Update/kafka implementations

[NicholasTurner23]

Description

Clean up after a cleanup by rebasing.

Summary by CodeRabbit

• New Features

  • Standardized string formatting for nameOverride and fullnameOverride fields across multiple configuration files.

• Bug Fixes

  • No functional changes; adjustments were purely cosmetic for consistency in YAML formatting.

• Documentation

  • Improved clarity in configuration files without altering functionality or structure.

[coderabbitai]

📝 Walkthrough

Walkthrough

The changes across various Kubernetes configuration files primarily involve the formatting of the nameOverride and fullnameOverride fields, transitioning from single quotes to double quotes. This standardization does not impact functionality or structure. Other sections, including image configurations, resource limits, volume mounts, and service settings, remain unchanged across the files. The adjustments focus solely on string representation without altering any operational parameters or logic within the applications.

Changes

File Path	Change Summary
k8s/analytics/values-prod.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/auth-service/values-prod.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/device-registry/values-prod.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/exceedance/values-prod-airqo.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/exceedance/values-prod-kcca.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/predict/values-prod.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/workflows/values-prod.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.
k8s/workflows/values-stage.yaml	Updated nameOverride and fullnameOverride from single quotes to double quotes.

Poem

In YAML's realm, a change so slight,
Quotes transformed, now shining bright.
From single to double, a formatting spree,
Keeping our configs as neat as can be!
No logic altered, just a style so fine,
Kubernetes flows, all perfectly aligned! 🌟

---

📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Files that changed from the base of the PR and between fbb8141 and 61c6ead.

📒 Files selected for processing (8)

• k8s/analytics/values-prod.yaml (1 hunks)
• k8s/auth-service/values-prod.yaml (1 hunks)
• k8s/device-registry/values-prod.yaml (1 hunks)
• k8s/exceedance/values-prod-airqo.yaml (1 hunks)
• k8s/exceedance/values-prod-kcca.yaml (1 hunks)
• k8s/predict/values-prod.yaml (1 hunks)
• k8s/workflows/values-prod.yaml (1 hunks)
• k8s/workflows/values-stage.yaml (1 hunks)

✅ Files skipped from review due to trivial changes (7)

• k8s/analytics/values-prod.yaml
• k8s/auth-service/values-prod.yaml
• k8s/device-registry/values-prod.yaml
• k8s/exceedance/values-prod-airqo.yaml
• k8s/exceedance/values-prod-kcca.yaml
• k8s/predict/values-prod.yaml
• k8s/workflows/values-stage.yaml

🔇 Additional comments (2)

k8s/workflows/values-prod.yaml (2)

14-15: LGTM: Quote standardization aligns with YAML best practices.

The transition from single to double quotes for empty strings is consistent with YAML best practices and matches the standardization across other Kubernetes configuration files in this PR.

---

Line range hint 1-89: Consider documenting resource allocation rationale.

While the configuration is well-structured, it would be beneficial to document the reasoning behind the resource allocations, especially for production workloads. For example:

• Celery workers have high memory limits (4000Mi) which might be based on specific workload patterns
• Redis has relatively low resource requests but high limits, suggesting burst capacity planning

This documentation would help with future scaling decisions and maintenance.

Additionally, verify that the NodePort service configuration (ports 30036 and 30079) aligns with your cluster's security policies and network architecture.

✅ Verification successful

I'll analyze the NodePort service configurations across the codebase and look for any existing documentation about resource allocation patterns. This will help us provide a more comprehensive verification of both the port allocation and resource documentation aspects.

---

NodePort configuration and resource allocation appear well-structured across the cluster

The verification shows that:

• The NodePorts 30036 (web-server) and 30079 (redis-server) are uniquely allocated to the workflows service in production, with no conflicts across other services
• The resource allocation pattern follows a consistent strategy across the cluster:
  • Higher memory limits for data processing components (Celery: 4000Mi)
  • Conservative base requests with higher limits for burst capacity (Redis: 125Mi request, 3000Mi limit)
  • Similar patterns are used across other services in the cluster

The resource allocation appears to be part of a well-thought-out system design, where memory-intensive tasks are appropriately provisioned. While documentation would be beneficial, the consistent pattern across services suggests an intentional architecture decision rather than an oversight.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check for any other services using the same NodePort ranges
rg -l "nodePort: 300(36|79)" --type yaml

Length of output: 73

---

Script:

#!/bin/bash
# Let's check for any other NodePort configurations in the k8s manifests
rg "type:\s+NodePort" --type yaml -B 2 -A 10

# Also check for any documentation about resource allocation in READMEs or docs
fd -e md -e txt | xargs rg -i "resource|memory|cpu" -B 2 -A 2

Length of output: 21148

---

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