# flink

Apache Flink is a framework and distributed processing engine for stateful computations over bounded and unbounded data streams.

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## Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator

DevFeed: [Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator](<https://devfeed.tech/articles/lyft-moves-streaming-fleet-to-apache-flink-kubernetes-operator-30910.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/09/lyft-flink-k8s-operator/>)

Author: Mark Silvester

Published: 2026-09-16T11:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [flink](<https://devfeed.tech/topics/flink.md>), [apache-flink](<https://devfeed.tech/topics/apache-flink.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [legacy](<https://devfeed.tech/topics/legacy.md>), [Testing](<https://devfeed.tech/topics/testing.md>)

Tags: [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [development](<https://devfeed.tech/tags/development.md>), [devops](<https://devfeed.tech/tags/devops.md>), [flink](<https://devfeed.tech/tags/flink.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [kubernetes-operator](<https://devfeed.tech/tags/kubernetes-operator.md>), [legacy](<https://devfeed.tech/tags/legacy.md>), [lyft-flink-k8s-operator](<https://devfeed.tech/tags/lyft-flink-k8s-operator.md>), [news](<https://devfeed.tech/tags/news.md>), [testing](<https://devfeed.tech/tags/testing.md>), [upgrade](<https://devfeed.tech/tags/upgrade.md>)

### AI overview

Lyft moved hundreds of production Apache Flink jobs from its in-house Kubernetes operator to the Apache Flink Kubernetes Operator. The change enabled last-state upgrades, in-place autoscaling, and resource autotuning, while Lyft adapted legacy deployment specifications through its deploy API and contributed a fix for a configuration-renaming bug.

### Source excerpt

Lyft has moved hundreds of production Flink jobs from a 2020 in-house Kubernetes operator to the Apache Flink Kubernetes Operator, unlocking last-state upgrades, in-place autoscaling and resource autotuning across the fleet. By Mark Silvester

## The 2026 AI Data Engineer Roadmap

DevFeed: [The 2026 AI Data Engineer Roadmap](<https://devfeed.tech/articles/the-2026-ai-data-engineer-roadmap-27256.md>)

Original publisher: [Read original article](<https://blog.dataexpert.io/p/the-2026-ai-data-engineer-roadmap>)

Author: Zach Wilson

Published: 2026-02-05T20:26:37Z

Content type: article

Language: en

Sources: [DataExpert.io Newsletter](<https://devfeed.tech/sources/dataexpert-io-newsletter.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Apache Spark](<https://devfeed.tech/topics/spark.md>), [airflow](<https://devfeed.tech/topics/airflow.md>), [flink](<https://devfeed.tech/topics/flink.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding-agents](<https://devfeed.tech/tags/ai-coding-agents.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [data](<https://devfeed.tech/tags/data.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>)

### AI overview

This article presents a 2026 roadmap for data engineering as AI automates more pipeline, SQL, Spark, testing, migration, and operational work. It compares responsibilities that are becoming more automated with areas such as system design, deep technical debt, performance tradeoffs, and organizational constraints where human expertise remains important.

### Source excerpt

And how to avoid getting replaced