Vertical Relevance, a consultancy that specializes in delivering AWS solutions to financial services and other regulated industries, announced today that they have achieved Premier Tier status in the AWS Partner Network (APN).
Achieving AWS Premier Tier Services Partner status places Vertical Relevance among the top-tier AWS partners globally, signifying demonstrated expertise and notable success in helping customers design, architect, build, migrate, and manage workloads on AWS.
Overview Resilience and reliability of software systems are of critical importance; unplanned downtime and system failure not only impact revenue but can also undermine customer trust and loyalty. As businesses increasingly depend on complex systems, it is essential to implement rigorous testing to verify that applications can withstand unexpected disruptions. Doing so, however, requires significant […]
OPA adoption is becoming more frequent as the need for ensuring sound and secure IAC is moved to the forefront of many organizations, but writing OPA policies can be challenging and time consuming due to its unintuitive syntax. OPG takes the pain out of writing OPA policies for a more secure infrastructure.
[January 18, 2024 ]– Vertical Relevance, an Amazon Web Services (AWS) Advanced Tier Services Partner, announced today that it has achieved AWS Migration Competency status. This designation recognizes that Vertical Relevance has demonstrated expertise to help customers move successfully to AWS and help achieve their cloud migration goals.
Vertical Relevance’s Monolith to Microservices Foundation provides a proven framework on how to break the monolith and deliver improved agility to increase the pace of innovation and drive value to your customers and your business. By following the approaches laid out in this Foundation, customers will manage risk and lay out a consistent iterative approach to decompose the monolith into cloud native microservices, following a well-defined process.
The Experiment Generator simplifies the resiliency testing process and accelerates its adoption, organization wide. Implementing the Experiment Generator brings an organization one step closer to its resiliency goals, both in relation to people and processes, in breaking down team barriers and automating as much as we can.
If you're looking to modernize your applications, containers are a powerful tool that you can't afford to ignore. Containers are portable, lightweight, and allow for easy deployment, scaling, and management of applications. They also provide more robust operability and engineering agility. However, as you adopt containerized architectures, you may face challenges in managing the numerous unique services that come with them. That's where container orchestration comes in. In this solution, we explain how specific tools work together to provide a streamlined and efficient way to manage containers at scale, enabling organizations to improve their engineering agility and operational efficiency.
Hosting workloads in the cloud can simplify hardware procurement and maintenance, but it doesn’t protect against failures in applications and infrastructure. Many site reliability practices focus on designing highly available architectures, creating resiliency tests, and automating failover for specific components, but these precautions do not replace the need for people and processes to respond effectively during a system failure. In this solution, we discussed the significance of ensuring operational resiliency through gameday execution. We demonstrated how to set up gamedays and how they can supplement your efforts to ensure operational resilience.
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.
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.