| Type | Definition | Characteristics | Use Cases | Best Practices
RA (Roman Glushach) EliFuzz
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EliFuzz
/ Table Overview: Kubernetes StatefulSet Level.md
Created
September 8, 2023 22:54
Table Overview: Kubernetes StatefulSet Level
EliFuzz
/ Table Overview: Kubernetes Pod-Scoped Volumes.md
Created
September 8, 2023 22:51
Table Overview: Kubernetes Pod-Scoped Volumes
| Type | Definition | Characteristics | Use Cases | Best Practices
EliFuzz
/ Table Overview: Kubernetes Cluster-Scoped Volumes.md
Created
September 8, 2023 22:48
Table Overview: Kubernetes Cluster-Scoped Volumes
| Type | Definition | Characteristics | Use Cases
EliFuzz
/ Table Overview: Challenges of Machine Learning in Predictive Autoscaling.md
Last active
September 6, 2023 07:58
Table Overview: Challenges of Machine Learning in Predictive Autoscaling
| Aspect | Description |
|---|---|
| Continuous Improvement | Need for continuous updates and refinements to maintain accuracy and effectiveness of machine learning models in a rapidly changing environment |
| Cost | Training the model can be quite costly |
EliFuzz
/ Table Overview: Benefits of Machine Learning in Predictive Autoscaling.md
Created
September 6, 2023 07:54
Table Overview: Benefits of Machine Learning in Predictive Autoscaling
| Aspect | Description |
|---|---|
| Better Resource Utilization | Accurate forecasting of demand enables optimization of resource utilization, ensuring resources are fully utilized without being overwhelmed |
| Competitive Advantage | Organizations that adopt predictive autoscaling using machine learning gain a competitive advantage by being able to rapidly respond to changing market dynamics and customer needs |
| Cost Optimization | Predictive autoscaling enabled by machine learning can lead to significant cost savings by matching resource supply with demand, av |
EliFuzz
/ Comparison Table: HPA vs VPA for Autoscaling Stateful Applications.md
Created
September 6, 2023 07:37
Comparison Table: HPA vs VPA for Autoscaling Stateful Applications
| Category | HPA (Horizontal Pod Autoscaling) | VPA (Vertical Pod Autoscaling) |
|---|---|---|
| Data Consistency | Can cause data inconsistency if it scales down a pod that is still processing requests or updating data | Can cause data inconsistency if it restarts a pod that is still processing requests or updating data |
| Data Availability | Can cause data unavailability if it scales down a pod that is holding a lock or a leader role | Can cause data unavailability if it restarts a pod that is holding a lock or a leader role |
| Data Migration | Can cause dat |
EliFuzz
/ Table Overview: Best Practices for Implementing Kubernetes Autoscaling.md
Created
September 6, 2023 06:48
Table Overview: Best Practices for Implementing Kubernetes Autoscaling
| Aspect | Description | Best Practice |
|---|---|---|
| Avoiding over-provisioning and under-provisioning | Track provisioned resources (e.g., CPU, memory, storage) and compare them to actual usage. Analyze trends to identify patterns and adjust autoscaling configurations |
EliFuzz
/ Overview Table:Tracing in Kubernetes .md
Created
September 5, 2023 03:01
Overview Table:Tracing in Kubernetes
| Level | Definition | Issues | Key Metrics | | ------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
EliFuzz
/ Overview Table: Logging in Kubernetes.md
Created
September 5, 2023 02:42
Overview Table: Logging in Kubernetes
| Level | Definition | Issues | Key Metrics |
|---|---|---|---|
| Application-Level Logging | Logging of application-specific events, errors, and activities | - Lack of standardized logging practices across applications- Difficulty in identifying and troubleshooting application-specific issues | - Application errors and exceptions - User interactions - Perf |
EliFuzz
/ Overview Table: Monitoring in Kubernetes.md
Created
September 5, 2023 02:20
Overview Table: Monitoring in Kubernetes
| Level | Definition | Issues | Key Metrics | | ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------