Based on our record, AWS CloudTrail should be more popular than Spark Streaming. It has been mentiond 13 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.
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 / 10 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 / 11 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 / 11 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 / about 1 year 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
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 / 5 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
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