mkdev
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"Just dropping raw data into LLM and asking questions" is a surprisingly reliable and quick way to get some answers. This has consequences for how we treat observability data analysis - the topic of this article from Honeycomb: https://www.honeycomb.io/blog/its-the-end-of-observability-as-we-know-it-and-i-feel-fine
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A case of what happens if you let an LLM agent run a real vending machine. We are not that close to fully autonomous agents, but it’s impressive how far they got already: https://www.anthropic.com/research/project-vend-1
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DSQL is now generally available and is entirely per-usage based. Apparently, inserting 12 000 000 rows with 800mb of storage will cost you less than a dollar per month: https://marc-bowes.com/dsql-how-to-spend-a-dollar.html
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What you would usually use a front end framework for can now be achieved with CSS and occasional sprinkles of vanilla JavaScript. How is this related to cloud infrastructure and devops? Well, lack of framework means simpler builds, faster delivery and less moving pieces, dependency management and maintenance: https://www.jonoalderson.com/conjecture/its-time-for-modern-css-to-kill-the-spa/
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What does it take to crawl 1 billion pages in 2025? On AWS, following the architecture the author came up with: 25 hours; $500 and 12 EC2 instances. Check out the full article to see how: https://andrewkchan.dev/posts/crawler.html
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This is seriously cool stuff that will simplify certificate management a lot and remove at least one component from your K8s clusters: https://blog.nginx.org/blog/native-support-for-acme-protocol
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This is great, we don’t need to make everyone install extra tooling required to open up console sessions to our containers: https://aws.amazon.com/about-aws/whats-new/2025/09/ecs-exec-aws-management-console/
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As always, major Postgres releases bring a load of new features and improvements. Tudor Golubenco from Xata does a great job of giving us an overview together with practical examples: https://xata.io/blog/going-down-the-rabbit-hole-of-postgres-18-features
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This is smart: use S3 to transfer big amounts of data between A and B, due to the way S3 is priced. Definitely useful for big migrations that would otherwise cost a lot of data egress fees: https://www.bitsand.cloud/posts/slashing-data-transfer-costs/
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Numbers are impressive - the question is when we can get this as a default config, so that we don't need to activate this mode ourselves: https://aws.amazon.com/blogs/containers/introducing-seekable-oci-parallel-pull-mode-for-amazon-eks/
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Most famous use case for RDS Proxy is probably still "Lambdas", so it's nice to see a bit more traditional usage of this proxy, at scale: https://klaviyo.tech/pooling-connections-with-rds-proxy-at-klaviyo-e79e04120188
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It’s features like this, not more Bedrock stuff, that makes us excited about AWS again: https://aws.amazon.com/blogs/aws/introducing-amazon-ebs-volume-clones-create-instant-copies-of-your-ebs-volumes/
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An entertaining (but probably not for everyone) walk through how environment variables work: https://allvpv.org/haotic-journey-through-envvars/
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Since April, Montana is the first U.S. state to enshrine ‘Right to Compute’ into law. Thanks, Governor Dutton! https://montananewsroom.com/montana-becomes-first-state-to-enshrine-right-to-compute-into-law/
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This must be the first exciting none traditional Terraform state usage we saw in a couple of years: https://awsteele.com/blog/2025/10/26/querying-terraform-state-with-aws-athena.html
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A step by step walkthrough with all the commands of upgrading from PG 13 to PG 16. Worth bookmarking for the future: https://palark.com/blog/postgresql-upgrade-no-data-loss-downtime/
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We are not going to give you any spoilers, except that its going to be the most beautiful and fun thing you'll read about AI art today or ever: https://theoatmeal.com/comics/ai_art
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A lot happened in 2025 in the world of LLM. This is the best article you can read about all of it: https://simonwillison.net/2025/Dec/31/the-year-in-llms/