Success Stories: Indian and Bangladeshi Bettors on Melbet

Several renowned sports bettors and analysts in South Asia attribute their success to leveraging mobile platforms such as Melbet. Take the example of the Indian cricket enthusiast and blogger Rohit Sharma (not the cricketer), who shares live betting tips and has credited the Melbet app’s real-time odds and cash-out features for his consistently profitable wagers on IPL matches.

Similarly, in Bangladesh, football aficionados closely follow local leagues and international tournaments, utilizing the Melbet app’s extensive coverage and user-friendly interface. Esteemed sports commentator Arif Hossain has highlighted Melbet’s seamless in-app experience that allows bettors to place quick, informed bets amidst the fast pace of live sports action.

Convenience and Ease of Use: Betting Anytime, Anywhere

The Melbet app brings unparalleled convenience to the fingertips of its users. Equipped with an intuitive UI and fast loading speeds, it ensures that bettors from India and Bangladesh can place bets from virtually any location—be it during a cricket match at the stadium or while commuting.

Key features include:

• Quick registration and seamless deposit options including local payment gateways
• Comprehensive markets covering cricket, football, kabaddi, and eSports
• Live streaming and in-play betting capabilities enhancing real-time decision making
• Secure and fast withdrawals supporting popular regional banking methods

These elements combine to create a frictionless betting environment that caters perfectly to mobile users’ fast-paced lifestyles.

Forecasting Mobile Usage Growth in Sports Betting

Sports analysts forecast that by 2026, mobile devices will account for nearly 80% of all sports betting activity in South Asia. This upward trend is fueled by greater smartphone penetration, improved internet connectivity, and growing trust in mobile betting apps such as Melbet.

According to Statista’s reports on sports betting trends, the shift toward mobile is universal but particularly pronounced in emerging markets. Indians and Bangladeshis are embracing on-the-go betting, driven by live sports enthusiasm and the unpredictability of modern sports like T20 cricket and football leagues.

Industry experts predict that athletes and influencers, including notable personalities like Indian sports analyst Harsha Bhogle and Bangladeshi cricket legend Shakib Al Hasan, will increasingly partner with mobile platforms like Melbet to drive engagement, educating bettors on strategic wagering through social media and digital content.

Why Melbet App is a Gamechanger for Indian and Bangladeshi Bettors

In a competitive marketplace, Melbet stands out by offering not just a sportsbook but a comprehensive betting ecosystem tailored to regional interests. This includes:

1. Localized language support and customer service
2. Exclusive bonuses for cricket and football events popular in South Asia
3. Integration of secure payment methods preferred by Indian and Bangladeshi bettors
4. User-centric features like personalized betting slips and bet tracking

With these advantages, Melbet is shaping itself as the go-to app for sports wagering among India and Bangladesh’s passionate fan bases.

For those interested in deeper insights into Melbet’s offerings, check reputable reviews such as on CasinoGuru, and stay updated on official sponsorship developments with teams like the Saint Lucia Kings through trusted news sources.

A global media and entertainment company needed to scale and streamline its internal content support operations. As teams across regions generated an increasing volume of media and support requests, manual ticketing and content search processes became major bottlenecks. These inefficiencies slowed response times, reduced productivity, and limited employees’ ability to interact efficiently with internal systems such as ticketing and media asset management platforms.

Solution

TrackIt implemented a fully serverless, GenAI-powered ticketing and media search assistant integrated with Slack. The assistant allowed employees to create tickets and search media assets using natural language, significantly reducing repetitive manual workflows.

Technical Overview

• Slack + AWS Lambda + Amazon SQS: Slack acted as the user interface, Lambda captured and processed messages, and SQS provided scalable queuing.
• Amazon Bedrock (Claude 3.5 Sonnet v2): Functioned as a Supervisor Agent orchestrating multi-agent workflows, routing tasks to specialized sub-agents for ticketing or media search.
• AWS Lambda (Processor & Integrations): Managed message handling and API integrations with ticketing and media systems.
• AWS Secrets Manager: Secured management of API credentials.
• Ticketing & Media Platforms: Served as the internal systems queried by Bedrock Agents using OpenAPI schemas.

Results – AI Ticketing System

The solution automated a substantial portion of internal content support workflows, enabling teams to focus on higher-value activities:

• 40% of content-related tickets handled autonomously.
• 60%+ reduction in manual intervention through AI-managed ticket flows.
• Faster response times and higher employee productivity.
• Improved user experience through seamless Slack-native interactions.

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

Content delivery networks power modern digital experiences, yet each platform takes a different approach to configuration and edge logic. Fastly relies on Varnish Configuration Language (VCL) files to define edge logic, caching rules, and request handling. Amazon CloudFront, by contrast, uses a combination of cache behaviors, origin configurations, and AWS-native services such as CloudFront Functions and Lambda@Edge to achieve similar results. CloudFront configurations can also be managed declaratively through Infrastructure-as-Code (IaC) frameworks such as AWS CloudFormation or Terraform, giving teams flexibility in how they define and maintain delivery infrastructure.

Fastly is also more flexible at the edge, with extensive conditional logic capabilities that must be accounted for during migration. At the same time, VCL can be less intuitive to read and interpret compared to declarative IaC approaches such as Terraform, adding another layer of complexity.

Reducing Risk in CDN Migrations: Fastly VCL to CloudFront

The sections below highlight the key points and challenges of migrating from Fastly to CloudFront. They explain how VCL-based rules can be translated into CloudFront behaviors, how AWS services such as CloudFront Functions and Lambda@Edge can be leveraged, and how to ensure a smooth cutover with minimal impact on performance or availability. 

Understanding the Challenges of CDN Migration

Migrating from Fastly VCL to Amazon CloudFront involves translating Fastly’s flexible edge logic and caching rules into CloudFront’s configuration model. This is challenging due to architectural and capability differences. Fastly allows granular control over request handling, header manipulation, and caching behaviors directly at the edge using VCL. CloudFront, on the other hand, relies on cache behaviors, origin configurations, and Lambda@Edge functions to achieve similar outcomes.

