Brandon Kauffman
Linux Administration
RHCSA and Linux+ certified. I have managed 300+ RHEL servers implementing Satellite, IAM, and ansiblizing deployments. I have used tools following Brendan Gregg's Systems Performance guide to increase performance. One example was increasing IO throughput by 20% by adjusting mount parameters.
Kubernetes
CKA and CCA certified. I have built out on-prem and EKS clusters with Kubernetes and Cilium. Cilium with egress gateway and BGP allowed us to apply the most secure network policies for on-prem environments. In EKS we were able to connect separated clusters. I have experience creating clusters with K3s, Terraform, and Kubespray. I have also worked with Talos for non prod environments.
I have implemented monitoring for Kubernetes clusters nearing 1000 projects. I used eBPF for network tracing, Elasticsearch for APM/Logging, and Prometheus with Grafana for metrics and visualizations. I have implemented Datadog and Vector in EKS environments. Vector was used to reduce metric and logging costs by 80%.
I have implemented monitoring for Kubernetes clusters nearing 1000 projects. I used eBPF for network tracing, Elasticsearch for APM/Logging, and Prometheus with Grafana for metrics and visualizations. I have implemented Datadog and Vector in EKS environments. Vector was used to reduce metric and logging costs by 80%.
Rust
I have built webservers, front ends, BPF programs, and other tools using Rust. It is my programming language of choice for leet code and new projects. I often use Tauri to create desktop applications that speed up my workflow. I've contributed to several open source Rust projects.
Go
I have led a team of two other developers with in creating an internal platform for alert management. Over the course of a year, the project was able to reduce MTTA by 20% and reduce MTTR by 80%. I have also used Go to create many internal Prometheus exporters. I've contributed to several open source Go projects.
Python
I have built and maintained a variety of internal python packages for a team of 12 others. I've done data analysis on Oracle and Microsoft SQL Server with python. I have contributed and built Django applications with GraphQL and REST. I've implemented OTEL to an OSS projects and modified open source libraries
Site Reliability Engineering
I have SRE experience with a variety of monitoring products. I have maintained Elasticsearch, Grafana, Prometheus, OTEL with Clickhouse, and Thanos.
I have used those products, Datadog, and Cloudwatch to implement SLOs. Using these tools to navigate deployment strategies uptime was increased from ~99.997% to ~99.99999% for crucial services.
I have worked with Projects in Golang, Python, Java, and PHP to implement RUM, APM, Profiling, and Distributed Tracing. I've assisted developers in debugging applications to reduce avg response time by ~20%.
I've used SNMP to monitor network and physical appliances that support infrastructure and created dashboards and reports to improve capacity planning.
I've used SNMP to monitor network and physical appliances that support infrastructure and created dashboards and reports to improve capacity planning.
Kafka
I maintained a production kafka cluster with over 250 topics on-prem. The largest topic ingested 100,000 events per second. After switching to Red Panda, this topic was able to maintain 10,000,000 events per second after a consumer failure had been restored.
AWS
In AWS I worked on becoming SOC 2 compliant. I used tools like Prowler to examine the environment. By switching instances to ECS and later EKS, I was able to reduce cost by 10%. I created snapshot policies to further reduce costs while ensure a stable environment.
Devops
I have manage CD pipelines with a variety of tools. These pipelines included workloads for mobile workloads, Terraform, Ansible, Flux, and more.
I was able to reduce CI/CD runtime by 60% by using best practices. I also automated alert resolutions using Ansible. I created a variety of terraform modules to deploy our services with IaC.
I managed a variety of databases such as Postgres, MongoDB, and Surrealdb. I staged regular backup, replication, and managed several major version upgrades. In postgres I was able to tune parameters that optimized the data for dev, staging, and prod workloads.
I managed a variety of databases such as Postgres, MongoDB, and Surrealdb. I staged regular backup, replication, and managed several major version upgrades. In postgres I was able to tune parameters that optimized the data for dev, staging, and prod workloads.