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2 examples of Latency metrics and KPIs

What are Latency metrics?

Finding the right Latency metrics can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.

You can copy these examples into your preferred app, or alternatively, use Tability to stay accountable.

Find Latency 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 Latency metrics and KPIs

Metrics for Speed and Security Analysis

  • 1. Latency

    Time taken for a transaction or processing a fall event from the input to the final output

    What good looks like for this metric: 200-500 milliseconds

    Ideas to improve this metric
    • Optimize network bandwidth
    • Utilise more efficient consensus algorithms
    • Reduce data complexity in transactions
    • Incorporate edge computing techniques
    • Enhance processing speeds of nodes
  • 2. Throughput

    Number of transactions processed within a given period

    What good looks like for this metric: 10-100 transactions per second

    Ideas to improve this metric
    • Increase the number of nodes
    • Upgrade node hardware
    • Implement parallel processing techniques
    • Optimize transaction validation methods
    • Utilise sharding techniques
  • 3. Security Breach Rate

    Number of successful breaches attempts per month

    What good looks like for this metric: 0-1 breach per year

    Ideas to improve this metric
    • Regularly update encryption protocols
    • Conduct routine security audits
    • Implement multi-factor authentication
    • Train staff on security awareness
    • Utilise a robust incident response strategy
  • 4. Scalability

    Ability to maintain performance as network size or data volume increases

    What good looks like for this metric: Linear performance degradation with scale

    Ideas to improve this metric
    • Adopt more scalable consensus algorithms
    • Reduce data redundancy
    • Utilise cloud resources for storage
    • Implement load balancing techniques
    • Employ distributed ledger technology
  • 5. Data Integrity

    Accuracy and consistency of data over its lifecycle

    What good looks like for this metric: 99.9% integrity rate

    Ideas to improve this metric
    • Regularly verify data with hash functions
    • Set permissions and roles for data access
    • Utilise smart contracts for automatic validation
    • Implement data replication strategies
    • Conduct integrity checks at regular intervals

Metrics for Measuring Image Performance

  • 1. Latency

    The time taken for the image to load from the server to the user's end

    What good looks like for this metric: Typical benchmark value is under 100ms

    Ideas to improve this metric
    • Optimize image sizes
    • Use a Content Delivery Network (CDN)
    • Implement lazy loading
    • Enable browser caching
    • Minimize HTTP requests
  • 2. Cost Per Image Delivered

    The total cost incurred for delivering each image to the user

    What good looks like for this metric: A typical benchmark is under $0.01 per image

    Ideas to improve this metric
    • Choose cost-effective hosting solutions
    • Compress images to reduce size
    • Utilise efficient caching strategies
    • Optimise server infrastructure
    • Leverage cost-effective CDNs
  • 3. Image Load Time

    The amount of time it takes for an image to be fully accessible on a user's screen

    What good looks like for this metric: An ideal benchmark is under 2 seconds

    Ideas to improve this metric
    • Reduce image dimensions
    • Utilise responsive images
    • Implement file format that loads faster
    • Use asynchronous loading
    • Optimise server response times
  • 4. Scalability

    The ability to handle increasing load of image delivery without performance degradation

    What good looks like for this metric: Should smoothly handle a 100% increase in traffic

    Ideas to improve this metric
    • Implement auto-scaling infrastructure
    • Utilise robust load balancing solutions
    • Optimise image storage options
    • Conduct regular stress testing
    • Use scalable databases
  • 5. User Satisfaction

    Measures how satisfied users are with image load times and quality

    What good looks like for this metric: Typical satisfaction rate above 80%

    Ideas to improve this metric
    • Conduct user feedback surveys
    • Analyse user interaction data
    • Regularly update images for relevance
    • Ensure high-resolution options as needed
    • Implement faster image formats

Tracking your Latency 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

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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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