The document discusses various distributed system patterns and concepts including microservices, CQRS, event sourcing, queues, circuit breakers, and retries. It also mentions fallacies of distributed computing and the CAP theorem. There are code examples for implementing retries and circuit breakers in Java as well as health checks. Distributed system issues like errors, timeouts, and failure recovery are also addressed.
9. 1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
10. 1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
11. 1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.
12. 1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.
6)There is one administrator.
13. 1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.
6)There is one administrator.
7)Transport cost is zero.
14. 1)The network is reliable.
2)Latency is zero.
3)Bandwidth is infnite.
4)The network is secure.
5)Topology doesn't change.
6)There is one administrator.
7)Transport cost is zero.
8)The network is homogeneous.
37. @Component
public class HealthCheck implements HealthIndicator {
@Override
public Health health() {
int errorCode = check();
if (errorCode != 0) {
return Health.down()
.withDetail("Error Code", errorCode).build();
}
return Health.up().build();
}
public int check() {
return 0;
}
}
38. @Component
public class HealthCheck implements HealthIndicator {
@Override
public Health health() {
int errorCode = check();
if (errorCode != 0) {
return Health.down()
.withDetail("Error Code", errorCode).build();
}
return Health.up().build();
}
public int check() {
return 0;
}
}