To ensure a successful migration, the first step is to gain a clear understanding of the current environment. This involves taking stock of caching rules, endpoints, SSL certificates, custom headers, DNS records, origin configurations, and delivery requirements. Once the baseline is established, the features and limitations of the target CDN should be reviewed to determine how existing rules and behaviors can be mapped. This process helps identify potential gaps and adjustments early.

Why Planning Matters

A CDN migration demands careful, detailed planning. Even small oversights can result in broken links, degraded performance, or unexpected downtime once live traffic is introduced. The effort often spans multiple environments, requires coordination across teams, and demands a clear understanding of how traffic will behave during and after the switch.

Translating VCL Logic Manually 

Manual migration from Fastly to Amazon CloudFront begins with a detailed audit of existing VCL files. The objective is to document every functional component—caching rules, conditional logic, header rewrites, redirects, and routing flows—before making any changes.

Once the baseline is established, each rule can be mapped to CloudFront’s configuration model. Cache Behaviors handle path- and header-based conditions, while CloudFront Functions and Lambda@Edge enable advanced logic and header manipulation directly at the edge. Origin settings and associated policies allow fine-tuning of caching, TTLs, compression, and redirect handling.

Not every VCL feature has a direct equivalent in CloudFront. In such cases, additional AWS services such as API Gateway or AWS WAF can be integrated to replicate the desired behavior.

The following examples illustrate some of the most common Fastly rules and how they can be translated for CloudFront. These examples provide a practical reference for teams performing manual migrations or seeking a deeper understanding of the mapping process.

The most common rule categories include:

• Cache Control: Defines what content is cached, for how long, and under which conditions.
  
• Header Manipulation: Adds, modifies, or removes HTTP headers in requests and responses.
  
• Redirect Rules: Direct users to alternative URLs or domains based on specific conditions.
  
• Access Control: Restricts or permits access to certain content according to criteria such as IP address, geographic location, or authentication status.

Cache Control Rule

In the example provided above, the VCL configuration defines a simple caching rule. All requests for files ending with “.html” are cached for ten minutes, while any requests beginning with “/api/” are never cached.

To replicate this behavior in Amazon CloudFront, an ordered cache behavior must be created for the /api/ path to ensure those requests bypass caching. The following snippet illustrates how both rules can be implemented in CloudFront using Terraform.

Both rules are nearly identical; the main difference lies in the cache_policy_id and TTL settings. For the /api/ path, caching is disabled, while the .html files are configured to be cached.

For those unfamiliar with Terraform, the same configuration can be achieved directly through the AWS Management Console. Within the Behaviors section of a CloudFront distribution, a rule can be created for the pattern /api/ with the cache policy set to CachingDisabled. The remaining configuration primarily involves defining the Origin and Origin Groups, which in most cases will point to an Amazon S3 bucket.

Geographic Rule

CloudFront cannot natively replicate every rule supported in Fastly. In certain cases, additional AWS services are required to achieve equivalent functionality. One common example involves geographic rules, where content availability must vary by region. In some parts of the world, it may be necessary to restrict or modify specific content based on local regulations. In such scenarios, the AWS Web Application Firewall (WAF) can be used to manage geographic restrictions.

For instance, if a website contains information that cannot be displayed in countries such as Russia or China, WAF can be configured to block access from those regions. Below is an example of the corresponding VCL file.

If a client request originates from Russia or China, it will be blocked. To identify the client’s location, the configuration relies on ISO country codes.

When working with AWS WAF, several key parameters must be defined. In this example, the rule is named BlockSpecificCountries. The rule name serves primarily for identification and documentation purposes—it does not affect the configuration’s functionality.

There are three main components in a WAF rule:

• Priority: Defines the order in which rules are evaluated. Rules are processed from the lowest priority number to the highest.
  
• Statement: Specifies the condition or logic that determines when the rule applies.
  
• Action: Defines what WAF should do when a request matches the rule condition.
  

In this simple WAF configuration, the priority is set to 1. The statement uses a GeoMatchStatement, which matches requests originating from Russia or China using their ISO country codes. Finally, the action section instructs WAF to Block the request and return a 403 response with custom HTML content.

Compared to VCL, implementing this type of rule in CloudFront requires additional services, which can make the setup slightly more time-consuming. While maintaining separate services may seem complex, it actually simplifies debugging and troubleshooting in large infrastructures. By isolating logic across dedicated components, issues become easier to identify and resolve without sifting through excessive configuration details.

Header Manipulation Rule

This next example focuses on header manipulation rules, which involve removing or modifying headers to enhance security and protect sensitive information.

The goal is to minimize the exposure of implementation details. Headers that reveal server technology or version—such as Server—can allow attackers to target known vulnerabilities (CVEs). The same applies to X-Powered-By, which may disclose the framework or platform used to build the site. Similarly, the Via header can expose proxy or caching layers, potentially helping attackers infer request flows and attempt evasion.

On CloudFront, header removal is commonly implemented with a lightweight edge function. Lambda@Edge or CloudFront Functions can strip or rewrite response headers before they reach the client, thereby reducing the attack surface without modifying backend logic.

It is important to consider that introducing additional services can affect overall infrastructure costs. Although Lambda functions are not among the most expensive AWS services, their usage still contributes to the total operational spend. Each added component—whether for logic, monitoring, or automation—should be evaluated as part of the broader cost analysis before initiating the migration.

Conclusion

Migrating from Fastly VCL to Amazon CloudFront requires translating custom edge logic into CloudFront’s configuration model. While VCL scripts provide direct control over caching, routing, and headers, CloudFront achieves similar functionality through cache behaviors, origin settings, and edge compute options such as CloudFront Functions and Lambda@Edge.

Successful migration depends on accurately mapping each VCL rule to its CloudFront equivalent and bridging any gaps with supporting AWS services like AWS WAF for security and API Gateway for routing. Managing the deployment through Terraform or AWS CloudFormation ensures automation, consistency, and version control across environments.

