{"action":"created","comment":{"url":"https://api.github.com/repos/open-guides/og-aws/pulls/comments/83959082","pull_request_review_id":4768397,"id":83959082,"diff_hunk":"@@ -1298,25 +1298,29 @@ Kinesis Streams\n \n -\t📒 [Homepage](https://aws.amazon.com/kinesis/streams/) ∙ [Developer guide](https://docs.aws.amazon.com/streams/latest/dev/introduction.html) ∙ [FAQ](https://aws.amazon.com/kinesis/streams/faqs/) ∙ [Pricing](https://aws.amazon.com/kinesis/streams/pricing/)\n -\t**Kinesis Streams** (which used to be only called Kinesis, before Kinesis Firehose and Kinesis Analytics were launched) is a service that allows you to ingest high-throughput data streams for immediate or delayed processing by other AWS services.\n-- Kinesis Streams’ subcomponents are called [Shards](https://docs.aws.amazon.com/streams/latest/dev/key-concepts.html). Each shard provides 1MB/s of write capacity and 2MB/s of read capacity at a maximum of 5 reads per second. A stream can have its Shards programatically increased or decreased based on a variety of metrics.\n-- All records entered into a Kinesis Stream are assigned a unique Sequence Number as they are captured. The records in a Stream are ordered by this number, so any time-ordering is preserved.\n+- Kinesis Streams’ subcomponents are called [**shards**](https://docs.aws.amazon.com/streams/latest/dev/key-concepts.html). Each shard provides 1MB/s of write capacity and 2MB/s of read capacity at a maximum of 5 reads per second. A stream can have its shards programatically increased or decreased based on a variety of metrics.\n+- All records entered into a Kinesis Stream are assigned a unique sequence number as they are captured. The records in a Stream are ordered by this number, so any time-ordering is preserved.\n+- [This page](http://docs.aws.amazon.com/streams/latest/dev/key-concepts.html) summarises key terms and concepts for Kinesis Streams.\n \n ### Kinesis Streams Alternatives and Lock-in\n \n--\t⛓Kinesis is most closely compared to [Apache Kafka](https://kafka.apache.org/), an open-source data ingestion solution. It is possible to set up a Kafka cluster hosted on [EC2 instances](#ec2) (or any other VPS), however you are responsible for managing and maintaining both Zookeeper and the Kafka brokers in a highly available configuration. Confluent has a good blog post with their recommendations on how to do this [here](http://www.confluent.io/blog/design-and-deployment-considerations-for-deploying-apache-kafka-on-aws/), which has links on the bottom to several other blogs they have written on the subject.\n--   Kinesis uses very AWS-specific APIs and terms (e.g. Shards), so you should be aware of the potential future costs of migrating away from it, should you choose to use it.\n+-\t🚪 Kinesis is most closely compared to [Apache Kafka](https://kafka.apache.org/), an open-source data ingestion solution. It is possible to set up a Kafka cluster hosted on [EC2 instances](#ec2) (or any other VPS), however you are responsible for managing and maintaining both Zookeeper and the Kafka brokers in a highly available configuration. Confluent has a good blog post with their recommendations on how to do this [here](http://www.confluent.io/blog/design-and-deployment-considerations-for-deploying-apache-kafka-on-aws/), which has links on the bottom to several other blogs they have written on the subject.\n+-   ⛓ Kinesis uses very AWS-specific APIs, so you should be aware of the potential future costs of migrating away from it, should you choose to use it.\n+    -   An application that efficiently uses Kinesis Streams will scale the number of shards up and down based on the required streaming capacity - there is no direct equivalent to this with Apache Kafka.\n+\n \n ### Kinesis Streams Tips\n \n--\tThe [KCL](https://docs.aws.amazon.com/streams/latest/dev/developing-consumers-with-kcl.html) (Kinesis Client Library) is a very useful Java program (wrapped in a multi-language interface that makes it useable in Java, Node, Python, Ruby and .NET programs) that provides very simple interfaces for clients to use when consuming data from a Kinesis Stream. It provides the skeleton for 3 basic functions - ```initialize```, ```process-records```, and ```shutdown```. As a developer, all you need to do is set up the config file to point at the correct Kinesis Stream and fill out the provided functions in order to start consuming data from Kinesis.\n-\t- The KCL uses a DynamoDB table to keep track of which records have been processed by the KCL. This ensures that all records are processed ‘at least once’. It is up to the developer to ensure that the program can handle doubly-processed records.\n-\t- The KCL also uses DynamoDB to keep track of other KCL ‘workers’. It automatically shares the available Kinesis Shards across all the workers as equally as possible.\n+-\tThe [KCL](https://docs.aws.amazon.com/streams/latest/dev/developing-consumers-with-kcl.html) (Kinesis Client Library) provides a skeleton interface for Java, Node, Python, Ruby and .NET programs to easily consume data from a Kinesis Stream. It provides the outline for 3 basic functions - ```initialize```, ```process-records```, and ```shutdown```. As a developer, all you need to do is set up the config file to point at the correct Kinesis Stream and fill out the provided functions in order to start consuming data from the Stream.\n+\t- The KCL uses a DynamoDB table to keep track of which records have been processed by the KCL. This ensures that all records are processed “at least once”. It is up to the developer to ensure that the program can handle doubly-processed records.