The Data Pipeline Foundations provide guidance on the fundamental components of a data pipeline such as ingestion and data transformations. For data ingestion, we heavily leaned on the concept of data consolidation to structure our ingestion paths. For transforming your data, be sure to utilize our step-by-step approach to optimize architecting your data for end-user consumption. By following the strategies provided, your organization can create a pipeline to meet your data goals.
The Vertical Relevance Automated Performance Testing Framework lowers the barrier to entry in performance tests by providing a starting point upon which a mature solution can be built to meet the needs of your organization. By following this guidance, you can gain confidence that your production systems are going to meet the current and future demands of your organization and customers
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.
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.
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.
How a leading multinational asset management firm is leveraging AWS Control tower to automate account provisioning and configuration of guardrails to ensure agility and security at scale.