Webinar: 'Can You Drill Down Directly to the Root Cause of Current Service Delays?'

Background: Difficulty in Grasping the Causes of Service Delays In modern IT services, where cloud utilization and microservices are advancing, a single screen delay or response degradation is often tied to multiple application processes and API calls. Consequently, traditional infrastructure-centric monitoring alone makes it difficult to grasp the cause of the "service delay" experienced by users from a service perspective. Furthermore, during a failure, isolation of the issue frequently occurs among operations, development, and application teams, leading to prolonged resolution times as the exact process causing the problem cannot be quickly pinpointed.

Reactive Responses with Post-Analysis APMs Even with APMs in place, if operations primarily revolve around accumulating massive amounts of data and analyzing it after a failure occurs, it becomes difficult to pinpoint the cause of an ongoing service delay on the spot, resulting in prolonged MTTR. In addition, because analysis requires specialized knowledge, only a limited number of people can handle cause identification, leading to operations heavily dependent on specific individuals. Furthermore, as the volume of data to collect, store, and analyze increases, monitoring costs easily inflate, making the operation of existing APMs itself a target for review.

Visualizing Causes Through Ongoing Process Status and AI Analysis In this seminar, based on WhaTap Application Monitoring, we will explain the concepts and practical methods to quickly grasp the causes of service delays by capturing the ongoing process status without relying on post-analysis. WhaTap helps track the root cause by keeping system load to a minimum by installing only the necessary agents, while visualizing the ongoing process status, automatically recording all transactions at all times, and providing analysis support using AI. We will specifically introduce with demonstrations how you can accelerate incident response, shorten MTTR, reduce dependency on individuals, and optimize monitoring costs while achieving operations that do not rely solely on highly experienced personnel, making it easy to track problem areas with simple drill-down actions.

[Challenges with Other APM Tools] - Heavy system load: Concerns about impact on production environments due to integrated agent deployment - Difficulty of operation: Lacks intuitive bottleneck drill-downs, requiring a steep learning curve - Dependency on individuals: Analysis relies on senior engineers with advanced specialized skills and experience - Cost barriers: Increasing financial burden due to growing data volumes, optional features, and account numbers

[With WhaTap APM] - Overwhelming lightness: Minimizes system load by introducing only necessary agents - Intuitive operability: Shortens MTTR until problem resolution with simple drill-downs - User-friendly UI for everyone: Lowers the learning curve and supports team-wide operations - AI analysis support: Supports root cause investigations without depending solely on experienced personnel

Hosted / Co-hosted by WhaTap Japan Co., Ltd.

Supported by Open Source Utilization Research Institute, Inc. Majisemi Co., Ltd.

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