When you enable the Kinesis indexing service, you can configure *supervisors* on the Overlord to manage the creation and lifetime of Kinesis indexing tasks. These indexing tasks read events using Kinesis' own shard and sequence number mechanism to guarantee exactly-once ingestion. The supervisor oversees the state of the indexing tasks to:
- coordinate handoffs
- manage failures
- ensure that scalability and replication requirements are maintained.
To use the Kinesis indexing service, load the `druid-kinesis-indexing-service` extension on both the Overlord and the MiddleManagers. Druid starts a supervisor for a dataSource when you submit a supervisor spec. Submit your supervisor spec to the following endpoint:
|`dataSchema`|The schema that will be used by the Kinesis indexing task during ingestion. See [`dataSchema`](../../ingestion/ingestion-spec.md#dataschema).|yes|
|`ioConfig`|A KinesisSupervisorIOConfig object for configuring Kinesis connection and I/O-related settings for the supervisor and indexing task. See [KinesisSupervisorIOConfig](#kinesissupervisorioconfig) below.|yes|
|`tuningConfig`|A KinesisSupervisorTuningConfig object for configuring performance-related settings for the supervisor and indexing tasks. See [KinesisSupervisorTuningConfig](#kinesissupervisortuningconfig) below.|no|
|`inputFormat`|Object|[`inputFormat`](../../ingestion/data-formats.md#input-format) to specify how to parse input data. See [Specifying data format](#specifying-data-format) for details about specifying the input format.|yes|
|`endpoint`|String|The AWS Kinesis stream endpoint for a region. You can find a list of endpoints [here](http://docs.aws.amazon.com/general/latest/gr/rande.html#ak_region).|no (default == kinesis.us-east-1.amazonaws.com)|
|`replicas`|Integer|The number of replica sets, where 1 means a single set of tasks (no replication). Replica tasks will always be assigned to different workers to provide resiliency against process failure.|no (default == 1)|
|`taskCount`|Integer|The maximum number of *reading* tasks in a *replica set*. This means that the maximum number of reading tasks will be `taskCount * replicas` and the total number of tasks (*reading* + *publishing*) will be higher than this. See [Capacity Planning](#capacity-planning) below for more details. The number of reading tasks will be less than `taskCount` if `taskCount > {numKinesisShards}`.|no (default == 1)|
|`taskDuration`|ISO8601 Period|The length of time before tasks stop reading and begin publishing their segment.|no (default == PT1H)|
|`startDelay`|ISO8601 Period|The period to wait before the supervisor starts managing tasks.|no (default == PT5S)|
|`period`|ISO8601 Period|How often the supervisor will execute its management logic. Note that the supervisor will also run in response to certain events (such as tasks succeeding, failing, and reaching their taskDuration) so this value specifies the maximum time between iterations.|no (default == PT30S)|
|`useEarliestSequenceNumber`|Boolean|If a supervisor is managing a dataSource for the first time, it will obtain a set of starting sequence numbers from Kinesis. This flag determines whether it retrieves the earliest or latest sequence numbers in Kinesis. Under normal circumstances, subsequent tasks will start from where the previous segments ended so this flag will only be used on first run.|no (default == false)|
|`completionTimeout`|ISO8601 Period|The length of time to wait before declaring a publishing task as failed and terminating it. If this is set too low, your tasks may never publish. The publishing clock for a task begins roughly after `taskDuration` elapses.|no (default == PT6H)|
|`lateMessageRejectionPeriod`|ISO8601 Period|Configure tasks to reject messages with timestamps earlier than this period before the task was created; for example if this is set to `PT1H` and the supervisor creates a task at *2016-01-01T12:00Z*, messages with timestamps earlier than *2016-01-01T11:00Z* will be dropped. This may help prevent concurrency issues if your data stream has late messages and you have multiple pipelines that need to operate on the same segments (e.g. a realtime and a nightly batch ingestion pipeline).|no (default == none)|
