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Xenonstack Achieves AWS CloudOps Competency

Navdeep Singh Gill | 19 August 2024

Xenonstack Achieves AWS CloudOps Competency
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Cloud Operations Services Competency

Xenonstack Achieves AWS CloudOps Competency 

We are excited to announce that Xenonstack has attained the Amazon Web Services (AWS) Cloud Operations Competency in the Cloud Governance solution area and is honored to be a recognized Partner for this AWS Competency designation. By achieving this, it becomes our third competency along with AWS Machine Learning Competency and AWS DevOps Competency. 

Strengthening Cloud Operations with Proven Expertise

Xenonstack has a proven track record of helping customers plan, build robust solutions, and manage their cloud environments. Enterprises can establish secure, scalable, and cost-efficient cloud environments from the beginning. They can address potential threats, adopt best practices, and meet compliance requirements while integrating with other services and third-party tools.

Comprehensive Solutions Across CloudOps Area

The AWS Cloud Operations Competency allows customers to select validated partners who offer comprehensive solutions with an integrated approach across all five solution areas of Cloud Operations: Cloud Governance, Cloud Financial Management, Monitoring and Observability, Compliance and Auditing, and Operations Management. AWS Cloud Operations Competency Partners have proven experience and expertise in helping customers build a strong and scalable foundation for their end-to-end Cloud Operations. 

 

The AWS Cloud Operations Competency recognizes AWS Partner Network (APN) members with extensive expertise in offering comprehensive guidance across the five solution areas of Cloud Operations. Xenonstack follows AWS best practices and has proven experience in the following solution areas: 

  • Cloud Governance - Partners in the AWS solution area have a demonstrated track record of assisting customers in planning, building, and managing secure, scalable, and cost-efficient hybrid cloud environments. Customers can effectively address potential threats, adopt best practices, and meet compliance requirements while integrating with other services and third-party tools. By establishing an environment optimized for governance, customers can enhance their productivity and operational efficiency.

About XenonStack 

We are a premier firm dedicated to serving as a Data and AI (ARTIFICIAL INTELLIGENCE) foundry for Autonomous Operations. With 12 years of expertise in Data, AI (Artificial Intelligence), and Hybrid Cloud, we are at the forefront of developing Intelligent Distributed Systems and AI-driven solutions. Our mission is to empower enterprises through data-driven Decision Platforms, enabling seamless Digital Transformation.  

Our extensive portfolio comprises 500+ successful projects and 200+ innovative solutions, showcasing our excellence in delivering Managed IT Solutions tailored to our clients' dynamic needs. As a Certified Kubernetes Service provider and trusted partner with AWS (Amazon Web Services) Advanced, Azure, and Databricks, we ensure our solutions are both innovative and reliable.  

We are proud members of the LF Data and AI Foundation, reflecting our dedication to advancing industry standards and practices. Our thought leadership is further demonstrated through the publication of two insightful books and numerous research papers. Our goal is to be recognized as the go-to Data and AI foundry for Autonomous Operations, driving efficiency, reliability, and innovation in every solution we deliver. We empower businesses to thrive in the digital era, leveraging the full potential of Data and AI to achieve autonomous, intelligent operations. 

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navdeep-singh-gill

Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

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