Ultimately, the objective is to preserve Fastly’s flexibility while leveraging CloudFront’s scalability, reliability, and deep integration within the AWS ecosystem.

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

A leading sports media organization sought to modernize its highlight production process by automating the extraction of key moments from long-form video content.  Manual editing was proving inefficient and expensive, particularly given the large volume of sports footage being processed. The goal was to implement a scalable solution that could accelerate content turnaround and reduce operational costs without affecting quality.

Solution

TrackIt implemented a solution that integrated TwelveLabs (a video understanding AI platform) with Iconik (a media asset management system) to automate video analysis and highlight generation.

Powered by AWS, the integration enabled intuitive search through a conversational interface, allowing editors and producers to query libraries, extract highlights in minutes, and manage assets seamlessly within Iconik.

Key AWS services included:

• Amazon API Gateway for managing API interactions
  
• AWS Lambda for serverless compute and event-driven processing
  
• Amazon Bedrock (Agent and ActionGroup) for orchestrating AI-powered video understanding
  
• Amazon S3 for secure and scalable video storage

Results – Highlight Generation Solution

The customer realized substantial efficiency gains and cost benefits:

• 60% reduction in time spent on highlight creation compared to manual editing
  
• 40% reduction in video operations costs
  
• Enhanced video searchability and accessibility through conversational AI
  
• Faster delivery of sports highlights and media content to audiences

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

Customer expectations are evolving rapidly, with seamless, personalized experiences across multiple channels becoming the standard. Traditional contact centers often struggle with fragmented systems, lengthy onboarding, and high operational costs, making it challenging to deliver consistent service. Cloud-native solutions address these challenges by providing flexibility, scalability, and faster access to new features.

For organizations seeking a modern contact center solution, Amazon Connect offers an omnichannel, cloud-native platform built on AWS. It enables rapid deployment of voice, chat, and task routing while providing the flexibility to integrate analytics and AI capabilities. Its pay-as-you-go pricing, browser-based agent workspace, and continuously evolving feature set support reduced handle times, improved customer satisfaction, and lower operational overhead.

What is Amazon Connect?

Amazon Connect is a fully managed contact center service. It allows configuration of flows, such as IVRs and chatbots, routing contacts to the appropriate agents across channels, and managing operations entirely through a web console, eliminating the need for on-prem PBXs or manual patching. Native integration with AWS services like Lambda, S3, and Kinesis makes extending logic or analytics seamless. As a Contact Center as a Service (CCaaS), it allows enterprises to scale up or down in minutes rather than months.

Key Benefits

• Faster time-to-value: launch pilots from the browser and iterate quickly.
• Omnichannel by design: unify voice, chat, and tasks in a single workspace with a consistent workflow model.
• Lower TCO: no long-term commitments or seat licenses—costs are strictly usage-based.
• Built-in analytics & QA: Connect Contact Lens provides transcription, sentiment analysis, search, and evaluation tools.

Step-by-Step Guides: “In-Desktop” Playbooks for Agents

Step-by-Step Guides are interactive workflows built directly into the Amazon Connect Agent Workspace. They allow agents to follow guided procedures for common tasks—such as reservations, returns, identity verification, or payments—without needing to memorize steps or switch between systems. Each guide enforces the correct order of actions and surfaces the relevant data at the right time, making it easier to standardize processes and reduce training requirements.

These guides function like dynamic checklists, with forms, prompts, and customer context embedded within the workspace, helping agents complete tasks efficiently while minimizing errors. The example below illustrates how a Step-by-Step Guide can streamline appointment cancellations. 

When a customer starts a chat, the Agent Workspace automatically opens a guide in Cards view. The form is pre-populated with information from Amazon Connect Customer Profiles. The agent confirms the customer’s intent, and a single action triggers AWS Lambda to send both an SMS via Amazon SNS (Simple Notification Service) and an email via Amazon SES (Simple Email Service). The cancellation is completed, confirmations are sent, and the agent remains fully within Connect, without manual copy-pasting or typing boilerplate responses.

Generative AI in Connect: Meet Amazon Q in Connect

Amazon Q in Connect represents the latest advancement in agent assist and customer self-service. It analyzes live conversations (voice or chat), identifies the customer’s issue, searches knowledge bases and web content, and and suggests responses or actions. This allows agents to resolve interactions more quickly and confidently, while also enabling self-service that can both answer questions and complete tasks, such as checking orders or processing returns.

• Real-time agent assist: provides recommended answers, step guidance, and links based on enterprise knowledge sources.
• Personalized help: suggestions incorporate customer info and business rules to ensure relevance.
• Secure by design: content imported from sources such as S3, SharePoint, Salesforce, ServiceNow, or Zendesk can be encrypted with AWS KMS (Key Management Service) keys, and search indices remain encrypted at rest by AWS.

Contact Lens + AI: Supervisor superpowers

Contact Lens for Amazon Connect transforms every interaction (voice and chat) into structured, searchable insights. It provides automatic transcription, sentiment and theme detection, sensitive-data redaction, and robust search capabilities, both in real time and after the interaction. Supervisors can define rules and alerts to act immediately on important signals, improving oversight and responsiveness.

• Real-time & historical analytics: transcripts, sentiment, issue detection, categorization, and rule-based alerts to support agent training or escalation.
  
• QA at scale with GenAI: automated agent evaluations and AI-generated post-contact summaries enable more interactions to be assessed while reducing after-call workload.
  
• Built-in data & pricing model: dashboards and an analytics data lake are included, with optional services such as conversational analytics, performance evaluations, and screen recording billed based on usage.

Why Choose Amazon Connect in 2025?

With its mature capabilities and strong AWS integrations, Amazon Connect is recognized by industry analysts as a leading Contact Center as a Service (CCaaS), maintaining momentum through 2024–2025. That validation mirrors what many teams experience post-migration: lower costs, faster agent onboarding, and better customer outcomes. 

How TrackIt Can Help

TrackIt is an AWS Advanced Consulting Partner and software integrator focused on building scalable, production-ready cloud architectures for ISVs and enterprises. We help customers design, pilot, and scale Amazon Connect deployments, providing end-to-end support across all stages.

