Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 4 days ago

I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 24 days ago

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 / about 1 month 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 / 2 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

Periodic Audits and Compliance Checks: Use AWS Config and AWS Security Hub for continuous compliance tracking. Run AWS Inspector on periodic security checks of any identified vulnerabilities and always for mitigation. - Source: dev.to / 2 months ago

AWS has a lot of controls built in, but what if you need more? AWS Config allows you to create your own rules. These rules can then inspect your resources and determine if they are compliant. This is useful when you want to enforce certain configuration settings. Giving you an overview of how compliant your workloads are. - Source: dev.to / 4 months ago

AWS Config is a service that provides a detailed inventory of all of the resources in your AWS account, along with their configuration settings. By using AWS Config, you can easily identify any resources that are not configured correctly, such as those that are not compliant with your security policies. Additionally, AWS Config provides change management capabilities, allowing you to see when changes were made to... Source: about 1 year ago

AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. With AWS Config, you can review changes to your resources and maintain an inventory of your AWS resources. - Source: dev.to / over 1 year ago

Once you have enforced the rule to set up MFA through your IdP, make sure to set up an AWS Config rule to ensure that your users have followed through and taken the steps to set it up. You can use one of the pre-built AWS Config MFA-based rules and get alerted via email if a user is non-compliant. - Source: dev.to / over 1 year ago