Last week I watched a platform engineer spend four hours manually generating Terraform for 30 EC2 instances. Four hours spent on something a machine could do in seconds.

This was a senior SRE doing what every platform team does: manually converting ClickOps into code because they don't have a better option. Write the Terraform resource block, add the dependencies, figure out the modules. Then, test it and fix the errors. Repeat 30 times.

I've been building DevOps tooling for years, and this problem has always driven me crazy. Not because engineers are doing anything wrong, but because they're solving problems that machines should be solving for them. So at Firefly, we built automation specifically to handle the repetitive, mundane tasks that eat up your time.

Let me show you what that looks like.

The Problem: Manual Work That Shouldn't Require Humans

Here's what most platform teams are dealing with right now, and I know this because we talk to hundreds of them. You've got infrastructure scattered across AWS, Azure, GCP, and Kubernetes. Some resources are managed by Terraform. Some by CloudFormation. Some were created six months ago by a developer who's not even at the company anymore. Your job is to inventory all of it, keep it secure, make it compliant, and somehow move faster.

So what actually happens?

You manually inventory resources. Someone writes a script that hits AWS APIs and dumps everything to a spreadsheet. It breaks when AWS changes their API. It doesn't capture relationships between resources. It's a snapshot that's outdated the moment you run it.

You manually convert ClickOps to IaC. When you find unmanaged resources, you either write Terraform from scratch (slow, tedious, error-prone) or use terraform import which generates messy code without dependencies. Either way, you're doing work a machine could do.

You manually detect and fix drift. You compare your Terraform state to what's actually running in the cloud. You find differences. You manually write the remediation code. You open a PR. You wait for review. You deploy. And next week, you do it all over again (because drift is inevitable).

You manually enforce policies. Someone creates a policy document. You manually check if resources comply. You manually create Jira tickets for violations. You manually write fixes. You manually track remediation. It's unsustainable at scale.

This is all manual toil. Repetitive work that follows predictable patterns. Work that doesn't require human creativity but absolutely requires human time. And it's completely solvable with the right automation.

What We Built to Fix It at Firefly

So here's what we did at Firefly. We built automation that actually handles these tasks without requiring you to maintain complex workflows or write scripts that break every time something changes.

Let me walk through what this automation actually does.

1. Continuous Discovery: Your Infrastructure, Always Up to Date

Firefly continuously scans your entire cloud footprint. AWS, Azure, GCP, Kubernetes, plus SaaS providers like Datadog and Okta. The automation runs in the background and builds a complete inventory automatically.

Every resource gets classified without human intervention: managed (covered by IaC), unmanaged (ClickOps), drifted (IaC exists but doesn't match reality), or ghost (in state file but deleted from cloud). Firefly identifies relationships and dependencies automatically. Security groups connected to EC2 instances. Load balancers pointing to target groups. VPCs containing subnets. All of it mapped without you writing a single script.

And it’s not just a point-in-time snapshot. The inventory updates continuously as your infrastructure changes. New resources appear automatically. Deleted resources get flagged. Drift shows up in real-time.

We built this because manually maintaining infrastructure inventory is a losing battle. Your cloud changes faster than humans can document it.

2. Automated Codification: From ClickOps to IaC in Seconds

This is one of my favorite capabilities because it solves the exact problem I described at the beginning: converting unmanaged infrastructure to code.

Firefly's codification engine generates IaC automatically for unmanaged resources. Terraform, Pulumi, CloudFormation, whatever you use. Complete with dependencies and modules. You don't reverse-engineer infrastructure manually. You click "codify" and the automation generates the code.

And here's the thing: the generated code isn't garbage. It includes proper dependencies, uses modules where appropriate, and follows Terraform best practices. We spent a lot of time making sure the automation produces code you'd actually want to use.

3. Drift Detection and Auto-Remediation: Fix Issues While You Sleep

Drift is inevitable. Developers make manual changes. Security teams update configurations. Incidents happen and someone fixes things directly in the console. The question isn't whether drift will occur. It's whether you can catch it and fix it quickly.

Firefly continuously compares your live infrastructure against IaC state and automatically detects drift. When it finds differences, the automation generates the fix as code, ready to commit as a pull request. You review and approve, but you're not manually writing the remediation.

