BluePes Blog: Insights & Trends
BI Readiness for 2026: Governance, Lineage, and Cost Control
BI readiness became a priority for mid-market companies in 2025. Updates in Power BI Fabric and AWS Quick Suite introduced clearer governance rules, more detailed lineage tracking and more transparent refresh behaviour. These improvements highlighted the areas that require preparation before reporting workloads expand in 2026. This article summarises practical steps that help organisations stabilise governance, control costs and maintain consistent reporting across departments. The examples referenced come from public Microsoft and AWS documentation as well as several case studies published during 2024–2025.
- Dec 29, 2025
- 10 min
Data Quality Rules for 2026: What Mid-Market Companies Must Prepare Now
Data quality became a central focus for BI teams in 2025. Power BI Fabric expanded lineage visibility and semantic model controls, while AWS Quick Suite introduced updates to dataset governance, refresh tracking and SPICE capacity behaviour. These changes shaped clearer expectations for how datasets should be validated before downstream dashboards rely on them. This article summarises practical data quality rules that mid-market companies apply to keep reporting flows stable as datasets grow and as more departments depend on shared metrics. Public examples referenced throughout this article come from Microsoft, AWS and mid-market organisations that shared their cases in 2024–2025.
- Dec 22, 2025
- 10 min
How Business Analysts Design Scalable Reporting Flows in 2025–2026 (Quick Suite and Power BI Fabric)
In 2025, reporting workflows changed due to updates in Power BI Fabric and AWS Quick Suite. Teams revised how they define metrics, structure datasets, manage permissions, and validate data before dashboards reach stakeholders. This article summarises practical methods used by Business Analysts in mid-market companies to keep reporting flows predictable when datasets grow and when more teams depend on shared dashboards. All examples are based on publicly available information from Microsoft and AWS, as well as industry case studies published in 2024–2025.
- Dec 15, 2025
- 10 min
How to scale Boomi integrations under high load: Molecules, tuning, and monitoring
Queue buildup is usually the first warning. Processes that completed in seconds start taking minutes, retry counts climb, and the operations team begins investigating what looks like a connector issue — but the actual cause is a single-node runtime that was not built for this volume. Bluepes is an independent software and integration consulting company that works with Boomi on client projects across healthcare integration projects and fintech environments. This article is for CTOs and engineering managers who already run Boomi and are starting to see performance pressure under growing load. Next — a structured explanation of how Molecule architecture addresses this, which parameters to tune, and how to build monitoring that catches degradation early. Boomi provides three tools for managing high-load scenarios: Molecules for horizontal runtime scaling, performance tuning for thread and JVM configuration, and process-level monitoring for operational visibility. Used together, they let organizations grow integration volume without the brittleness of a single-node deployment.
- Dec 08, 2025
- 15 min
Hybrid Integration Architecture with Boomi: Connecting Cloud and On-Prem Systems Without Disruption
Most enterprise environments are not fully in the cloud, and for good reason. ERP systems, compliance-sensitive databases, and internally hosted applications carry years of business logic that cannot be lifted and shifted without serious risk. The real architecture challenge is not choosing between cloud and on-prem — it is building a bridge between them that holds under production load. Bluepes is an independent software consulting company that works with Boomi as one of our integration platforms. Hybrid architecture is among the most frequent scenarios our clients bring to us. This article is for IT Directors and CTOs at mid-market companies who already operate mixed environments and need a clear picture of how hybrid integration actually works — the components involved, the security model, and where things break when the architecture is designed carelessly. Hybrid integration connects cloud services with on-premises systems through a runtime layer that handles data exchange, transformation, and orchestration. Neither environment needs to change its core structure — the integration layer abstracts the differences between them.
- Dec 01, 2025
- 15 min
API governance in Boomi: how mid-market teams keep control
When a mid-market company runs 50 active integrations and six product teams pushing API changes independently, governance stops being a process question and becomes a risk question. One team overwrites a shared endpoint. Another deprecates a version without notifying consumers. A partner integration breaks at 2 a.m. with no clear owner to call. Bluepes is an independent integration consulting company that works with Boomi as one of its core platforms. This article draws on that hands-on experience — not as Boomi's representative, but as a team that has debugged the consequences of missing governance and helped clients build the structures that prevent them. This article is for CTOs, VP Engineering, and IT Directors at mid-market organizations who manage growing API catalogs and want a practical governance model they can implement incrementally. Next — a breakdown of the five governance layers, how each maps to Boomi's tooling, and where teams typically lose control. API governance in Boomi means applying consistent rules for how interfaces are designed, secured, versioned, and retired. The Boomi API Management module provides the infrastructure. The design conventions, ownership assignments, and review cadences are decisions the engineering team makes. Organizations that get this right reduce integration failures, shorten partner onboarding, and make security audits straightforward rather than stressful.
- Nov 24, 2025
- 15 min
Why Agentic AI in the Enterprise Depends on the Integration Layer
Most enterprise AI projects do not fail because the models are inadequate. They fail because the data feeding those models is inconsistent, delayed, or simply unreachable. According to a 2025 analysis, why AI agent pilots fail in production comes down to one recurring problem: the absence of a structured integration layer between AI systems and enterprise data. This article is for CTOs and VPs of Engineering who are evaluating how to introduce AI agents into existing enterprise infrastructure. It addresses what integration architecture those agents actually require to work reliably — and where Boomi fits into that picture. The short answer: agentic AI needs a stable, governed integration layer to access enterprise data, trigger downstream processes, and log every action taken. Without that layer, agents either operate on incomplete information or become impossible to audit and explain.
- Nov 17, 2025
- 15 min
Java FHIR Subscriptions in Healthcare: Event-Driven Updates Without Polling (R4/R4B)
Polling clinical systems is slow, noisy, and brittle. Interfaces burn capacity on repeated checks, dashboards drift out of date, and edge cases multiply under load. FHIR Subscriptions offer a cleaner path: publish changes as events and deliver them to the consumers that actually need them. With Java 21, Spring Boot 3, and HAPI FHIR, a team can implement subscriptions that scale, respect privacy, and survive real hospital traffic. This article explains when subscriptions beat polling, shows a boundary-first architecture in Java, covers consent and audit details, and finishes with a 30-day rollout plan and signals that prove the approach works.
- Nov 07, 2025
- 9 min
Dedicated Engineering Teams for Europe: A Predictable Model for Integration, Data & BI
European buyers optimise for predictability, compliance, and fit. Rates matter, but they rarely decide the outcome; steady delivery, clear scope control, and security hygiene do. This article describes a dedicated-team model that holds up under multi-month integration and analytics work: a small pod with ownership, a transparent operating rhythm, measurable delivery health, and privacy controls aligned to EU expectations. You’ll find how we structure roles and governance, which metrics keep stakeholders informed without noise, what compliance artefacts procurement asks for, and a 30-day onboarding plan you can run without halting current initiatives.
- Olga Tsaturian
- Oct 31, 2025
- 10 min