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Splunk

Next-generation IT operation platform

"Splunk IT Service Intelligence"

The next-generation IT operation platform "Splunk ITSI" is Splunk's Premium App that makes IT system monitoring and failure investigation more advanced and efficient, and eliminates the dependence of operation work on individual skills. It realizes visualization of IT system dependencies and anomaly/prediction detection using machine learning.

Background of Splunk ITSI attracting attention
~ IT operation required in the DX era = IT Operation Analytics (ITOA) ~

DX (Digital Transformation), which all companies are working on, is based on the concept that "the penetration of IT will change people's lives in a better direction". The realization of DX means that business will become more dependent on IT systems. "How we can continue and stably operate the IT system" will greatly affect the future success of the business.
That is why IT operations are required to transform from ITOM (IT Operation Management) to ITOA (IT Operation Analytics).
ITOA integrates the data necessary for operation and utilizes machine learning to detect anomalies and predictive signs, and also realizes observability to quickly identify "where, what, and why" when a failure occurs. It is possible to.

  • Splunk ITSIが注目されている背景

Features of Splunk ITSI

1. Service point of view monitoring

In order to keep the IT system running stably continuously, it is possible to clarify the dependencies of each service and monitor the status of the entire system instead of each host.

  • サービス観点での監視

2. Quick fault isolation and root cause investigation -Tree view-

You can check the dependencies and health scores of each service that makes up the system, and easily identify the bottleneck point when a failure occurs.

*Database health score deteriorated → Storage KPI increased → Target host identified as mysql-02

  • 迅速な障害の切分けと原因調査

2. Rapid fault isolation and cause investigation ~Deep dive~

Useful for root cause identification (why did this failure occur). Each KPI necessary for measuring the health of the service can be confirmed at the same time, and furthermore, checking the event log contributes to the identification of the root cause.

  • 迅速な障害の切分けと原因調査

3. Proactive anomaly detection with machine learning

Leverage machine learning to reduce unnecessary alerts, streamline operations and eliminate lost opportunities.

  • 機械学習によるプロアクティブな異常検知

Others: Create a dashboard with a high degree of freedom ~Glass table~

A flexible canvas and editing tools make it easy to create flexible dashboards.

  • 自由度の高いダッシュボードを作成

Splunk ITSI Use Case

1. Case of SB Payment Service Corp., Ltd.

Overview of ITOA platform using Splunk

Splunk Enterpriseを核にして、IT運用を高度化するソリューションを幅広くご提供いたします。

  • Overview of ITOA platform using Splunk

Inquiry/Document request

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