Prashant D. Kadam

Certified Kubernetes Administrator (CKA) with 11+ years of experience in the TV broadcast and DevOps industry. I specialize in building scalable, resilient, and automated infrastructures, with hands-on expertise in Kubernetes deployments, Bash and Python scripting, CI/CD pipelines, ELK stack management, Grafana & Kibana dashboards, and database administration. Experienced as a Broadcast Technology Specialist and Media Infrastructure Expert, I design and manage infrastructure and streaming systems, ensuring high availability, monitoring, and real-time performance for broadcast and IT environments.

About Me

Passionate about automation, monitoring, and cloud-native architectures. I'm skilled in building high-availability systems and optimizing deployments. With a strong background in Linux administration and tools like Grafana, Kibana, and Prometheus, my focus is on reliability, scalability, and reducing downtime to enhance service delivery.

Technical Skills

Kubernetes

Docker

OpenShift

Jenkins

Git

Grafana

ELK Stack

AWS

MySQL

Postman

Work Experience

Duty Engineer

Sony Pictures Networks

Nov 2023 - Present

I specialize in leveraging DevOps practices to streamline operations and enhance system reliability.
My expertise includes managing live events (e.g., Australian Open, WWE, UFC, and Hockey), running playout systems for 50+ channels, and handling media asset management using DIVA, GBLabs, and AWS S3 Deep Glacier.
Automating repetitive tasks using BASH and Python. Delivering efficient, scalable, and resilient infrastructure solutions, I work closely with teams to drive continuous improvements across broadcast systems and operations.
Working on Synamedia compression and VGCAS system.

Deputy Manager Broadcast, CAS

Jio

Dec 2020 - Oct 2023

Manging more than 14000 service configuration for 25+ Headends.
Working on Verimatrix CAS for 3m+ customer base.
Good exposure to automation using BASH scripting.
Openshift training on DO180, DO280 and DO380 from Redhat.
Creating Grafana dashboards, Log analysis using Kibana, Prometheus query to manage data.
Managing multiple Linux servers and CAS components on them.
Planning and execution of regression and sanity testing on application.
Creating alerts for critical KPI for business review.
Managing the OpenShift cluster that with autoscaling and HA.
Taking cluster wide backups.

Senior Systems Engineer

Tata Play

Dec 2019 - Dec 2020

Installed and configured critical broadcast equipment (MUX, Modulators, Encoders, IRD).
Created Bash scripts to automate routine tasks, reducing manual effort and operational overhead.
Designed Grafana dashboards for system health and KPI monitoring.
Utilized Kibana to create monitoring dashboards for tracking critical KPIs, ensuring timely issue identification.
Led RCA (Root Cause Analysis) for errors, minimizing downtime and improving system reliability.
Facilitated deployment of new features by closely collaborating with testing teams.

Senior Broadcast Engineer

Reliance Communications / Independent TV

May 2016 - Nov 2019

Installation and configuration of station equipments like MUX, Modulator, Encoders and IRD.
Bandwidth utilization and planning for satellite Transponders for BIG TV.
Rectifying faults according to daily channel status report and root cause analysis to ensure minimization of errors.
Upgradation of new Headend equipment's.
Handling XMS and XMU for system monitoring.
Implementing proposed technical modification in DTH Headend.
Highly organized planning for smooth and timely completion of goals.
Software Release Testing & OTA testing with STB Team.

Broadcast Engineer

Prime Focus Technologies (PFT)

Nov 2014 - May 2016

Configured Appear TV Encoders, Demodulators, and managed multicast IPs for 400+ channels.
Administered SML servers for ERP data storage and installed C-band antennas for signal reception.
Performed technical fault analysis, system upgrades, and testing of new equipment.
Handled audio watermarking using WMM for secure content distribution.
Worked on BARC project.

Headend Engineer

Indusind Media and Communication Ltd

Feb 2013 - Nov 2014

Configuration of QAM Modulator, PSI-SI Server, MPEG 2, Encoders, Preventive Maintenance of equipments.
Installation of New equipments.
Addition deletion and swapping of services as per requirement.
Handling EPG programs, Fault finding in network.

Featured Projects

VigilSiddhi: Infrastructure & Monitoring Solution

🤖 Multi-Agent Monitoring: SNMP, traps, Windows/Linux, IRD, switches, iLOs, APIs.
📊 Real-Time Console: Live WebSocket updates with operator-friendly UI.
📨 Notifications: Telegram + Email + Slack + Teams alerts for critical events.
🔀 Data Pipeline: Agents → Redis Streams → Processors → Elasticsearch/MySQL → Dashboards.
💾 Storage: Elasticsearch (history/analytics), MySQL (config/metadata), Redis (event flow).
✅ Benefits: Unified monitoring, scalable, full audit history, proactive alerts.
🚀 Future Roadmap: RBAC, Docker/K8s, self-healing, PWA.

MYCAS: Conditional Access System

📐 Architecture: Modular microservices with MySQL (primary + replica), Kafka for messaging, Elasticsearch for analytics, Docker, and Kubernetes. Supports environment-specific configs, horizontal scaling, and Istio service mesh.
🔗 Interconnectivity: Services communicate via Kafka; shared MySQL backend; Elasticsearch integrated for analytics; Kubernetes manages deployment, scaling, and networking.
⚡ Advantages: High scalability & modularity, real-time streaming via Kafka, easy deployment & monitoring, robust analytics/search, enhanced reliability with DB replication.
🚀 Future Scope: Improved security with network policies & scans, advanced traffic management & observability with Istio, automated scaling via HPA, enhanced backup, monitoring, and cloud-native integrations.

VigilSiddhi Encoder: Video Encoder over UDP / SRT

⚙️ Manage video/audio streams with FFmpeg via Python Tkinter + ttkbootstrap.
🌐 Supports inputs/outputs: Files, HTTP/RTMP/RTP/UDP, SRT, YouTube, dummy data.
🔍 Built-in ffprobe for stream and codec analysis.
📑 Use YAML/JSON configs for repeatable workflows.
🟢 Real-time indicators: Green = OK, Yellow = Warning, Red = Error, Blue = Info.
🚀 Planned: GPU acceleration, PWA/web UI, stream monitoring dashboards.