Tag: AWS CodePipeline

As more organizations make the move to a SaaS delivery model, many are choosing Amazon EKS as the target for their solutions. The programming model, cost efficiency, security, deployment, and operational attributes of Amazon EKS represent a compelling model for SaaS providers. Walk through the key architectural elements of a sample architecture, and learn how to isolate tenants within an EKS cluster, automate tenant onboarding, manage tenant identities, and support routing of tenant workloads.

As part of adopting a multi-tenant SaaS model, a key challenge is how to provide strong tenant isolation in a cost effective and scalable manner. Being able to effectively isolate your tenants is an important part of a multi-tenant system. Learn how dynamic policy generation gets applied as part of the overall isolation story of your SaaS solution, and follow along with AWS reference implementation to demonstrate how to use dynamically generated policies in code.

Automation and integration are critical to producing applications with fewer flaws at a speed that won’t slow developers down. However, this is only possible with a well-planned DevSecOps program and the right tools embedded into your software development lifecycle. Dig into the importance of the digital shift and how you can implement DevSecOps into existing workflows with the combined control of Veracode’s scanning tools and AWS integrations.

Security and compliance governance is one of the most challenging problems organizations face when managing their cloud infrastructure. After years of working with AWS, Datacom Group has observed that each client has their own industry-specific security and compliance requirements. What’s needed is a solution that is flexible enough to cater to diverse customer requirements. Datacom’s governance solution is flexible and can integrate with a number of AWS native services to offer enhanced capabilities.

Aqua Security was built to redefine security and help you address the security skills gap in a rapidly evolving cloud-native landscape, automating security controls at the speed of DevOps. Unlike traditional security, cloud-native security cannot adopt a one-size-fits-all approach. It has to be seamlessly integrated with the existing processes, organizational culture as well as the technology. Learn how to implement a DevSecOps pipeline using AWS CodePipeline and Aqua Platform.

AWS App2Container (A2C) is an enabler for containerizing and migrating legacy applications to AWS quickly. Its value-add is specifically seen for use cases where the legacy system in question is large with heterogeneous applications, where A2C helps to bring a commonality to the migration approach, tools, and the target state architecture. With A2C, customers can quickly containerize their legacy applications and migrate to AWS with minimal remediation and at scale.

Shift-Left is increasingly being employed within DevOps organizations to ensure companies minimize risk early in their infrastructure as code (IaC) deployment cycle. This post explains how to combine two of the technologies that make Shift-Left possible. The first is AWS CloudFormation, which represents IaC, and the second is Trend Micro’s Template Scanner, which checks your IaC to make sure it conforms to the AWS Well-Architected Framework.

Mainframes typically host core business processes and data. To stay competitive, customers have to quickly transform their mainframe workloads for agility while preserving resiliency and reducing costs. There is a challenge in defining the agility attributes and prioritizing the corresponding transformations for maximum business value in the least amount of time. In this post, dive deep in the practical agility attributes needed by mainframe workloads, and how to accelerate the transformation towards such agility with AWS.

As larger and more complex workloads are deployed on AWS, multi-account solutions are an increasingly common architectural blueprint. Often referred to as cloud “landing zones,” these blueprints enable simple administrative boundaries. However, using multiple accounts increases the complexity of security tooling, access control and authorization, and cross-account networking. AWS Control Tower simplifies the process of setting up multi-account environments with predefined security baseline templates.

Deploying AI solutions with ML models into production introduces new challenges. Machine Learning Operations (MLOps) has been evolving rapidly as the industry learns to marry new ML technologies and practices with incumbent software delivery systems and processes. WordStream is a SaaS company using ML capabilities to help small and mid-sized businesses get the most out of their online advertising. Learn how Slalom developed ML architecture to help WordStream productionize their machine learning efforts.