Mykhailo Marynenko

Mykhailo Marynenko

@bsky.0x77.dev

CTO / @osventuresllc.bsky.app | software & hardware engineer, AI/ML & security researcher, visual artist. https://mykhailo.link | https://0x77.dev

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Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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Sometimes the "best practice" is knowing when to ignore the best practices. The goal isn't perfect Infrastructure as Code. The goal is reliable infrastructure that your team can actually maintain, debug, and operate without losing sleep.

So before you write another Terraform module, ask yourself: "Does this actually need to be infrastructure as code, or am I just doing it because that's what we're supposed to do?" Your future self (and your on-call rotation) will thank you.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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The Bottom Line: Terraform and OpenTofu aren't bad tools - they're just overused tools. The real problem isn't the software, it's the industry's obsession with making everything "Infrastructure as Code" even when it makes operations more complex and fragile.

Sometimes the most professional thing you can do is tell your team that not everything needs to be in Terraform. Sometimes a bash script is the right answer. Sometimes clicking through the console is perfectly fine for that one-off resource.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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The Industry Reality Check: The dirty secret is that most successful infrastructure teams use Terraform for maybe 20% of their actual infrastructure management. The other 80% is handled by specialized tools, scripts, and yes, sometimes even manual processes where that makes more sense.

The companies with the most reliable infrastructure aren't the ones with the most comprehensive Terraform configurations. They're the ones that picked the right tool for each job and didn't try to force everything into a single "Infrastructure as Code" paradigm.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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Embrace hybrid approaches. Use Terraform for the foundation, then use cloud-native tools for everything else. Don't force everything through one tool just for consistency's sake. Let each tool do what it does best.

Focus on operational reality. Optimize for debugging, not elegance. Prioritize clarity over cleverness. Plan for the 3 AM production incident when you're half-asleep trying to figure out why the apply failed. Document why you made decisions, not just what the code does.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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Don't ignore blast radius. One monolithic Terraform state managing 500 resources across every environment is a ticking time bomb. Break it up by failure domains and operational boundaries, not by "logical separation" from some consultant's diagram.

The Sane Terraform Strategy: Start simple and stay simple. Write plain Terraform first. Add complexity only when you feel real pain, not because a blog post said you should. Test everything in disposable environments. Keep state files small and focused on related resources.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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Don't DRY yourself to death. Some repetition is good! Copy-pasting 3 similar resources is often cleaner than building a complex loop with conditional logic that nobody can debug at 3 AM. If you can't understand your own code in 6 months, you've gone too far.

Don't Terraform all the things. Your application code doesn't belong in Terraform. Your monitoring dashboards don't belong in Terraform. Your team's lunch orders don't belong in Terraform. Keep it focused on actual infrastructure.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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The Anti-Pattern Playbook: Stop over-modularizing everything. A simple aws_instance doesn't need to be wrapped in 3 layers of abstraction. Modules should solve real problems, not just follow "best practices" from blog posts.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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Configuration Management - Use Ansible, Salt, or good old bash scripts. Don't try to manage application configs through infrastructure tools. Secrets Management - Use dedicated secret stores, not Terraform state files. Your database passwords have no business being in a state file.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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Stateful Resources - Databases, storage buckets, DNS zones. Things you absolutely need to recreate identically if disaster strikes. Foundation Layer - IAM roles, policies, networking backbone. The plumbing that everything else depends on.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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But Here's The Real Issue: We're Using It Wrong Most Terraform disasters happen because we've bought into the myth that everything must be "Infrastructure as Code." This is like using a hammer for every job because someone told you "everything is a nail."

Here's what Terraform/OpenTofu is actually good at: Core Infrastructure - VPCs, subnets, security groups, load balancers. The foundational stuff that changes rarely and has clear dependencies.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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The Import Circus deserves special mention. Need to import existing infrastructure? Hope you enjoy playing "guess the exact configuration that matches your existing resource." Get one attribute wrong? Start over.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

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What we got was learning three different flavors of the same broken abstraction. My personal favorite error: "Provider produced inconsistent final plan." This is Terraform's way of saying "I have no idea what I'm doing, but it's definitely your fault.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

View full thread

Provider inconsistency is another nightmare. Each cloud provider implements Terraform differently. AWS provider works one way, Azure has its own special interpretation, GCP throws curveballs. "Multi-cloud" they promised. "Consistent experience" they said.

Let's talk about Terraform/OpenTofu - the tools that promised to revolutionize infrastructure management but instead gave us a masterclass in why "declarative" doesn't mean "predictable." After 10+ years in the trenches, here are the real issues nobody talks about.

Your tfstate is simultaneously the most critical and most fragile part of your entire infrastructure. One corrupted state file and you're manually rebuilding production at 2 AM while explaining to executives why "Infrastructure as Code" just broke everything that was working fine.

Then there's the Plan vs Apply Russian Roulette. terraform plan cheerfully shows you'll create 5 resources. terraform apply somehow destroys half your infrastructure and creates 3 resources you never asked for.

Ever seen music born from code? Livecoding is the underground revolution where performers write algorithms on stage, turning laptops into live instruments. No pre-recorded tracks – just real-time creation.

Comedy requires split-second emotional precision. You need to build tension, create vulnerability, nail timing, and connect with your audience's deepest feelings, all while making it look effortless.

It's so easy to experience a crash or kernel panic in macOS/Darwin when working with native code. I've lost count of how many times this has happened today while handling a high I/O project.

All three of my Macs have crashed, regardless of whether I'm using the beta or stable OS versions. In contrast, Linux has run flawlessly with the same codebase and similar syscalls.

Feels like Linux is soon to become an actual OS for everything, and yeah, the Linux community has been yapping about their superiority for decades now. But in 2025, it's closer to reality than ever, yet still has a long way to go before becoming a reality.

I now have a local and isolated mirror of everything from my most-used cloud services. It feels great! Additionally, having a local cache and partial mirror for Docker, Nix, APT, Pacman, HuggingFace, npm, and Conda over a 10G LAN is amazing!

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Rooted in Detroit's foundational brutalism but filtered through Ukrainian melancholy, his compositions unfold like sonic archaeology. Each track reveals layers of psychedelic decay, atonal experiments that challenge your perception of what techno can be.

This isn't music designed for seamless DJ transitions. It's uncompromising art that demands contemplation - hypnotic rhythms that pull you into meditative states while aggressive textures keep you alert.

What sets Tolkachev apart is his commitment to the imperfect, the organic chaos that emerges from modular synthesis. His sound breathes with the rawness of analog circuits pushed to their limits - jagged textures that feel carved from industrial concrete, yet somehow deeply emotional.

Effect truly makes TypeScript exciting again! I'd been favoring Rust for complex systems lately, but the primitives that Effect offers have brought new vibrancy to TypeScript development.