Our offerings for contact center clients include:

• Discovery & ROI modeling: total cost of ownership analysis and migration roadmap planning
  
• Pilot builds: flows, routing, Agent Workspace setup, and Step-by-Step Guides
  
• Knowledge strategy and Amazon Q configuration: integration of sources, prompt creation, guardrails, and KMS setup
  
• QA & analytics with Contact Lens: dashboards, alerts, post-contact summaries, and automated evaluations
  
• Data pipelines and AWS integrations: Lambda, Bedrock, Kinesis, S3, Redshift, QuickSight, and other related services
  
• SecOps and compliance alignment: adherence to AWS best practices
  
• Change management, training, and playbooks: workflow documentation and agent training support

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

Los Angeles, CA – September 29, 2025 – TrackIt, an AWS Advanced Tier Services Partner, today announced it has achieved the Amazon Web Services (AWS) Generative AI Competency. This recognition affirms TrackIt’s expertise in designing and deploying generative AI solutions on AWS that address real-world challenges for Media, Entertainment, Gaming, and Sports (MEGS) organizations.

Generative AI has become a central driver of innovation across industries, enabling new methods of content creation, audience engagement, and operational efficiency. The AWS Generative AI Competency highlights TrackIt’s ability to move beyond experimentation, delivering secure, scalable, and production-ready applications that create measurable value for customers.

“Generative AI is reshaping the technological landscape across our core industries,” said Brad Winett, President of TrackIt. “Achieving this competency reflects our team’s ability to apply advanced AI models and services in ways that strengthen workflows and open new opportunities for MEGS organizations.”

With this designation, TrackIt extends its proven record of AWS expertise into artificial intelligence, reinforcing its role as a strategic partner for companies seeking to responsibly adopt and operationalize AI at scale.

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

Contact Information

Brad Winett, President 

brad@trackit.io 

Media organizations today face the challenge of handling vast amounts of video, image, and audio content efficiently. From ingesting raw assets to enriching them with metadata and distributing them to global audiences, the workflows involved are complex and resource-intensive. To address these challenges, AWS provides Media2Cloud, a reference solution designed to automate and streamline media workflows at scale.

Media2Cloud ingests content, applies AI/ML services for analysis and enrichment, and prepares assets for efficient distribution. It is a turnkey solution that reduces the time needed to build a robust media supply chain, while offering flexibility to integrate with existing pipelines. Traditionally, AWS distributes Media2Cloud as a ready-to-use CloudFormation template, which sets up the required components in a single deployment.

While CloudFormation is powerful and fully supported by AWS, many organizations either already rely on Terraform for infrastructure as code (IaC) and want to keep their environments uniform, or choose Terraform because of its broad provider ecosystem, multi-cloud capabilities, and seamless integration with CI/CD workflows.

Instead of rewriting the entire Media2Cloud architecture natively in Terraform, a more pragmatic approach is to wrap the CloudFormation template in Terraform. This is possible using the aws_cloudformation_stack resource, which allows Terraform to manage the lifecycle of a CloudFormation stack as part of a broader Terraform-managed environment. This ensures consistency, visibility, and control, without waiting for a native Terraform module for Media2Cloud.

Two Ways to Customize Media2Cloud with Terraform

When it comes to integrating Media2Cloud into a Terraform-based environment, there are two possible approaches, each with distinct trade-offs:

1. Full Terraform Translation

This approach involves rewriting the entire Media2Cloud CloudFormation template in pure Terraform code, utilizing native Terraform resources.

Below is an example of the deployment folder structure:

2. Terraform Wrapper (Recommended Approach)

This approach uses the aws_cloudformation_stack resource to deploy the official Media2Cloud CloudFormation template from within Terraform.

Which Approach Should You Choose?

For most organizations, the Terraform wrapper approach is the pragmatic choice. It provides rapid deployment, maintains alignment with AWS’s official solution, and integrates seamlessly into Terraform workflows. This is the approach demonstrated in this guide.

The full Terraform translation approach should only be pursued in specific scenarios, such as when:

• Specific compliance requirements that mandate pure Terraform infrastructure
• Extensive customization needs that go beyond parameter configuration
• Dedicated engineering resources are available to maintain the translated implementation over time.

For detailed guidance on implementing Media2Cloud with native Terraform resources, refer to our comprehensive guide: AWS CloudFormation to Terraform Translation.

Solution Overview

Prerequisites

• An AWS account with the necessary privileges to create IAM roles and policies, access S3, and deploy resources via CloudFormation.
• AWS CLI installed and authenticated with sufficient permissions.
• Anthropic Claude 3 Haiku or Sonnet enabled via the Amazon Bedrock console under Manage model access.
• Terraform, jq, Docker and Nodejs 20.x installed and properly configured on the local environment.
• Docker daemon running locally to allow containerized operations.

Deployment Steps

Step 1: Building the Media2Cloud V4 Deployment Package

Media2Cloud requires building Lambda function packages and other artifacts before deployment. This step prepares all necessary files and uploads them to an S3 bucket.

Follow the steps from the AWS Solutions Library Samples repository:

1.1 Create an S3 Bucket for Artifacts

First, create an S3 bucket to store the Media2Cloud deployment artifacts. Skip this step if the plan is to reuse an existing bucket.

Note: If deploying to a region other than us-east-1, the –create-bucket-configuration LocationConstraint=your-region parameter must be added.

1.2 Clone and Build Media2Cloud

Clone the official AWS Solutions Library repository and build the deployment package:

What this does:

• Installs Node.js dependencies
• Packages Lambda functions
• Prepares CloudFormation templates
• Creates deployment artifacts

Parameters explained:

• –bucket: S3 bucket name (without s3:/ prefix)
• –version: Version tag for this deployment (use a meaningful version like v4.0.0)
• –single-region: Optimizes for deployment in a single AWS region

1.3 Upload Artifacts to S3

Once the build completes successfully, upload all artifacts to the S3 bucket:

This uploads:

• CloudFormation templates
• Lambda function ZIP files
• Web application assets
• Configuration files

1.4 Locate the CloudFormation Template URL

Once uploaded, the template will be available at:

https://yourname-artefact-bucket.s3.amazonaws.com/media2cloud/v4.0.0/media2cloud.template

Save this URL – it will be required for the Terraform configuration outlined in Step 2.

