amazon-kinesis-firehose — quality + safety report
In the Skillier index (lap__amazonaws-com-amazonaws-com-firehose) · scanned 2026-06-03 · engine: builtin+triage
✓ Clean — no heuristic safety flags surfaced.
Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →
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Quality notes
About this skill
Amazon Kinesis Firehose API skill. Use when working with Amazon Kinesis Firehose for root. Covers 12 endpoints.
📄 Read the SKILL.md
--- name: amazon-kinesis-firehose description: "Amazon Kinesis Firehose API skill. Use when working with Amazon Kinesis Firehose for root. Covers 12 endpoints." version: 1.0.0 generator: lapsh --- # Amazon Kinesis Firehose API version: 2015-08-04 ## Auth AWS SigV4 ## Base URL Not specified. ## Setup 1. Configure auth: AWS SigV4 3. POST / -- create first resource ## Endpoints 12 endpoints across 1 groups. See references/api-spec.lap for full details. ### root | Method | Path | Description | |--------|------|-------------| | POST | / | Creates a Firehose delivery stream. By default, you can create up to 50 delivery streams per Amazon Web Services Region. This is an asynchronous operation that immediately returns. The initial status of the delivery stream is CREATING. After the delivery stream is created, its status is ACTIVE and it now accepts data. If the delivery stream creation fails, the status transitions to CREATING_FAILED. Attempts to send data to a delivery stream that is not in the ACTIVE state cause an exception. To check the state of a delivery stream, use DescribeDeliveryStream. If the status of a delivery stream is CREATING_FAILED, this status doesn't change, and you can't invoke CreateDeliveryStream again on it. However, you can invoke the DeleteDeliveryStream operation to delete it. A Firehose delivery stream can be configured to receive records directly from providers using PutRecord or PutRecordBatch, or it can be configured to use an existing Kinesis stream as its source. To specify a Kinesis data stream as input, set the DeliveryStreamType parameter to KinesisStreamAsSource, and provide the Kinesis stream Amazon Resource Name (ARN) and role ARN in the KinesisStreamSourceConfiguration parameter. To create a delivery stream with server-side encryption (SSE) enabled, include DeliveryStreamEncryptionConfigurationInput in your request. This is optional. You can also invoke StartDeliveryStreamEncryption to turn on SSE for an existing delivery stream that doesn't have SSE enabled. A delivery stream is configured with a single destination, such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon OpenSearch Service, Amazon OpenSearch Serverless, Splunk, and any custom HTTP endpoint or HTTP endpoints owned by or supported by third-party service providers, including Datadog, Dynatrace, LogicMonitor, MongoDB, New Relic, and Sumo Logic. You must specify only one of the following destination configuration parameters: ExtendedS3DestinationConfiguration, S3DestinationConfiguration, ElasticsearchDestinationConfiguration, RedshiftDestinationConfiguration, or SplunkDestinationConfiguration. When you specify S3DestinationConfiguration, you can also provide the following optional values: BufferingHints, EncryptionConfiguration, and CompressionFormat. By default, if no BufferingHints value is provided, Firehose buffers data up to 5 MB or for 5 minutes, whichever condition is satisfied first. BufferingHints is a hint, so there are some cases where the service cannot adhere to these conditions strictly. For example, record boundaries might be such that the size is a little over or under the configured buffering size. By default, no encryption is performed. We strongly recommend that you enable encryption to ensure secure data storage in Amazon S3. A few notes about Amazon Redshift as a destination: An Amazon Redshift destination requires an S3 bucket as intermediate location. Firehose first delivers data to Amazon S3 and then uses COPY syntax to load data into an Amazon Redshift table. This is specified in the RedshiftDestinationConfiguration.S3Configuration parameter. The compression formats SNAPPY or ZIP cannot be specified in RedshiftDestinationConfiguration.S3Configuration because the Amazon Redshift COPY operation that reads from the S3 bucket doesn't support these compression formats. We strongly recommend that you use the user name and password you provide exclusively with Firehose, and that the permissions for the account are restricted for Amazon Redshift INSERT permissions. Firehose assumes the IAM role that is configured as part of the destination. The role should allow the Firehose principal to assume the role, and the role should have permissions that allow the service to deliver the data. For more information, see Grant Firehose Access to an Amazon S3 Destination in the Amazon Firehose Developer Guide. | | POST | / | Deletes a delivery stream and its data. You can delete a delivery stream only if it is in one of the following states: ACTIVE, DELETING, CREATING_FAILED, or DELETING_FAILED. You can't delete a delivery stream that is in the CREATING state. To check the state of a delivery stream, use DescribeDeliveryStream. DeleteDeliveryStream is an asynchronous API. When an API request to DeleteDeliveryStream succeeds, the delivery stream is marked for deletion, and it goes into the DELETING state.While the delivery stream is in the DELETING state, the service might continue to accept records, but it doesn't make any guarantees with respect to delivering the data. Therefore, as a best practice, first stop any applications that are sending records before you delete a delivery stream. Removal of a delivery stream that is in the DELETING state is a low priority operation for the service. A stream may remain in the DELETING state for several minutes. Therefore, as a best practice, applications should not wait for streams in the DELETING state to be removed. | | POST | / | Describes the specified delivery stream and its status. For example, after your delivery stream is created, call DescribeDeliveryStream to see whether the delivery stream is ACTIVE and therefore ready for data to be sent to it. If the status of a delivery stream is CREATING_FAILED, this status doesn't change, and you can't