\n+\t- The KCL also uses DynamoDB to keep track of other KCL “workers”. It automatically shares the available Kinesis Shards across all the workers as equally as possible.\n \n ### Kinesis Streams Gotchas and Limitations\n--\t💸❗**Kinesis Streams are not included in the free tier!** Make sure if you do any experimentation with it on a personal account, you shut down the stream or may run up unexpected costs (~$11 per shard-month.)\n--  Kinesis Streams’ shards each only permit 5 reads per second. If you are using ```n``` shards in a particular stream and are evenly distributing your data across all of them, you will end up with a total of 5 reads per second. This is because a consumer cannot know which shard will contain new data and will therefore need to check every single one. This means that there is a hard limit on the number of consumers you can have per stream for any given latency.\n-\t- If you wish to have 5 consumers all reading data from one Stream with 5 shards with a maximum permitted latency of 0.5 seconds, you will need to either split your data across two streams or reduce your latency requirements — with the setup described above, each consumer will need to poll each shard once every 0.5 seconds, meaning each Shard will need to be queried 10 times a second — a value in excess of the maximum.\n-\t- There is a good blog post by Brandur, an engineer at Stripe, which discusses the performance and limitations of Kinesis in production [here](https://brandur.org/kinesis-in-production).\n+- 🔸 Kinesis Streams’ shards each only permit [5 reads per second](http://docs.aws.amazon.com/streams/latest/dev/service-sizes-and-limits.html). If you are evenly distrubuting data across many shards, your read limit for the Stream will remain at 5 reads per second on aggregate, as each consuming application will need to check every single shard for new records. This puts a hard limit on the number of different consuming applications possible per Stream for a given maximum read latency.\n+   - An example: if you wish to have 5 consuming applications reading data from one Stream with ```n``` shards, with a desired maximum latency of 0.5 seconds, each consumer will need to poll each shard once every 0.5 seconds. This means each shard will need to be queried 10 times a second, a value higher than the limit of 5 per second.","path":"README.md","position":34,"original_position":34,"commit_id":"a37dadc9bebf4906b87c8e4e42756ede4db3de42","original_commit_id":"a37dadc9bebf4906b87c8e4e42756ede4db3de42","user":{"login":"KrishanBhasin","id":8904718,"avatar_url":"https://avatars.githubusercontent.com/u/8904718?v=3","gravatar_id":"","url":"https://api.github.com/users/KrishanBhasin","html_url":"https://github.com/KrishanBhasin","followers_url":"https://api.github.com/users/KrishanBhasin/followers","following_url":"https://api.github.com/users/KrishanBhasin/following{/other_user}","gists_url":"https://api.github.com/users/KrishanBhasin/gists{/gist_id}","starred_url":"https://api.github.com/users/KrishanBhasin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/KrishanBhasin/subscriptions","organizations_url":"https://api.github.com/users/KrishanBhasin/orgs","repos_url":"https://api.github.com/users/KrishanBhasin/repos","events_url":"https://api.github.com/users/KrishanBhasin/events{/privacy}","received_events_url":"https://api.github.com/users/KrishanBhasin/received_events","type":"User","site_admin":false},"body":"I like the clarity you add, but I'm wary of saying 'many shards', as it implies that the problem doesn't exist with few shards - the key here is that this limit exists irrespective of the number of shards.","created_at":"2016-10-18T21:53:47Z","updated_at":"2016-10-18T21:53:47Z","html_url":"https://github.com/open-guides/og-aws/pull/229#discussion_r83959082","pull_request_url":"https://api.github.com/repos/open-guides/og-aws/pulls/229","_links":{"self":{"href":"https://api.github.com/repos/open-guides/og-aws/pulls/comments/83959082"},"html":{"href":"https://github.com/open-guides/og-aws/pull/229#discussion_r83959082"},"pull_request":{"href":"https://api.github.com/repos/open-guides/og-aws/pulls/229"}}},"pull_request":{"url":"https://api.github.com/repos/open-guides/og-aws/pulls/229","id":89709293,"html_url":"https://github.com/open-guides/og-aws/pull/229","diff_url":"https://github.com/open-guides/og-aws/pull/229.diff","patch_url":"https://github.com/open-guides/og-aws/pull/229.patch","issue_url":"https://api.github.com/repos/open-guides/og-aws/issues/229","number":229,"state":"open","locked":false,"title":"Kinesis Streams cleanup & fixes","user":{"login":"KrishanBhasin","id":8904718,"avatar_url":"https://avatars.githubusercontent.com/u/8904718?v=3","gravatar_id":"","url":"https://api.github.com/users/KrishanBhasin","html_url":"https://github.com/KrishanBhasin","followers_url":"https://api.github.com/users/KrishanBhasin/followers","following_url":"https://api.github.com/users/KrishanBhasin/following{/other_user}","gists_url":"https://api.github.com/users/KrishanBhasin/gists{/gist_id}","starred_url":"https://api.github.com/users/KrishanBhasin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/KrishanBhasin/subscriptions","organizations_url":"https://api.github.com/users/KrishanBhasin/orgs","repos_url":"https://api.github.com/users/KrishanBhasin/repos","events_url":"https://api.github.com/users/KrishanBhasin/events{/privacy}","received_events_url":"https://api.github.com/users/KrishanBhasin/received_events","type":"User","site_admin":false},"body":"Changes made as per @jlevy comments. Further feedback 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