Troubleshooting

Build fails with Node.js errors:

• Ensure Node.js 20.x is installed: node –version
• Install nvm if needed: curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
• Switch to Node 20: nvm install 20 && nvm use 20

Permission errors during S3 upload:

• Verify AWS credentials: aws sts get-caller-identity
• Ensure IAM user/role has S3 write permissions

Build takes too long:

• The first build can take 15-20 minutes due to npm package downloads
• Subsequent builds are faster due to caching

Step 2: Configure Parameters

In a separate directory, create a main.tf file to define the CloudFormation stack resource with the appropriate parameters:

Understanding the Configuration Parameters

2.1. The Media2Cloud CloudFormation template accepts several parameters that control the behavior and features of the deployment. Below is a detailed explanation of each parameter:

Mandatory Parameters

Core Configuration Parameters

Ingestion & Storage Parameters

Advanced AI/ML Parameters

Optional Advanced Features

Configuration Tips

• For development/testing: Use the default values shown above with a single OpenSearch instance
• For production:
  • Upgrade to a Multi-AZ OpenSearch configuration
  • Consider enabling Knowledge Graph if relationship visualization is required
  • Set StartOnObjectCreation to YES for automated workflows
  • Choose an appropriate CloudFront price class based on audience location
• Cost optimization: Start with Claude 3 Haiku and upgrade to Sonnet only if needed
• Email validation: Ensure the email address is valid and accessible, as it’s required for portal access

Important Notes

Template URL: Replace “https://yourname-artefact-bucket.s3.amazonaws.com/media2cloud/vexemple/media2cloud.template” with the actual S3 URL from Step 1

Bedrock Model Access: Before deployment, verify that the chosen Bedrock model (Claude 3 Haiku or Sonnet) is enabled in the Amazon Bedrock console under “Manage model access”

IAM Capabilities: The CAPABILITY_IAM capability is required because Media2Cloud creates IAM roles and policies

2.2. In the same folder, create a provider.tf file.

Step 3: Deploy with Terraform

Run the following commands in the project directory containing main.tf:

Terraform provisions the CloudFormation stack, which in turn deploys all Media2Cloud resources. From the Terraform perspective, this deployment becomes part of the managed infrastructure state.

Expected outcome: Media2Cloud is deployed and operational, with Terraform maintaining the lifecycle of the CloudFormation stack.

Conclusion

Deploying Media2Cloud with Terraform is a practical way to bring AWS’s official solution into a broader Terraform workflow. It reuses the CloudFormation template while ensuring consistency, automation, and visibility in infrastructure management. This method bridges the gap until a native Terraform module becomes available, which would provide even greater control and integration.

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

Klejnoty od wieków fascynowały ludzi swoim niepowtarzalnym blaskiem i symbolicznym znaczeniem. W kulturze polskiej, tak jak w wielu innych tradycjach, są one nie tylko ozdobą, ale także nośnikami emocji i wspomnień, które nadają im głębszy wymiar. W tym artykule zgłębimy, jak nasze uczucia i przeżycia mogą wpływać na percepcję i wartość tych cennych kamieni, a także czy ich blask może w rzeczywistości rozświetlać się mocniej w chwilach wielkiego znaczenia.

1. Wpływ emocji na postrzeganie i interpretację klejnotów

a. Jak emocje zmieniają nasze spojrzenie na wartość i piękno kamieni szlachetnych

Emocje odgrywają kluczową rolę w postrzeganiu piękna i wartości klejnotów. Dla wielu osób, szczególnie w polskiej tradycji, kamienie szlachetne nie są tylko ozdobą, lecz symbolem wielkich chwil — zaręczyn, ślubów, rocznic czy rodzinnych pamiątek. Na przykład, emocje związane z otrzymaniem pierścionka zaręczynowego mogą sprawić, że nawet mniej kosztowny kamień wydaje się bardziej olśniewający. Nervi, radość czy wzruszenie potrafią „przeniknąć” przez fizyczny blask kamienia, zmieniając jego odbiór i wywołując uczucie, że kamień lśni mocniej.

b. Rola emocji w przypisywaniu symbolicznego znaczenia klejnotom w różnych kulturach

W kulturze polskiej i innych tradycjach europejskich klejnoty często mają przypisane głębokie symboliczne znaczenia. Na przykład, diamenty symbolizują trwałość i wieczną miłość, a szafiry lojalność i duchową harmonię. Te znaczenia są zwykle wzmacniane przez emocje, które towarzyszą ich wręczaniu i noszeniu. Wierzenia ezoteryczne sugerują, że silne emocje mogą „aktywizować” właściwości kamieni, potęgując ich pozytywną energię czy ochronne moce. W ten sposób emocje nie tylko wpływają na percepcję estetyczną, lecz także na symboliczną wartość klejnotów.

c. Czy emocje mogą przyczyniać się do „rozświetlenia” klejnotów w percepcji właściciela

W psychologii istnieje zjawisko, które można określić jako efekt psychologicznego „rozświetlenia”. Gdy ktoś przeżywa silne emocje, jego percepcja otaczających przedmiotów, w tym klejnotów, może ulec zmianie. Właściciel, odczuwając radość, miłość lub dumę, może wyraźniej dostrzegać ich blask, nawet jeśli obiektywnie nie uległy zmianie. To zjawisko jest często wykorzystywane w sztuce i kulturze, aby podkreślić, że emocje mogą „oświetlać” nie tylko nasze serca, lecz także fizyczny wygląd i postrzeganie piękna.

