Hi, I'm
Bhaskar Shukla.
I'm
I design and optimize enterprise-scale Azure monitoring and automation systems. I focus on improving reliability, observability, and cloud cost efficiency.
I'm passionate about solving complex infrastructure challenges and continuously improving system observability. Let's connect and build something impactful.
About.
I'm Bhaskar Shukla, a Computer Science graduate and currently working as a Software Engineer specializing in Azure Cloud Monitoring, ITOM, and Automation.I design and optimize monitoring architectures, implement alert-to-incident automation, and improve system observability across hybrid environments.
My expertise includes Azure Monitor, Log Analytics, Data Collection Rules (DCR), BMC Discovery pattern development, and multi-tool monitoring platforms like SolarWinds, Site24x7, and EvolveOps.ai.
Beyond monitoring, I have a strong foundation in infrastructure, DevOps tools, and cloud governance including Linux, Windows Server, Terraform, Ansible, Kubernetes, and CI/CD pipelines.
When I'm not optimizing cloud systems, I enjoy solving challenging LeetCode problems and continuously expanding my expertise in Azure and system design. I'm always open to learning, growing, and taking on impactful engineering challenges.
Use at work
Use for fun
Skills & Expertise.
Designing and optimizing Azure monitoring architectures using Azure Monitor, Log Analytics, and Data Collection Rules. Experienced in alert tuning, subscription-level alerting strategy, incident automation using Logic Apps, and log ingestion cost optimization.
BMC Discovery administration and custom pattern development, improving discovery coverage and infrastructure visibility. Experience integrating monitoring tools across hybrid environments for centralized observability.
Implementing policy-based VM onboarding at Management Group level, infrastructure automation using Terraform and Ansible, CI/CD with Jenkins, and container orchestration with Kubernetes and Docker.
Azure Monitor
Log Analytics
Azure Policy
Logic Apps
BMC Discovery
EvolveOps.ai
SolarWinds
Site24x7
Data Collection Rules (DCR)
KQL
Terraform
Ansible
Jenkins
Kubernetes
Docker
Linux
Windows Server
Azure AD (Entra ID)
RBAC
Azure Monitor
Log Analytics
Azure Policy
Logic Apps
BMC Discovery
EvolveOps.ai
SolarWinds
Site24x7
Data Collection Rules (DCR)
KQL
Terraform
Ansible
Jenkins
Kubernetes
Docker
Linux
Windows Server
Azure AD (Entra ID)
RBAC
Projects.
Developed a system using YOLO for real-time human detection and pose estimation to detect humans throwing trash in real time, enhancing the accuracy of tracking hand movements and predicting actions.
Learn more >
Experience.
• Re-architected Azure monitoring post-transition by restructuring alerts from resource-level to subscription-level and correcting lookback configurations, reducing daily alert volume from 1000+ to 300+ (70% reduction) • Optimized Log Analytics ingestion using Data Collection Rules and selective log filtering, significantly reducing workspace ingestion costs • Automated onboarding of 300+ VMs and multiple cloud resources using built-in Azure Policies at Management Group level to deploy AMA, assign UAMI, and enable VM Insights • Administered BMC Discovery and developed custom patterns including Oracle audit cleanup logic, improving discovery coverage from 50% to 90% and avoiding vendor costs of $25,000+ • Worked on EvolveOps.ai, SolarWinds, and Site24x7 for centralized monitoring, alert correlation, and health validation across hybrid environments • Contributed to development of an internal automation web portal, reducing manual operational effort by 15+ hours per week
• Developed MVP for the company which then later used by manufacturing unit of more than 5 client • Designed and Developed the mobile application, Server API and Database • Implemented TCP and UDP protocols for direct communication with the IoT device, ensuring that the result operation operates in real-time with a 100% success rate • whole project was a great success resulting in generating more than 20 lacs of revenue annually