Devops engineer
Summary
using PromQL and Prometheus.
Created 3000 centralized dashboards for monitoring system usage (CPU, Memory, Network) using
Grafana
Analyzed memory usage, storage utilization, and exports usage to create alerts for exceeding
limits.
Set up a Tracing System using Tempo in Kubernetes to monitor traces.
Experienced in Jenkins for setting up CI/CD pipelines.
Configured Kafka environments for both test and production, ensuring smooth troubleshooting and
operational efficiency.
Deployed fluent-bit client to send logs to Loki and set up ruler to create log-based alerts for
monitoring applications.
Developed Alert Manager to create a alerts and monitor in Prometheus using metrics
Created a Python script to to automate the fluent bit setup and send logs to loki without
intervention of humans
Developed a Python Script that will take care for log rotation of the zaap logs
Designed and developed a user-friendly web page using HTML, CSS, and JavaScript to
demonstrate project flow and functionality.
Experienced in various StreamSets Data Collector connectors, data transformation, and
implementing robust exception-handling techniques.
Deployed Grafana, Tempo, and Loki in Kubernetes.
Created applications in Python and Java to emit logs, traces, and metrics.
Automated Service Discovery, enabling seamless inclusion of endpoints into Prometheus based
onuser inputs.
Troubleshot issues in Prometheus, Grafana, Loki, Jaeger, New Relic, Dynatrace, and Inginix
effectively.
Leveraged Elasticsearch for log monitoring and data analysis.
Utilized Terraform for infrastructure as code (IaC) deployments and Docker for containerization of
applications.
Managed and optimized AWS and GCP services for deploying and maintaining scalable,
secure infrastructure.
Developed and maintained Ansible playbooks for configuration management and automation of
tasks across multiple servers
Expectations
Value to employees
Employment Preferences
Relocation destinations:
- Bangalore, Karnataka, India
- Hyderabad, Telangana, India
Spoken Languages
- English - Fluent
Expected Base Salary
*,*00,000 INR
Academic Degree
Security Clearance Level
Experience
Total Professional Experience
Big-Tech Companies
Enterprise Experience
Skills
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