Peer-Driven Insights

Architecture

Community Posts

Has anyone successfully negotiated with a big hyperscaler partner to introduce a term into the contract that establishes service prices as public price at time of contract execution and holds those prices flat for the entire contract term? We're trying to think of ways to mitigate potential future cost increases if public prices change (due to tariffs or other unknown conditions) and dilute the impact of negotiated discounts.

We have a servicing organization within IT segmented by applications and has 3 different director teams supporting overall pieces which is creating confusion, misalignment and becoming harder to support one business area.  Components considered within this org are: PEGA products (NCompass, G&A), Genesys Cloud,  Google, Member Portal and Member Mobile.   How should i look at proposing a new target state Org considering all these aspects/products? Any ideas?

Our organization is implementing an Internal Developer Platform (IDP) to enable self-service infrastructure provisioning, and we're evaluating Terraform Cloud workspace management strategies.  We're debating between: - VCS-driven approach: Repository-based workspace management with GitOps workflows - API-driven approach: Programmatic workspace creation and management via Terraform Cloud APIs Specific Questions: - Which approach have you found more effective for true self-service at scale? - How do these approaches handle multi-tenancy and isolation requirements? - What integration challenges did you encounter with developer portals/service catalogs? - How did your choice impact developer adoption and platform team operational overhead? Would love to hear about your real-world experiences, particularly around the trade-offs you discovered post-implementation.

What advice do you have for technology leaders that need help navigating the US administration's executive order to recalibrate the nation's AI strategy? Where do I begin?

Read More Comments

ITIL is a strong framework for delivering IT services to modern organizations.

Strongly agree11%

Agree66%

Neither agree nor disagree17%

Disagree3%

Strongly disagree1%

View Results

Looking at adopting Blazor for small to mid-sized projects (primarily the Server-Side Interactive mode). Any thoughts on Blazor Server-Side in production - whether development experience, user experience, support, etc? Have you had to support a user base that has less-than-ideal network conditions?

Is anyone working on automation of EA Practice activities such as design and/or roadmap development through the use of AI tools? This could include but not be limited to strategy, analysis, solution development, governance submissions, standards review, white papers etc. We are using ARIS as an EA repository and are considering the use of the AI companion or perhaps even standalone AI tools to import, process, analyses & publish. Happy to discuss ideas for future implementation.

Which of the following activities best characterize your focus and how you spend your time in your current role?

Transformational44%

Strategic44%

Functional10%

View Results

Where do you think your organization needs the most help in the Cloud related technologies / solutions?

Cloud Security33%

Cloud Data Analytics (Streaming, Big Data, AI, Data Lake, Data Warehouse etc.)51%

Cloud Migration / Modernization43%

Cloud Native Development (DevOps, Micro Services, Containers, Kubernetes, etc.)31%

Cloud Data (Databases, Data Management, Governance, etc.)14%

View Results

AI and Research in Marketing and Communications: How Are You Ensuring Quality and Truth Over Speed? As AI becomes embedded in our day-to-day marketing operations, from customer insight to content strategy, it’s clear we’re gaining speed and scale. But are we sacrificing veracity and quality of output in the process? One of the biggest challenges I'm seeing is the rise of hallucinated content in AI-generated research.   - How do we ensure AI systems are surfacing trustworthy, contextually accurate, and well-sourced information? - Are we building enough verification layers into our AI-driven content and research workflows? - And how are you educating teams (and execs) to challenge AI outputs, rather than accept them at face value? - What frameworks, tools, or governance models have you adopted to maintain integrity and depth in AI-led research and insight creation? - Have you had success (or struggles) balancing speed vs. substance in AI-powered strategies? Your thoughts, examples, and recommendations would be incredibly valuable in helping others try to navigate this shift responsibly.

How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented 

Read More Comments

We are looking for a solution to implement a chatGPT-like solution on premise? The solution should propose a GUI & back end components, ability to connect to LLM on prem and in the cloud (routing according to sensitivity of the data). Feature examples: questions to document/knowledge base, simple agent creation, RAG, and multimodal.

Read More Comments

How will GenAI advancements disrupt traditional DocAI or Intelligent document processing landscape? Are there any emerging trends? Which use cases might be impacted?

Read More Comments

We’re currently exploring options to implement an iPXE-based WinPE deployment solution in Microsoft Azure. Our goal is to streamline OS provisioning for virtual machines using cloud-hosted boot scripts and WinPE images, ideally over HTTP/S for performance and flexibility. Key requirements: Must support iPXE booting in Azure (via ISO, custom VM image, or chainloading). Ability to host and serve WinPE images securely (e.g., via Azure Blob Storage or web server). Cyber Essentials Plus compliance is essential, as we operate in a regulated environment. Preferably a UK-based provider with experience in secure cloud deployments and endpoint provisioning. We’ve looked into solutions like 2Pint Software’s iPXE Anywhere, but we’re open to other vendors or managed service providers who can assist with setup, integration, and ongoing support. Has anyone implemented a similar solution or worked with a provider who meets this criteria? Any recommendations or lessons learned would be greatly appreciated.

We are in the process of deploying SAP LeanIX and I'm curious about some of the key use cases other LeanIX customers have been able to explore.  As an Enterprise Architecture practice, we are primarily concerned with strategic alignment and planning so anything in these areas would be great.

What use cases have created value in your particular organization?

Read More Comments

Does someone have advice on how they have balanced the risk/reward as it relates to introducing Open-Source Software to organization? My org is dipping its toe into the OSS world and the architecture and risk governance teams are looking to get ahead of these requests by coming up with policies and standards for OSS technology being brought into our environment. To clarify, this is not for software development and CI/CD pipelines, SDLC etc. This is for installing solutions that already exist out there (Zabbix, GreyLog, Prometheus etc.) into the organization's environment. We are looking to provide a balance on the obvious risk with the ability to move fast (like everyone else now).