custom metrics
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-19.)
custom metrics is Create custom metrics to track progress towards your goals.
29 facts·10 predicates·10 sources·3 in dispute
Mostly:rdf:type(9), includes(7), includes type(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
achievedByAchieved by(1)
- Performance Monitoring
ex:performance-monitoring
consumesConsumes(1)
- Horizontal Pod Autoscaler
ex:horizontal-pod-autoscaler
describesDescribes(1)
- Step 6
ex:step-6
extendedByExtended by(1)
- Success Rate Tracking
ex:success-rate-tracking
includesIncludes(1)
- Monitoring Tools
ex:monitoring-tools
measuresMeasures(1)
- User Defined Counters
ex:user-defined-counters
providesProvides(1)
- Metrics Server
ex:metrics-server
scalesBasedOnScales Based on(1)
- Horizontal Pod Autoscaler
ex:horizontal-pod-autoscaler
usesUses(1)
- Custom Metrics Autoscaler
ex:custom-metrics-autoscaler
Other facts (25)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
25 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Advanced Metric Type | [1] |
| Rdf:type | Metric | [2] |
| Rdf:type | Metric Type | [3] |
| Rdf:type | Monitoring Feature | [4] |
| Rdf:type | Configurable Feature | [5] |
| Rdf:type | Custom Measurement | [6] |
| Rdf:type | Metric Category | [7] |
| Rdf:type | Application Metrics | [8] |
| Rdf:type | Metric | [9] |
| Includes | request latency | [3] |
| Includes | queue length | [3] |
| Includes | build times | [5] |
| Includes | test durations | [5] |
| Includes | Cache Hit Rate | [8] |
| Includes | Cache Miss Rate | [8] |
| Includes | Latency Metric | [8] |
| Includes Type | Build Times | [5] |
| Includes Type | Test Durations | [5] |
| Is Alternative to | Resource Metrics | [1] |
| Used for | Track Performance Indicators | [4] |
| Allows Customization | true | [5] |
| Extends | Success Rate Tracking | [5] |
| Collected for | Application | [8] |
| Helps | Performance Analysis | [8] |
| Description | Create custom metrics to track progress towards your goals | [10] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
—
typebeam/26d3b996-b57f-4597-8598-823905efa092
ex:AdvancedMetricType
—
isAlternativeTobeam/26d3b996-b57f-4597-8598-823905efa092
ex:resource-metrics
—
typebeam/b5ded869-64e9-4c67-b957-ac8e5ffb2007
ex:Metric
—
labelbeam/b5ded869-64e9-4c67-b957-ac8e5ffb2007
custom metrics
—
typebeam/2edbd209-1414-4f96-bacd-45f57824d4a5
ex:MetricType
—
labelbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
custom metrics
—
includesbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
request latency
—
includesbeam/2edbd209-1414-4f96-bacd-45f57824d4a5
queue length
—
typebeam/e4168dae-bcb5-4dc1-85f3-135225b3e44f
ex:MonitoringFeature
—
usedForbeam/e4168dae-bcb5-4dc1-85f3-135225b3e44f
ex:track-performance-indicators
—
typebeam/9978289d-1122-46be-aed7-c3112d3dbb0c
ex:ConfigurableFeature
—
allowsCustomizationbeam/9978289d-1122-46be-aed7-c3112d3dbb0c
true
—
includesbeam/9978289d-1122-46be-aed7-c3112d3dbb0c
build times
—
includesbeam/9978289d-1122-46be-aed7-c3112d3dbb0c
test durations
—
includesTypebeam/9978289d-1122-46be-aed7-c3112d3dbb0c
ex:build-times
—
includesTypebeam/9978289d-1122-46be-aed7-c3112d3dbb0c
ex:test-durations
—
extendsbeam/9978289d-1122-46be-aed7-c3112d3dbb0c
ex:success-rate-tracking
—
typebeam/3d6d1b86-5d6a-4a63-a816-63cd3730b4c0
ex:CustomMeasurement
—
typebeam/9d297729-b7c4-4f83-9cec-f135edec024e
ex:metric-category
—
labelbeam/9d297729-b7c4-4f83-9cec-f135edec024e
custom metrics
—
typebeam/c515be1e-21ee-4ccc-b989-abe6d9a06477
ex:ApplicationMetrics
—
collectedForbeam/c515be1e-21ee-4ccc-b989-abe6d9a06477
ex:application
—
includesbeam/c515be1e-21ee-4ccc-b989-abe6d9a06477
ex:cache-hit-rate
—
includesbeam/c515be1e-21ee-4ccc-b989-abe6d9a06477
ex:cache-miss-rate
—
includesbeam/c515be1e-21ee-4ccc-b989-abe6d9a06477
ex:latency-metric
—
