📄 Article 1: Orchestrating Resilience File Name: ssr-ha-nextjs.md Technical Focus: High-Availability Routing & SSR Interception markdown
The following diagram illustrates the flow from the client through the HA layer to the data persistence.
graph TD
User((User Browser)) -->|Port 443| LB[Next.js 15 SSR App]
subgraph Cluster[PostgreSQL HA Cluster]
HA[HAProxy VIP] -->|Port 5000: Write| P[Patroni Primary]
HA -->|Port 5001: Read| R1[Patroni Replica 1]
HA -->|Port 5001: Read| R2[Patroni Replica 2]
P --- E((etcd DCS))
R1 --- E
R2 --- E
end
LB -->|SSR Fetch| HA
Use code with caution.
🛠️ Technical Deep-Dive: The Patroni-etcd Handshake
In 2025, the "brain" of your database is the Distributed Configuration Store (DCS).
Leader Election: Patroni instances compete for a "leader key" in etcd with a TTL (Time-To-Live).
Health Monitoring: If the Primary fails to renew the TTL, etcd expires the key, triggering an automatic election among Replicas.
HAProxy Awareness: HAProxy performs Layer 7 checks against Patroni's REST API (Port 8008).
GET /primary -> Returns 200 OK only on the Leader.
GET /replica -> Returns 200 OK only on Standbys.
🎭 SSR Testing Specification
To test this in Next.js 15, we utilize the experimental test proxy. This allows Playwright to intercept requests at the Node.js level, simulating the HA cluster's behavior.
typescript
// next.config.ts configuration
const nextConfig = {
experimental: {
testProxy: true, // Intercepts server-side fetch calls
},
};
Use code with caution.
---
### 📄 Article 2: The Persistence Layer
**File Name:** `pgbackrest-sidecar.md`
**Technical Focus:** Physical Backups & WAL Archiving
```markdown
# The Ghost in the Machine: Mastering pgBackRest Sidecars
## 🔄 Data Durability Flow
This chart demonstrates how pgBackRest achieves Point-In-Time Recovery (PITR) without taxing the database CPU.
```mermaid
sequenceDiagram
participant DB as Postgres Primary
participant WAL as WAL Archiver
participant SC as pgBackRest Sidecar
participant S3 as S3 WORM Bucket
DB->>WAL: Generate WAL Segments
WAL->>SC: Push WAL (archive-push)
SC->>S3: Instant Sync to S3
Note over SC,S3: Continuous Protection
rect rgb(240, 240, 240)
Note right of SC: Weekly Full Backup
SC->>DB: Read Block Checksums
SC->>S3: Upload Compressed ZSTD Blocks
end
📝 Technical Comparison: 2025 Standard
Feature pg_dump (Logical) pgBackRest (Physical)
Recovery Type Re-inserts SQL data Restores binary blocks
PITR Support No Yes (to the millisecond)
Integrity Assumed Block-level CRC validation
RTO (Speed) Slow (Schema overhead) Fast (Parallel delta restore)
🛠️ Implementation Command
To restore to a specific point in time (PITR) for disaster recovery:
bash
pgbackrest --stanza=main --repo1-type=s3 --type=time "--target=2025-12-24 12:00:00" restore
Use code with caution.
---
### 📄 Article 3: The Verification Layer
**File Name:** `acid-test-automation.md`
**Technical Focus:** DevSecOps Automation
```markdown
# Proving Integrity: The "Acid Test" for Backups
## 🤖 GitHub Actions Workflow Chart
How we automate the "0-Errors" rule using ephemeral runners.
```mermaid
flowchart LR
A[Schedule: 02:00] --> B[Spin up Ubuntu Runner]
B --> C[Install pgBackRest]
C --> D{Acid Test: --dry-run}
D -->|Success| E[Promote to Verified Bucket]
D -->|Failure| F[Alert Dev Team via Slack]
E --> G[Terminate Runner]
F --> G
🔬 Technical Specification: --dry-run validation
The restore --dry-run command is critical because it performs a full restore simulation:
Manifest Check: Validates that all required WAL segments exist on S3.
Checksum Verification: Recalculates block-level hashes to ensure no bit-rot occurred in storage.
Timeline Alignment: Ensures the database can successfully "replay" logs to reach a consistent state.
---
### 📄 Article 4: The Data Bridge
**File Name:** `strapi-nextjs-fetching.md`
**Technical Focus:** Next.js 15 Server-Side Rendering & Caching
```markdown
# High-Performance Data Fetching: Strapi 5 + Next.js 15
## ⚡ Revalidation Sequence
How to maintain sub-second content updates without the performance penalty of polling.
```mermaid
sequenceDiagram
participant Editor as Strapi Admin
participant S as Strapi API
participant W as Webhook Handler
participant N as Next.js 15 (Cache)
Editor->>S: Update Content & Publish
S->>W: POST /api/revalidate
W->>N: revalidateTag('strapi')
Note right of N: Next request will fetch fresh data
🛠️ Technical Implementation: Strapi 5 Querying
Strapi 5 introduced the on operator for polymorphic dynamic zones. Use it in your fetch logic to reduce payload size.
typescript
// Next.js 15 Server Component Example
const { data } = await fetch(`${process.env.STRAPI_URL}/api/home?populate[blocks][on][component.hero]=*`, {
next: { tags: ['strapi'] } // Required for on-demand revalidation
});
Use code with caution.
📊 Performance Impact (2025 Benchmarks)
Static Render: 0ms (Cache hit)
Dynamic Render (SSR): ~50ms - 150ms (Node-to-DB latency)
Revalidation Window: < 200ms (Webhook to cache purge)
---
### 🚀 Final Deployment Step
When you add these to your **GitHub Gist**:
1. Create one Gist per file name provided above.
2. The Gist will automatically render the `mermaid` blocks into high-quality diagrams.
3. Your professional profile will now feature architecturally sound, visually impressive technical documentation.
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