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Our team on Financial Sector digitalization.

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Use Case: Financial Risk Data Analytics Pipeline and Lakehouse

Posted August 10, 2022

Use Case: Ensuring Application and Environment Resiliency through the Failure Mode Effect and Analysis Framework 

Posted July 26, 2022

Solution Spotlight – Performance Testing Foundations

Posted June 15, 2022

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.

Solution Spotlight – Monitoring Foundations 

Posted October 5, 2022

Organizations are rapidly adopting modern development practices – agile development, continuous integration and continuous deployment (CI/CD), DevOps, multiple programming languages – and cloud-native technologies such as microservices, Docker containers, Kubernetes, and serverless functions. As a result, they're bringing more services to market faster than ever. In this solution, learn how to implement a monitoring system to lower costs, mitigate risk, and provide an optimal end user experience.

Best Practice Guide – Monitoring Foundations

Posted October 5, 2022

Monitoring is the act of observing a system’s performance over time. Monitoring tools collect and analyze system data and translate it into actionable insights. Fundamentally, monitoring technologies, such as application performance monitoring (APM), can tell you if a system is up or down or if there is a problem with application performance. Monitoring data aggregation and correlation can also help you to make larger inferences about the system. Load time, for example, can tell developers something about the user experience of a website or an app. Vertical Relevance highly recommends that the following foundational best practices be implemented when creating a monitoring solution. 
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