What is parallelization factor?

Posted On: Nov 25, 2019. AWS Lambda now supports Parallelization Factor, a feature that allows you to process one shard of a Kinesis or DynamoDB data stream with more than one Lambda invocation simultaneously. This new feature allows you to build more agile stream processing applications on volatile data traffic.

How many lambdas are in a Kinesis shard?

You can specify the number of concurrent batches that Lambda polls from a shard via a parallelization factor from 1 (default) to 10. For example, when you set ParallelizationFactor to 2, you can have 200 concurrent Lambda invocations at maximum to process 100 Kinesis data shards.

What is concurrent batches per shard?

Concurrent batches per shard – Concurrently process multiple batches from the same shard. Enabled – Set to true to enable the event source mapping. Set to false to stop processing records. Lambda keeps track of the last record processed and resumes processing from that point when the mapping is reenabled.

Is AWS Kinesis push or pull?

It’s pull. Consumers read from the shards using the KCL via a shard iterator.

What is batch size in Lambda?

Lambda processes up to five batches at a time. This means that there are a maximum of five workers available to batch and process messages in parallel at any one time. Each worker shows a distinct Lambda invocation for its current batch of messages.

What is shard DynamoDB?

Write sharding is a mechanism to distribute a collection across a DynamoDB table’s partitions effectively. It increases write throughput per partition key by distributing the write operations for a partition key across multiple partitions.

Can Lambda be a producer for Kinesis?

The Kinesis Producer Library (KPL) aggregates small user-formatted records into larger records up to 1 MB to make better use of Amazon Kinesis Data Streams throughput.

What is Kinesis checkpointing?

Checkpointing is the method that is used for implementing fault tolerance in Amazon Kinesis Data Analytics for Apache Flink. A checkpoint is an up-to-date backup of a running application that is used to recover immediately from an unexpected application disruption or failover.

What is IteratorAge?

IteratorAge – For event source mappings that read from streams, the age of the last record in the event. The age is the amount of time between when a stream receives the record and when the event source mapping sends the event to the function.

Is Kinesis a FIFO?

The main difference between SQS and Kinesis is that the first is a FIFO queue, whereas the latter is a real time stream that allows processing data posted with minimal delay.

What is a shard in Kinesis?

A shard has a sequence of data records in a stream. It serves as a base throughput unit of a Kinesis data stream. A shard supports 1 MB/second and 1,000 records per second for writes and 2 MB/second for reads.

What is event Bridge?

Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications at scale using events generated from your applications, integrated Software-as-a-Service (SaaS) applications, and AWS services.