2. Wspomnienia a osobista wartość klejnotów

a. Jak przeżycia i ważne wydarzenia wpływają na postrzeganie klejnotów z czasem

Ważne życiowe chwile, takie jak ślub, narodziny dziecka czy rocznica, często wiążą się z przekazaniem lub otrzymaniem klejnotów. Z czasem te przedmioty nabierają wartości emocjonalnej, która potrafi zmienić ich wygląd i odczucia. Na przykład, rodzice przekazują dzieciom rodzinne pierścionki czy naszyjniki, które zyskały na znaczeniu dzięki wspomnieniom i uczuciom związanym z określonym wydarzeniem. W ten sposób, emocje i przeżycia tworzą unikalny blask, który trudno oddzielić od fizycznego wyglądu kamienia.

b. Znaczenie sentimentów i pamiątek związanych z klejnotami w kształtowaniu ich blasku emocjonalnego

W polskiej kulturze rodzina odgrywa ważną rolę w przekazywaniu klejnotów jako symboli więzi i miłości. Na przykład, złote obrączki czy medaliki z rodzinnych kolekcji, które przechowywane są z dumą i sentymentem, stają się nośnikami emocji. Ich „blask” nie wynika jedynie z fizycznych właściwości kamieni, lecz także z głębi wspomnień i uczuć, które są z nimi związane. Takie emocjonalne powiązania potrafią „uwypuklić” ich wartość i piękno w oczach właściciela.

c. Przykłady z polskiej tradycji – rodzinne klejnoty jako nośniki wspomnień

Przykładami mogą być tradycyjne, dziedziczone po pokoleniach pierścionki, broże czy medaliki, które mają nie tylko wartość materialną, lecz także głęboki wymiar emocjonalny. Wiele rodzin w Polsce pielęgnuje zwyczaj przekazywania takich klejnotów podczas ważnych uroczystości, co czyni je symbolami kontynuacji i więzi międzypokoleniowej. To właśnie te emocje i wspomnienia sprawiają, że ich blask wydaje się jaśniejszy, a ich wartość nie jest tylko kwestią metali czy kamieni.

3. Psychologiczne mechanizmy wzmacniające blask klejnotów

a. Efekt potęgujący emocje i wspomnienia w postrzeganiu fizycznego blasku kamieni

Psychologia potwierdza, że silne emocje mogą wpływać na nasze postrzeganie estetyki. Gdy osoba myśli o ważnym wydarzeniu związanym z klejnotem, jej mózg może „wzmacniać” wizualne odczucia, sprawiając, że kamień wydaje się jaśniejszy i bardziej olśniewający. Takie zjawisko ma swoje odzwierciedlenie w codziennym życiu, gdy emocje wpływają na naszą percepcję piękna, podkreślając, że postrzeganie nie jest jedynie kwestią obiektywną, lecz także subiektywną interpretacją uczucia.

b. Jak pozytywne emocje mogą poprawiać naszą percepcję estetyki klejnotów

Pozytywne emocje, takie jak miłość, duma czy wdzięczność, mogą „odbijać” się na naszej percepcji, sprawiając, że nawet zwykły kamień wydaje się mieć wyjątkowy blask. Badania wykazują, że w stanach wysokiego nastroju ludzie postrzegają piękno bardziej intensywnie i są skłonni dostrzegać szczegóły, które w normalnych okolicznościach mogą umknąć. W kontekście polskiej tradycji, takie emocje często towarzyszą obdarowywaniu klejnotami w chwilach wielkiego znaczenia, co jeszcze bardziej potęguje ich postrzeganą wartość.

c. Wpływ afirmacji i osobistych historii na odczuwanie ich piękna

Afirmacje, czyli pozytywne stwierdzenia powtarzane na temat własnych klejnotów, mogą wzmacniać ich znaczenie emocjonalne. Opowieści związane z kamieniami, np. „Ten diament przypomina mi o najważniejszym momencie mojego życia”, sprawiają, że ich postrzeganie jako pięknych i wyjątkowych staje się silniejsze. W polskiej kulturze, gdzie opowieści rodzinne odgrywają dużą rolę, takie historie potrafią przemienić zwykły klejnot w symbol wielkich emocji i wspomnień, które „rozświetlają” jego powierzchnię od wewnątrz.

4. Symbolika emocji w kontekście wartości i mocy klejnotów

a. Jak emocje związane z klejnotami odzwierciedlają ich symboliczną wartość

W polskiej tradycji klejnoty często symbolizują nie tylko piękno, lecz także uczucia i wielkie chwile. Na przykład, pierścionek zaręczynowy nie jest jedynie ozdobą, lecz symbolem miłości i zobowiązania. Emocje związane z tymi przedmiotami podkreślają ich wartość symboliczną, czyniąc je „bardziej świetlistymi” w oczach obdarowanych. W ten sposób, uczucia i emocje nadają klejnotom głębszy wymiar, który wykracza poza ich fizyczną formę.

b. Czy emocjonalne zaangażowanie może „uaktywnić” ukryte właściwości kamieni

Niektóre teorie ezoteryczne sugerują, że silne emocje mogą „aktywizować” ukryte właściwości kamieni szlachetnych, zwiększając ich energię lub moc ochronną. W polskiej kulturze wierzy się, że odpowiedni nastrój i intencje mogą wpłynąć na „wibracje” kamieni, czyniąc je jeszcze bardziej skutecznymi w ich symbolicznej roli. Choć nauka nie potwierdza tego w pełni, wiele osób odczuwa, że ich własne uczucia i zaangażowanie mają wpływ na postrzeganie i wartość posiadanych klejnotów.

c. Rola emocji w procesie przekazywania klejnotów jako symboli wielkich chwil

W polskiej kulturze tradycją jest przekazywanie klejnotów podczas ważnych uroczystości — ślubów, chrzcin, pochówków czy rocznic. Te przedmioty, nasycone emocjami, stają się symbolami miłości, pamięci i więzi. Emocje, które towarzyszą tym momentom, potrafią „zamknąć” w kamieniach energię i znaczenie, które będą „świetliły się” w sercach kolejnych pokoleń. W ten sposób, klejnoty stają się nośnikami emocji i wspomnień, które potęgują ich naturalny blask.

