Blog — page 22 of 38
How many browsers can one machine actually run?
Everyone discovers the browser concurrency limit the same way: by exceeding it. The number is set by memory, it's lower than you'd guess, and the failure past it looks like flaky tests.
Sandboxing AI Resume-Screening Agents With MicroVMs
A resume is a file you didn't write, from a person you haven't vetted, headed straight into an LLM prompt with the next candidate's data still warm in the same process. One microVM per candidate fixes that.
Per-Tenant MicroVM Isolation for Thumbnail Generation
A JPEG should not be able to read your AWS credentials. It can, though, if your thumbnailer shares a worker with every other tenant's uploads.
MicroVM Isolation for AI Invoice OCR and Extraction
An invoice-extraction agent is a program that runs an untrusted PDF parser, then an LLM that reads whatever text that parser found, then writes a number into your payment system. Give every invoice its own microVM.
Isolating AI Translation Agents on microVMs
Your translation agent will render 'ignore all previous instructions' flawlessly into fourteen languages. That's not a bug in the model — it's a bug in your architecture. Fix it with per-tenant microVMs.
PandaStack vs Neon: Comparing Managed Postgres Providers
Neon popularized instant Postgres branching through storage-compute separation. PandaStack takes a different path — a dedicated microVM per database on the same substrate as your compute. Here's the honest trade-off.
PandaStack vs Supabase: an honest comparison
Supabase gives your schema an API. PandaStack gives your code a machine. They solve adjacent problems from opposite directions, and most teams asking this question actually want to know which direction matches their problem.
Running dotnet restore and dotnet build on untrusted code in a microVM
MSBuild will happily execute a .targets file the moment `dotnet restore` touches a package — no `dotnet run` required. Here's how to make that safe to do on repos you don't trust.
The best serverless function platforms in 2026
Every 'best serverless platform' list reads like a press release. This one compares isolation models, cold starts, and pricing shapes honestly — including where PandaStack does and doesn't fit.
E2B vs Modal: Which One Actually Fits Your Workload?
E2B and Modal both show up in AI infra conversations, but one is a sandbox for running agent-generated code and the other is a serverless compute platform for Python/ML workloads. A fair head-to-head on where each actually fits.
Best Database-as-a-Service Platforms (2026)
Every team outsources database ops to somebody eventually — the question is which isolation model, backup story, and pricing curve you're signing up for. Here's an honest walk through the major managed-database options in 2026, including where PandaStack's dedicated-VM-per-database model fits and where it doesn't.
Sandboxing AI incident-response agents: isolating the runbook
An LLM that can read a P1 alert and run kubectl commands is either your best on-call engineer or the fastest way to turn a blip into an outage. The difference is where it's allowed to execute.
AI Contract Review Agents: Isolating Privileged Documents in MicroVMs
An LLM that hallucinates a clause is embarrassing. An LLM whose sandbox leaks one client's term sheet into another client's session is a malpractice claim with your firm's name on it.
AI agents that edit podcasts and video: sandboxing the render pipeline
The moment an editing agent runs ffmpeg on a file a stranger uploaded, your threat model stops being "untrusted code" and starts being "untrusted bytes owning the parser that reads them."
Firecracker vs crosvm: two rust-vmm siblings, two different jobs
They share a language, a KVM backend, and literal git history in rust-vmm. Past that, one was built to run thousands of headless server guests behind a REST API, and the other was built to put a graphical Linux desktop inside a Chromebook. The device model gives it away immediately.
PandaStack vs Replit
Replit Agent builds an app for you, inside Replit's own browser tab. PandaStack doesn't build anything — it's the compute layer underneath somebody else's agent, including possibly yours. Different jobs wearing similar marketing copy.
Best Postgres Database Branching Platforms (2026)
Every PR gets its own database, every AI agent gets a disposable one to run migrations against, and nobody argues over a shared staging box anymore — that's the promise of database branching. Here's an honest look at who builds it and how, so you can pick the isolation model that actually fits your team.
Best Preview Environment Platforms (2026)
Every pull request can now get a live, clickable URL — reviewers want it, QA wants it, and increasingly AI coding agents need one to check their own work. A qualitative, hedged look at where Vercel, Netlify, Railway, Render, Northflank, GitHub Codespaces, and PandaStack each sit on isolation model, database handling, and boot latency.
Running bundle install on untrusted Ruby code in a microVM
`bundle install` doesn't just run scripts — for gems like nokogiri, pg, and bcrypt it invites a C compiler to build attacker-controlled source on your machine. Here's how to make that safe.
Firecracker config file vs REST API: two ways to boot a microVM
Firecracker will take your machine description two different ways: hand it one JSON document up front and let it boot itself, or drive it step by step over a socket. They produce the same VM. They are not interchangeable.
Snapshot-Restore vs Live Migration: Not the Same Problem
Live migration moves ONE running VM to a new host without dropping it. Snapshot-restore freezes ONE VM once and restores it as MANY new ones. They both involve freezing a machine and picking it up somewhere else, and that's exactly where the confusion starts.
Deploying a Next.js app to a microVM from git
Git-push deploys are a solved problem right up until the build machine and the runtime machine are the same box, or the runtime is a container that quietly shares a kernel with forty strangers. Here's the pipeline when every app gets its own VM instead.
Scale-to-zero app hosting, and what it costs you
Most hosted apps serve nothing for most of the day, and you pay for all of it. Scale-to-zero fixes that — as long as you understand the wake path, and as long as your uptime monitor isn't quietly defeating the whole thing.
What it takes to build a PaaS on Firecracker
Every few months someone posts 'I built a Heroku in a weekend on Firecracker'. The VM part is genuinely a weekend. The other nine components are where the next two years go — here's the honest inventory.