|`earlyMessageRejectionPeriod`|ISO8601 Period|Configure tasks to reject messages with timestamps later than this period after the task reached its taskDuration; for example if this is set to `PT1H`, the taskDuration is set to `PT1H` and the supervisor creates a task at *2016-01-01T12:00Z*. Messages with timestamps later than *2016-01-01T14:00Z* will be dropped. **Note:** Tasks sometimes run past their task duration, for example, in cases of supervisor failover. Setting `earlyMessageRejectionPeriod` too low may cause messages to be dropped unexpectedly whenever a task runs past its originally configured task duration.|no (default == none)|
|`recordsPerFetch`|Integer|The number of records to request per call to fetch records from Kinesis. See [Determining fetch settings](#determining-fetch-settings).|no (default == 4000)|
|`fetchDelayMillis`|Integer|Time in milliseconds to wait between subsequent calls to fetch records from Kinesis. See [Determining fetch settings](#determining-fetch-settings).|no (default == 0)|
|`autoScalerConfig`|Object|Defines auto scaling behavior for Kinesis ingest tasks. See [Tasks Autoscaler Properties](#task-autoscaler-properties).|no (default == null)|
| `enableTaskAutoScaler` | Enable or disable the auto scaler. When false or absent, Druid disables the `autoScaler` even when `autoScalerConfig` is not null.| no (default == false) |
| `taskCountMax` | Maximum number of Kinesis ingestion tasks. Must be greater than or equal to `taskCountMin`. If greater than `{numKinesisShards}`, the maximum number of reading tasks is `{numKinesisShards}` and `taskCountMax` is ignored. | yes |
| `taskCountMin` | Minimum number of Kinesis ingestion tasks. When you enable the auto scaler, Druid ignores the value of taskCount in `IOConfig` and uses`taskCountMin` for the initial number of tasks to launch.| yes |
| `minTriggerScaleActionFrequencyMillis` | Minimum time interval between two scale actions | no (default == 600000) |
| `autoScalerStrategy` | The algorithm of `autoScaler`. ONLY `lagBased` is supported for now. See [Lag Based AutoScaler Strategy Related Properties](#lag-based-autoscaler-strategy-related-properties) for details.| no (default == `lagBased`) |
The Kinesis indexing service reports lag metrics measured in time milliseconds rather than message count which is used by Kafka.
| Property | Description | Required |
| ------------- | ------------- | ------------- |
| `lagCollectionIntervalMillis` | Period of lag points collection. | no (default == 30000) |
| `lagCollectionRangeMillis` | The total time window of lag collection, Use with `lagCollectionIntervalMillis`，it means that in the recent `lagCollectionRangeMillis`, collect lag metric points every `lagCollectionIntervalMillis`. | no (default == 600000) |
| `scaleOutThreshold` | The Threshold of scale out action | no (default == 6000000) |
| `triggerScaleOutFractionThreshold` | If `triggerScaleOutFractionThreshold` percent of lag points are higher than `scaleOutThreshold`, then do scale out action. | no (default == 0.3) |
| `scaleInThreshold` | The Threshold of scale in action | no (default == 1000000) |
| `triggerScaleInFractionThreshold` | If `triggerScaleInFractionThreshold` percent of lag points are lower than `scaleOutThreshold`, then do scale in action. | no (default == 0.9) |
| `scaleActionStartDelayMillis` | Number of milliseconds to delay after the supervisor starts before the first scale logic check. | no (default == 300000) |
| `scaleActionPeriodMillis` | Frequency in milliseconds to check if a scale action is triggered | no (default == 60000) |
| `scaleInStep` | Number of tasks to reduce at a time when scaling down | no (default == 1) |
| `scaleOutStep` | Number of tasks to add at a time when scaling out | no (default == 2) |
The following example demonstrates a supervisor spec with `lagBased` autoScaler enabled:
Kinesis indexing service supports both [`inputFormat`](../../ingestion/data-formats.md#input-format) and [`parser`](../../ingestion/data-formats.md#parser) to specify the data format.
