This is a guest conversation episode of Ship It Weekly (separate from the weekly news recaps).

In this Ship It: Conversations episode I talk with Gracious James Eluvathingal about TARS, his “human-in-the-loop” fixer bot wired into CI/CD.

We get into why he built it in the first place, how he stitches together n8n, GitHub, SSH, and guardrailed commands, and what it actually looks like when an AI agent helps with incident response without being allowed to nuke prod. We also dig into rollback phases, where humans stay in the loop, and why validating every LLM output before acting on it is the single most important guardrail.

If you’re curious about AI agents in pipelines but hate the idea of a fully autonomous “ops bot,” this one is very much about the middle ground: segmenting workflows, limiting blast radius, and using agents to reduce toil instead of replace engineers.

Gracious also walks through where he’d like to take TARS next (Terraform, infra-level decisions, more tools) and gives some solid advice for teams who want to experiment with agents in CI/CD without starting with “let’s give it root and see what happens.”

Links from the episode:

Gracious on LinkedIn: https://www.linkedin.com/in/gracious-james-eluvathingal

TARS overview post: https://www.linkedin.com/posts/gracious-james-eluvathingal_aiagents-devops-automation-activity-7391064503892987904-psQ4

If you found this useful, share it with the person on your team who’s poking at AI automation and worrying about guardrails.

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This week on Ship It Weekly, Brian’s theme is basically: the “automation layer” is not a side tool anymore. It’s part of your perimeter, part of your reliability story, and sometimes part of your budget problem too.

We start with the n8n security issue. A lot of teams use n8n as glue for ops workflows, which means it tends to collect credentials and touch real systems. When something like this drops, the right move is to treat it like production-adjacent infra: patch fast, restrict exposure, and assume anything stored in the tool is high value.

Next is AWS quietly raising prices on EC2 Capacity Blocks for ML. Even if you’re not a GPU-heavy shop, it’s a useful signal: scarce compute behaves like a market. If you do rely on scheduled GPU capacity, it’s time to revisit forecasts and make sure your FinOps tripwires catch rate changes before the end-of-month surprise.

Third is Netflix’s write-up on using Temporal for reliable cloud operations. The best takeaway is not “go adopt Temporal tomorrow.” It’s the pattern: long-running operational workflows should be resumable, observable, and safe to retry. If your critical ops are still bash scripts and brittle pipelines, you’re one transient failure away from a very dumb day.

In the lightning round: Kubernetes Dashboard getting archived and the “ops dependencies die” reality check, Docker pushing hardened images as a safer baseline and Pipedash.

Links

SRE Weekly issue 504 (source roundup) https://sreweekly.com/sre-weekly-issue-504/

n8n CVE (NVD) https://nvd.nist.gov/vuln/detail/CVE-2026-21858

n8n community advisory https://community.n8n.io/t/security-advisory-security-vulnerability-in-n8n-versions-1-65-1-120-4/247305

AWS price increase coverage (The Register) https://www.theregister.com/2026/01/05/aws_price_increase/

Netflix: Temporal powering reliable cloud operations https://netflixtechblog.com/how-temporal-powers-reliable-cloud-operations-at-netflix-73c69ccb5953

Kubernetes SIG-UI thread (Dashboard archiving) https://groups.google.com/g/kubernetes-sig-ui/c/vpYIRDMysek/m/wd2iedUKDwAJ

Kubernetes Dashboard repo (archived) https://github.com/kubernetes/dashboard

Pipedash https://github.com/hcavarsan/pipedash

Docker Hardened Images https://www.docker.com/blog/docker-hardened-images-for-every-developer/

More episodes and more details on this episode can be found on our website: https://shipitweekly.fm

This is a guest conversation episode of Ship It Weekly (separate from the weekly news recaps).

I sat down with Danny Teller, a DevOps Architect and Tech Lead Manager at Tipalti, to talk about internal developer platforms and the reality behind “just set up a developer portal.” We get into Backstage versus internal IDPs, why adoption is the real battle, and why platform/DevEx maturity matters more than whatever tool you pick.

What we covered

Backstage vs internal IDPs Backstage is a solid starting point for a developer portal, but it doesn’t magically create standards, ownership, or platform maturity. We talk about when Backstage fits, and when teams end up building internal tooling anyway.

DevEx muscle (the make-or-break) Danny’s take: the portal UI is the easy part. The hard part is the ongoing work that makes it useful: paved roads, sane defaults, support, and keeping the catalog/data accurate so engineers trust it.

Where teams get burned Common failure mode: teams ship a portal first, then realize they don’t have the resourcing, ownership, or workflows behind it. Adoption fades fast if the portal doesn’t remove real friction.

A build vs buy gut check We walk through practical signals that push you toward open source Backstage, a managed Backstage offering, or a commercial portal. We also hit the maintenance trap: if you build too much, you’ve created a second product.

Links and resources

Danny Teller's Linkedin: https://www.linkedin.com/in/danny-teller/

matlas — one CLI for Atlas and MongoDB: https://github.com/teabranch/matlas-cli

Backstage: https://backstage.io/

Roadie (managed Backstage): https://roadie.io/

Port: https://www.port.io/

Cortex: https://www.cortex.io/

OpsLevel: https://www.opslevel.com/

Atlassian Compass: https://www.atlassian.com/software/compass

Humanitec Platform Orchestrator: https://humanitec.com/products/platform-orchestrator

Northflank: https://northflank.com/

If you enjoyed this episode Ship It Weekly is still the weekly news recap, and I’m dropping these guest convos in between. Follow/subscribe so you catch both, and if this was useful, share it with a platform/devex friend and leave a quick rating or review. It helps more than it should.

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