Article: 5 Things You Should Care About When You Deploy Your Solution to a Clustered Environmentpull/24073/head
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# 5 Things You Should Keep in Mind When Deploying to a Clustered Environment |
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Let’s be honest — moving from a single server to a cluster sounds simple on paper. |
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You just add a few more machines, right? |
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In practice, it’s the moment when small architectural mistakes start to grow legs. |
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Below are a few things that experienced engineers usually double-check before pressing that “Deploy” button. |
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## 1️⃣ Managing State the Right Way |
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Each request in a cluster might hit a different machine. |
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If your application keeps user sessions or cache in memory, that data probably won’t exist on the next node. |
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That’s why many teams decide to push state out of the app itself. |
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**A few real-world tips:** |
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- Keep sessions in **Redis** or something similar instead of local memory. |
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- Design endpoints so they don’t rely on earlier requests. |
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- Don’t assume the same server will handle two requests in a row — it rarely does. |
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## 2️⃣ Shared Files and Where to Put Them |
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Uploading files to local disk? That’s going to hurt in a cluster. |
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Other nodes can’t reach those files, and you’ll spend hours wondering why images disappear. |
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**Better habits:** |
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- Push uploads to **S3**, **Azure Blob**, or **Google Cloud Storage**. |
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- Send logs to a shared location instead of writing to local files. |
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- Keep environment configs in a central place so each node starts with the same settings. |
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## 3️⃣ Database Connections Aren’t Free |
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Every node opens its own database connections. |
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Ten nodes with twenty connections each — that’s already two hundred open sessions. |
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The database might not love that. |
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**What helps:** |
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- Put a cap on your connection pools. |
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- Avoid keeping transactions open for too long. |
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- Tune indexes and queries before scaling horizontally. |
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## 4️⃣ Logging and Observability Matter More Than You Think |
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When something breaks in a distributed system, it’s never obvious which server was responsible. |
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That’s why observability isn’t optional anymore. |
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**Consider this:** |
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- Stream logs to **ELK**, **Datadog**, or **Grafana Loki**. |
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- Add a **trace ID** to every incoming request and propagate it across services. |
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- Watch key metrics with **Prometheus** and visualize them in Grafana dashboards. |
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## 5️⃣ Background Jobs and Message Queues |
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If more than one node runs the same job, you might process the same data twice — or delete something by mistake. |
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You don’t want that kind of excitement in production. |
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**A few precautions:** |
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- Use a **distributed lock** or **leader election** system. |
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- Make jobs **idempotent**, so running them twice doesn’t break data. |
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- Centralize queue consumers or use a proper task scheduler. |
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## Wrapping Up |
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Deploying to a cluster isn’t only about scaling up — it’s about staying stable when you do. |
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Systems that handle state, logging, and background work correctly tend to age gracefully. |
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Everything else eventually learns the hard way. |
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> A cluster doesn’t fix design flaws — it magnifies them. |
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# 5 Things You Should Keep in Mind When Deploying to a Clustered Environment |
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|
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Let’s be honest — moving from a single server to a cluster sounds simple on paper. |
|||
You just add a few more machines, right? |
|||
In practice, it’s the moment when small architectural mistakes start to grow legs. |
|||
Below are a few things that experienced engineers usually double-check before pressing that “Deploy” button. |
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--- |
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## 1️⃣ Managing State the Right Way |
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## 2️⃣ Shared Files and Where to Put Them |
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## 3️⃣ Database Connections Aren’t Free |
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## 4️⃣ Logging and Observability Matter More Than You Think |
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## 5️⃣ Background Jobs and Message Queues |
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👉 Read the full guide here: [5 Things You Should Keep in Mind When Deploying to a Clustered Environment](https://abp.io/community/articles/) |
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