kube2iam
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kube2iam provides IAM credentials to containers running inside a Kubernetes cluster based on annotations.
kube2iam --kubeconfig ~/.kube/config kube2iam --resolve-duplicate-cache-ips
Summary
kube2iam is an open-source agent that gives Kubernetes pods AWS IAMAWS IAMAWS Identity and Access Management is Amazon's service for controlling who and what can call AWS APIs, by attaching policies that allow or deny actions on resources. Cyber tools use it to scope credentials to least privilege. credentials by intercepting each node's EC2EC2Amazon's cloud virtual-machine service, letting tools run on-demand servers without managing physical hardware. metadata API calls and returning temporary credentials for a role specified via pod annotation, rather than sharing one instance-profile role across every container on a node. It runs as a container with host networking on each worker, redirecting metadata traffic to itself and proxying everything else, so it is aimed at platform and infrastructure teams running self-managed Kubernetes on AWS. Its own README says that on EKSEKSAmazon's managed Kubernetes service, run by AWS, that handles control-plane provisioning so teams can deploy containerized workloads without operating the underlying cluster infrastructure themselves., IAM roles for service accounts should be a drop-in replacement and is preferred, positioning kube2iam as the answer for clusters that predate or don't use that feature. First committed in 2016, it has drawn 86 contributors, with 40 commits in the past year showing it is still maintained.
kube2iam provides IAM credentials to containers running inside a Kubernetes cluster based on annotations.
How kube2iam helps
Which pods in my cluster are able to reach AWS resources they shouldn't be able to touch?
intercepts each node's EC2 metadata calls and only hands back credentials for the IAM role named on that pod's own annotation, so no container inherits the node's broader instance-profile role
Can I stop giving every container on a node the same AWS permissions?
replaces the shared instance-profile role with per-pod role assumption at the metadata-proxy layer, so a compromised or misconfigured container is scoped to its own annotated role instead of the node's union of roles
How do my containers get temporary AWS credentials without me distributing keys?
proxies all other EC2 metadata traffic transparently and, for credential requests, calls AWS itself to assume the annotated role and returns the temporary credentials in the same response shape the AWS SDK already expects
Which IAM role is actually in effect for a given pod right now?
reads the role directly from that pod's annotation at request time, so the answer to "what can this pod do in AWS" is whatever role string is attached to it, not whatever the node happens to carry
Do I need to keep running this once I move to EKS?
its own README says IAM roles for service accounts should be a drop-in replacement on EKS and is preferred, so the question resolves to no for clusters that can use that native feature
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Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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Innovation & surface new capabilities, API and MCP surface
- Community health
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Contributor trend distinct committers, this year against last
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Maintainer concentration bus factor now against a year ago
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Issue backlog trend issues closed per issue opened, 12 months
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Responsiveness median time to a maintainer’s first reply
Nine scores for kube2iam, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.
How this is scored
- Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
- Documentation quality — the release-notes rubric published on the analytics page, unchanged.
- Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
- Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
- Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
- Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
- Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
- Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.
Release-note detail over time
See how much detail kube2iam puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
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Releases
8 entries
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- May 20261
- May 20251
- March 20221
- March 20201
- July 20191
- August 20182
- April 20171
Project health
Issue, contributor and maintainer activity in jtblin/kube2iam, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 2 −4 vs prior 12 months
- Maintainers 1 +0 joined · −1 left, last 12 months
- Bus factor 1 committers behind half the commits
- Community-filed 100% of issues opened, last 12 months
- Median time to close 2.1 years first maintainer reply 139 days
- Open backlog 4 of 235 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 4
- Contributors / month 0
- Commits / month 0
- Stars 2,042
- other 100%
Counts from the project's public repository and git history; no individuals are identified. Maintainers are the committers covering 80% of the last year's commits. how we measure this
Libraries its release ships
What its latest release locks, checked against known advisories.None of its release's images build from a lockfile we can read.
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