For more information, see [Data formats](../../ingestion/data-formats.md). You can also read [`thrift`](../extensions-contrib/thrift.md) formats using `parser`.
| `type` | String | The indexing task type, this should always be `kinesis`. | yes |
| `maxRowsInMemory` | Integer | The number of rows to aggregate before persisting. This number is the post-aggregation rows, so it is not equivalent to the number of input events, but the number of aggregated rows that those events result in. This is used to manage the required JVM heap size. Maximum heap memory usage for indexing scales with maxRowsInMemory * (2 + maxPendingPersists). | no (default == 100000) |
| `maxBytesInMemory` | Long | The number of bytes to aggregate in heap memory before persisting. This is based on a rough estimate of memory usage and not actual usage. Normally this is computed internally and user does not need to set it. The maximum heap memory usage for indexing is maxBytesInMemory * (2 + maxPendingPersists). | no (default == One-sixth of max JVM memory) |
| `maxRowsPerSegment` | Integer | The number of rows to aggregate into a segment; this number is post-aggregation rows. Handoff will happen either if `maxRowsPerSegment` or `maxTotalRows` is hit or every `intermediateHandoffPeriod`, whichever happens earlier. | no (default == 5000000) |
| `maxTotalRows` | Long | The number of rows to aggregate across all segments; this number is post-aggregation rows. Handoff will happen either if `maxRowsPerSegment` or `maxTotalRows` is hit or every `intermediateHandoffPeriod`, whichever happens earlier. | no (default == unlimited) |
| `intermediatePersistPeriod` | ISO8601 Period | The period that determines the rate at which intermediate persists occur. | no (default == PT10M) |
| `maxPendingPersists` | Integer | Maximum number of persists that can be pending but not started. If this limit would be exceeded by a new intermediate persist, ingestion will block until the currently-running persist finishes. Maximum heap memory usage for indexing scales with maxRowsInMemory * (2 + maxPendingPersists). | no (default == 0, meaning one persist can be running concurrently with ingestion, and none can be queued up) |
| `indexSpec` | Object | Tune how data is indexed. See [IndexSpec](#indexspec) for more information. | no |
| `indexSpecForIntermediatePersists` | | Defines segment storage format options to be used at indexing time for intermediate persisted temporary segments. This can be used to disable dimension/metric compression on intermediate segments to reduce memory required for final merging. However, disabling compression on intermediate segments might increase page cache use while they are used before getting merged into final segment published, see [IndexSpec](#indexspec) for possible values. | no (default = same as indexSpec) |
| `reportParseExceptions` | Boolean | If true, exceptions encountered during parsing will be thrown and will halt ingestion; if false, unparseable rows and fields will be skipped. | no (default == false) |
| `handoffConditionTimeout` | Long | Milliseconds to wait for segment handoff. It must be >= 0, where 0 means to wait forever. | no (default == 0) |
| `resetOffsetAutomatically` | Boolean | Controls behavior when Druid needs to read Kinesis messages that are no longer available.<br/><br/>If false, the exception will bubble up, which will cause your tasks to fail and ingestion to halt. If this occurs, manual intervention is required to correct the situation; potentially using the [Reset Supervisor API](../../operations/api-reference.md#supervisors). This mode is useful for production, since it will make you aware of issues with ingestion.<br/><br/>If true, Druid will automatically reset to the earlier or latest sequence number available in Kinesis, based on the value of the `useEarliestSequenceNumber` property (earliest if true, latest if false). Please note that this can lead to data being _DROPPED_ (if `useEarliestSequenceNumber` is false) or _DUPLICATED_ (if `useEarliestSequenceNumber` is true) without your knowledge. Messages will be logged indicating that a reset has occurred, but ingestion will continue. This mode is useful for non-production situations, since it will make Druid attempt to recover from problems automatically, even if they lead to quiet dropping or duplicating of data. | no (default == false) |
| `skipSequenceNumberAvailabilityCheck` | Boolean | Whether to enable checking if the current sequence number is still available in a particular Kinesis shard. If set to false, the indexing task will attempt to reset the current sequence number (or not), depending on the value of `resetOffsetAutomatically`. | no (default == false) |
| `workerThreads` | Integer | The number of threads that the supervisor uses to handle requests/responses for worker tasks, along with any other internal asynchronous operation. | no (default == min(10, taskCount)) |
| `chatThreads` | Integer | The number of threads that will be used for communicating with indexing tasks. | no (default == min(10, taskCount * replicas)) |
| `chatRetries` | Integer | The number of times HTTP requests to indexing tasks will be retried before considering tasks unresponsive. | no (default == 8) |
| `httpTimeout` | ISO8601 Period | How long to wait for a HTTP response from an indexing task. | no (default == PT10S) |
