Spotlight

Structured Matching, Patching, and Diffing Done Right

Scott Cotton

This article introduces Tony format, a tool that unifies matching, patching, and diffing operations on YAML and JSON using a single typed tree representation with tag-based extensions like !dive, !key, and !if for structural transformations.

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Tools and utilities

  • Flux Operator: simplified Flux

    flux-operator simplifies the configuration of Flux multi-tenancy lockdown, sharding, horizontal and vertical scaling, persistent storage, and allows fine-tuning the Flux controllers with Kustomize patches.

  • KCL: constraint-based language

    KCL allows developers to create modular, scalable, and stable configurations.

  • CronJob Guardian: monitoring operator

    CronJob Guardian monitors Kubernetes CronJobs with dead-man's switch detection, SLA tracking for success rates and duration regressions, intelligent alerting via Slack/PagerDuty/webhook/email, and a built-in web dashboard with charts and metrics export.

  • Forecastle: dashboard control plane

    Forecastle is a control panel which dynamically discovers and provides a launchpad to access applications deployed on Kubernetes.

  • Benchmark Suite for Gateway API Implementations

    This tool provides a comprehensive test suite to evaluate real-world behavior (latency, scale, route propagation, traffic) of Kubernetes Gateway API implementations, beyond basic conformance.

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Matching jobs

    • Data Engineer with Astranis

    • Salary: $29 a year

    • Location: based in the office in San Francisco, CA, USA

    • Tech stack: Kubernetes, Python, SQL

    • Data Engineer with Coface

    • Salary: $64.8K to $2.48L a year

    • Location: based in the office in Mumbai, IN

    • Tech stack: Kubernetes, Docker, SQL, Python

    • DevOps Engineer with AssureSoft

    • Salary: $90K to $198K a year

    • Location: remote from

    • Tech stack: Kubernetes, AWS, GCP, ArgoCD, Terraform

    • DevOps Engineer with Avride

    • Salary: $54K to $325.49K a year

    • Location: based in the office in Austin, TX, USA

    • Tech stack: Kubernetes, AWS, Docker, C++, Python, GitHub Actions

    • DevOps Engineer with Candidly

    • Salary: $70.74K to $539K a year

    • Location: remote from

    • Tech stack: Kubernetes, AWS, Azure, On-premise, Docker, Python, SQL, MySQL, Cloudformation, CDK

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