What I Do

I work on making applications be cloud native so that they run: cheaper, reliable and performant.

• Service-Level Objectives: SLI, SLO, SLA, Error Budget, Burn Rate
• Distributed Systems: Architecture, hybrid environments, high availability
• Configuration Management: Puppet, Hiera, Terraform, Ansible
• Container Computing: Docker, Kubernetes
• Cloud Services: Azure, Alibaba Cloud, AWS, GCP, OpenStack
• Distributed Messaging: RabbitMQ, Pulsar
• Proxies & Load Balancing
• Monitoring: Prometheus, Kibana, Grafana, Elasticsearch
• Logging: Splunk, SysLog, ELK Stack, Linux Journal
• Source Control: GitHub Enterprise
• CI/CD: Jenkins, Argo, GitHub Actions, Atlantis
• Linux: Bash, debugging, performance tuning
• Networking: Troubleshooting, packet loss, routing
• Programming: Language-agnostic

Practices

• Cultivate broad and specialized expertise in relevant areas.
• Stay up-to-date with technology trends and industry standards.
• Communicate complex ideas clearly to diverse audiences.
• Build strong relationships with cross-functional teams.
• Co-own operations and reliability with partner teams.
• Deeply understand the services I support and their goals.
• Explore new technologies through demos, experiments, and labs.
• Break down complex tasks into manageable units.
• Participate in on-call rotations to resolve incidents.
• Lead blameless postmortems to improve service reliability.
• Collaborate to foster positive relationships across the company.
• Use systems knowledge to triage problems and optimize resources.
• Champion automation to reduce manual work and increase velocity.
• Demonstrate configuration management for service consistency.
• Build IaC configurations for cloud infrastructure.
• Support and improve build pipelines.
• Adopt containers and Kubernetes for new and existing services.
• Apply “everything-as-code” methodologies where applicable.
• Automate or eliminate repetitive tasks.
• Improve workflows to simplify team operations.
• Troubleshoot incidents using metrics, logs, and other data.
• Embrace older technologies for their reliability and low maintenance.
• Spread DevOps philosophies across teams.
• Collaborate with engineers across software, network, cloud, and systems.

Outlook

• Shape the future of service management using Kubernetes.
• Support global data platforms across multiple clouds.
• Improve and manage service migrations across clouds/data centers.
• Work with partner teams to influence product operations.
• Enhance monitoring and logging for better observability.
• Enable Service-Level Objectives for improved service reliability.
• Design and conduct stress tests to align scale expectations with reality.