mirrord

Run local code against a real Kubernetes cluster without deploying

Developer Tools Cloud Infrastructure CI/CD & DevOps metalbear.com

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Founded

2022

Starting Price

About mirrord

mirrord is a Kubernetes development platform from MetalBear that connects a locally running process to a live cluster, so file I/O, network calls, DNS, environment variables and secrets are transparently proxied through a temporary pod instead of requiring a deploy. The open-source CLI covers individual use, while the commercial mirrord for Teams adds the mirrord Operator for session isolation, queue splitting, database branching, RBAC and audit logging on a shared cluster. Teams also use it to give AI coding agents such as Claude Code, Cursor and Copilot a real feedback loop against staging infrastructure.

Pros & Cons

Pros

Removes the need for per-developer cloud environments, which is where most of the cost and drift in Kubernetes dev workflows comes from
Language-agnostic because it hooks libc and the syscall layer rather than shipping per-framework SDKs, so Go, Java, Node, Python, Ruby, .NET and PHP all work the same way
Transparent per-seat pricing at $50/seat/mo with self-serve signup and no credit card for the trial, which is rare in this category
Locally run AI coding agents are included in the seat price instead of being metered separately
Published customer outcomes are specific: monday.com runs 350+ engineers on one shared staging cluster, CoLab cut test cycle time from 15 minutes to 10 seconds
SOC 2 and ISO 27001 certified, with RBAC, policies and audit logging on the paid tiers

Cons

Only useful if your team already runs Kubernetes; there is nothing here for teams on plain VMs, serverless or a monolith
The paid tiers require installing the mirrord Operator in your cluster, which means a platform-team conversation rather than a pure developer purchase
The features most teams actually want at scale — CI integration, preview environments, cloud agents, high availability — are Enterprise-only with undisclosed pricing
Shared-cluster development still needs etiquette and policy work; isolation reduces but does not eliminate the risk of one developer affecting others
The free trial is an Enterprise trial that drops to the entry-level Team tier after 7 days, so evaluations can be misleading about what you end up with

Key Features

Remocal development

Runs your code on your laptop while its file, network, DNS and environment calls are proxied into a real Kubernetes cluster, so you get production-like fidelity without deploying anything.

mirrord Operator and session isolation

A Kubernetes operator installed in your cluster that isolates concurrent sessions, so many developers and agents can target the same shared staging environment without stepping on each other.

Queue splitting

Splits message-queue traffic so a local process consumes only the messages meant for it, instead of stealing from the shared workload.

Database branching

Gives a session its own branch of the target database so writes during local testing do not contaminate the shared environment.

RBAC, mirrord Policies and audit logging

Access controls that restrict which targets and namespaces a user can connect to, plus usage monitoring and auditing for who ran what against the cluster.

mirrord for AI agents

Lets coding agents such as Claude Code, Cursor, Copilot, Codex and Windsurf run and verify their generated code against live services, read-only by default. Locally run agents are included in the seat price.

Preview environments

Enterprise feature that deploys a change into the cluster on its own TTL with request isolation, so a PR can be reviewed as a running environment rather than a diff.

mirrord for CI

Enterprise feature that runs CI integration tests against your real staging cluster instead of maintaining ephemeral clusters or stale mocks.

Broad language and IDE coverage

Works at the libc and syscall layer, so it supports Go, Rust, Node.js, Python, Java, Kotlin, Ruby, .NET and PHP, with VS Code and JetBrains plugins.

Advanced Kubernetes targets

Targets multi-pod deployments, Jobs and StatefulSets, with high availability, live scaling and air-gapped cluster support on Enterprise.

Pricing

Open Source

$0/month

mirrord OSS CLI and IDE plugins
Runs entirely from your machine
No operator installed in the cluster
Individual use, no session isolation
Community Slack support

Team

$50/user/month

Shared cluster access with session isolation
Queue splitting and conflict resolution
Database branching
RBAC, mirrord Policies and mirrord Profiles
Multi-pod deployments, Jobs and StatefulSets
mirrord for local AI agents included
Usage monitoring and auditing
Email and Slack support, 48h SLA
Self-serve credit card billing, free trial with no card

Enterprise

Custom/year

Everything in Team
Preview environments
mirrord for cloud AI agents (concurrent sessions)
mirrord for CI
High availability and live scaling
Air-gapped clusters
Custom SLA from 24h and a dedicated support channel
Onboarding and professional services
Invoice or Google Cloud Marketplace billing

Best For

Local development against shared staging

Engineers run services on their laptops wired into one shared cluster's real databases, queues and dependencies, so the team stops provisioning and maintaining a full environment per developer.

Giving AI coding agents a real feedback loop

Claude Code, Cursor, Copilot and similar agents execute their generated code against live services and verify it themselves, read-only by default, instead of guessing against mocks.

CI integration tests against real infrastructure

Enterprise teams point CI integration suites at the actual staging cluster rather than spinning up ephemeral clusters or maintaining mock services that drift from production.

Preview environments for pull requests

Deploy a branch into the cluster with request isolation and a TTL so reviewers and stakeholders click through a running change instead of reading a diff.

Faster onboarding for new engineers

New hires connect to the shared cluster instead of spending days standing up a local stack; monday.com reports onboarding dropping from 3-5 days to under an hour.

Debugging microservices in their real context

Attach a local debugger to a service that sees the cluster's real traffic, secrets and service mesh, which reproduces integration bugs that never appear against mocks.