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Real-time Vehicle Documentation Monitoring

Client

Headquartered in Germany, our client is the research and development center for the world’s largest manufacturer of premium and commercial vehicles. The center focuses on research, IT engineering, and product development.

Industry

Automobile

Overview

A centralized log management solution enables enterprises to access service metrics and log files to capture and analyze business data. We migrated the client’s documentation monitoring system into the ELK stack to generate real-time visualizations, delivering a convenient end-user experience with a Kibana-based dashboard. The solution helped the client gain actionable insights to achieve operational excellence.

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Business Requirement

The client wanted to upgrade the IT infrastructure and help engineers overcome the challenge of running multiple scripts to access the vehicle documentation logging system.

  • Migrate the current system into an ELK stack
  • Implement OpenID login
  • Real-time monitoring of logs
  • Extract actionable insights from visualizations

QBurst Solution

We migrated the client’s vehicle documentation monitoring system into:

  • Elasticsearch: Used for full-text search and analysis of logs and metrics
  • Logstash: Ingests and transforms logs and events
  • Kibana: Provides intuitive visualizations to review logs and events

The vehicle documentation monitoring system consists of multiple servers that handle daily transactions. Kibana visualizations were generated to monitor system servers, which include transaction and metric monitoring.

The solution monitors application transactions, calculates response time, and plots graphs for load time/request response time. Additionally, it monitors DB logs, DB transactions, and DB health.

The solution drills down transaction details, processes load details, and presents them in the form of intuitive visualizations using Kibana.

Benefits

  • 12% spike in revenue as a result of real-time performance monitoring
  • 45% drop in issues as a result of predictive analysis and overall stability
  • Visualized logs and time-stamped data helped perform faster root cause analysis
  • 40% reduction in effort time to generate graphs helped expedite business decisions
  • 23% increase in operational efficiency as a result of enhanced KPI tracking
  • Automation reduced the steep learning curve of manually performed tasks

Technologies

  • Elasticsearch
  • Logstash
  • Kibana
  • Angular 5
  • OpenID
  • Docker
  • Docker Toolbox
  • NXLog
  • Apache Kafka
  • Fluentd
  • Filebeat
  • Metricbeat

Business Requirement

The client wanted to architect, configure, and support their ETL process to develop telecom mediation layer data and generate invoices. This included dealing with large volumes of data across multiple source systems, transforming and loading data to and from data marts and data warehouses.

  • Migrate the current system into an ELK stack
  • Implement OpenID login
  • Real-time monitoring of logs
  • Extract actionable insights from visualizations

QBurst Solution

We migrated the client’s vehicle documentation monitoring system into:

  • Elasticsearch: Used for full-text search and analysis of logs and metrics
  • Logstash: Ingests and transforms logs and events
  • Kibana: Provides intuitive visualizations to review logs and events

The vehicle documentation monitoring system consists of multiple servers that handle daily transactions. Kibana visualizations were generated to monitor system servers, which include transaction and metric monitoring.

The solution monitors application transactions, calculates response time, and plots graphs for load time/request response time. Additionally, it monitors DB logs, DB transactions, and DB health.

The solution drills down transaction details, processes load details, and presents them in the form of intuitive visualizations using Kibana.

Benefits

  • 12% spike in revenue as a result of real-time performance monitoring
  • 45% drop in issues as a result of predictive analysis and overall stability
  • Visualized logs and time-stamped data helped perform faster root cause analysis
  • 40% reduction in effort time to generate graphs helped expedite business decisions
  • 23% increase in operational efficiency as a result of enhanced KPI tracking
  • Automation reduced the steep learning curve of manually performed tasks

Technologies

  • Elasticsearch
  • Logstash
  • Kibana
  • Angular 5
  • OpenID
  • Docker
  • Docker Toolbox
  • NXLog
  • Apache Kafka
  • Fluentd
  • Filebeat
  • Metricbeat

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