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Based on our record, Amazon SNS seems to be a lot more popular than Spark Streaming. While we know about 55 links to Amazon SNS, we've tracked only 3 mentions of Spark Streaming. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / 29 days ago
This blog details how you can use some key serverless components from AWS like Amazon Eventbridge, AWS Lambda, and Simple Notification Service to setup a system that will monitor your site (which can be running anywhere) and send emails, text messages, slack messages, and more when the reachability status of your site changes. - Source: dev.to / 5 months ago
Compare this to a stateless communication mechanism like Amazon SNS or other Webhook implementation where the connection is not persistent and the communication is one-way. These are intended to be used as a response to an event and inform subscribers without maintaining a continuous connection or keeping memory of previous interactions. - Source: dev.to / 7 months ago
Let's make it simple and add an SNS topic target to the rule. We can add multiple different subscribers to the topic. Any time when Access Analyzer creates a new finding, SNS can, for example, send an email or a customized Slack message. - Source: dev.to / 9 months ago
Of course, Slack is not the only way to receive notifications. EventBridge integrates with many target services, both AWS and 3rd parties. For example, we can set up email or phone text message alerts in SNS, or add a different target if business needs require. - Source: dev.to / 10 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
AWS Lambda - Automatic, event-driven compute service
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.