SIGQ Holds Special Discussion with ClickHouse CTO; Announces Event on 'SRE in the AI Era'

SIGQ Inc. (Headquarters: Tsukuba City, Ibaraki Prefecture; CEO: Takaaki Kanetsuki; hereinafter 'the Company'), which develops 'Incident Lake', an AI agent specialized in incident management, will hold an offline community event 'ILUG Tech Talk #1' starting at 19:00 on June 24, 2026. The event aims to deeply explore next-generation Site Reliability Engineering (SRE) in the AI era.

This event is planned based on a special discussion between Alexey Milovidov, co-founder and CTO of the globally recognized data infrastructure company ClickHouse, and the Company's CEO Kanetsuki, as well as the insights from the discussion article (Parts 1 and 2) published today.

(From left: SIGQ CEO Kanetsuki, ClickHouse CTO Alexey Milovidov)

Background and Purpose: 'SRE in the AI Era' Derived from World-Class Knowledge

In enterprise system incident management, expectations are rising for 'AI-SRE', where AI agents autonomously handle system failures. However, for AI to accurately auto-generate timelines and postmortems, millisecond-level 'data freshness' and a high-speed, low-cost data infrastructure capable of handling the massive queries characteristic of AI are essential.

The Company's 'Incident Lake' also initially faced constraints with BigQuery, such as high costs from large-scale queries and data update limitations. To solve this, the Company migrated to 'ClickHouse Cloud' approximately six months ago, becoming the first in Japan to implement approximate vector search functionality and achieve autonomous incident management in a production environment.

Against this backdrop, a special technical discussion was realized between Alexey Milovidov, co-founder and CTO of ClickHouse—whose observability platform is adopted by world-leading AI companies such as OpenAI, Anthropic, and Tesla—and the Company's CEO Kanetsuki, who is also a researcher in the database field. The discussion covered deep, world-class topics including a future where AI autonomously handles everything from anomaly detection to resolution, and the ideal data infrastructure that suppresses hallucinations and supports human decision-making.

Following the release of the special report article on this discussion, the Company will hold the offline event 'ILUG Tech Talk #1' to return these cutting-edge insights to the Japanese engineering community. Through this initiative, the Company aims to elevate incident response into 'strategic resilience activities' that enhance corporate trust and strongly support an environment where developers can focus on value creation.

Overview of the Special Discussion Article

The ClickHouse CTO and the Company's CEO Kanetsuki, who is pioneering autonomous incident management in Japan, thoroughly discussed the data infrastructure required in the AI era and the future of SRE.

[Part 1] Why SIGQ Migrated from BigQuery to ClickHouse

This part explains how the migration to ClickHouse solved the critical issues of 'data freshness' and 'cost surges' from massive queries in AI agent operations. It also provides a technical explanation of the background behind SIGQ's implementation of ClickHouse's 'approximate vector search'—the first production deployment in Japan—and why world-leading AI companies choose ClickHouse.

URL: https://incidentlake.com/knowledge/interview/incident-lake-clickhouse-migration

[Part 2] Exploring the Future of SRE in the AI Era from Data and Incident Management

This part looks ahead to the dramatic operational changes brought by 'Agentic Analytics', where AI issues queries to analytical databases, and 'AI-SRE', which autonomously handles anomaly detection to resolution. It also discusses methods to suppress AI hallucinations and the importance of 'responsible decision-making' and product strategy that remain for humans in the AI era.

URL: https://incidentlake.com/knowledge/interview/incident-lake-clickhouse-ai-sre

Overview of Offline Event 'ILUG Tech Talk #1'

Based on the discussion article, a practical technical event will be held for engineers and practitioners interested in AI SRE. Specialists including the Company's CEO Kanetsuki will present more detailed technical explanations and discussions. A networking session for participants will also be provided.

Event Name: ILUG Tech Talk #1 ~ Exploring the Future of SRE in the AI Era from Data and Incident Management~

Date & Time: June 24, 2026 (Wednesday), 19:00-21:00 (Reception starts at 18:30)

Venue: To be individually notified to participants (Offline event)

Capacity: 20 participants (Lottery system)

Fee: Free (Pre-registration required)

Registration URL: https://incidentlake-ug.connpass.com/event/395859/

Main Topics:

- The current state of incident response transformed by Agentic Analytics / AI-SRE
- Tasks that can be left to AI and 'decision-making with responsibility' that remains for humans
- How to suppress hallucinations: Using LLMs and traditional machine learning appropriately
- The supporting data infrastructure: ClickHouse's approximate vector search, RAG, and data freshness

Comment from Takaaki Kanetsuki, CEO of SIGQ Inc.

'For AI to function accurately and suppress hallucinations in Incident Lake, millisecond-level data freshness is essential. From my experience handling all kinds of databases over the past 10 years, I can assert that ClickHouse is the best for building RAG. Having this deep discussion about the future of AI-SRE and data structures with Alexey, the creator of ClickHouse, was a valuable opportunity that confirmed the correctness of our philosophy.

With the spread of AI, root cause analysis and summarization will be automated, but significant decisions involving responsibility will continue to remain with humans. I hope that 'ILUG Tech Talk #1', based on the cutting-edge insights gained from discussions with a global company, will be an opportunity for SRE and infrastructure engineers in Japan to grasp new operational standards in the AI era and take concrete steps toward implementation.'

About 'Incident Lake'

'Incident Lake' is an 'Incident Intelligence Layer' that uses the evolution of cutting-edge LLMs as its engine, integrating scattered operational data to dramatically speed up decision-making.

A 'Knowledge Hub' Where Accumulation Sharpens the LLM

It goes beyond simple data processing. It integrates dialogues from Slack, existing ticket management tools (ServiceNow, Atlassian