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Non-deterministic agents pose specific challenges for platform teams in observability, state management, governance, and trust.
Mauricio (Salaboy) Salatino explains why agentic applications behave like distributed multi-agent systems. His test assigned agents to take an order, cook the pizza, deliver it, and charge the customer. One order crossed 15 containers and produced 200 traces.
In this interview:
Machine Learning Engineer with Roku
Salary: US$112.5K to US$209K a year
Location: based in the office (and remote from home) in Cambridge, GB
Tech stack: Kubernetes, Kubernetes, AWS, GCP, metrics, logs, observability, tracing, Trino, Kafka
Platform Engineer with Roku
Salary: $18.23K to $2.64L a year
Location: based in the office (and remote from home) in Bengaluru, IN
Tech stack: Kubernetes, Kubernetes, EKS, AKS, AWS, GKE, Docker, Telemetry, Loki, observability
Site Reliability Engineer with Roblox
Salary: $243.29K to $295.25K a year
Location: based in the office in San Mateo, CA, USA
Tech stack: Kubernetes, Kubernetes, Nomad, Consul, Vault, alerting, monitoring, secrets management, C#, Go
Platform Engineer with Roblox
Salary: $196.75K to $243.29K a year
Location: based in the office in San Mateo, CA, USA
Tech stack: Kubernetes, On-Prem, Kubernetes, Cloud, alerting, monitoring, logging, tracing, ingress gateways, Envoy
DevSecOps Engineer with Iru
Salary: $400 a day
Location: remote from
Tech stack: Kubernetes, Kubernetes, AWS, Azure, GCP, GitHub, CI/CD, GitHub Actions, OAuth, Snyk
Discover more Kubernetes jobs on Kube Careers →
github.com/netobserv
NetObserv deploys an eBPF agent on every node to capture network flows, enrich them with Kubernetes metadata, and export to Loki, Prometheus, Kafka, or IPFIX — with a web console showing topology, raw flows, and traffic metrics.
kpf: a terminal UI for kubectl port-forward
github.com/jessegoodier
kpf is a terminal UI around kubectl port-forward that lets you pick a service from a list and reconnects automatically when a pod restarts or your laptop wakes up.
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Until next time!
— Dan
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