Tag: Amazon Web Services

Solution Spotlight – Application Observability Foundations

Posted January 12, 2023

With the ever-growing adoption of the cloud and hybrid cloud, businesses are struggling to “connect the dots” when it comes to customer experience – regardless of whether the customer is in-house or external. By implementing instrumentation and distributed tracing as discussed throughout this solution, enterprises will be able to leverage their single pane of glass to improve performance at the margins and quickly identify and remediate application issues as they arise.

Use Case: Lakehouse and Data Governance

Posted December 16, 2022

In this use case learn how a leading financial services company obtained a data platform that is capable of scaling to accommodate the various steps of the data lifecycle along with tracking of all the steps involved including cost allocation, parameter capturing, and the providing of metadata required for integration of the client’s third party services.

Solution Spotlight – Data Mesh Foundations

Posted November 24, 2022

A Data Mesh is an emerging technology and practice used to manage large amounts of data distributed across multiple accounts and platforms. It is a decentralized approach to data management, in which data remains within the business domain (producers), while also making data available to qualified users in different locations (consumers), without moving data from producer accounts. It is a step forward in the adoption of modern data architecture and aims to improve business outcomes. A Data Mesh is a modern architecture made to ingest, transform, access, and manage analytical data at scale.

Module Spotlight – Experiment Broker

Posted November 2, 2022

Vertical Relevance's Experiment Broker provides the infrastructure to implement automated resiliency experiments via code to achieve standardized resiliency testing at scale. The Experiment broker is a resiliency module that orchestrate experiments with the use of state machines, the input is driven by a code pipeline that kicks off the state machine but also can be executed manually. Coupled with a deep review and design of targeted resiliency tests, it can help ensure your AWS cloud application will meet business requirements in all circumstances.

Vertical Relevance Achieves AWS Service Delivery Designation for AWS Control Tower

Posted October 27, 2022

NEW YORK, NY –  October 27, 2022 - Today, AWS announced the launch of the AWS Control Tower delivery and AWS Control Tower ready program. Vertical Relevance (VR), a financial services-focused consulting firm and Amazon Web Services (AWS) Advanced Tier Services Partner, announced it has achieved the AWS Service Delivery designation for Control Tower. The achievement signifies Vertical Relevance’s extensive and AWS-recognized understanding of best practices and validated success in delivering Control Tower implementations to its customers

Vertical Relevance Achieves the AWS Service Delivery Designation for Amazon EKS

Posted October 27, 2022

Vertical Relevance, a financial services-focused consulting firm, announced today that it has achieved an Amazon Web Service (AWS) Service Delivery designation for Amazon Elastic Kubernetes Service (Amazon EKS), recognizing that Vertical Relevance has proven success in helping customers architect, deploy, and operate containerized workloads.

Module Spotlight – Role Broker

Posted September 15, 2022

In non-production AWS environments today, security and IAM are often deprioritized to increase velocity of development. Vertical Relevance’s Role Broker was created as an alternative to the costly, error-prone strategies that many organizations use to manage their IAM roles in non-production environments.

Use Case: Service Control Policies (SCPs) Evaluation Engine 

Posted September 13, 2022

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.
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