Skip to main content

A CDK construct for implementing multi-AZ observability to detect single AZ impairments

Project description

Build Workflow Release Workflow GitHub Release

multi-az-observability

This is a CDK construct for multi-AZ observability to help detect single-AZ impairments. This is currently an alpha version, but is being used in the AWS Advanced Multi-AZ Resilience Patterns workshop.

There is a lot of available information to think through and combine to provide signals about single-AZ impact. To simplify the setup and use reasonable defaults, this construct (available in TypeScript, Go, Python, .NET, and Java) sets up the necessary observability. To use the CDK construct, you first define your service like this:

var wildRydesService = new Service(new ServiceProps(){
    ServiceName = "WildRydes",
    BaseUrl = "http://www.example.com",
    FaultCountThreshold = 25,
    AvailabilityZoneNames = vpc.AvailabilityZones,
    Period = Duration.Seconds(60),
    LoadBalancer = loadBalancer,
    DefaultAvailabilityMetricDetails = new ServiceAvailabilityMetricDetails(new ServiceAvailabilityMetricDetailsProps() {
        AlarmStatistic = "Sum",
        DatapointsToAlarm = 2,
        EvaluationPeriods = 3,
        FaultAlarmThreshold = 1,
        FaultMetricNames = new string[] { "Fault", "Failure" },
        GraphedFaultStatistics = new string[] { "Sum" },
        GraphedSuccessStatistics = new string[] { "Sum" },
        MetricNamespace = metricsNamespace,
        Period = Duration.Seconds(60),
        SuccessAlarmThreshold = 99,
        SuccessMetricNames = new string[] {"Success"},
        Unit = Unit.COUNT,
    }),
    DefaultLatencyMetricDetails = new ServiceLatencyMetricDetails(new ServiceLatencyMetricDetailsProps(){
        AlarmStatistic = "p99",
        DatapointsToAlarm = 2,
        EvaluationPeriods = 3,
        FaultMetricNames = new string[] { "FaultLatency" },
        GraphedFaultStatistics = new string[] { "p50" },
        GraphedSuccessStatistics = new string[] { "p50", "p99", "tm50", "tm99" },
        MetricNamespace = metricsNamespace,
        Period = Duration.Seconds(60),
        SuccessAlarmThreshold = Duration.Millis(100),
        SuccessMetricNames = new string[] {"SuccessLatency"},
        Unit = Unit.MILLISECONDS,
    }),
    DefaultContributorInsightRuleDetails =  new ContributorInsightRuleDetails(new ContributorInsightRuleDetailsProps() {
        AvailabilityZoneIdJsonPath = azIdJsonPath,
        FaultMetricJsonPath = faultMetricJsonPath,
        InstanceIdJsonPath = instanceIdJsonPath,
        LogGroups = serverLogGroups,
        OperationNameJsonPath = operationNameJsonPath,
        SuccessLatencyMetricJsonPath = successLatencyMetricJsonPath
    }),
    CanaryTestProps = new AddCanaryTestProps() {
        RequestCount = 60,
        RegionalRequestCount = 60,
        LoadBalancer = loadBalancer,
        Schedule = "rate(1 minute)",
        Timeout = Duration.Seconds(3),
        NetworkConfiguration = new NetworkConfigurationProps() {
            Vpc = vpc,
            SubnetSelection = new SubnetSelection() { SubnetType = SubnetType.PRIVATE_ISOLATED }
        }
    }
}

wildRydesService.AddOperation(new Operation(new OperationProps() {
    OperationName = "Signin",
    Path = "/signin",
    Service = wildRydesService,
    Critical = true,
    HttpMethods = new string[] { "GET" },
    ServerSideAvailabilityMetricDetails = new OperationAvailabilityMetricDetails(new OperationAvailabilityMetricDetailsProps() {
        OperationName = "Signin",
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Signin"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultAvailabilityMetricDetails),
    ServerSideLatencyMetricDetails = new OperationLatencyMetricDetails(new OperationLatencyMetricDetailsProps() {
        OperationName = "Signin",
        SuccessAlarmThreshold = Duration.Millis(150),
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Signin"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultLatencyMetricDetails),
    CanaryTestLatencyMetricsOverride = new CanaryTestLatencyMetricsOverride(new CanaryTestLatencyMetricsOverrideProps() {
        SuccessAlarmThreshold = Duration.Millis(500)
    })
})
wildRydesService.AddOperation(new Operation(new OperationProps() {
    OperationName = "Pay",
    Path = "/pay",
    Service = wildRydesService,
    HttpMethods = new string[] { "GET" },
    Critical = true,
    ServerSideAvailabilityMetricDetails = new OperationAvailabilityMetricDetails(new OperationAvailabilityMetricDetailsProps() {
        OperationName = "Pay",
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Pay"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultAvailabilityMetricDetails),
    ServerSideLatencyMetricDetails = new OperationLatencyMetricDetails(new OperationLatencyMetricDetailsProps() {
        OperationName = "Pay",
        SuccessAlarmThreshold = Duration.Millis(200),
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Pay"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultLatencyMetricDetails),
    CanaryTestLatencyMetricsOverride = new CanaryTestLatencyMetricsOverride(new CanaryTestLatencyMetricsOverrideProps() {
        SuccessAlarmThreshold = Duration.Millis(500)
    })
})
wildRydesService.AddOperation(new Operation(new OperationProps() {
    OperationName = "Ride",
    Path = "/ride",
    Service = wildRydesService,
    HttpMethods = new string[] { "GET" },
    Critical = true,
    ServerSideAvailabilityMetricDetails = new OperationAvailabilityMetricDetails(new OperationAvailabilityMetricDetailsProps() {
        OperationName = "Ride",
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Ride"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultAvailabilityMetricDetails),
    ServerSideLatencyMetricDetails = new OperationLatencyMetricDetails(new OperationLatencyMetricDetailsProps() {
        OperationName = "Ride",
        SuccessAlarmThreshold = Duration.Millis(350),
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Ride"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultLatencyMetricDetails),
    CanaryTestLatencyMetricsOverride = new CanaryTestLatencyMetricsOverride(new CanaryTestLatencyMetricsOverrideProps() {
        SuccessAlarmThreshold = Duration.Millis(650)
    })
})
wildRydesService.AddOperation(new Operation(new OperationProps() {
    OperationName = "Home",
    Path = "/home",
    Service = wildRydesService,
    HttpMethods = new string[] { "GET" },
    Critical = true,
    ServerSideAvailabilityMetricDetails = new OperationAvailabilityMetricDetails(new OperationAvailabilityMetricDetailsProps() {
        OperationName = "Home",
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Home"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultAvailabilityMetricDetails),
    ServerSideLatencyMetricDetails = new OperationLatencyMetricDetails(new OperationLatencyMetricDetailsProps() {
        OperationName = "Home",
        SuccessAlarmThreshold = Duration.Millis(100),
        MetricDimensions = new MetricDimensions(new Dictionary<string, string> {{ "Operation", "Home"}}, "AZ-ID", "Region")
    }, wildRydesService.DefaultLatencyMetricDetails),
    CanaryTestLatencyMetricsOverride = new CanaryTestLatencyMetricsOverride(new CanaryTestLatencyMetricsOverrideProps() {
        SuccessAlarmThreshold = Duration.Millis(500)
    })
}));

