Regular and robust resiliency testing provides assurances your cloud application can weather whatever outages may occur. The Vertical Relevance Resiliency Automation Framework can help guarantee your workload can prevail through disruptions and failures and prevent the damaging consequences of an outage. Reach out to us to learn more about how we can help you meet your resiliency requirements.
By engaging AWS and Vertical Relevance, the customer was able to automate their deployment of SCPs across their AWS Organization. After implementing a multi-stage pipeline that performed automated checks to ensure that SCPs were compliant with security policies and did not contradict service usage across their accounts, the customer could quickly and reliably make changes to SCPs. With these changes in place, the Security Team updated organization-wide security controls quicker and with more confidence, which drastically improved the overall security posture of the customer.
Vertical Relevance is now a Built on Control Tower (BoCT) and AWS Well-Architected Management & Governance partner. AWS customers can choose turnkey solutions from Vertical Relevance which complement Control Tower capabilities to enhance their Control Tower environments through customized guardrails, account factory, identity management, security information and event management, and regulatory compliance solutions.
This designation recognizes Vertical Relevance’s expertise in enabling customers in the financial services industry to effectively utilize the AWS cloud and deliver application functionality to customers quickly and efficiently.
This is the latest example of how Vertical Relevance is a leader in the Policy as Code space. This post outlined how to operationalize PaC with a serverless Evaluation Engine as part of the broader Control Broker solution. Get in touch with us to learn more about the benefits of operationalizing the automated enforcement of security policies
While there are many different components involved with securing the cloud, a carefully architected IAM strategy is paramount. A solid IAM strategy allows engineers to develop quickly, provides key stakeholders with a comprehensive picture of the actions that can be performed by different IAM principals, and results in a more secure cloud environment overall. Security without reasonable user experience can lead to workarounds and dysfunction, and by implementing this solution, both key stakeholders and engineers can all be satisfied with the result.
Best Practices for Designing and Automating Scalable Networks on AWS. Vertical Relevance highly recommends that the following foundational best practices be implemented to create a sustainable AWS Network that will support an enterprise-level organization.
This AWS Network Foundation solution provides an opinionated, foundational set of network architectures, design considerations, automated solutions, and best practices that help our clients “quick start” their AWS journey with a strong foothold while ensuring the scalability and growth they are likely to require as their AWS footprint grows. Vertical Relevance highly recommends that the following foundational best practices be implemented to create a sustainable AWS Network that will support an enterprise-level organization.
How one of the world's largest investment companies is migrating data to AWS using a Lake House. By engaging with AWS and Vertical Relevance, the Customer was able to decide which incremental “Waved” approach is best aligned with their needs. The Customer now has a plan for completion of successful migration to the next best Lake House AWS architecture state as well as managing risks while delivering business value at each increment.
By implementing a Lakehouse, an organization can avoid creating a traditional data warehouse. Organizations are enabled to perform cross-account data queries directly against a Lake Formation Data Lake through Redshift Spectrum External Tables and/or Athena. Table and Column-Level access granularity achieved through Lake Formation Permissions. Data Lake Governance enabled through Lake Formation Resource Shares. Multi-regional, parameterized, infrastructure-as-code deployments. Full data flow and processing pipeline with Glue Jobs, orchestrated by a single Step Function.