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Aws Partner Advanced Tier Service logo

KansoCloud is now an AWS Advanced Tier Services Partner

KansoCloud has a global team of AWS Certified Solutions Architects that have helped us achieve our AWS Advanced Tier Services Partner status. We have experience across many different industries where we have developed custom solutions that meet and exceed customer expectations. Below are just a few of the many AWS Services we have extensive experience with:


AWS WAF helps you protect against common web exploits and bots that can affect availability, compromise security, or consume excessive resources.

AWS Systems Manager

AWS Systems Manager

is a collection of capabilities to help you manage your applications and infrastructure running in the AWS Cloud.

Amazon DynamoDB

Amazon DynamoDB is a fully managed proprietary NoSQL database service that supports key–value and document data structures

Amazon Elastic Compute Cloud

Amazon Elastic Compute Cloud is a part of Amazon.com's cloud-computing platform, Amazon Web Services, that allows users to rent virtual computers on which to run their own computer applications

AWS Lambda

AWS Lambda is an event-driven, serverless computing platform. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code.

Amazon API Gateway

Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.

Amazon Simple Storage Service

Amazon Simple Storage Service is an object storage service offering industry-leading scalability, data availability, security, and performance.

Amazon RDS

Amazon RDS is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications.

DevSecOps and Application Delivery Automation Services

DevSecOps Vector
Our "Outcome Based" approach combined with an iterative and agile delivery methodology benefits our Clients by providing reliable outcomes at a predictable cost.


  • Secure migration to AWS Container environments (EKS/ECS/Fargate)
  • End-to-End automation supporting Application Development Lifecycle
  • Support for Security & Compliance controls (ex. NIST, PCI etc.) along with AWS Best practices
  • Infrastructure as Code (IaC) - Cloud Formation Templates generated as outcome enable future maintenance
  • Establish an end-to-end automated CI/CD workflow based on AWS CodePipeline
  • Enforce a centralized code repository (AWS CodeCommit) to manage source code, configuration and version control
  • Establish an automated testing infrastructure to cover source code analysis, functional, performance and security testing
  • Ensure a continuous feedback loop so AWS CodePipelines can be updated frequently to improve efficiency

Automation of end-to-end build, deployment and application test automation processes become critical to ensure the tested components and dependencies make their way to production in a repeatable and reliable manner. A well orchestrated Continuous Integration, Continuous Delivery (CI/CD) pipeline plays a critical role in ensuring the successful movement of code through automated testing cycles and through environments. Implementing CI best practices to manage software Infrastructure, Application Delivery & Test Automation development requires a heavier lift with changes to organization culture in addition to appropriate skill sets. More importantly, it takes time to adapt and internalize the culture within an organization. In our opinion, the first step in this journey should be to establish CD pipelines that can start with unit tested software and push it through deployment, verification and automated testing cycles. In our experience, developing and maintaining a test automation framework provides a better long-term ROI compared to supporting manual testing processes for applications. While setting up the initial framework and automation will take additional effort and time upfront, it is completely worth it based on the reliability and savings they offer over time by supporting multiple release cycles with incremental additional effort.

  • Embrace the principle of "Shift-Left" testing in the product lifecycle so that total software development effort and thereby costs can be reduced by using continuous and automated test methodologies. This cost reduction can be achieved as a result of enabling a constant and compressed feedback loop between developers, testers and end-users as part of an integrated product lifecyle
  • Enable flexible pipelines and automation framework using open source platforms so the customer can maximize the use of "No-Code/Low-Code" constructs and develop specific plugins to only cover any special testing requirements
  • Integrate automated testing with the version control system so that the processes to build, deploy and test are automatically triggered based on developer actions such as a request to merge code into the appropriate branch

SRE-Based Managed Operations

SRE-Based Operations Vector


  • 24X7 SRE-based Managed Operations for Cloud and Container environments running on AWS
  • AWS Config based detective controls to assess, monitor, and evaluate the configurations of supported AWS resources. This allows for automated evaluation of recorded configurations against desired configurations to detect configuration drifts
  • Using platforms such as AWS Systems Manager, automatically collect software inventory, apply operating system patches, create system images, and configure Windows and Linux operating systems. AWS Systems Manager combined with AWS Catalog efficient management of Patching/DR Strategy & Backups
  • Continuous Security, Compliance & Cost Optimization based on AWS Security Hub to to achieve a comprehensive view of security alerts and security posture across all AWS accounts. Security Hubaggregates, organizes, and prioritizes security alerts for further action
  • Proactive Incident, Change & Release Management

Modern operations organizations are expected to either undertake proactive preventive action to address potential issues or support automated remediation of issues with little or no human intervention. There are two philosophies when it comes to detecting and remediating issues within an operational infrastructure.

  • Reactive

    Detect issues “as soon” as they occur and then execute appropriate remediation blueprints

  • Proactive

    Monitor for symptoms that can lead to known issues, provide recommendations for remediation before the issue can occur

Instead of waiting for issues to occur and then detect them for further remediation, we utilize industry leading tools to identify problematic patterns as they occur so that operations teams can stay ahead so we can stay ahead of issues and take remedial action. These tools are based on Machine Learning techniques that can analyze application behavior and constantly evaluate remediation efficacy to improve the overall operational environment.

Listed below are brief blogs reviewing some popular DevOps topics based on recent customer implementations completed by the KansoCloud team.

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