EPI-USE Services for AWS Blog

Why the Most Important Decisions in Tech Aren't Technical

Talicia Bosso — Mon, 29 Jun 2026 14:49:49 GMT

Carlos Diego Cavalcanti has spent over a decade building something most tech leaders talk about but struggle to execute: a company where the people come first, and the results follow.

As CEO and CTO of Valcann — the cloud computing firm he founded in 2014 — and Latin America Cloud Lead for EPI-USE, Diego sits at the intersection of deep technical expertise and genuine human leadership. He holds a Ph.D. in Computer Science. He's a Visiting Fellow from MIT. He teaches at CESAR in Recife.

And the thing he wants to talk about most? Relationships.

He built Valcann without outside investment. On purpose.

In an era where startup success is often measured by funding rounds, Diego made a deliberate choice to grow Valcann independently. No outside investors. No external pressure reshaping the company's direction before it had found its footing.

What that bought him was something harder to put on a pitch deck: the freedom to experiment, to fail small, and to build a culture that wasn't being optimized for someone else's exit timeline.

It's a decision he'd make again — and the reasoning behind it is worth hearing in his own words.

"We make our own champions in-house."

One of Valcann's most distinctive growth strategies has nothing to do with the cloud. It has to do with universities.

Diego has built a talent pipeline by partnering directly with academic institutions — identifying promising people early, developing them within Valcann's culture, and creating what he describes as internal champions. Not just skilled technicians. People who carry the company's values as they grow.

It's an approach that requires patience. It doesn't scale the way a recruiting firm does. But Diego would argue that's precisely the point.

On resilience — and what actually builds it

"Discipline creates the structure that allows you to be resilient when challenges come."

This might be the most practical leadership insight in the entire episode. Diego doesn't frame resilience as a personality trait — something you either have or you don't. He frames it as an output. Something that gets built through the habits and routines leaders establish long before the hard moments arrive.

For anyone leading a team through a migration, a restructure, or just the everyday pressure of keeping a cloud-dependent business running — this reframe is worth sitting with.

The AI piece

The episode doesn't avoid the topic everyone is circling right now. Diego shares his perspective on where AI is heading in professional services, and what it means for the teams he leads and teaches.

His take is neither utopian nor alarmist — which is probably why it's worth hearing. He's thought about this from two angles most commentators only have one of: as a practitioner deploying cloud infrastructure, and as an educator watching how the next generation of technologists is being shaped.

Why this conversation matters for EPI-USE clients and prospects

At EPI-USE Services for AWS, we work with organizations navigating some of the most consequential infrastructure decisions they'll make. The technical side of that — the S.H.I.P. methodology, the W.H.A.L.E. Assessment, the architecture — matters enormously.

But Diego's conversation is a reminder of what makes those engagements actually work: trust, relationships, and the human judgment that no migration checklist can replace.

"\At its core, this episode is a reminder that while technology continues to evolve, business remains fundamentally human.

Listen to the full episode

Diego joined Carly Pepin on Built For This — a podcast for founders, executives, and vision-driven leaders. The episode runs 58 minutes and covers entrepreneurship, leadership, remote work, resilience, strategic partnerships, and the evolving role of AI in professional services.

Carlos Diego Cavalcanti is CEO and CTO of Valcann and leads cloud services for EPI-USE in Latin America. Connect with Diego at valcann.com.br or learn more about EPI-USE Services for AWS at epiusecloud.com

From the Court to the Cloud: How the AWS Publishers Pickleball Tournament Sparked a Real Conversation About Media Monetization

adam.hilger@epiuse.com (Adam Hilger) — Thu, 25 Jun 2026 14:00:00 GMT

Last week, EPI-USE Services for AWS had the privilege of sponsoring the AWS Publishers Pickleball Tournament in New York, bringing together media and publishing executives, AWS sellers, and industry leaders for an afternoon of competition, connection, and candid conversation.

And what kept coming up off the court was telling.

The Challenge Nobody Is Talking About Loudly Enough

Across the room, media and publishing companies on AWS are wrestling with the same operational pressure: payment reconciliation. Subscriber billing cycles, advertising revenue matching, content licensing fees across distribution partners. The volume is high, the complexity is real, and the back-end systems holding it all together were, in many cases, never designed for it.

When you are running at the scale that modern media companies operate, a reconciliation gap is not a nuisance. It is a revenue risk.

Where ERP Pay Comes In

EPI-USE's ERP Pay solution was built for exactly this environment. For media and publishing organizations on AWS, it addresses the reconciliation challenge at its core:

Subscriber payment processing and matching at scale
Advertising revenue reconciliation across platforms and partners
Content monetization tracking across distribution channels
Native integration with ERP environments already running on AWS

The outcome is a faster financial close, cleaner data, and a clear, accelerated path to measurable AWS consumption value.