The automation handles the tedious part (detecting drift, generating fixes). You handle the smart part (reviewing changes, deciding what to deploy).

4. Shift-Left Automation: Catch Issues Before They're Deployed

Here's where automation gets really powerful. Everything Firefly detects in your live cloud can also be checked before deployment.

The automation runs in your CI/CD pipeline and checks every Terraform plan against the same policies you enforce in production. Someone tries to deploy an S3 bucket with public access? Firefly catches it in the plan and fails the pipeline. No manual review needed. The automation blocks it.

Misconfigured security group? Automation catches it. Missing encryption? Automation catches it. Non-compliant resource? Automation catches it. All before the code merges, all before it reaches your cloud.

And when violations are found, Firefly automatically generates the fix. You're not manually writing remediation for policy violations across hundreds of resources. The automation handles it.

We built this because manual policy enforcement doesn't scale. By the time you catch violations in production, the damage is done. Shift-left automation prevents issues instead of just detecting them.

5. Workflow Automation: Deploy Infrastructure with Zero Manual Gates

Firefly Workflows automate the entire infrastructure deployment lifecycle. Connect your VCS, and the automation takes over.

Code change detected? Automation runs a Terraform plan in an isolated environment. Policy violations? Automation flags them pre-merge. Cost impact? Automation calculates it. Tag coverage? Automation validates it. Everything gets logged for audit trails automatically.

The automation enforces guardrails without you building them. The apply step runs in the same environment. Every action is logged. Every change is rollback-ready. Your team gets velocity without sacrificing control.

6. DR Automation: Actually Be Ready When Disaster Strikes

Most DR plans fail because they require too much manual intervention when things are on fire. Firefly automates disaster recovery by continuously creating snapshots of your infrastructure as IaC. Configurations captured automatically. Dependencies mapped automatically. If disaster strikes, you can restore environments in different regions or accounts automatically. This is disaster recovery, or DR-as-Code.

The automation means you're actually prepared, not just theoretically prepared. And you're prepared continuously, not just after someone remembers to run the backup script.

What This Actually Looks Like When It Works

Let me show you what happens when teams stop doing things manually.

Comtech saved $180,000 annually. They used Firefly's automated governance to continuously identify waste: untagged resources, unused EBS volumes, idle instances. Instead of manually hunting for optimization opportunities, the automation finds them continuously. Their team said: "We copied and pasted our way to $180,000 in annual savings. For those savings alone to pay for Firefly would be huge. But to pay for it three times over is phenomenal."

Aspyr got visibility and optimization they couldn't achieve manually. Before Firefly, they had resources deployed without proper planning and couldn't manage them effectively. The automation gave them continuous visibility, automated optimization recommendations, and significant cost savings. "Firefly has truly transformed the way we manage our infrastructure."

Xvoucher accelerated their Terraform adoption dramatically. They were manually transitioning everything to IaC, which was slow and painful. Firefly's automated codification made the shift faster and less error-prone. "This shift to infrastructure-as-code has made us feel more productive and engaged, empowering us to accomplish more."

The pattern across these teams is consistent: automation handles repetitive tasks, engineers focus on work that actually requires human intelligence and creativity.

Try It Yourself: Firefly’s Free Trial 

Truthfully, I'm not saying automation will solve every problem you have. But if you're spending hours manually inventorying resources, generating Terraform, or tracking down policy violations, you're solving problems that have already been solved.

First, connect your cloud accounts to Firefly (read-only to start). The automation kicks in immediately: continuous scanning, automatic inventory, drift detection, policy enforcement, everything. You don't configure complex workflows. The automation just works.

From there, enable automated codification for unmanaged resources. Turn on shift-left governance in your CI/CD. Let Firefly automatically generate fixes for drift and violations. The more automation you enable, the more time you get back.

We built Firefly because we lived with these problems. We know what it's like to manually manage multi-cloud infrastructure at scale. We know the pain of converting ClickOps to IaC by hand. We built the automation we wish we'd had. So try it. See what automation gives you back. Then tell me if you want to go back to doing it manually.

Try Firefly yourself or request a demo. Because I, for one, welcome the machines to handle the machines.

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