Based on our record, Apache Flink should be more popular than AWS CloudTrail. It has been mentiond 28 times since March 2021. 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.
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 12 days ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 month 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 / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
It uses CloudTrail events up to 90 days in the past and creates a tailor-made policy for the role based on the activity. - Source: dev.to / 9 months ago
We know that CloudTrail is the bare minimum service to activate on a newly created AWS Account to track all activities on your AWS account. It helps, but this will not alert you to suspicious activities by itself. You still have to check periodically if something has gone wrong in multiple services and the console. - Source: dev.to / 9 months ago
Amazon CloudTrail is the surveillance camera for our accounts. It records every API call that any users or roles make. If we have multiple accounts set up in AWS Organizations, we can create a central trail in the management account. We can then enable logging to all accounts and all regions. Or, if we use Control Tower to set up the account structure, we don't need to do anything because it will automatically... - Source: dev.to / 10 months ago
Monitoring solutions - Familiarity with monitoring solutions like Amazon CloudWatch and AWS CloudTrail allows QA Engineers to proactively identify and address performance issues, ensuring optimal system functionality. - Source: dev.to / 11 months ago
One of the first steps in AWS monitoring is to enable CloudTrail logging. This service allows you to track all API activity in your AWS account, including the actions taken by users, roles, and services. By enabling CloudTrail, you can get a complete picture of who is doing what in your AWS account and identify any unusual activity that could indicate a security issue. Source: about 1 year ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Postman - The Collaboration Platform for API Development
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
DreamFactory - DreamFactory is an API management platform used to generate, secure, document, and extend APIs.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.