1. APM (Application Performance Monitoring) - Tools and processes for tracking the performance of software applications.
  2. P95 (95th Percentile) - Value below which 95% of the observations fall.
  3. P99 (99th Percentile) - Value below which 99% of the observations fall.
  4. Flamegraph - Visual representation of hierarchical data, typically used to visualize stack traces.
  5. Gantt Charts - Bar chart that represents a project schedule, showing the start and finish dates of elements.
  6. Throughput - Measure of how many units of information a system can process in a given amount of time.
  7. Latency - Time delay between the cause and the effect of some physical change in the system being observed.
  8. Response Time - Time taken for a system to respond to a request.
  9. Service Level Agreement (SLA) - Commitment between a service provider and a client.
  10. Service Level Objective (SLO) - Specific measurable characteristics of the SLA such as availability, throughput, frequency, response time, or quality.
  11. Service Level Indicator (SLI) - Metric used to measure the SLO.
  12. Error Rate - Percentage of all requests that result in an error.
  13. Availability - Proportion of time a system is in a functioning condition.
  14. Uptime - Amount of time a system is operational.
  15. Downtime - Amount of time a system is non-operational.
  16. Mean Time Between Failures (MTBF) - Average time between system failures.
  17. Mean Time To Repair (MTTR) - Average time required to repair a system.
  18. Root Cause Analysis (RCA) - Method of problem solving to identify the root causes of faults or problems.
  19. Transaction Tracing - Process of tracking the path of a single transaction through a system.
  20. Distributed Tracing - Method to track requests as they propagate through distributed systems.
  21. Heatmap - Data visualization technique that shows the magnitude of a phenomenon as color in two dimensions.
  22. Histogram - Graphical representation showing the frequency distribution of data points.
  23. Alerting - Notifying operators when a metric exceeds a predefined threshold.
  24. Anomaly Detection - Identifying data points that deviate significantly from the majority of the data.
  25. Baseline - Reference point used for comparison.
  26. Synthetic Monitoring - Using scripted transactions to simulate user interactions with a service.
  27. Real User Monitoring (RUM) - Passive monitoring that records all user interaction with a website or application.
  28. Log Aggregation - Collecting and storing log data from multiple sources in one place.
  29. Log Parsing - Extracting meaningful information from log files.
  30. Log Rotation - Renaming and compressing log files and creating new ones.
  31. Metrics - Quantitative measurements used to assess the performance and health of a system.
  32. Dashboards - Visual displays of key performance indicators and other metrics.
  33. Key Performance Indicator (KPI) - A measurable value that demonstrates how effectively a company is achieving key business objectives.
  34. Instrumentation - Adding code to an application to collect data about its behavior.
  35. Sampling - Technique of measuring a portion of events to infer the behavior of the entire system.
  36. Span - Unit of work in a trace, representing a single operation.
  37. Trace - Representation of a series of operations.
  38. Metrics Store - Database or other storage system for metrics data.
  39. Time Series Database - Database optimized for time-stamped or time series data.
  40. Alert Thresholds - Predefined limits which, when exceeded, trigger an alert.
  41. Event Correlation - Identifying and linking related events to determine the underlying issue.
  42. Telemetry - Automated communications process by which measurements are collected.
  43. Health Check - Process to determine the status of a system.
  44. Capacity Planning - Process of determining the necessary resources to meet future demands.
  45. Load Testing - Testing to determine how a system behaves under a specific load.
  46. Stress Testing - Testing to determine the limits of a system under extreme conditions.
  47. End-to-End Monitoring - Comprehensive monitoring of the entire system or process.
  48. Service Map - Visual representation of how services interact within a system.
  49. Dependency Mapping - Identifying and documenting the dependencies between various components of a system.
  50. Throttling - Controlling the amount of resources used by an application or service.
  51. Rate Limiting - Restricting the number of requests a user can make to a service within a specified time period.
  52. Circuit Breaker - Pattern to detect failures and sum up the logic of preventing a failure from constantly recurring.
  53. Retry Logic - Mechanism to handle transient errors by retrying the failed operation.
  54. Backoff Strategy - Gradually increasing the wait time between retries to prevent overwhelming a service.
  55. Chaos Engineering - Practice of experimenting on a system to build confidence in its ability to withstand turbulent conditions.
