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In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported

AWS Big Data

To learn more about the features supported in each Apache Flink version, you can consult the Apache Flink blog , which discusses at length each of the Flink Improvement Proposals (FLIPs) incorporated into each of the versioned releases. You don’t need to create a new application in order to upgrade in-place.

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Real-time cost savings for Amazon Managed Service for Apache Flink

AWS Big Data

Managed Service for Apache Flink manages the underlying infrastructure and Apache Flink components that provide durable application state, metrics, logs, and more. The third cost component is durable application backups, or snapshots. The cost of durable application backup (snapshots) is $0.023 per GB per month.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. When barriers from all upstream partitions have arrived, the sub-task takes a snapshot of its state.

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Everything You Need To Know To Get Started With Helpdesk KPIs

datapine

In today’s business world, competition is fierce across all industries and sectors, which means that to survive and thrive, working with measurable online data analysis and performance metrics is essential. Working with service desk metrics and KPI reports will help you make the improvements you need for continual growth and success.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 1

AWS Big Data

Each of the distributed components of an application asynchronously snapshots its state to an external persistent datastore. The challenge is taking snapshots guaranteeing exactly-once consistency. When a downstream operator’s sub-task receives all checkpoint barriers from all input channels, it starts snapshotting its state.

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Don’t Start from Scratch! Make One of these Dashboards Instead

Depict Data Studio

They don’t even need to be outsourced to a consultant. Grant Deliverables In this blog post , you’ll see how Josephine Engels did need to start from scratch — she was visualizing these metrics for her organization for the first time — and then made several dashboards to track grant deliverables. That’s it!

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.