| `shutdownTimeout` | ISO8601 Period | How long to wait for the supervisor to attempt a graceful shutdown of tasks before exiting. | no (default == PT80S) |
| `recordBufferSize` | Integer | Size of the buffer (number of events) used between the Kinesis fetch threads and the main ingestion thread. | no (default == 10000) |
| `recordBufferOfferTimeout` | Integer | Length of time in milliseconds to wait for space to become available in the buffer before timing out. | no (default == 5000) |
| `recordBufferFullWait` | Integer | Length of time in milliseconds to wait for the buffer to drain before attempting to fetch records from Kinesis again. | no (default == 5000) |
| `fetchSequenceNumberTimeout` | Integer | Length of time in milliseconds to wait for Kinesis to return the earliest or latest sequence number for a shard. Kinesis will not return the latest sequence number if no data is actively being written to that shard. In this case, this fetch call will repeatedly timeout and retry until fresh data is written to the stream. | no (default == 60000) |
| `fetchThreads` | Integer | Size of the pool of threads fetching data from Kinesis. There is no benefit in having more threads than Kinesis shards. | no (default == procs * 2, where "procs" is the number of processors on the server that the task is running on) |
| `segmentWriteOutMediumFactory` | Object | Segment write-out medium to use when creating segments. See below for more information. | no (not specified by default, the value from `druid.peon.defaultSegmentWriteOutMediumFactory.type` is used) |
| `intermediateHandoffPeriod` | ISO8601 Period | How often the tasks should hand off segments. Handoff will happen either if `maxRowsPerSegment` or `maxTotalRows` is hit or every `intermediateHandoffPeriod`, whichever happens earlier. | no (default == P2147483647D) |
| `logParseExceptions` | Boolean | If true, log an error message when a parsing exception occurs, containing information about the row where the error occurred. | no, default == false |
| `maxParseExceptions` | Integer | The maximum number of parse exceptions that can occur before the task halts ingestion and fails. Overridden if `reportParseExceptions` is set. | no, unlimited default |
| `maxSavedParseExceptions` | Integer | When a parse exception occurs, Druid can keep track of the most recent parse exceptions. "maxSavedParseExceptions" limits how many exception instances will be saved. These saved exceptions will be made available after the task finishes in the [task completion report](../../ingestion/tasks.md#task-reports). Overridden if `reportParseExceptions` is set. | no, default == 0 |
| `maxRecordsPerPoll` | Integer | The maximum number of records/events to be fetched from buffer per poll. The actual maximum will be `Max(maxRecordsPerPoll, Max(bufferSize, 1))` | no, default == 100 |
| `repartitionTransitionDuration` | ISO8601 Period | When shards are split or merged, the supervisor will recompute shard -> task group mappings, and signal any running tasks created under the old mappings to stop early at (current time + `repartitionTransitionDuration`). Stopping the tasks early allows Druid to begin reading from the new shards more quickly. The repartition transition wait time controlled by this property gives the stream additional time to write records to the new shards after the split/merge, which helps avoid the issues with empty shard handling described at https://github.com/apache/druid/issues/7600. | no, (default == PT2M) |
| `offsetFetchPeriod` | ISO8601 Period | How often the supervisor queries Kinesis and the indexing tasks to fetch current offsets and calculate lag. If the user-specified value is below the minimum value (`PT5S`), the supervisor ignores the value and uses the minimum value instead. | no (default == PT30S, min == PT5S) |
| `useListShards` | Boolean | Indicates if `listShards` API of AWS Kinesis SDK can be used to prevent `LimitExceededException` during ingestion. Please note that the necessary `IAM` permissions must be set for this to work.| no (default == false) |
|bitmap|Object|Compression format for bitmap indexes. Should be a JSON object. See [Bitmap types](#bitmap-types) below for options.|no (defaults to Roaring)|
|metricCompression|String|Compression format for primitive type metric columns. Choose from `LZ4`, `LZF`, `uncompressed`, or `none`.|no (default == `LZ4`)|
|longEncoding|String|Encoding format for metric and dimension columns with type long. Choose from `auto` or `longs`. `auto` encodes the values using sequence number or lookup table depending on column cardinality, and store them with variable size. `longs` stores the value as is with 8 bytes each.|no (default == `longs`)|
|`type`|String|See [Additional Peon Configuration: SegmentWriteOutMediumFactory](../../configuration/index.md#segmentwriteoutmediumfactory) for explanation and available options.|yes|
look for credentials set in environment variables, via [Web Identity Token](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html), in the default profile configuration file, and from the EC2 instance
Indexing Service, Kinesis reports lag metrics measured in time difference in milliseconds between the current sequence number and latest sequence number, rather than message count.
