SRE · AI-Native · Partner-Led
Our Methodology
We didn't invent this. We apply it.
Coneixedor isn't running an experimental playbook. Every practice we bring to your infrastructure comes from frameworks that already define good engineering discipline elsewhere. We just apply them to AI startups who don't have someone in-house doing it yet.
Site Reliability Engineering
The discipline Google defined and open-sourced through the SRE book: service level objectives, error budgets, blameless postmortems, and systematic toil reduction. This is the foundation of every SRE Foundation engagement — the reliability practice your team owns long after we're gone.
DORA Metrics
The four metrics that define elite software delivery performance: deployment frequency, lead time for changes, change failure rate, and time to restore service. We measure every Deployment Transformation engagement against these, not invented numbers. BSEduworld's 45% faster deployments and zero deployment failures since go-live are DORA metrics.
CNCF Cloud Native Practices
The standards behind Kubernetes, container orchestration, and modern observability tooling, maintained by the Cloud Native Computing Foundation. This is what makes an AI Infrastructure Foundation or MLOps Pipeline engagement built to scale, instead of needing a rebuild at the next funding round.
DRY, Applied to Infrastructure
Don't Repeat Yourself isn't just a coding principle here. It governs how we write infrastructure-as-code and automation: no duplicated scripts across environments, no config that drifts out of sync because it exists in three places instead of one.
Staying Current With What Actually Works at Scale
Meta, Google, Netflix, and the other companies running the internet's largest products have already solved most of the reliability problems AI startups are about to run into: unpredictable load, expensive compute per request, infrastructure that has to hold as usage grows exponentially. We read their engineering blogs and take the patterns that actually apply — not the ones built for a scale you don't have yet.
None of this is proprietary. It's the same body of practice used across the industry. We just apply it specifically to AI startups at the exact stage where reliability starts to matter and nobody's been hired to own it yet.
Questions about how we work.
The frameworks behind the practice, explained directly.
See these frameworks applied to your infrastructure.
Thirty minutes with Krati. She'll show you exactly where SRE, DORA, and CNCF practice would change how your team ships and sleeps.