- Support different teams for microservice and tools deployment on kubernetes cluster
- Support different teams for debugging on kubernetes cluster
- Configure XLDeploy for apps deployment on kubernetes
- Develop kubernetes operator to manage network policy
- Automation of vmware management on Vsphere with jenkins , ansible and terraform
- Development of logstash input plugin to collect metrics from thousands of tomcat and weblogic servers / Create Kibana dashboard to visualize metrics
collect by the plugin
- Provisioning of data lake in AWS S3 by using apache sqoop and apache airflow and python
- Implementation of data pipeline by using apache airflow and python
- Implement data validation with AWS EMR and scala
- Implement data transformation with AWS EMR and scala
- Implementation of prometheus exporter for data pipeline monitoring in apache airflow
Aws developer and DevOps Engineer at Sonartrade
- Implement microservice with Java Lagom Framework
- Develop and maintain CI/CD pipelines for code deployment using Jenkins
- Implement dockerfile for our microservices and configure AWS ECR as private docker registry
- Build and deployed docker services
- Implement terraform scripts to create Kubernetes cluster with AWS EKS for differents environments
- Monitoring Kubernetes cluster with Prometheus, blackbox, alertmanager and Grafana
- Deploy , Manage and Monitoring Kafka cluster and Cassandra cluster in Kubernetes
- Event Streaming Apps with ksqlDB
- Installed Kafka manager for consumer lags and for monitoring Kafka Metrics also this has been used for adding topics, Partitions etc.
- Designed and implemented by configuring Topics in new Kafka cluster in all environment
- Deploy ELK Stack(Elasticsearch-Logstash-Kibana) for log ingestion
- Develop prometheus exporter with ruby and Rack to generate custom metrics from backend app
- Implement horizontally autoscaling in Kubernetes cluster when Cpu and memory usage increase
Backend developer and DevOps Engineer at Askylytics (Asklytics is a startup that
empowering the optimization of your IT infrastructure using Machine
Learning)
- Implement and designed multiples microservices with java spring boot
framework
- Develop Jenkins and Jmeter plugin with java
- Develop and maintained automated CI/CD pipelines for code deployment
using Jenkins
- Build and deployed docker services
- Implement payment api (Chargebee)
- Implement agent to collect metrics from rails application with ruby
- Implement agent to collect metrics from spring boot application with java
- Orchestrate Docker container cluster using Kubernetes/Docker swarm in aws
and digital ocean
- Monitoring Docker swarm and kubernetes cluster with Prometheus, blackbox,
alertmanager
- Deploy ELK Stack(Elasticsearch-Logstash-Kibana) for log ingestion
- Deploy , Manage and Monitoring activemq cluster
- Implement horizontally autoscaling in Kubernetes cluster when Cpu and
memory usage increase
Developer manager for design and develop Chaperone, a tool to create step by step
guides for websites or application to make them easy to use for users
- Developed Chaperone restful api
- Developed hundreds of features in an agile environment using Ruby on Rails
- Planned and carried out daily scrums, weekly estimations and retrospectives
and pair programming.
- Implement payment api (Stripe)
- Developed Chaperone’ s extension for chrome, firefox and internet explorer
with angular