prioritized over identifying the root cause, leaving only a few people capable of tracing the issue. Clients highlight the lack of data for event organization and evidence gathering, as well as the absence of personnel capable of handling failures, as major on-site challenges.
Consequently, a vicious cycle continues: 'Recovery was achieved, but the cause remains unexplainable,' 'similar problems recur because the root cause was not organized,' and 'dependence on specific personnel continues because only they can track the issue.' This webinar is unique because it frames these issues not just as a technical introduction to cause identification, but as an operational challenge of how to change individualized failure and performance responses. The client intends to create content that begins with raising these problems and introduces MaxGauge as the tool to solve them, rather than just focusing on the product.
## Operations Connecting SQL Tracking, Cause Identification, and Recurrence Prevention
This seminar will organize why cause tracking becomes individualized for sudden SQL slowdowns and performance issues. It will explain how to visualize situations that fragmented logs and monitoring cannot fully capture and how to track them at the SQL and session levels chronologically. MaxGauge's strength lies in its ability not only to perform real-time monitoring but also to reproduce and analyze situations during failures by tracing back through history. It supports event organization and evidence acquisition, combined with expert assistance for subsequent cause identification and improvement considerations.
Furthermore, the session will handle the perspective of not just 'finding the cause' but creating a state where the cause can be explained and connecting it to recurrence prevention. In interactions with clients, it has been confirmed that 'reflection, explanation, and recurrence prevention' are goals in the same direction, and the aim is to connect this to integrated proposals including diagnosis and consulting beyond MaxGauge alone. This seminar provides an opportunity to rethink DB operations—moving away from makeshift responses to failures and performance issues toward an environment where anyone can track, explain, and lead to improvements.
## Recommended For
- Those where responsibility for tracking the cause of sudden slow SQL is ambiguous.
- Those where failure and performance response is concentrated on specific individuals.
- Those where investigation is prolonged because fragmented logs and monitoring info fail to provide a complete picture.
- Those struggling to distinguish between DB-originated and app-originated causes.
- Those who want to move beyond cause identification to fulfill accountability and prevent recurrence.
## Organizer / Co-organizer
Nihon Exem Co., Ltd.
## Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Databases supporting business and core systems may appear to operate without issues during normal times, but suddenly, SQL response times can slow down, placing immediate pressure on on-site teams. Particularly for companies in manufacturing, finance, and telecommunications that run mission-critical systems, failures or performance issues can quickly impact business operations, necessitating rapid root cause identification. Nihon Exem aims to provide proposals that include diagnosis and consulting, starting from MaxGauge, targeting user companies actually facing these difficulties and turning troubleshooting situations into business opportunities.
On the other hand, few companies can afford dedicated database personnel. In reality, information systems departments, infrastructure teams, or developers often handle failure responses as an additional duty. Consequently, while they may see 'what is happening now' during a failure, they struggle to organize 'why it slowed down' or 'where to start tracking,' leading to a situation where response efforts heavily depend on specific individuals. Clients have shared that very few people treat DB issues as their own responsibility, and many simply want to 'leave it to someone else.'
## Failure and Performance Response Hindered by Fragmented Logs and Individualization
In environments where failure and performance issues persist, the bottleneck is often not just the difficulty of investigation but the fact that information for identifying the cause exists only in fragments. While logs and monitoring data are available, teams often cannot retroactively trace events chronologically at the time of failure, distinguish between DB-originated and app-originated issues, or pinpoint specific SQL statements or sessions. As a result, operations fall into a structural trap where responses rely on log analysis or vendor support, and recovery is prioritized over identifying the root cause, leaving only a few people capable of tracing the issue. Clients highlight the lack of data for event organization and evidence gathering, as well as the absence of personnel capable of handling failures, as major on-site challenges.
Consequently, a vicious cycle continues: 'Recovery was achieved, but the cause remains unexplainable,' 'similar problems recur because the root cause was not organized,' and 'dependence on specific personnel continues because only they can track the issue.' This webinar is unique because it frames these issues not just as a technical introduction to cause identification, but as an operational challenge of how to change individualized failure and performance responses. The client intends to create content that begins with raising these problems and introduces MaxGauge as the tool to solve them, rather than just focusing on the product.
## Operations Connecting SQL Tracking, Cause Identification, and Recurrence Prevention
This seminar will organize why cause tracking becomes individualized for sudden SQL slowdowns and performance issues. It will explain how to visualize situations that fragmented logs and monitoring cannot fully capture and how to track them at the SQL and session levels chronologically. MaxGauge's strength lies in its ability not only to perform real-time monitoring but also to reproduce and analyze situations during failures by tracing back through history. It supports event organization and evidence acquisition, combined with expert assistance for subsequent cause identification and improvement considerations.
Furthermore, the session will handle the perspective of not just 'finding the cause' but creating a state where the cause can be explained and connecting it to recurrence prevention. In interactions with clients, it has been confirmed that 'reflection, explanation, and recurrence prevention' are goals in the same direction, and the aim is to connect this to integrated proposals including diagnosis and consulting beyond MaxGauge alone. This seminar provides an opportunity to rethink DB operations—moving away from makeshift responses to failures and performance issues toward an environment where anyone can track, explain, and lead to improvements.
## Recommended For
- Those where responsibility for tracking the cause of sudden slow SQL is ambiguous.
- Those where failure and performance response is concentrated on specific individuals.
- Those where investigation is prolonged because fragmented logs and monitoring info fail to provide a complete picture.
- Those struggling to distinguish between DB-originated and app-originated causes.
- Those who want to move beyond cause identification to fulfill accountability and prevent recurrence.
## Organizer / Co-organizer
Nihon Exem Co., Ltd.
## Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.