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2 examples of System Administrator metrics and KPIs

What are System Administrator metrics?

Crafting the perfect System Administrator metrics can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

Find System Administrator metrics with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.

Examples of System Administrator metrics and KPIs

Metrics for IT Department Efficiency

  • 1. Incident Response Time

    The average time it takes for the IT department to respond to an incident after it is reported.

    What good looks like for this metric: 30 minutes to 1 hour

    Ideas to improve this metric
    • Implement automated alert systems
    • Conduct regular training sessions
    • Set up a 24/7 support team
    • Streamline incident escalation processes
    • Utilise incident management tools
  • 2. First Contact Resolution Rate

    The percentage of IT issues resolved during the first contact with the user.

    What good looks like for this metric: 70% to 80%

    Ideas to improve this metric
    • Enhance self-service tools and resources
    • Improve knowledge base quality
    • Conduct specialised training for support staff
    • Implement a feedback loop for continuous improvement
    • Use advanced diagnostic tools
  • 3. System Uptime

    The percentage of time that IT systems are operational and available for use.

    What good looks like for this metric: 99% to 99.9%

    Ideas to improve this metric
    • Regularly update and patch systems
    • Implement high availability solutions
    • Conduct regular system monitoring
    • Perform routine maintenance checks
    • Use redundant systems
  • 4. User Satisfaction Score

    The average satisfaction rating given by users after IT services are provided.

    What good looks like for this metric: 4.0 to 4.5 out of 5

    Ideas to improve this metric
    • Offer regular customer service training
    • Obtain user feedback and act on it
    • Enhance communication channels
    • Implement a user-friendly ticketing system
    • Provide regular updates to users
  • 5. Mean Time to Repair (MTTR)

    The average time taken to fully repair an IT issue after it is reported.

    What good looks like for this metric: 2 to 4 hours

    Ideas to improve this metric
    • Improve diagnostic procedures
    • Use automated repair tools
    • Maintain an updated inventory of spare parts
    • Enhance collaboration between IT teams
    • Conduct thorough post-incident reviews

Metrics for Measuring Backend Development

  • 1. Response Time

    The time taken for a system to respond to a request, typically measured in milliseconds.

    What good looks like for this metric: 100-200 ms

    Ideas to improve this metric
    • Optimise database queries
    • Use efficient algorithms
    • Implement caching strategies
    • Scale infrastructure
    • Minimise network latency
  • 2. Error Rate

    The percentage of requests that result in errors, such as 4xx or 5xx HTTP status codes.

    What good looks like for this metric: Less than 1%

    Ideas to improve this metric
    • Improve input validation
    • Conduct thorough testing
    • Use error monitoring tools
    • Implement robust exception handling
    • Optimize API endpoints
  • 3. Request Per Second (RPS)

    The number of requests the server can handle per second.

    What good looks like for this metric: 1000-5000 RPS

    Ideas to improve this metric
    • Use load balancing
    • Optimise server performance
    • Increase concurrency
    • Implement rate limiting
    • Scale vertically and horizontally
  • 4. CPU Utilisation

    The percentage of CPU resources used by the backend server.

    What good looks like for this metric: 50-70%

    Ideas to improve this metric
    • Profile and optimise code
    • Distribute workloads evenly
    • Scale infrastructure
    • Use efficient data structures
    • Reduce computational complexity
  • 5. Memory Usage

    The amount of memory consumed by the backend server.

    What good looks like for this metric: Less than 85% of total memory

    Ideas to improve this metric
    • Identify and fix memory leaks
    • Optimise data storage
    • Use garbage collection
    • Implement memory caching
    • Scale infrastructure

Tracking your System Administrator metrics

Having a plan is one thing, sticking to it is another.

Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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