Advanced Patterns
The Matrix Framework provides several advanced patterns for complex distributed system scenarios.
Message Flow Patterns
Pipeline Processing
Messages can flow through a series of transformers and processors:
<Matrix xmlns="http://schemas.matrix.com/network/2024">
<Pipeline Name="OrderProcessing">
<Transformer Name="Validation">
<Rules>
<Required Path="order.customerId" />
<Required Path="order.items[*].productId" />
</Rules>
</Transformer>
<Processor Name="Enrichment">
<Lookups>
<ServiceLookup Path="customer"
Source="CustomerService" />
<ServiceLookup Path="inventory"
Source="InventoryService" />
</Lookups>
</Processor>
<Router Name="Distribution">
<Routes>
<Route When="order.type == 'standard'"
To="StandardProcessor" />
<Route When="order.type == 'express'"
To="ExpressProcessor" />
</Routes>
</Router>
</Pipeline>
</Matrix>State Synchronization
Services can maintain synchronized state using various consistency models:
public class StateReplication
{
public enum ConsistencyModel
{
Eventual,
Strong,
Causal
}
private readonly IStateStore _store;
private readonly IMessageBus _bus;
private readonly ConsistencyModel _model;
public async Task ReplicateStateAsync(
string path,
object value,
ConsistencyModel model)
{
switch (model)
{
case ConsistencyModel.Strong:
await ReplicateStronglyConsistentAsync(path, value);
break;
case ConsistencyModel.Eventual:
await ReplicateEventuallyConsistentAsync(path, value);
break;
case ConsistencyModel.Causal:
await ReplicateCausallyConsistentAsync(path, value);
break;
}
}
private async Task ReplicateStronglyConsistentAsync(
string path,
object value)
{
// Acquire distributed lock
using var @lock = await _lockProvider.AcquireAsync(path);
// Update all replicas
var replicas = await _topology.GetReplicasAsync(path);
foreach (var replica in replicas)
{
await replica.UpdateStateAsync(path, value);
await replica.ConfirmUpdateAsync(path);
}
// Release lock only after all replicas confirm
}
}Advanced Service Patterns
Circuit Breaker
Protect services from cascading failures:
public class CircuitBreaker
{
private readonly IHealthMonitor _monitor;
private readonly TimeSpan _resetTimeout;
private readonly int _failureThreshold;
public async Task<TResult> ExecuteAsync<TResult>(
Func<Task<TResult>> operation)
{
if (_monitor.IsOpen)
throw new CircuitBreakerOpenException();
try
{
var result = await operation();
_monitor.RecordSuccess();
return result;
}
catch (Exception ex)
{
_monitor.RecordFailure(ex);
if (_monitor.FailureCount >= _failureThreshold)
_monitor.OpenCircuit();
throw;
}
}
}Service Discovery
Dynamic service location and health tracking:
public class ServiceDiscovery
{
private readonly IServiceRegistry _registry;
private readonly ILoadBalancer _loadBalancer;
public async Task<ServiceEndpoint> LocateServiceAsync(
string serviceName,
ServiceRequirements requirements)
{
// Find all matching services
var candidates = await _registry.FindServicesAsync(
serviceName,
requirements);
// Filter by health status
var healthy = candidates.Where(
s => s.Health.Status == HealthStatus.Healthy);
// Apply load balancing
return _loadBalancer.SelectEndpoint(healthy);
}
public async Task RegisterServiceAsync(
ServiceDefinition definition)
{
// Register service
await _registry.RegisterAsync(definition);
// Start health checks
await _healthChecker.StartAsync(definition);
// Begin metrics collection
await _metrics.StartCollectionAsync(definition);
}
}State Machine
Services can implement complex state transitions:
public class ServiceStateMachine
{
private readonly Dictionary<string, StateTransition> _transitions;
private readonly IStateStore _store;
public async Task TransitionAsync(
string currentState,
string trigger)
{
var transition = _transitions[currentState];
if (!transition.CanHandle(trigger))
throw new InvalidTransitionException();
// Execute pre-transition actions
await transition.BeforeAsync();
// Perform state change
var newState = transition.Execute(trigger);
await _store.SaveStateAsync(newState);
// Execute post-transition actions
await transition.AfterAsync();
// Notify observers
await NotifyStateChangeAsync(currentState, newState);
}
}Resilience Patterns
Retry Policies
Implement sophisticated retry logic:
public class RetryPolicy
{
private readonly int _maxAttempts;
private readonly TimeSpan _delay;
private readonly IBackoffStrategy _backoff;
public async Task<TResult> ExecuteWithRetryAsync<TResult>(
Func<Task<TResult>> operation)
{
var attempts = 0;
var delay = _delay;
while (true)
{
try
{
return await operation();
}
catch (Exception ex) when (ShouldRetry(ex))
{
if (++attempts >= _maxAttempts)
throw;
await Task.Delay(delay);
delay = _backoff.NextDelay(delay);
}
}
}
}Bulkhead
Isolate service dependencies:
public class Bulkhead
{
private readonly SemaphoreSlim _semaphore;
private readonly int _maxParallelism;
private readonly TimeSpan _timeout;
public async Task ExecuteAsync(
Func<Task> operation)
{
if (!await _semaphore.WaitAsync(_timeout))
throw new BulkheadRejectedException();
try
{
await operation();
}
finally
{
_semaphore.Release();
}
}
}Best Practices
-
Message Processing
- Implement idempotency
- Handle message ordering
- Process messages asynchronously
- Implement dead letter queues
- Monitor processing latency
-
State Management
- Use appropriate consistency models
- Implement conflict resolution
- Handle partial failures
- Maintain audit trails
- Monitor replication lag
-
Service Resilience
- Implement circuit breakers
- Use appropriate retry policies
- Implement rate limiting
- Monitor service health
- Handle partial degradation
-
Performance
- Cache frequently accessed data
- Use appropriate serialization
- Implement batching
- Monitor resource usage
- Profile message processing