Daniel Cedenilla
As a Cloud Engineer and SRE with a strong focus on Kubernetes, I am passionate about staying up-to-date with the latest technologies and finding ways to apply them in my work. My expertise lies in automation, architecture, monitoring/logging, and developing cloud solutions that are scalable, efficient, and secure. I am committed to following best practices and embracing a DevOps culture in order to continuously improve and deliver value to my clients and team. I am always eager to take on new challenges and learn more.
REVIEWS FROM CLIENTS
- Standardized, automated, and optimized monitoring, tagging, and integrations in Datadog with Terraform and Ansible for agent inst...
- Standardized, automated, and optimized monitoring, tagging, and integrations in Datadog with Terraform and Ansible for agent installation.
- Designed and implemented new alerts, metrics, and dashboards in Datadog.
- Established a log archival strategy using AWS S3 and monitored solutions within Kubernetes clusters.
- Assisted developers in integrating custom application metrics into Datadog.
- Configured a logging strategy in Datadog, entailing a comprehensive migration from AWS OpenSearch.
- Led the Systems Team, encompassing the Database and DevTools teams, making critical decisions to enhance infrastructure and team efficiency.
- Governed, reported on, resized, and decommissioned AWS resources and Datadog assets.
- Provided support to other teams in diagnosing and resolving monitoring and logging issues.
- Collaborated closely with SRE and Developers to improve processes and documentation.
- Worked with the NOC team (L1 and L2 support team) to address monitoring and logging requirements.
- Established a functional on-call rotation and escalation policies using OpsGenie and Datadog.
- Installed and configured various tools and services (e.g., Vault, Cert-Manager, Opensearch, Sentry, MinIO, Qdrant) using Helm, An...
- Installed and configured various tools and services (e.g., Vault, Cert-Manager, Opensearch, Sentry, MinIO, Qdrant) using Helm, Ansible, and ArgoCD to support data-engineering and data-science teams.
- Supported developers in creating roles and tokens in Vault for secure access to production databases.
- Implemented VictoriaMetrics Alert for critical alerts to PagerDuty and ensured its functionality.
- Established a logging strategy in the Kubernetes cluster using Opensearch for effective troubleshooting.
- Collaborated with cross-functional teams to maintain the Kubernetes cluster's smooth operation.
- Monitored and managed the Kubernetes cluster using VictoriaMetrics and Grafana, creating custom dashboards.
- Developed and maintained comprehensive documentation for the Kubernetes cluster and associated processes.
- Stayed updated with the latest technologies and continuously improved cluster infrastructure.
- Installed, configured, and maintained production Kafka clusters and Postgres databases, including monitoring and customizations for efficiency and reliability.
- Integrated various tools with Okta for SSO and OpenID.
Designed and implemented Gitlab CI pipelines for automating operational tasks.
Technical Leader of the main logging platform (FluentD, Opendistro
ElasticSearch, Kibana) in AWS – automation done using (Docker, ...
Technical Leader of the main logging platform (FluentD, Opendistro
ElasticSearch, Kibana) in AWS – automation done using (Docker, GIT,
Python, Terraform, JSON, YML, Ansible, Rundeck and Jenkins).
• On-boarding and supporting new ingestions from our internal business units.
SSO, ISM Policies, Indices, Monitoring, Aggregators, certificates, LB, DNS,
fluentD configs...
• Leading the migration from the custom ElasticSearch Cluster to AWS
ElasticSearch Service.
• Troubleshooting any issues in Production.
• On-Call 24x7.
• Monitoring in SignalFX and Datadog (Integration, configuration, management
and creation of dashboards)
• Helping other teams with any potential blockers they can have in AWS.
• Solving issues in AWS using Jira to manage the tickets. (EC2, VPC, Route53,
LB, SG, TGW, IAM, S3, Workspaces...)
• AMI management using Packer and Jenkins.
• Improving existing automation. Ansible, Jenkins, Git, Packer, EC2...
• Governance tasks.