Saturday, December 30, 2023

AWSCertCP: Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon OpenSearch

Amazon Managed Streaming for Apache Kafka (Amazon MSK)

Amazon MSK makes it easy to ingest and process streaming data in real time with fully managed Apache Kafka.

Usecases:

Ingest and process log and event streams: Capture events with MSK, and then express your stream processing logic within Apache Zeppelin notebooks to derive insights from data streams in milliseconds.

Run centralized state or data buses: Use Amazon MSK and the Apache Kafka log structure to form real-time, centralized, and privately accessible data buses.

Power your event-driven systems: Ingest and respond to digital changes occurring throughout your applications and business infrastructure in real time.


Eliminate operational overhead, including the provisioning, configuration, and maintenance of highly available Apache Kafka and Kafka Connect clusters.

Use applications and tools built for Apache Kafka out of the box (no code changes required), and scale cluster capacity automatically.

Easily deploy secure, compliant, and production-ready applications using native AWS integrations.

Keep costs low with Amazon MSK. With pay-as-you-go pricing, it is offered as low as 1/13 the cost of other providers using features such as Tiered Storage and Graviton instances.




Amazon OpenSearch

Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5 to 7.10 versions). Amazon OpenSearch Service currently has tens of thousands of active customers with hundreds of thousands of clusters under management processing hundreds of trillions of requests per month.

Use Cases are: 
Monitor and debug applications and infrastructure: Easily store and analyze data for comprehensive visibility into your system performance with observability logs, metrics, and traces. Set up automated alerts when your system underperforms and find root cause for availability issues.

Manage security and event information (SIEM): Centralize and analyze logs from disparate applications and systems across AWS, on premises, and other clouds for real-time threat detection and incident management.

Enable seamless, personalized search: Help users quickly find relevant data with a fast, personalized search experience within your applications, websites, and data lake catalogs.

Observability: Efficiently find and fix problems, improve application health, and deliver better customer experiences.





No comments:

Post a Comment