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<div style="display: none; max-height: 0px; overflow: hidden;">Databricks announced general availability of Zerobus Ingest, a serverless streaming service that demonstrated the ability to ingest 1 petabyte </div>
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<h1><strong>TLDR DevOps <span id="date">2026-06-15</span></strong></h1>
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<strong>From vibe coding to agentic engineering (Sponsor)</strong>
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Vibe coding brought generative AI into the flow of development—fast to try, easy to iterate. Turning that momentum into production-ready software requires more discipline.<p></p><p>Agentic engineering treats AI agents as part of a managed workflow, where developers guide, review at each step. It supports common tasks like refactoring, testing and documentation, while adding structure, traceability and governance.</p><p>Teams can gain a clear path from experiment to deployment. This shift helps developers work with AI in a way that aligns with real-world delivery standards and long-term maintainability.</p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.ibm.com%2Fthink%2Ftopics%2Fagentic-engineering%3Fp1=Display%26p2=448007860%26p3=247627917%26utm_source=TLDR%26utm_medium=newsletter%26utm_campaign=2026-06-13_Primary_IBM%26utm_content=PVLWW_cta_dive_into_full%26utm_term=30A06/1/0100019ecaf5f2ae-4ebf5787-60c9-43e0-a17b-f817f4cd0a7d-000000/ORoq-W-uNFD_zEBHxOvyvHE-wNmShHRmBu_cE-4LjDA=452" rel="noopener noreferrer nofollow" target="_blank"><span>Dive into the full breakdown and start building smarter with AI</span></a>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.databricks.com%2Fblog%2Fingesting-milky-way-petabyte-scale-zerobus-ingest%3Futm_source=tldrdevops/1/0100019ecaf5f2ae-4ebf5787-60c9-43e0-a17b-f817f4cd0a7d-000000/gxWhqpyswAtzD3A076ijT1wJ5fivFtw8begUhR9uOHo=452">
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<strong>Ingesting the Milky Way: Petabyte-Scale with Zerobus Ingest (7 minute read)</strong>
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Databricks announced general availability of Zerobus Ingest, a serverless streaming service that demonstrated the ability to ingest 1 petabyte of data in under 24 hours—sustaining 12 GB/s throughput to a single Delta table—using NASA's 200 billion data point NEOWISE dataset as a benchmark. The service eliminates the need for Kafka infrastructure by using a push-based API with stream-level ordering guarantees and a custom zero-copy protobuf parser that achieves ~1 GB/s parsing per CPU core.
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<strong>Ansible Automation Platform 2.7: Visual Execution Environment Builder and Content Discovery Guide (3 minute read)</strong>
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Red Hat released Ansible Automation Platform 2.7, which introduces a visual execution environment builder and unified content discovery engine that eliminate the need for manual syntax configuration and consolidate scattered automation content from multiple repositories into a single searchable catalog. The new builder features a guided workflow and automated GitHub Actions pipeline that can generate and deploy custom execution environments without requiring command-line expertise.
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<strong>Introducing Flights: Agent-Native Ingest in MotherDuck (4 minute read)</strong>
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MotherDuck launched Flights, a public-preview feature for building and running agent-native data pipelines inside a general-purpose Python runtime. Flights can be created through MCP-capable agents, SQL table functions, or the MotherDuck UI, letting teams ingest from APIs, warehouses, SaaS tools, S3, or dlt pipelines while keeping secrets inside MotherDuck and moving from raw source data to analytics in a single agent session.
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<strong>Diagnose EKS Node Issues Faster with AWS DevOps Agent and Custom MCP (11 minute read)</strong>
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AWS released a custom Model Context Protocol (MCP) server that extends its DevOps Agent's autonomous troubleshooting capabilities to EKS worker nodes, giving it structured access to 20+ node-level diagnostic sources like iptables rules, kernel logs, and CNI configuration through AWS Systems Manager automation. The open-source reference implementation successfully diagnosed a fault-injected DNS failure by autonomously collecting node diagnostics, comparing against healthy nodes, and identifying the root cause—iptables DROP rules blocking pod traffic—without requiring manual SSH sessions.
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<strong>How Dropbox uses MCP and Dash to close the design-to-code security gap (8 minute read)</strong>
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Dropbox built a system combining Model Context Protocol, large language models, and its Dash AI to automatically check if code changes align with security threat models during code review, after discovering that only 12% of pull requests linked back to their original security reviews and 54% were created over a month after the review was filed. The system uses Dash's indexing capabilities to retrieve relevant threat models and has already identified missing security controls and contradictions that were invisible without connecting the implementation to original requirements.
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<strong>Azure Copilot Migration Agent is Here, from Microsoft Azure (Sponsor)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The new Microsoft Azure Copilot migration agent turns complex migration data into clear answers. Through natural language prompts, you can evaluate readiness, risk, ROI, and automate landing zone requirements to make confident decisions. It streamlines planning and analysis, so migrations are better scoped, better justified, and far less error‑prone.<p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Finfo.microsoft.com%2Fww-landing-app-modernization-playbook.html%3Futm_source=fandf%26utm_medium=newsletter%26utm_campaign=agents-june%26utm_term=tldrdevops%26utm_content=agents-whitepaper/2/0100019ecaf5f2ae-4ebf5787-60c9-43e0-a17b-f817f4cd0a7d-000000/YDQCXmX4rCzgXB6ukJUq1wZjOwEIqu56PYM4TlUUIAU=452" rel="noopener noreferrer nofollow" target="_blank"><span>Download the playbook for free: </span></a>
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<strong>Meshery (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Meshery, a Cloud Native Computing Foundation project, is an open-source engineering platform that manages Kubernetes-based infrastructure across multi-cloud environments with support for 380+ integrations and visual GitOps capabilities. The self-service platform offers collaborative design tools, multi-cluster management, performance testing, and multi-tenant support while eliminating the need for manual YAML configuration.
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<strong>Aisuite (GitHub Repo)</strong>
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OpenCoworker is a desktop AI agent built on the aisuite library for macOS and Windows that can perform deep research, manage files, send messages via Slack and email, and create deliverables like PDF reports while keeping all data stored locally on users' machines. The tool requires users to bring their own API keys from providers like OpenAI, Anthropic, or Google, or can run completely offline using Ollama, and supports scheduled automations like daily news summaries.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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