Catalog
concept#Data#Analytics#Real-time Monitoring

Monitoring

Monitoring is a process for the continuous observation and analysis of systems.

Monitoring allows organizations to observe the status of their systems in real-time.
Established
Medium

Classification

  • Medium
  • Technical
  • Architectural
  • Advanced

Technical context

Integration with cloud services.Connection to databases.Interfaces to monitoring tools.

Principles & goals

Real-time data should be prioritized.Early issue detection is crucial.Transparency for all team members is necessary.
Build
Enterprise, Domain

Use cases & scenarios

Compromises

  • Insufficient monitoring can lead to outages.
  • Dependence on tools can be risky.
  • Incorrect data can be misleading.
  • Conduct regular reviews.
  • Provide training for team members.
  • Optimize based on data analyses.

I/O & resources

  • Access to system resources.
  • Install monitoring software.
  • Provide configuration data.
  • Real-time performance reports.
  • Alerts for anomalous data.
  • Analyses for system optimization.

Description

Monitoring allows organizations to observe the status of their systems in real-time. Early detection of issues and analysis of performance data are crucial for optimizing processes and systems. Effective monitoring supports improvements in efficiency and reliability.

  • Increased system availability.
  • Improved response times to issues.
  • Better decision-making through data.

  • High costs for implementation and maintenance.
  • Requires specialized knowledge.
  • Can lead to information overload.

  • Response Time

    The time taken to respond to requests.

  • System Availability

    The percentage of time the system is available.

  • Error Rate

    The proportion of requests that are erroneous.

Monitoring an Online Store

An online store implemented a monitoring system to observe availability and performance in real-time.

IT Infrastructure Monitoring

A company improved its IT infrastructure by implementing a monitoring system for issue detection.

Cloud Service Monitoring

A cloud service provider utilized monitoring to optimize the performance of its services.

1

Identify needs and set objectives.

2

Select and install monitoring software.

3

Configure monitoring parameters.

⚠️ Technical debt & bottlenecks

  • Outdated monitoring tools.
  • Integrated systems with different standards.
  • Lack of documentation for processes.
Limited network resources.Data integration issues.Weak process automation.
  • Monitoring without clear objectives.
  • Ignoring data that does not meet expectations.
  • Incorrect interpretations of alerts.
  • Overload with irrelevant data.
  • Ignoring the user's perspective.
  • Neglecting training.
Knowledge in network technology.Analytical skills for data evaluation.Experience with monitoring software.
Technological developments in data analysis.Increased demands for system availability.Growing pressure for performance optimization.
  • Regulatory requirements must be observed.
  • Technology stack must be compatible.
  • Resource capacities are limited.