The status report also contains the supervisor's state and a list of recently thrown exceptions (reported as
`recentErrors`, whose max size can be controlled using the `druid.supervisor.maxStoredExceptionEvents` configuration).
There are two fields related to the supervisor's state - `state` and `detailedState`. The `state` field will always be
one of a small number of generic states that are applicable to any type of supervisor, while the `detailedState` field
will contain a more descriptive, implementation-specific state that may provide more insight into the supervisor's
activities than the generic `state` field.
The list of possible `state` values are: [`PENDING`, `RUNNING`, `SUSPENDED`, `STOPPING`, `UNHEALTHY_SUPERVISOR`, `UNHEALTHY_TASKS`]
The list of `detailedState` values and their corresponding `state` mapping is as follows:
|Detailed State|Corresponding State|Description|
|--------------|-------------------|-----------|
|UNHEALTHY_SUPERVISOR|UNHEALTHY_SUPERVISOR|The supervisor has encountered errors on the past `druid.supervisor.unhealthinessThreshold` iterations|
|UNHEALTHY_TASKS|UNHEALTHY_TASKS|The last `druid.supervisor.taskUnhealthinessThreshold` tasks have all failed|
|UNABLE_TO_CONNECT_TO_STREAM|UNHEALTHY_SUPERVISOR|The supervisor is encountering connectivity issues with Kinesis and has not successfully connected in the past|
|LOST_CONTACT_WITH_STREAM|UNHEALTHY_SUPERVISOR|The supervisor is encountering connectivity issues with Kinesis but has successfully connected in the past|
|PENDING (first iteration only)|PENDING|The supervisor has been initialized and hasn't started connecting to the stream|
|CONNECTING_TO_STREAM (first iteration only)|RUNNING|The supervisor is trying to connect to the stream and update partition data|
|DISCOVERING_INITIAL_TASKS (first iteration only)|RUNNING|The supervisor is discovering already-running tasks|
|CREATING_TASKS (first iteration only)|RUNNING|The supervisor is creating tasks and discovering state|
|RUNNING|RUNNING|The supervisor has started tasks and is waiting for taskDuration to elapse|
|SUSPENDED|SUSPENDED|The supervisor has been suspended|
|STOPPING|STOPPING|The supervisor is stopping|
On each iteration of the supervisor's run loop, the supervisor completes the following tasks in sequence:
1) Fetch the list of shards from Kinesis and determine the starting sequence number for each shard (either based on the
last processed sequence number if continuing, or starting from the beginning or ending of the stream if this is a new stream).
2) Discover any running indexing tasks that are writing to the supervisor's datasource and adopt them if they match
the supervisor's configuration, else signal them to stop.
3) Send a status request to each supervised task to update our view of the state of the tasks under our supervision.
4) Handle tasks that have exceeded `taskDuration` and should transition from the reading to publishing state.
5) Handle tasks that have finished publishing and signal redundant replica tasks to stop.
6) Handle tasks that have failed and clean up the supervisor's internal state.
7) Compare the list of healthy tasks to the requested `taskCount` and `replicas` configurations and create additional tasks if required.
The `detailedState` field will show additional values (those marked with "first iteration only") the first time the
supervisor executes this run loop after startup or after resuming from a suspension. This is intended to surface
initialization-type issues, where the supervisor is unable to reach a stable state (perhaps because it can't connect to
Kinesis, it can't read from the stream, or it can't communicate with existing tasks). Once the supervisor is stable -
that is, once it has completed a full execution without encountering any issues - `detailedState` will show a `RUNNING`
state until it is stopped, suspended, or hits a failure threshold and transitions to an unhealthy state.
`POST /druid/indexer/v1/supervisor` can be used to update existing supervisor spec.
Calling this endpoint when there is already an existing supervisor for the same dataSource will cause:
- The running supervisor to signal its managed tasks to stop reading and begin publishing.
- The running supervisor to exit.
- A new supervisor to be created using the configuration provided in the request body. This supervisor will retain the
existing publishing tasks and will create new tasks starting at the sequence numbers the publishing tasks ended on.
