tech stack and skills
In the following, I would like to give as comprehensive an insight as possible into my tech stack and experience. The skill matrix includes a self-assessment based on experience and know-how in the respective technology.
Legend self-assessment:
★ Theoretical knowledge
★★ First practical experiences / experiences are some time ago
★★★ Good practical experience
★★★★ Deep practical experience
Skillmatrix
| tools/technologies | self-assessment | experience in years | explanation |
|---|---|---|---|
| Docker | ★★★★ | 6 |
|
| Kubernetes | ★★★ | 4 |
Kubernetes Techstack: k3s, GKE, EKS, Helm, Terraform, Terragrunt, k9s, Cluster Autoscaler, istio, Traefik, Vault, Cert Manager, Gitlab CI/CD, Docker, Datadog, Prometheus, Grafana, MetalLB, trivy, fluentbit, AWS CloudWatch, kubectl … (Liste nicht vollständig) |
| Terraform | ★★★★ | 4 |
Terraform Techstack: Terraform, Terragrunt, Tftui, Trivy, tflint |
| Configuration Management | ★★★★ | 6 |
Techs: Saltstack, Ansible |
| AWS | ★★★★ | 4 |
Techs: EKS, VPC, VPC Endpoints, EC2, Transit Gateway, Route 53, ECS, ECR, IAM, AWS IAM Identity Center (SSO), S3, Cloud Trail, Load Balancing (ALB/NLB), CloudWatch, RDS, KMS |
| GCP (Google Cloud) | ★★★ | 4 |
Techs: GKE, VPC, Compute Engine, Cloud Monitoring, Cloud Logging, Cloud SQL, Cloud Load Balancing, Big Query, Memorystore, Cloud Storage, Looker Studio (Data Studio), App Engine |
| Azure | ★★ | 1 |
|
| Cloudflare | ★★★ | 4 |
|
| STACKIT Cloud | ★★ | 1 |
Techs: SKE, PostgreSQL, Observability, Computing, Object Storage, Networking |
| Grafana | ★★★ | 5 | |
| Prometheus | ★★★ | 5 | |
| Cloud Monitoring (GCP/Google Cloud Plattform, AWS-Cloudwatch, Datadog) | ★★★ | 5 | |
| ELK-Stack (Elasticsearch, Kibana, Logstash, Fluentbit) | ★★★ | 7 | |
| PHP | ★★★★ | 15 | |
| python | ★★★ | 9 | |
| PERL | ★★★ | 4 | |
| JavaScript | ★★★ | 10 | |
| TypeScript | ★★ | 2 | |
| Go(lang) | ★★ | 1 | |
| Gitlab CI | ★★★★ | 6 | |
| GitHub Actions | ★★★ | 2 | |
| Saltstack | ★★★ | 3 | |
| Ansible | ★★★ | 3 | Entwicklung von devalchemy Devalchemy ist ein plattformübergreifendes Toolkit zur Automatisierung von Entwicklungsumgebungen, das auf Ansible basiert. Es verwandelt sowohl neue als auch bestehende Rechner in vollständig konfigurierte Entwicklungsumgebungen – egal ob unter macOS, Linux oder Windows. Ziel ist ein schnelleres technisches Onboarding von Entwicklern durch eine konsistente, reproduzierbare Entwicklungsumgebung. Dadurch werden Setup-Probleme reduziert und die Produktivität im Team gesteigert. |
| Jira | ★★★ | 11 | |
| Confluence | ★★★ | 11 | |
| Bitbucket | ★★ | 1 | |
| Bamboo | ★★ | 1 | |
| Git | ★★★★ | 11 | |
| Scrum | ★★★★ | 11 | |
| Kanban | ★★★★ | 11 | |
| Java | ★★★ | 3 | |
| C | ★★ | 2 | |
| C++ | ★★ | 2 |