Pronouncing tech words

Let me explain the architecture.

The email is sent asynchronously.

Authentication is handled by the gateway.

Authorization checks happen in each service.

We deploy to Azure.

Logging became a bottleneck under heavy load.

Let's put a cache in front of the database.

The column is a char of length ten.

We need to handle concurrency carefully.

The data is replicated across regions.

The database is the bottleneck.

We deploy twice a day.

This API is deprecated.

Call the health check endpoint.

Status is stored as an enum.

The staging environment is down.

The system must be fault-tolerant.

The mobile app uses GraphQL.

Internal services talk over gRPC.

The class hierarchy is too deep.

The payment endpoint must be idempotent.

The ID is a 64-bit integer.

The API returns JSON.

Events are published to Kafka.

We run everything on Kubernetes.

The p99 latency is around 300 milliseconds.

All our servers run Linux.

We split the monolith into microservices.

Auth is handled in middleware.

Nginx sits in front of the API.

Users sign in with OAuth.

The payload is too large.

We store all orders in PostgreSQL.

The job goes into a queue first.

Session data lives in Redis.

A simple regex can validate the format.

Retries improve resilience.

What's the rollback plan?

Add a new route for the health check.

The router sends the request to the right handler.

Scalability is our main concern.

We need to update the database schema.

It's just a simple SQL query.

You need sudo to install it.

The test suite takes ten minutes.

Throughput dropped after the deploy.

The function returns a tuple.

The server runs Ubuntu.

Set the width to 100 percent.

The config is in a YAML file.