CI/CD pipelines
Build and maintain automated delivery flows from Git to test, image build, release, and deployment.
GitHub ActionsJenkinsECRECS
> system.greet()
Vishwateja Gorumanthula
$ whoami --role
AWS DevOps Engineer focused on production cloud delivery, CI/CD pipelines, Terraform infrastructure automation, container operations, and practical observability.
5+Years in DevOps, NOC, and cloud operations
95%Infrastructure automation achieved with IaC
60%Deployment time reduction through reusable modules
99.999%Uptime target delivered for multi-region design
IT professional with 5+ years of experience across AWS DevOps, infrastructure support, CI/CD automation, monitoring, disaster recovery, and cloud-native operations.
VGProfile image slotAWS DevOps Engineer
AWS operating model
Currently Using Services
Skills
Core AWS DevOps skills for cloud delivery, automation, and reliability.
The first row highlights the capabilities most relevant for AWS DevOps roles. The full skill map below shows the broader tool coverage.
Cloud foundation
AWS platform
Hands-on operations across compute, storage, networking, access, and monitoring.
EC2VPCS3IAMCloudWatchECS
Release flow
CI/CD delivery
Automated build, test, image, and deploy flows for faster production delivery.
GitGitHub ActionsJenkinsECRECS
Automation
Infrastructure as Code
Repeatable provisioning and environment setup with modular IaC patterns.
TerraformCloudFormationAWS CDKAnsible
Reliability
Observability
Monitoring and alerting practices that make incidents visible and actionable.
CloudWatchDatadogBetter StackGrafana
AWS cloud
14 toolsEC2S3VPCIAMCloudWatchCloudTrailLambdaSNSSQSRoute 53Global AcceleratorCloudFormationAthenaRedshift
DevOps and IaC
11 toolsTerraformAWS CDKJenkinsGitHub ActionsAnsibleDockerKubernetesHelm ChartsGitBitbucketSVN migration
Reliability and monitoring
9 toolsPrometheusGrafanaSplunkBetter StackCloudWatch alertsBackup and recoveryDR runbooksIncident escalationPerformance tuning
Systems and scripting
10 toolsPythonBashPowerShellSQLScalaLinuxWindows ServerApache TomcatDjangoAzure
Selected work
Project stories that show reliability, speed, and practical cloud judgment.
# How May I Help You
projects.sh - 80x24aws-devops
> 01_MULTI_REGION_RELIABILITY
Multi-region self-healing AWS platform
Reduced global latency by 40% and targeted 99.999% uptime.
Architected a resilient design using AWS Global Accelerator and Route 53 for a high-availability e-commerce workload.
Global AcceleratorRoute 53CloudWatchIaC
> 02_INFRA_AUTOMATIONReusable infrastructure automation
Reached 95% infrastructure automation and cut deployment time by 60%.
Built Terraform modules and CloudFormation patterns for standardized, repeatable resource provisioning.
TerraformCloudFormationAWS CDKGit
> 03_CONTAINER_DELIVERYContainerized legacy application delivery
Reduced environment-related issues by 70% and deployment time from hours to minutes.
Created Docker build patterns and CI/CD pipelines for microservices moving through QA, UAT, and production.
DockerJenkinsGitHub ActionsKubernetes
> 04_EVENT_MESSAGINGCloud notification and queueing flow
Improved reliable event delivery for critical downstream alerts.
Implemented alert publishing and message queueing with SNS and SQS for operational workflows.
SNSSQSLambdaCloudWatch
Cloud radar
Current focus areas for staying sharp in AWS and platform engineering.
This section is built to become a living record of what Vishwateja is studying, testing, and publishing as the cloud sector keeps moving.
Disaster recovery automation for cloud and hybrid infrastructure
Terraform and AWS CDK module design for repeatable delivery
Docker and Amazon ECS container operations for production workloads
Observability patterns with CloudWatch, Datadog, Better Stack, Prometheus, and Grafana
AI-aware cloud operations and practical automation workflows
Contact
Contact for AWS DevOps roles, projects, and cloud automation.
Based in Hyderabad, Telangana, India. Available for hiring conversations, freelance cloud work, technical collaboration, and AWS DevOps project discussions.