Seamless schema migrations can thus be achieved by simply submitting the new schema using this endpoint.
### Suspending and Resuming Supervisors
You can suspend and resume a supervisor using `POST /druid/indexer/v1/supervisor/<supervisorId>/suspend` and `POST /druid/indexer/v1/supervisor/<supervisorId>/resume`, respectively.
Note that the supervisor itself will still be operating and emitting logs and metrics,
it will just ensure that no indexing tasks are running until the supervisor is resumed.
Internally, the Kinesis Indexing Service uses the Kinesis Record Supplier abstraction for fetching Kinesis data records and storing the records
locally. The way the Kinesis Record Supplier fetches records is to have a separate thread run the fetching operation per each Kinesis Shard, the
max number of threads is determined by `fetchThreads`. For example, a Kinesis stream with 3 shards will have 3 threads, each fetching from a shard separately.
There is a delay between each fetching operation, which is controlled by `fetchDelayMillis`. The maximum number of records to be fetched per thread per
operation is controlled by `recordsPerFetch`. Note that this is not the same as `maxRecordsPerPoll`.
The records fetched by each thread will be pushed to a queue in the order that they are fetched. The records are stored in this queue until `poll()` is called
by either the supervisor or the indexing task. `poll()` will attempt to drain the internal buffer queue up to a limit of `max(maxRecordsPerPoll, q.size())`.
Here `maxRecordsPerPoll` controls the theoretical maximum records to drain out of the buffer queue, so setting this parameter to a reasonable value is essential
in preventing the queue from overflowing or memory exceeding heap size.
Kinesis places the following restrictions on calls to fetch records:
- Each data record can be up to 1 MB in size.
- Each shard can support up to 5 transactions per second for reads.
- Each shard can read up to 2 MB per second.
- The maximum size of data that GetRecords can return is 10 MB.
Values for `recordsPerFetch` and `fetchDelayMillis` should be chosen to maximize throughput under the above constraints.
The values that you choose will depend on the average size of a record and the number of consumers you have reading from
a given shard (which will be `replicas` unless you have other consumers also reading from this Kinesis stream).
If the above limits are violated, AWS will throw ProvisionedThroughputExceededException errors on subsequent calls to
read data. When this happens, the Kinesis indexing service will pause by `fetchDelayMillis` and then attempt the call
again.
Internally, each indexing task maintains a buffer that stores the fetched but not yet processed record. `recordsPerFetch` and `fetchDelayMillis`
control this behavior. The number of records that the indexing task fetch from the buffer is controlled by `maxRecordsPerPoll`, which
determines the number of records to be processed per each ingestion loop in the task.
When changing the shard count for a Kinesis stream, there will be a window of time around the resharding operation with early shutdown of Kinesis ingestion tasks and possible task failures.
The early shutdowns and task failures are expected, and they occur because the supervisor will update the shard -> task group mappings as shards are closed and fully read, to ensure that tasks are not running
- All closed shards have been fully read and the Kinesis ingestion tasks have published the data from those shards, committing the "closed" state to metadata storage
- Any remaining tasks that had inactive shards in the assignment have been shutdown (these tasks would have been created before the closed shards were completely drained)
Before you deploy the Kinesis extension to production, consider the following known issues:
- Avoid implementing more than one Kinesis supervisor that read from the same Kinesis stream for ingestion. Kinesis has a per-shard read throughput limit and having multiple supervisors on the same stream can reduce available read throughput for an individual Supervisor's tasks. Additionally, multiple Supervisors ingesting to the same Druid Datasource can cause increased contention for locks on the Datasource.
- The only way to change the stream reset policy is to submit a new ingestion spec and set up a new supervisor.
- Timeouts for retrieving earliest sequence number will cause a reset of the supervisor. The job will resume own its own eventually, but it can trigger alerts.
- The Kinesis supervisor will not make progress if you have empty shards. Make sure you have at least 1 record in the shard.
- If ingestion tasks get stuck, the supervisor does not automatically recover. You should monitor ingestion tasks and investigate if your ingestion falls behind.
- A Kinesis supervisor can sometimes compare the checkpoint offset to retention window of the stream to see if it has fallen behind. These checks fetch the earliest sequence number for Kinesis which can result in `IteratorAgeMilliseconds` becoming very high in AWS CloudWatch.