helpsbeam/c515be1e-21ee-4ccc-b989-abe6d9a06477
ex:performance-analysis
—
typebeam/b838d935-8abd-4a34-ba22-9cfdf0d24851
ex:Metric
—
labelbeam/b838d935-8abd-4a34-ba22-9cfdf0d24851
custom metrics
2023-02-11
descriptionlme/429a8525-650b-4a30-b4d2-7de934576d72
Create custom metrics to track progress towards your goals
References (10)
10 references
ctx:claims/beam/26d3b996-b57f-4597-8598-823905efa092- full textbeam-chunktext/plain1 KB
doc:beam/26d3b996-b57f-4597-8598-823905efa092Show excerpt
apiVersion: apps/v1 kind: Deployment name: retrieval-module minReplicas: 1 maxReplicas: 10 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 50 ``…
ctx:claims/beam/b5ded869-64e9-4c67-b957-ac8e5ffb2007- full textbeam-chunktext/plain1 KB
doc:beam/b5ded869-64e9-4c67-b957-ac8e5ffb2007Show excerpt
Kubernetes is designed to scale horizontally, which means you can add more nodes to your cluster to handle increased load. Consider: - **Auto-scaling**: Does Kubernetes support auto-scaling for your workloads? - **Horizontal Pod Autoscaler …
ctx:claims/beam/2edbd209-1414-4f96-bacd-45f57824d4a5- full textbeam-chunktext/plain1 KB
doc:beam/2edbd209-1414-4f96-bacd-45f57824d4a5Show excerpt
The Vertical Pod Autoscaler automatically adjusts the resource requests and limits of individual pods based on historical usage patterns. This can help optimize resource allocation and improve performance during peak loads. #### Example Co…
ctx:claims/beam/e4168dae-bcb5-4dc1-85f3-135225b3e44f- full textbeam-chunktext/plain1 KB
doc:beam/e4168dae-bcb5-4dc1-85f3-135225b3e44fShow excerpt
- **In-Memory Caches:** Use in-memory caches like Redis or Memcached to reduce database load and improve response times. ### 4. **Network Optimization** #### VPC and Subnets - **VPC Configuration:** Ensure your VPC is configured to optimi…
ctx:claims/beam/9978289d-1122-46be-aed7-c3112d3dbb0c- full textbeam-chunktext/plain1 KB
doc:beam/9978289d-1122-46be-aed7-c3112d3dbb0cShow excerpt
- Use a `try-catch` block to execute each stage and record whether it was successful or not. - Write the success rate (1 for success, 0 for failure) to a CSV file using the `writeFile` step. 2. **Plotting Metrics**: - Use the `plo…
ctx:claims/beam/3d6d1b86-5d6a-4a63-a816-63cd3730b4c0ctx:claims/beam/9d297729-b7c4-4f83-9cec-f135edec024e- full textbeam-chunktext/plain1 KB
doc:beam/9d297729-b7c4-4f83-9cec-f135edec024eShow excerpt
- You can add logging statements to capture detailed information about the pipeline's operation. - Logs can be sent to a centralized logging service like Google Cloud Logging. 3. **Integration with Monitoring Tools:** - You can in…
ctx:claims/beam/c515be1e-21ee-4ccc-b989-abe6d9a06477- full textbeam-chunktext/plain1 KB
doc:beam/c515be1e-21ee-4ccc-b989-abe6d9a06477Show excerpt
Configure Redis to log slow commands by setting the `slowlog-log-slower-than` and `slowlog-max-len` parameters in your Redis configuration file (`redis.conf`): ```ini slowlog-log-slower-than 10000 # Log commands slower than 10 millisecond…
ctx:claims/beam/b838d935-8abd-4a34-ba22-9cfdf0d24851- full textbeam-chunktext/plain1 KB
doc:beam/b838d935-8abd-4a34-ba22-9cfdf0d24851Show excerpt
- **Keyspace Metrics** - **Latency** - **Slow Log Entries** ### Conclusion By combining built-in Redis commands, monitoring tools, and custom metrics, you can effectively monitor your caching layer and identify performance bottlenecks. Reg…
ctx:claims/lme/429a8525-650b-4a30-b4d2-7de934576d72- full textbeam-chunktext/plain14 KB
doc:beam/429a8525-650b-4a30-b4d2-7de934576d72Show excerpt
[Session date: 2023/02/11 (Sat) 15:33] User: I'm trying to plan out my week and was wondering if you could suggest some productivity apps that can help me stay organized. Assistant: There are many productivity apps available that can help y…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.