invoke CreateDeliveryStream again on it. However, you can invoke the DeleteDeliveryStream operation to delete it. If the status is DELETING_FAILED, you can force deletion by invoking DeleteDeliveryStream again but with DeleteDeliveryStreamInput$AllowForceDelete set to true. | | POST | / | Lists your delivery streams in alphabetical order of their names. The number of delivery streams might be too large to return using a single call to ListDeliveryStreams. You can limit the number of delivery streams returned, using the Limit parameter. To determine whether there are more delivery streams to list, check the value of HasMoreDeliveryStreams in the output. If there are more delivery streams to list, you can request them by calling this operation again and setting the ExclusiveStartDeliveryStreamName parameter to the name of the last delivery stream returned in the last call. | | POST | / | Lists the tags for the specified delivery stream. This operation has a limit of five transactions per second per account. | | POST | / | Writes a single data record into an Amazon Firehose delivery stream. To write multiple data records into a delivery stream, use PutRecordBatch. Applications using these operations are referred to as producers. By default, each delivery stream can take in up to 2,000 transactions per second, 5,000 records per second, or 5 MB per second. If you use PutRecord and PutRecordBatch, the limits are an aggregate across these two operations for each delivery stream. For more information about limits and how to request an increase, see Amazon Firehose Limits. Firehose accumulates and publishes a particular metric for a customer account in one minute intervals. It is possible that the bursts of incoming bytes/records ingested to a delivery stream last only for a few seconds. Due to this, the actual spikes in the traffic might not be fully visible in the customer's 1 minute CloudWatch metrics. You must specify the name of the delivery stream and the data record when using PutRecord. The data record consists of a data blob that can be up to 1,000 KiB in size, and any kind of data. For example, it can be a segment from a log file, geographic location data, website clickstream data, and so on. Firehose buffers records before delivering them to the destination. To disambiguate the data blobs at the destination, a common solution is to use delimiters in the data, such as a newline (\n) or some other character unique within the data. This allows the consumer application to parse individual data items when reading the data from the destination. The PutRecord operation returns a RecordId, which is a unique string assigned to each record. Producer applications can use this ID for purposes such as auditability and investigation. If the PutRecord operation throws a ServiceUnavailableException, the API is automatically reinvoked (retried) 3 times. If the exception persists, it is possible that the throughput limits have been exceeded for the delivery stream. Re-invoking the Put API operations (for example, PutRecord and PutRecordBatch) can result in data duplicates. For larger data assets, allow for a longer time out before retrying Put API operations. Data records sent to Firehose are stored for 24 hours from the time they are added to a delivery stream as it tries to send the records to the destination. If the destination is unreachable for more than 24 hours, the data is no longer available. Don't concatenate two or more base64 strings to form the data fields of your records. Instead, concatenate the raw data, then perform base64 encoding. | | POST | / | Writes multiple data records into a delivery stream in a single call, which can achieve higher throughput per producer than when writing single records. To write single data records into a delivery stream, use PutRecord. Applications using these operations are referred to as producers. Firehose accumulates and publishes a particular metric for a customer account in one minute intervals. It is possible that the bursts of incoming bytes/records ingested to a delivery stream last only for a few seconds. Due to this, the actual spikes in the traffic might not be fully visible in the customer's 1 minute CloudWatch metrics. For information about service quota, see Amazon Firehose Quota. Each PutRecordBatch request supports up to 500 records. Each record in the request can be as large as 1,000 KB (before base64 encoding), up to a limit of 4 MB for the entire request. These limits cannot be changed. You must specify the name of the delivery stream and the data record when using PutRecord. The data record consists of a data blob that can be up to 1,000 KB in size, and any kind of data. For example, it could be a segment from a log file, geographic location data, website clickstream data, and so on. Firehose buffers records before delivering them to the destination. To disambiguate the data blobs at the destination, a common solution is to use delimiters in the data, such as a newline (\n) or some other character unique within the data. This allows the consumer application to parse individual data items when reading the data from the destination. The PutRecordBatch response includes a count of failed records, FailedPutCount, and an array of responses, RequestResponses. Even if the PutRecordBatch call succeeds, the value of FailedPutCount may be greater than 0, indicating that there are records for which the operation didn't succeed. Each entry in the RequestResponses array provides additional information about the processed record. It directly correlates with a record in the request array using the same ordering, from the top to the bottom. The response array always includes the same number of records as the request array. RequestResponses includes both successfully and unsuccessfully processed records. Firehose tries to process all records in each PutRecordBatch request. A single record failure does not stop the processing of subsequent records. A successfully processed record includes a RecordId value, which is unique for the record. An unsuccessfully processed record includes ErrorCode and ErrorMessage valu … (truncated)
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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.