5. Czy emocje i wspomnienia mogą fizycznie wpływać na blask klejnotów?

a. Analiza naukowych i ezoterycznych teorii na temat energii emocji i kamieni szlachetnych

Nauka współczesna nie potwierdza, by emocje miały bezpośredni wpływ na fizyczne właściwości kamieni, takie jak ich blask czy twardość. Jednak w wielu tradycjach ezoterycznych, w tym w polskich wierzeniach, uważa się, że energia emocji może wpływać na wibracje kamieni, co z kolei może mieć wpływ na ich „moc” i postrzeganie w oczach właściciela. Teorie te opierają się na przekonaniu, że wszystko wokół ma swoją energię i że nasze uczucia mogą oddziaływać na otaczającą materię, w tym na kamienie szlachetne.

b. Przykłady z polskiej tradycji i wierzeń o magicznych właściwościach klejnotów związanych z emocjami

W polskiej kulturze istnieją opowieści o kamieniach, które potrafią „magicznie” reagować na emocje właściciela. Na przykład, wierzono, że szafiry mogą chronić przed złem, jeśli właściciel czuje do nich miłość i zaufanie. Podobnie, wierzenia mówią o kamieniach, które w odpowiednich emocjach mogą wzmacniać pozytywną energię lub odganiać złe wpływy. Choć nie ma na to naukowych dowodów, takie wierzenia odgrywają ważną rolę w tradycyjnej kulturze i duchowości Polaków.

c. Czy i jak własne emocje mogą wpływać na fizyczne właściwości kamieni

🗺️ The Migration Journey

ADN leveraged the AWS Migration Acceleration Program (MAP) to ensure a smooth and efficient transition to AWS. The program provided a structured approach to modernization, enabling ADN to plan, execute, and streamline its migration with reduced risk and greater predictability.

The journey followed the three phases of the MAP framework, each addressing a critical step in ADN’s transformation:

• Assessment Phase – Conducted a deep audit of workloads, streaming architecture, and content delivery, pinpointing scaling limits, operational risks, and areas where latency affected user experience.
  
• Mobilize Phase – Developed a future-ready architecture using Kubernetes for microservices orchestration, an optimized data lake for metadata handling, and enhanced edge delivery to improve playback quality and reduce buffering.
  
• Migrate & Modernize Phase – Carried out the migration with parallel modernization of data and applications, implementing automation, observability, and failover strategies to keep downtime to a minimum.

🛠 Migrating Microservices to Amazon EKS

ADN’s legacy deployment approach was functional but increasingly complex to maintain, especially with the growing number of microservices that powered streaming, content management, and user-facing features.

• Move to Kubernetes: Moving to Amazon Elastic Kubernetes Service (EKS) provided a fully managed control plane, reducing ADN’s operational overhead while retaining flexibility in workload orchestration.
  
• Scaling considerations: ADN’s traffic patterns are highly variable, with spikes during popular series launches and seasonal events. Karpenter was introduced to automate scaling, provisioning compute nodes in response to load while optimizing for cost.
  
• Deployment standardization: With Helm charts, ADN standardized microservice deployments, ensuring consistent configuration across environments.
  
• Observability improvements: Integrating Prometheus and Grafana provided unified, real-time visibility into service health, allowing the team to detect and address issues before they impacted viewers.
  

The EKS migration not only improved ADN’s agility but also set the foundation for faster feature rollouts and more stable streaming sessions.

📊 Building a Centralized Data Lake

One of the strategic goals under the MAP framework was to enable ADN to leverage its growing datasets for better decision-making. Prior to the migration, data was siloed across multiple systems, limiting the scope of analytics.

• Data unification: The team designed a centralized data lake on Amazon S3, serving as the single source of truth for structured, semi-structured, and unstructured data.
  
• ETL pipeline considerations: Using AWS Glue and Amazon Athena, data from multiple ingestion sources—application logs, user behavior metrics, and content metadata—was transformed and made query-ready without requiring complex infrastructure management.
  
• Security & governance: IAM policies and AWS Lake Formation ensured secure access control and compliance with GDPR requirements, which are critical for handling subscriber data in the EU.
  
• Business enablement: The data lake empowered ADN’s analytics teams to identify viewer trends, measure campaign effectiveness, and even inform content licensing decisions based on real audience data rather than assumptions.
  

This analytics backbone positioned ADN to make data-driven decisions quickly, a key advantage in the competitive streaming market.

🌐Optimizing Content Delivery with Amazon CloudFront

Streaming is only as good as the delivery experience, and ADN’s previous setup relied on a self-managed CDN hosted on OVH, which does not provide a managed CDN offering. This approach created additional maintenance workloads for ADN’s engineering team, leaving less time to innovate. During high-traffic moments, the configuration often struggled to keep up. Optimizing this layer was crucial for both user satisfaction and freeing resources to focus on growth.

• Edge performance: Deploying Amazon CloudFront brought content closer to viewers via AWS’s global edge network, reducing latency and buffering during peak hours.
  
• Caching strategy: A tailored caching policy ensured that frequently accessed episodes and previews were served instantly, while dynamic API requests were directed to the origin without unnecessary delays.
  
• Cost and origin protection: Origin Shield and intelligent cache invalidation reduced load on ADN’s origin servers, helping control bandwidth costs while preserving stability.
  
• Security integration: AWS Web Application Firewall (WAF) was integrated at the edge to protect against common web exploits and DDoS attempts, safeguarding uptime during high-profile releases.
  

This CDN optimization meant that fans could enjoy uninterrupted viewing experiences—even when entire seasons dropped at once.

🏆 Outcomes – The Business Impact for ADN

Through the MAP-driven modernization effort, ADN achieved:

📈 Scalability – Migrating to a Kubernetes-based microservices architecture enabled ADN to dynamically scale resources up or down in response to viewer demand. This was particularly critical during new episode releases, when traffic surged significantly. The elastic infrastructure ensured uninterrupted access for users even under peak loads.

