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| 🔗 Stories, Tutorials & Articles |
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| How Salesforce Delivers Reliable, Low-Latency AI Inference ✅ |
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Salesforce’s AI Metadata Service (AIMS) just got a serious speed boost. They rolled out a multi-layer cache—L1 on the client, L2 on the server—and cut inference latency from 400ms to under 1ms. That’s over 98% faster.
But it’s not just about speed anymore. L2 keeps responses flowing even when the backend tanks, bumping availability to 65% during failures. Services like Agentforce stay up, even if they’re limping a bit.
System shift: What started as a performance tweak is now core to how Salesforce keeps its AI standing tall under pressure. |
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| Does platform engineering make sense for startups? |
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Platform engineering isn't just for the big dogs anymore. Startups are picking it up as a strategic edge, building tight, high-leverage tooling from day one.
Think: templated CI/CD pipelines, plug-and-play infra modules, zero-handoff onboarding. Done right, these early bets smooth the path and keep dev velocity high.
Bigger shift: Startups are shipping their internal platforms like real products. Dev experience isn’t an afterthought—it’s part of the value prop. |
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| A practical guide on how to use the GitHub MCP server |
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Running the Model Context Protocol (MCP) server locally works, but managing Docker, rotating access tokens, and pulling updates is a hassle. GitHub’s managed MCP endpoint eliminates these infrastructure headaches, letting users focus on shipping code.
In a 201-level tutorial, users can learn to upgrade from the local MCP setup to GitHub’s managed endpoint. This transition provides OAuth authentication, automatic updates, and access to toolsets that enhance AI workflows. |
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| Faster Index I/O with NVMe SSDs |
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A search service (Marginalia Search) gutted its old index internals and dropped memory-mapped B-trees. In their place: a deterministic, block-aligned skip list tuned for direct reads on NVMe SSDs.
It runs on 128KB block sizes, uses custom buffer pools, and leans hard on io_uring for async position lookups. The payoff? Noticeably faster reads and cleaner latency across the board.
Why it matters: More systems are ditching mmap and building SSD-first, hardware-aware data structures. Marginalia just joined the modern camp. |
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| Estimate Your K8s Deployment Costs (Portainer Calculator) ✅ |
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A new TCO calculator breaks down what it really costs to run Kubernetes—DIY CNCF stacks, COSS platforms, and Portainer Business Edition. It crunches infra, labor, and software spend, then maps out staffing needs. It shows exactly where Portainer cuts Kubernetes bloat: it may be biased but it's worth trying!
Why it matters: Kubernetes isn’t hard because it’s complex. It’s hard because it’s expensive to run and staff. Tools that simplify ops and shrink headcount? Game-changers. |
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| AWS deleted my 10-year account and all data without warning ✅ |
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AWS permanently nuked a 10-year customer account—data, backups, everything—after a payment verification failed. That alone broke their own 90-day retention policy. It gets messier.
Looks like an internal script meant to run as a “dry run” went full send in production. Blame a Java CLI parsing edge case for turning a harmless test into actual deletion.
The kicker? The customer had done everything right: multi-region backups, redundancy, the works. None of it mattered. AWS’s internal misstep and a black-box support process left them with zero recovery options.
System shift: Cloud resilience isn’t just about redundant disks. It’s about factoring in your provider as a failure point too. |
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