IOT Architect

Assessment of AWS platform running IOT based payloads that is supporting 3.3 million users and identify technical debt in the current state

Understanding the current state of the Platform and current Automation

Understand and document application architecture, technology landscape, current deployment cycle and activities performed

Understand and document the current tooling set up and integration of various pipeline for in-scope application and publish a report on the same

Review the code for quality, security, scale and stability for the in scope applications

Evaluate continuous delivery, monitoring, configuration management, security within DevOps pipelines and create a back log to implement continues delivery pipes using DevOps principles

Review existing build and release process and also understand the continuous testing set-up for both functional and non-functional testing

Review test data and environment set-up process

Review current tools and infrastructure set-up for DevOps and recommend improvements

Identify current Service Level Indicator (SLI) / Service Level Objectives (SLO) and measure the current availability and reliability

Identify the metric to monitor to ensure appropriate reliability

Define how to calculate the SLI for the metrices

Set a target as the SLO to compare against during use

Define steady state as a measurable output for normal behavior of the platform

Build a hypothesis around steady state behavior to scale for supporting 2x growth to around 7.5 million user base in next 2 years

Need to identify availability 9s for the platform and draw a road map to achieve Shark Ninja target (99.99%)

Risk Analysis of the current platform to understand the break point

Introduce variables that reflect real world events for identification of risk points, breaking points due to increase load and define the point of failure

Build resilience to scale