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Shravan BotukuPlatform Engineer

Platform EngineeringCloudDevSecOps

I engineer cloud platforms built to survive production.

Cloud infrastructure, Kubernetes, automation, secure delivery and observability — designed for real-world scale and reliability.

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User
CloudFront
ALB

AWS EKS Cluster

Service A
Service B
Service C
ECR
RDS
S3

Observability & Alerting

  • Prometheus
  • Grafana
  • CloudWatch
  • Datadog
  • Live traffic flow
  • Control plane activity
Reference platform architecture. User traffic reaches CloudFront, then an application load balancer, then services running in an AWS EKS cluster. Services read and write RDS and S3, and emit telemetry to an observability and alerting layer built on Prometheus, Grafana, CloudWatch and Datadog. A separate control-plane path connects the cluster to ECR and ECR to S3.

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02 Why I Do This

Great products deserve strong foundations.

As products grow, their infrastructure needs evolve across cloud, delivery, security, reliability, observability and compliance.

01 The Scaling Challenge

Growing product teams can need this engineering depth long before it makes sense to build dedicated specialist teams around every discipline.

  • Cloud
  • Platform
  • DevOps
  • Security
  • Observability
  • Compliance

02 Where I Add Value

I work alongside product teams to build the foundational layer their next stage of growth needs.

Bringing cloud, platform, DevOps, security and observability together — without adding unnecessary complexity.

Strong foundations — Before complexity becomes expensive.

03 Industry Exposure

Different industries. Different constraints.

Engineering foundations change with the product, its users, its risk profile and the environment it operates in.

Product Environments

  • Personal Lending
  • Credit Cards
  • Mortgages
  • Secured & Unsecured Lending
  • Internal Banking Systems

Engineering Context

  • Security
  • Reliability
  • Identity & Access
  • Auditability
  • Availability
  • Operational Controls

Regulatory & Compliance Landscape

  • PCI DSS
  • SOC 2
  • ISO 27001
  • Privacy / Data Protection*

*Framework applicability varies by product, geography and data handled.

Different business goals. Different risks. Different compliance needs.

Same engineering discipline: build secure, reliable and scalable foundations.

04 Technology & Engineering Stack

Cloud to runtime. Code to production.

I design, build and operate secure, reliable and observable systems on modern cloud platforms.

  • Cloud

    Scalable Highly Available

  • Platform

    Containerized Resilient

  • IaC

    Reproducible Versioned

  • Delivery

    Automated Consistent

  • Security

    Built-in Zero Trust

  • Observability

    Measure Improve

  • Data

    Accessible Insightful

  • Systems

    Stable Optimized

Delivery Pipeline

  1. CodeGitHub / GitLab
  2. BuildCI / Test
  3. ScanSAST / DAST*
  4. RegistryECR / GHCR*
  5. DeployCD / GitOps*
  6. MonitorDeployments

Security Layer

  1. IAMAccess
  2. SecretsVault
  3. ImageScanning
  4. RuntimeSecurity
  5. ComplianceControls**

Observability Layer

  1. MetricsPrometheus
  2. LogsELK
  3. TracesDatadog
  4. DashboardsGrafana
  5. Alerts& Insights

Users

  • Web / Mobile
  • APIs / Services

Edge

  • CloudFront
  • Route 53
  • WAF

Cloud Infrastructure

aws

  • VPC
  • EC2
  • EKS
  • ECS
  • RDS
  • S3
  • Lambda
  • CloudWatch

Azure

  • VNet
  • VMs
  • AKS
  • Storage
  • Azure SQL
  • Key Vault
  • Monitor

Container Platform

Kubernetes

  • Docker
  • OpenShift
  • Rancher

Application Services

  • Microservices
  • APIs
  • Workers

Data Services

  • RDS / MySQL
  • Redshift
  • Glue
  • Athena
  • S3

Infrastructure as Code

  • CloudFormation
  • Ansible

Operating Systems & Network Foundation

  • Amazon Linux
  • Ubuntu
  • Red Hat
  • Nginx
  • Apache
  • HAProxy
  • Bash
  • Python

  • Production Ready

    Built for scale, resilience and reliability.

  • Automated & Repeatable

    Everything as code. Everything versioned.

  • Secure by Design

    Security integrated at every layer.

  • Observable by Default

    End-to-end visibility into systems.

  • Cost & Performance

    Optimized for efficiency and performance.

* Where applicable and based on project requirements ** Governance, policies, audits and compliance frameworks

Security

  • IAMAccess
  • ImageScanning
  • RuntimeSecurity
  • ComplianceControls**

  1. Code

    GitHubGitLab

    Bitbucket

  2. Build · Test · Secure

    GitLab CIJenkins

    ScanningSecurity Controls

  3. Provision (IaC)

    TerraformCloudFormation

    Ansible

  4. Cloud Foundation

    AWSAzure

    VPCEC2IAMS3RDS

    CloudWatchRoute 53ECR

  5. Platform

    KubernetesDocker

    OpenShiftRancher

  6. Data & Runtime

    RDSMySQLRedshift

    GlueAthenaS3

  7. Production

    ReliableScalableSecure

    ObservableCost Optimized

Observability

  • MetricsPrometheus
  • TracesDatadog
  • DashboardsGrafana
  • Alerts& Insights

Right tools. Right architecture. Right outcomes.

Building secure, reliable and scalable systems that drive real business value.

05 Case Studies

Problems solved. Systems improved.

Selected work across cloud infrastructure, platform engineering, security, reliability and automation.

Case study 01of 06

  • 06

    Data Platform Engineering

  • Featured Case Study

    Production Platform Modernization

    Re-architected and modernized the infrastructure stack to improve scalability, reliability and deployment speed for a growing product.

    Users

    • Web
    • Mobile
    • APIs

    Route 53

    CloudFront

    CI/CD Pipeline

    1. Code
    2. Build
    3. Test
    4. Scan
    5. Deploy

    GitLab CI/CD

    S3(Static Assets)

    WAF

    EKS Cluster

    Ingress

    Services

    Auto Scaling

    Data Layer

    RDS(MySQL)

    ElastiCache(Redis)

    S3(Backups)

    Monitoring & Observability

    • Prometheus
    • Grafana
    • Alertmanager
    • CloudWatch
    • AWS
    • Kubernetes
    • Terraform
    • GitLab CI/CD
    • Prometheus
    • Grafana
    View Case Study

  • 02

    Secure CI/CD Transformation

  • 03

    Identity & Access Modernization

  • 04

    Delivery Modernization

  • 05

    Platform Modernization

  • 06

    Data Platform Engineering

  • 01

    Production Platform Modernization

    Users

    • Web
    • Mobile
    • APIs

    Route 53

    CloudFront

    CI/CD Pipeline

    1. Code
    2. Build
    3. Test
    4. Scan
    5. Deploy

    GitLab CI/CD

    S3(Static Assets)

    WAF

    EKS Cluster

    Ingress

    Services

    Auto Scaling

    Data Layer

    RDS(MySQL)

    ElastiCache(Redis)

    S3(Backups)

    Monitoring & Observability

    • Prometheus
    • Grafana
    • Alertmanager
    • CloudWatch

06 Let's Talk

Bring me the problem.We'll figure out the path.

You don't need to have the solution figured out. Start wherever feels easiest.

How would you like to start?

You chose

Tell me the problem

Tell me what's happening.

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