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<div style="display: none; max-height: 0px; overflow: hidden;">ASPA builds on RPKI and ROAs to cryptographically verify BGP AS paths and prevent route leaks and some forged origin hijacks </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fngrok.com%2Fblog%2Fai-benchmarks/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/oLE1TXI6eVxtYSA9TqcwyCNr3cEeYnNW9EqQdxQfqt4=446"><img src="https://images.tldr.tech/ngrok.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="ngrok"></a></td></tr></tbody></table>
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<h1><strong>TLDR DevOps <span id="date">2026-03-02</span></strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fngrok.com%2Fblog%2Fai-benchmarks/2/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/iC-wIVjuofFwlGU7Q3gbCwK9VZT8IqLEyU_PymxDiKo=446">
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<strong>What AI benchmarks actually mean (Sponsor)</strong>
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Opus 4.5 scores 80.6% on SWE-bench Verified. Opus 4 scored 72.5%. So Opus 4.5 is better at programming than Opus 4, right?<p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fngrok.com%2Fblog%2Fai-benchmarks/3/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/Y2ju5YCQAc4tXMEL_APcHX8xpqy1AC2YG0XzgGuRiV0=446" rel="noopener noreferrer nofollow" target="_blank"><span>Well...maybe</span></a>. But that's not what SWE-bench Verified tells you. What it really measures is a model's ability to fix small bugs in 12 popular open source Python repositories, all of which are likely part of its training data.</p>
<p>Yes, that's it 🙄</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fngrok.com%2Fblog%2Fai-benchmarks/4/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/j4GpoLRJ-5sfkh5eT1IMPmBA5ASrUvqQJjN3ivncoQA=446" rel="noopener noreferrer nofollow" target="_blank"><span>ngrok wrote this post</span></a> to explain what 14 AI benchmarks <em>actually</em> test — and if they tell you what you're looking for.</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fngrok.com%2Fblog%2Fai-benchmarks/5/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/CUaDur1ucHr7NZ95UPDXWJOH-zNyLXlJlHXuVJHS8gw=446" rel="noopener noreferrer nofollow" target="_blank"><span>Read the article</span></a> and never get fooled by a benchmark again
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<h1><strong>News & Trends</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.cloudflare.com%2Faspa-secure-internet%2F%3Futm_source=tldrdevops/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/cNe8LoWD4GszsGZ2IPPP-dplu3RJ50Ak515AwJPcPAg=446">
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<strong>ASPA: making Internet routing more secure (9 minute read)</strong>
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Autonomous System Provider Authorization builds on RPKI and ROAs to cryptographically verify BGP AS paths and prevent route leaks and some forged origin hijacks, while Cloudflare Radar now tracks ASPA adoption and records across RIRs and individual Autonomous Systems.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fkubernetes.io%2Fblog%2F2026%2F02%2F27%2Fingress-nginx-before-you-migrate%2F%3Futm_source=tldrdevops/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/zlTP1-g9ArbHrbpT6ghoO1COiH22kRG_9y9oXK4U-dA=446">
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<strong>Before You Migrate: Five Surprising Ingress-NGINX Behaviors You Need to Know (7 minute read)</strong>
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Kubernetes announced it will retire the widely-used Ingress-NGINX controller in March, prompting a detailed migration guide that reveals surprising default behaviors like case-insensitive prefix matching for regex patterns and automatic trailing-slash redirects that could cause outages if not properly handled during the transition to Gateway API.
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<h1><strong>Opinions & Tutorials</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fpyrefly.org%2Fblog%2Fcontainer-inference-comparison%2F%3Futm_source=tldrdevops/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/CAnyfSdDEoR7Kb5F9O09729-z02ARcvZ63_bOnwKTqo=446">
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<strong>Python Type Checker Comparison: Empty Container Inference (9 minute read)</strong>
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Python type checkers handle empty containers using three strategies: infer Any (permissive but unsafe), infer from all usages (accurate but errors may appear far from the bug), or infer from the first usage (more actionable but sometimes wrong). Each approach balances type safety, performance, and error clarity, with Pyrefly defaulting to first-use inference for more actionable errors.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgo.dev%2Fblog%2Fallocation-optimizations%3Futm_source=tldrdevops/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/4xtodT1I2Wfo0AheBDmhUD3wS4ApGJ7QetdQ0X4y_cQ=446">
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<strong>Allocating on the Stack (7 minute read)</strong>
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Go 1.25 and 1.26 improve performance by allocating small slice backing arrays on the stack instead of the heap, reducing allocation and GC overhead. Even when slices escape, Go 1.26 can use a stack buffer first and move it to the heap only if needed, often cutting allocations down to one.
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<h1><strong>Resources & Tools</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fincident-management%2F2025-state-of-incident-management%3Futm_source=tldrdevops/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/X3SuuDJC8SHAiGtbv7yE4aabKP7sVvlSgDnyacYT5pE=446">
<span>
<strong>Atlassian report: the state of incident management - and the impact of AI (Sponsor)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
74% of IT and software professionals <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fincident-management%2F2025-state-of-incident-management/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/XscWW_nK64mfFQbRZYt_sVBRFf7wDLvX9VezOSv5zWk=446" rel="noopener noreferrer nofollow" target="_blank"><span>surveyed by Atlassian</span></a> were concerned about security -- but the majority of respondents were still using AI-powered incident management. Read additional findings in the <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fincident-management%2F2025-state-of-incident-management/2/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/VycN5KUD7mS_AdsIrMreewrknQpZCdRttCwlP5Gon8w=446" rel="noopener noreferrer nofollow" target="_blank"><span>State of Incident Management research study.</span></a>
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<strong>Markitdown (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
MarkItDown is an open-source Python utility from Microsoft that converts various file formats (including PDF, DOCX, PPTX, Excel, images, and audio) into Markdown for use with large language models and text analysis pipelines. The tool focuses on preserving document structure like headings, lists, and tables, supports integration with Azure Document Intelligence and LLM-powered image descriptions, and now includes a Model Context Protocol server for apps like Claude Desktop.
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<strong>memU (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
memU, an open-source memory framework for AI agents, was released to enable 24/7 proactive assistants that can anticipate user needs and act autonomously while significantly reducing LLM token costs. The system uses a three-layer file-system-like architecture to structure interactions into searchable intelligence and achieved 92.09% accuracy on the Locomo benchmark. A hosted service is now available at memu.bot alongside the enterprise-ready memU Bot (formerly OpenClaw).
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<strong>prek (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
prek is a framework to run hooks written in many languages, and it manages the language toolchain and dependencies for running the hooks.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Foctopus.com%2Fblog%2Focto-easy-mode-10-project-templates%3Futm_source=tldrdevops/1/0100019cae726a0b-bfc048e3-9e24-48e4-891d-51f4c37125ec-000000/aRqAq6fZNS-bhqzW8QGTQnEv08lXytBN2yabyE6AID0=446">
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<strong>Octopus Easy Mode - Project Tenant Variables (2 minute read)</strong>
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Experiments show random I/O on SSDs is ~25–35× slower than sequential reads, far above PostgreSQL's default random_page_cost = 4.0, meaning the default often underestimates true cost. Still, lowering it can make sense depending on caching and workload, so changes should be based on real performance data, not just SSD assumptions.
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