Cloud9

AWS Elastic Container Service Service Delivery Program

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AWS ECS (Elastic Container Service) is a fully managed container orchestration service from Amazon Web Services (AWS) that makes it simple to run, scale, and secure Docker containers in production. It supports both long-running applications and batch jobs, offering deep integration with the AWS ecosystem, predictable performance, and operational simplicity.

 

What we bring

At Levi9, we are proud participants in the AWS ECS Service Delivery Program, delivering fully certified expertise in designing, building, migrating, and optimizing container-based workloads on ECS. Whether you are just beginning your container journey or already running production services, we help you realize the benefits of containerization without the operational concern.

 

We support organizations in:

Key Features & Benefits of AWS ECS with Levi9

AWS Elastic Container Service (ECS) simplifies the deployment and management of containerized applications at scale. It provides a managed, reliable platform that integrates seamlessly with the AWS ecosystem, allowing you to focus on building and running your applications rather than maintaining the infrastructure.

ECS offers a fully managed orchestration layer where AWS takes care of provisioning, scheduling, and scaling containers. This means teams can run applications with predictable performance and minimal operational overhead.


By integrating deeply with services like AWS Fargate, CloudWatch, IAM, and Elastic Load Balancing, ECS delivers an end-to-end environment for running secure, scalable, and cost-efficient workloads.

 

The service supports both EC2-based and serverless (Fargate) deployment models, giving flexibility to balance control, performance, and cost according to project needs. It automatically adjusts resources to match demand, ensuring applications stay responsive while optimizing costs through intelligent task placement and autoscaling.

 

Security and compliance are built into the core of ECS. Each task can assume dedicated IAM roles and operate within isolated network environments, ensuring that your containers are protected by fine-grained access control and encryption standards.

 

ECS also improves operational visibility with detailed monitoring and logging through CloudWatch and AWS X-Ray. This gives teams clear insights into performance, cost, and resource utilization, helping to optimize applications over time.

 

Ultimately, AWS ECS provides a stable and production-ready foundation for running containerized workloads – combining operational simplicity with enterprise-grade scalability, security, and cost efficiency.

June 26th

The Cost of Choice

Most companies spend up to 40% to much on cloud, are you? Cut spend, not options. Smart standardizations win.

Cloud cost overruns and growing technical debt rarely stem from tooling alone—they are symptoms of architectural and operational choices. This session looks at how senior technical leaders can regain control by connecting cloud spend directly to business value. We’ll explore unit‑economics thinking, ownership models, and lifecycle management practices that reduce waste while preserving delivery speed. You’ll learn how to combine FinOps principles with technical‑debt controls to create a cloud environment that is financially sustainable and technically healthy.

May 28th

AI AGENTS DESERVE AI PLATFORM

Portable patterns for Azure, AWS and GCP that survive the next upgrade

AI agents are moving rapidly from experimentation into real production use cases, but architectures vary widely across cloud platforms. In this webinar, we compare practical patterns for building and running AI agents on Azure, AWS, and Google Cloud Platform. We’ll focus on what to standardize, where to embrace cloud‑native capabilities, and how to design for security, observability, and future change. The goal is not to pick a winner, but to help leaders understand how to scale agent‑based solutions without locking themselves into fragile designs.

April 23rd

Winning on Repeat: Product Engineering in the Age of AI

Cadence, quality and outcomes over output

Delivering a successful solution once is no longer enough. In the age of AI, organizations need product engineering models that enable them to win consistently across teams, releases, and markets. This session explores how leading organizations evolve from project‑centric delivery to product‑centric execution, supported by AI‑augmented engineering practices. We’ll look at cadence, quality, and accountability, and how leadership decisions shape sustainable delivery performance over time.

April 2nd

GOVERNING AI IN PRODUCTION

Designing cloud and data platforms that survive real-world pressure

Many organizations succeed in building AI proofs of concept, far fewer succeed in scaling them safely into production. This webinar focuses on what it takes to move from experimentation to reliable, governed AI platforms. We’ll discuss platform architecture choices, model governance, security, and policy patterns that enable teams to deploy AI at scale without slowing down delivery. Designed for senior technical leaders, this session provides practical guidance on turning AI initiatives into durable capabilities that deliver value beyond the first demo

March 5th

Navigating Digital Sovereignty and Strategic Cloud Choices

How Organizations Can Balance Innovation, Compliance, and Control in a Multi-Cloud World

In today’s rapidly evolving digital landscape, organisations face increasing pressure to ensure business continuity, maintain public trust, and comply with complex regulations like NIS2, DORA, and GDPR. This webinar explores the critical concepts of digital and operational sovereignty, the strategic importance of hybrid and sovereign cloud models, and the risks of vendor lock-in.