Why the Timing Is Right

The pickleball tournament was not just a networking event. It was a window into where media publishing leaders are right now: evaluating their AWS environments, looking for workloads that can deliver near-term ROI, and open to conversations about what modernization actually looks like in practice.

ERP Pay fits that moment well. It is structured for rapid proof-of-concept deployment, which means the path from conversation to demonstrated value is short.

Let's Keep the Conversation Going

If you are an AWS seller working with media or publishing accounts, or an executive navigating these reconciliation challenges, we would welcome a 30-minute conversation with one of our cloud experts.

EPI-USE Services for AWS is an AWS Premier Partner and Validated Managed Service Provider, with deep expertise in ERP environments, cloud migration, and complex workload optimization on AWS.

The tournament may be over. The opportunity is just getting started.

Learn more about our ERP Payment Reconciliation solution or schedule a conversation with our team.

About EPI-USE and Group Elephant
Group Elephant employs over 4,200 people across 42 countries, servicing over 2,000 organizations worldwide. Group brand EPI-USE is a recognized leader in designing, building and implementing cloud-based, hybrid and on-premises SAP systems for large, complex enterprises and public sector agencies. EPI-USE applies advanced AI technologies, including Generative and Agentic AI, to help clients automate processes, accelerate decisions and realize superior value from enterprise systems.

How to Operationalize FinOps: The MSP Advantage for Cloud Cost Optimization

Cyril Mathew — Mon, 22 Jun 2026 11:39:32 GMT

As enterprises scale their AWS environments, cloud costs can quickly become unpredictable.

While the cloud delivers agility and innovation, it also introduces a critical challenge: ensuring that spend aligns with measurable business value.

For many organizations, this is no longer just an IT concern, and is instead a boardroom issue with a direct impact on EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) and profitability.

This is where FinOps (Cloud Financial Management) becomes essential. At EPI-USE, we help clients practically embed FinOps into their cloud journey through our Cloud Cost Optimization service, enabling Finance, Engineering, and Business teams to work together to manage, optimize, and forecast cloud spend.

But FinOps as a framework alone isn’t enough. The real advantage comes when it’s delivered through a Managed Service Provider (MSP) model where cost optimization becomes part of daily operations, not another quarterly review exercise.

Why FinOps Is Hard to Scale Internally

Many organizations recognize the importance of cloud optimization but struggle to sustain it over time.

Common challenges include:

Engineering teams prioritizing delivery speed over cost efficiency.
Finance teams seeing invoices, not workloads, limiting visibility.
Siloed accountability with unclear ownership of cloud spend.
Reactive optimization cycles triggered by budget overruns instead of proactive planning.

Without continuous attention, waste accumulates and opportunities to improve margins are lost.

FinOps (Cloud Financial Management):
Manage, Optimize, and Predict

At EPI-USE, we align FinOps with AWS’s Manage, Optimize, Predict model, built around four key pillars: SEE, SAVE, PLAN, and RUN.

This framework provides structure, but its real value emerges through consistent execution.

SEE – Measurement and Accountability
Creating visibility and accountability for spend:

AWS Cost Explorer

AWS Cost and Usage Report (CUR) + QuickSight Integration

AWS Cost Categories and allocation tags

Billing dashboards for real-time insights

SAVE – Cost Optimization
Reducing waste and improving efficiency:

AWS Compute Optimizer

AWS Cost Optimization Hub

AWS Trusted Advisor

Tracking KPIs for cost efficiency

PLAN – Planning and Forecasting
Forecasting spend and aligning budgets:

AWS Migration Evaluator

AWS Pricing Calculator

AWS Budgets and Purchase Analyzer

RUN – Cloud Financial Operations

Operationalizing cost management:

AWS Billing Console

AWS Budgets and Purchase Order Management

AWS Cost Anomaly Detection

Savings Plans and Reserved Instances

These AWS services create a strong foundation, but success depends on how consistently they are applied. That’s where the MSP advantage comes in.

The MSP Advantage: Making FinOps Operational

The real FinOps advantage emerges through the Managed Service Provider model, where cost optimization becomes part of day-to-day operations rather than an occasional review.

As an AWS Managed Service Provider, EPI-USE embeds FinOps practices directly into our clients’ cloud environments:

Continuous rightsizing: Automated monitoring with AWS Compute Optimizer ensures resources always match demand.

Proactive anomaly detection: AWS Cost Anomaly Detection identifies spend spikes before they affect financial results.

Cost allocation and chargeback: We design and enforce tagging strategies, enabling precise showback/chargeback by business unit or product.

Unit economics reporting: We translate technical usage into business KPIs, such as cost per customer or transaction, so leadership teams can see margin impact clearly.

This approach turns cloud financial management into a continuous, outcome-driven discipline rather than a reactive audit.