⚡ Performance – By optimizing containerized workloads and integrating edge delivery enhancements, the platform achieved reduced video start times and improved stream stability. Viewers experienced smoother playback with fewer buffering interruptions, directly contributing to higher engagement and retention.

💰 Cost Efficiency – Intelligent autoscaling through Karpenter and workload right-sizing prevented over-provisioning, while optimized content delivery lowered data transfer costs. This combination provided ADN with a leaner, more predictable cost model without compromising service quality.

🔍 Data-Driven Decisions – Enhanced observability with Grafana and faster analytics pipelines empowered ADN to quickly identify viewing trends, content performance metrics, and operational bottlenecks. These insights supported more agile decision-making in both content acquisition and targeted marketing campaigns.

🌍 Business Growth – The modernization effort not only improved technology foundations but also enabled ADN to pursue its broader business goals. With a more reliable, scalable, and cost-efficient platform, ADN successfully launched operations in Germany, expanding its reach to new audiences and strengthening its position as a leading anime streaming service in Europe.

Conclusion

ADN’s modernization journey resulted in a cloud-native infrastructure built for scalability and resilience. The transformation delivered performance, cost efficiency, and operational agility—equipping the platform to adapt rapidly to evolving audience behaviors, release schedules, and content strategies.

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

The media and entertainment industry continues to demand reliable, scalable, and monetizable live streaming solutions. Broadcasters, event organizers, and enterprises need systems that not only deliver high-quality video but also provide opportunities for dynamic revenue generation through advertising.

TrackIt TV is a demonstration pipeline designed to highlight how professional broadcast standards can be preserved while extending reach and monetization globally. By combining AWS Elemental MediaLive Anywhere and AWS Elemental MediaTailor, the pipeline offers a fully functional live streaming workflow with advanced ad insertion, showcasing how on-premises video encoding can integrate seamlessly with AWS cloud services.

What is AWS Elemental MediaLive Anywhere?

AWS Elemental MediaLive Anywhere is a feature of AWS Elemental MediaLive that enables live video encoding on on-premises hardware while retaining management, monitoring, and orchestration in the AWS Cloud. This hybrid approach combines the flexibility of cloud-based operations with the control and performance of local infrastructure.

Key Benefits

• Multi-cast support: Efficiently delivers a single stream to multiple internal destinations, ideal for broadcast setups such as studios or stadiums.
  
• Uncompressed signal: Preserves full video quality end-to-end before processing.
  
• AWS as control plane (plug & play): Simplifies on-premises deployment through centralized, cloud-based orchestration and monitoring.
  
• SMPTE 2110 support: Standards-based IP transport for video, audio, and data, compatible with modern broadcast workflows.
  
• SDI support: Ensures smooth integration with existing production equipment for backward compatibility.

The TrackIt TV Streaming Pipeline

Solution Architecture

The TrackIt TV pipeline is structured around three main stages that together form a complete end-to-end streaming workflow:

1. On-Premises Encoding

The workflow begins with video capture and local encoding:

• A camera with SDI output provides the feed.
  
• An SDI acquisition card ingests the signal into a dedicated local server.
  
• AWS MediaLive Anywhere, running on the server, encodes the live video stream.

This ensures that the video is processed locally in compliance with professional broadcast standards before being handed off to the cloud. For example, sports stadiums or live concert venues can encode feeds directly on-site, taking advantage of multicast distribution and SMPTE 2110 support for seamless integration with IP-based broadcast infrastructures.

2. Server-Side Processing & Ad Insertion

Once encoded, the video stream is transferred to AWS for adaptive processing, ad insertion, and global delivery:

• AWS Elemental MediaLive converts the stream into adaptive bitrate formats (HLS/DASH), ensuring consistent playback across devices.
  
• AWS Elemental MediaTailor manages server-side ad insertion (SSAI), seamlessly stitching ads into the stream. Ads can be linear (directly embedded) or non-linear (independently displayed, such as overlays).
  
• Amazon CloudFront distributes the stream worldwide with low latency, supporting large audiences.
  

Non-linear ad insertion is enabled through scheduled triggers:

• Amazon EventBridge Scheduler initiates an AWS Lambda function at regular intervals.
  
• The function injects SCTE-35 ad markers into the MediaLive channel.
  
• MediaTailor processes these markers to determine which ads to serve.
  

This model enables broadcasters to monetize live streams dynamically without disrupting continuity.

3. Client-Side Experience

On the viewer’s side, the stream is rendered by a media player across devices such as desktops, mobile phones, or smart TVs. For non-linear ads, the client communicates with MediaTailor’s Client-Side Ad Tracking API:

• Every 30 seconds, the client polls MediaTailor.
  
• MediaTailor responds with ad payloads, including timing, format, and creative details.
  
• The ad is displayed to the viewer as an overlay or interactive element.
  

The result is a hybrid monetization model:

• Linear ads – Traditional stitched-in ads within the live stream.
  
• Non-linear ads – Interactive elements complementing the viewing experience.
  

This combination provides personalized, relevant ads to viewers while enabling broadcasters to maximize monetization opportunities.

Applications & Business Impact

TrackIt TV highlights how a demonstration pipeline can deliver both technical reliability and business value. By combining on-premises encoding, cloud-based orchestration, and advanced ad insertion, the workflow demonstrates a flexible and scalable model suitable for:

• Live sports streaming
  
• Concerts and festivals
  
• News and broadcast television
  
• Corporate events and conferences
  

Organizations can benefit by:

• Reducing operational costs through simplified infrastructure management.
  
• Expanding revenue streams with SSAI and non-linear ad formats.
  
• Delivering live content globally with minimal latency using Amazon CloudFront.

Conclusion

TrackIt TV demonstrates how a fully functional live streaming workflow can be achieved by integrating AWS Elemental MediaLive Anywhere and AWS Elemental MediaTailor. The pipeline preserves broadcast-grade quality, leverages the scalability of the cloud, and enables advanced, personalized ad monetization. This model provides a future-ready framework for broadcasters and enterprises seeking to deliver premium live streaming experiences while optimizing revenue potential.

About TrackIt

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.