Webstep – DevOps End-to-End

Webstep delivers end-to-end AWS DevOps services covering every dimension of enterprise cloud delivery — from migrating workloads and creating cloud infrastructure to building automated pipelines, managing ongoing operations, and securing AWS environments.

Unlike narrow DevOps providers focused on a single capability, Webstep brings full-spectrum DevOps expertise that eliminates the need for multiple vendors across infrastructure, automation, security, and operations. With deep delivery experience across EC2, EKS, ECS, RDS, CodePipeline, Terraform, CloudWatch, WAF, GuardDuty, IAM, and S3, Webstep gives data engineering and CDO teams a single accountable DevOps partner that builds the infrastructure, automates the pipelines, migrates the workloads, secures the environment, and manages it all post-delivery at enterprise scale.

• Infrastructure created manually across EC2, EKS, and ECS with no Terraform automation standards causing configuration drift, environment inconsistency, and slow delivery cycles for data engineering teams
• No unified CI/CD pipeline strategy across AWS CodePipeline and other tooling causing unpredictable releases, failed deployments, and extended recovery times for enterprise engineering teams
• On-premises workloads with no structured migration path to AWS — blocking cloud adoption, increasing infrastructure costs, and delaying the data engineering modernization roadmap
• AWS environments operating without security controls across WAF, GuardDuty, and IAM leaving enterprise workloads, RDS databases, and S3 data assets exposed to threats and compliance gaps
• No managed operations capability post-deployment — CloudWatch monitoring absent, infrastructure unmanaged, pipelines unmaintained, and security posture unchecked after go-live

We design and create enterprise AWS infrastructure using Terraform infrastructure-as-code — provisioning EC2, EKS, ECS, RDS, VPC, and S3 environments with repeatable, version-controlled, and drift-free configurations across dev, staging, and production that eliminate manual infrastructure creation and standardize cloud delivery for data engineering teams.

We plan and execute structured wave-based migrations from on-premises or legacy environments to AWS EC2, RDS, EKS, and ECS — covering dependency mapping, risk-ranked wave sequencing, database migration, validated cutovers, and zero-disruption go-live planning for enterprise data workloads and CDO-managed systems.

We design and deploy automated CI/CD delivery pipelines using AWS CodePipeline and supporting tooling — integrating source control, automated build, security scanning, testing automation, and deployment stages for consistent, traceable, and reliable enterprise releases across all AWS environments.

We architect, deploy, and manage production-grade containerized workloads on Amazon EKS and ECS — implementing Kubernetes cluster management, Terraform-driven provisioning, service auto-scaling, IAM role assignments, and deployment strategies aligned to enterprise data workload and CDO team requirements.

We manage enterprise AWS infrastructure post-deployment — covering EC2 and RDS operational management, EKS and ECS cluster maintenance, auto-scaling governance, patch management, cost optimization, rightsizing reviews, and proactive infrastructure health management ensuring your AWS environment remains stable and cost-efficient.

We implement enterprise AWS security controls across the full infrastructure stack — covering AWS WAF rule sets, GuardDuty threat detection, IAM least-privilege governance, VPC network controls, S3 bucket policy hardening, RDS encryption, and continuous security monitoring ensuring your AWS DevOps environment meets enterprise security and compliance requirements.

We implement full-stack AWS observability using Amazon CloudWatch — configuring dashboards, metric alarms, log aggregation, cost alerts, and automated notifications across EC2, EKS, ECS, RDS, and pipeline delivery to give data engineering and CDO teams the proactive visibility required for enterprise-grade AWS operational health.