2022-05-14, 15:35–16:05, Gallery
Do you know how much your workloads cost? Are you worried about your underutilisation resources? Do you have a tag allocation strategy set in place? Would you like to have a fairly approximate cost report on real time from your Kubernetes resources? Could your teams have control and visibility of their Kubernetes resources cost?
The motivation of this talk is to show how the action of our workloads have an impact in the final invoice of our cloud provider and how can we get visibility and have decisions based on metrics. Embrace Cloud FinOps culture in your company highlighting the sustainability
Calculate cost inside your Kubernetes cluster is complex, this talk will show how you can check the cost of your Kubernetes resources using a simple approach, promoting decision metrics driven thankfully to a near realtime cost calculation. Besides, this talk will embrace Cloud FinOps culture where everyone takes ownership of their cloud usage and take care of sustainability because all the underutilization Kubernetes resources has a carbon footprint in our planet.
Curious, eager to learn, and passionate about the DevOps world (culture, movement, practice, or however it is called these days), although I am much more inclined towards the Ops than the Dev part. And puzzles, puzzles are cool. Identifying, analyzing, and solving them is cool (like node_exporter clogging dbus with the systemd collector, or the "net_device: waiting for eth0 to become free" race condition in CentOS 7 and k8s).
I´ve worked with orchestrators (Kubernetes, Mesos - DC/OS) and some other technologies in the "DevOps world" (Docker, Ansible, Terraform, Etcd, Vault, Consul, Prometheus ecosystem, Grafana, to say some). As for the Dev part, I can manage in bash, python, and go (I'm very rusty in java though). In the Ops world, I've worked with CentOS and Ubuntu, and I like engaging in anything related to networking (iptables, balancers, tcpdumping whenever I can, that's why I did a Ph.D. in Telematics). At the same time, I'm working hard to find my way in the cloud environment (AWS, GCP).
But most of all, I see a DevOps position as helping others. We help each other, we solve problems, we deliver.
Staff Sec Engineer at Empathy.co
I’m a Senior DevOps Engineer currently working as Staff Platform Engineer at Empathy.co. I mostly manage Kubernetes Clusters, CI/CD orchestration, Elasticsearch, MongoDB and try to break things on AWS, GCP and Azure. I'm a big fan of Anton Babenko and if I'm not online you can find me on Pagerduty.