  56. Observability - Measure of how well you can understand a system's internal states from its external outputs.
  57. Span Context - Metadata that helps to link spans together in a trace.
  58. Sampling Rate - Frequency at which samples are collected.
  59. Event Logging - Recording events that occur in a system.
  60. Tagging - Adding metadata to metrics, logs, or traces for easier identification and filtering.
  61. Service Discovery - Automatically detecting services in a network.
  62. Health Endpoint - Specific URL that returns the health status of an application.
  63. Red/Black Deployment - Deployment strategy similar to blue/green where the new version runs alongside the old.
  64. Instrumentation Library - Collection of tools for adding instrumentation to an application.
  65. Dependency Injection - Technique for achieving Inversion of Control (IoC) between classes and their dependencies.
  66. Rolling Deployment - Gradual release of a new version of software.
  67. Shadow Testing - Running a new version alongside the old version to compare performance.
  68. Error Budget - Acceptable amount of downtime or errors allowed over a period.
  69. Service Topology - Diagram showing the relationships between services.
  70. User Journey - Path taken by a user through an application.
  71. Telemetry Pipeline - Sequence of processes for collecting, transmitting, and analyzing telemetry data.
  72. Monitoring Agent - Software that collects monitoring data.
  73. Resource Utilization - Measurement of how efficiently system resources are being used.
  74. Data Retention - Duration for which monitoring data is kept.
  75. Granularity - Level of detail in collected data.
  76. Workload - Amount of work that a system is performing.
  77. Benchmarking - Comparing system performance against a standard.
  78. Health Metrics - Metrics that indicate the health of a system.
  79. Transaction Time - Time taken to complete a transaction.
  80. Service Latency - Time taken for a service to respond.
  81. Error Code - Code that indicates the type of error encountered.
  82. Payload Size - Size of data sent in a request or response.
  83. Concurrent Users - Number of users simultaneously accessing a system.
  84. Data Sampling - Process of selecting a subset of data for analysis.
  85. Heap Dump - Snapshot of the memory of a process.
  86. Thread Dump - Snapshot of the active threads of a process.
  87. CPU Profiling - Analyzing the CPU usage of a process.
  88. Memory Profiling - Analyzing the memory usage of a process.
  89. Garbage Collection - Process of reclaiming unused memory.
  90. Leak Detection - Identifying memory leaks.
  91. Instrumentation API - Interface for adding instrumentation to an application.
  92. Service Mesh - Dedicated infrastructure layer for managing service-to-service communication.
  93. Circuit Breaker Pattern - Pattern to detect failures and sum up logic to prevent cascading failures.
  94. Rate Limiting - Controlling the rate of requests sent to or from a service.
  95. Fault Injection - Introducing errors into a system to test its robustness.
  96. Synthetic User - Simulated user interactions used for testing.
  97. Transaction Volume - Amount of transactions processed.
  98. Application Log - Log generated by an application.
  99. System Log - Log generated by the operating system.
  100. Request Trace - Detailed tracking of a request's journey through a system.
  101. Span ID - Unique identifier for a span in a trace.
  102. Parent Span ID - Identifier linking a span to its parent span.
  103. Log Level - Severity of a log message (e.g., DEBUG, INFO, WARN, ERROR).
  104. Throttling Policy - Rules for controlling the rate of requests.
  105. Jitter - Variation in latency.
  106. Heartbeat - Regular signal to indicate that a system is running.
  107. Event Stream - Continuous flow of events.
  108. Buffering - Temporarily storing data in memory while it's being transferred.
  109. Data Sharding - Partitioning data across multiple servers.
  110. Data Replication - Copying data to ensure consistency and reliability.
  111. APDEX (Application Performance Index) - Standardized measure of user satisfaction with application performance.
  112. Synthetic Transaction - Predefined, automated interactions with an application to test its performance.
  113. Telemetry Data - Data collected for monitoring and analysis.
  114. Service Dependency - Relationship between services where one service relies on another.
  115. Error Budget Policy - Rules for managing error budgets.
  116. Usage Analytics - Analyzing how users interact with an application.
  117. Heat Map - Visual representation of data where values are depicted by color.
  118. Telemetry Client - Component that collects telemetry data.
  119. Trace Context - Information that allows linking spans across services.
  120. Performance Tuning - Adjusting a system to improve its performance.

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