PH Deck

Users manage cloud costs manually with consultants and spreadsheets, leading to inefficient resource allocation and high expenses on AWS/GCP.

Users struggle with the complex and time-consuming process of managing and migrating large data sets to the cloud.

The traditional approach involves manual processes and on-premise systems that are expensive, less secure, and lack scalability.

Users preparing for AWS & GCP certifications rely on scattered, unverified exam dumps and resources, leading to inefficient preparation and outdated/questionable material quality.

Developers and startups face challenges deploying their earliest versions of products due to complexities in cloud infrastructure setup, which often requires extensive technical know-how and upfront investment. The drawbacks of this old situation include the difficulty in setting up cloud infrastructure and the barrier it creates for quick deployment and iteration of MVPs.

Users struggle to effectively plan, track, and manage their finances, resulting in poor allocation of funds for needs, savings, and wants.

Users manually analyze AWS usage and costs through the AWS console or spreadsheets, leading to time-consuming analysis and missed optimization opportunities due to complex pricing models and scattered data

Users manually track time intervals to follow the 20-20-20 rule for eye care, leading to inconsistent adherence and eye strain due to forgetfulness or distractions.

Users manually create cloud architecture diagrams using generic tools, leading to time-consuming processes, inconsistent cross-platform diagrams, and lack of Terraform integration.

Users manually monitor AWS activity via logs and dashboards, which is time-consuming and lacks intuitive visualization. Manual monitoring is time-consuming and lacks intuitive visualization

Users manage multiple cloud platforms (AWS, Azure, GCP) separately through native tools, leading to time-consuming deployments, inconsistent configurations, and vendor lock-in.