Then you provide that service definition to the CDK construct.

InstrumentedServiceMultiAZObservability multiAvailabilityZoneObservability = new InstrumentedServiceMultiAZObservability(this, "MultiAZObservability", new InstrumentedServiceMultiAZObservabilityProps() {
    Service = wildRydesService,
    CreateDashboards = true,
    Interval = Duration.Minutes(60), // The interval for the dashboard
    OutlierDetectionAlgorithm = OutlierDetectionAlgorithm.STATIC
});

You define some characteristics of the service, default values for metrics and alarms, and then add operations as well as any overrides for default values that you need. The construct can also automatically create synthetic canaries that test each operation with a very simple HTTP check, or you can configure your own synthetics and just tell the construct about the metric details and optionally log files. This creates metrics, alarms, and dashboards that can be used to detect single-AZ impact. You can access these alarms from the multiAvailabilityZoneObservability object and use them in your CDK project to start automation, send SNS notifications, or incorporate in your own dashboards.

If you don't have service specific logs and custom metrics with per-AZ dimensions, you can still use the construct to evaluate ALB and/or NAT Gateway metrics to find single AZ impairments.

BasicServiceMultiAZObservability multiAZObservability = new BasicServiceMultiAZObservability(this, "basic-service-", new BasicServiceMultiAZObservabilityProps() {
    ApplicationLoadBalancerProps = new ApplicationLoadBalancerDetectionProps() {
        ApplicationLoadBalancers = [ myALB ],
        LatencyStatistic = Stats.Percentile(99),
        FaultCountPercentThreshold = 1,
        LatencyThreshold = Duration.Millis(500)
    },
    NatGatewayProps = new NatGatewayDetectionProps() {
        PacketLossPercentThreshold = 0.01,
        NatGateways = {
           { "us-east-1a", [ natGateway1 ] },
           { "us-east-1b", [ natGateway2 ] },
           { "us-east-1c", [ natGateway3 ] }
        },
    },
    CreateDashboard = true,
    DatapointsToAlarm = 2,
    EvaluationPeriods = 3,
    ServiceName = "WildRydes",
    Period = Duration.Seconds(60),
    Interval = Duration.Minutes(60),
});

If you provide a load balancer, the construct assumes it is deployed in each AZ of the VPC the load balancer is associated with and will look for HTTP metrics using those AZs as dimensions.

Both options support running workloads on EC2, ECS, Lambda, and EKS.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cdklabs_multi_az_observability-0.0.1a52.tar.gz (77.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file cdklabs_multi_az_observability-0.0.1a52.tar.gz.

File metadata

File hashes

Hashes for cdklabs_multi_az_observability-0.0.1a52.tar.gz
Algorithm Hash digest
SHA256 84db15dfbd83a041beddff11f59cf2cbc07efe345a64bb3c6458a926cfec0584
MD5 5b88f1bb4a24e51a8d3ebe738f41bf73
BLAKE2b-256 91c79f93ea7f1114e5085a9f7672473cf5693eed32370cc14b7098605aba43f7

See more details on using hashes here.

File details

Details for the file cdklabs_multi_az_observability-0.0.1a52-py3-none-any.whl.

File metadata

File hashes

Hashes for cdklabs_multi_az_observability-0.0.1a52-py3-none-any.whl
Algorithm Hash digest
SHA256 9e269bbea2989ee3c7e252b3ab2678a9c654e0c1b8884bda1a34ecf8e490fd1e
MD5 a78f14582cf112c60bce140c67a21c22
BLAKE2b-256 086e9a1b488887e8738c772e6742f062f014d64e6169a31335cc75698ce44b2a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page