Managed FinOps in Daily Operations

At EPI-USE, FinOps isn’t treated as a standalone project.

Instead, it’s integrated into every aspect of our managed services:

Runbooks and playbooks embed cost optimization within incident and change management.

CI/CD pipelines include automated cost checks before deployment.

Policy-as-Code guardrails prevent oversized or idle deployments.

Service reviews include financial KPIs alongside SLAs and performance metrics.

The result is FinOps that’s measurable, repeatable, and aligned with both IT and business objectives.

EPI-USE Cloud Cost Optimization in Action

Our Cloud Cost Optimization service brings FinOps to life in measurable ways.

This is how we provide transparency, savings, and simplicity for clients.

24/7 Cost Monitoring: Continuous monitoring across accounts and environments keeps costs under control.

Reporting Cadence: Business-ready reports delivered monthly and quarterly distil AWS billing into actionable insights, highlighting anomalies, trends, and recommendations for optimization.

Business-Centric Language: Costs are explained in terms CFOs and executives understand, such as cost per transaction, per customer, or per workload, bridging the gap between technical data and business value.

Certified Expertise: Our team includes FinOps-certified professionals who apply global best practices to cost allocation, forecasting, and optimization, ensuring guidance is both industry-aligned and AWS-informed.

Rightsizing and Rate Optimizations: Expert recommendations minimize waste while maintaining performance.

Flexible Engagements: Available as a standalone month-to-month service, or as part of a broader managed or migration engagement.

“Cloud Cost Optimization Service from EPI-USE has saved us a considerable amount of time, costs, and hassle. They have given us excellent advice and guidance. We particularly like the user-friendly reports so we can see our AWS usage at a glance and stay on top of our expenditure.”

— Robin Szabo, CEO, Szabo Associates

By combining FinOps discipline with Cloud Cost Optimization, we ensure clients gain both cost savings and the clarity needed to make informed financial decisions.

What the C-Suite Gains from MSP-Driven FinOps

For leadership teams, the MSP advantage is measured in outcomes.

This extends beyond lower bills to stronger governance, predictability, and profitability:

Lower Unit Costs: Continuous rightsizing and commitment management drive down unit costs as AWS usage grows.

Predictable Spend: Forecasts and budgets align closely with actuals, supported by consistent reporting cadences.

EBITDA Protection: Optimization directly strengthens margins, reinforcing the ROI of digital initiatives.

Improved Governance: Guardrails and anomaly detection prevent misconfigurations and spend overruns.

Business Agility: Engineers innovate with confidence due to ongoing optimization, while Finance has clear, business-ready reporting for decision-making.

In short, EPI-USE gives the C-suite peace of mind that the cloud is being run efficiently, aligned to strategy, and continuously optimized.

FinOps in Action: Delivered through EPI-USE Cloud Cost Optimization

While many organizations adopt FinOps as a framework, EPI-USE delivers it as a managed discipline through Cloud Cost Optimization.

This includes:

Outcome-driven reporting tailored for executives.
FinOps-certified specialists integrated into managed service delivery.
Automated tooling connected with AWS billing and financial systems.
Cross-functional collaboration between Finance, IT, and Business stakeholders.

This transforms FinOps from a periodic review into a daily discipline that protects profitability and accelerates growth.

The EPI-USE Advantage: Making Cloud Spend Easy

Cloud cost optimization is no longer optional.

The difference between unmanaged spend and disciplined FinOps practices can be measured in EBITDA margins, governance strength, and competitive agility.

At EPI-USE, we go further than providing advice on FinOps and operationalize it through our Cloud Cost Optimization service. By embedding rightsizing, anomaly detection, chargeback models, and business-centric reporting into daily operations, we help clients achieve AWS environments that are efficient, predictable, and outcome-driven.

That’s the MSP advantage, and that’s how EPI-USE turns your organization’s cloud financial management into a strategic enabler of growth.

If you’d like to explore what Cloud Cost Optimization could look
like in your AWS environment, reach out to the EPI-USE team to start the conversation
— proactively, transparently, and without lock-in.

Request a Complimentary Consultation

About EPI-USE and Group Elephant
Group Elephant employs over 4,200 people across 42 countries, servicing over 2,000 organizations worldwide. Group brand EPI-USE is a recognized leader in designing, building and implementing cloud-based, hybrid and on-premises SAP systems for large, complex enterprises and public sector agencies. EPI-USE applies advanced AI technologies, including Generative and Agentic AI, to help clients automate processes, accelerate decisions and realize superior value from enterprise systems.

5 Signs Your SaaS Infrastructure Is Limiting Your Growth Path

Talicia Bosso — Mon, 11 May 2026 12:00:00 GMT

Most SaaS teams don't typically think of infrastructure as the problem.

They look at missed deadlines, rising costs, or performance complaints and assume it's a product issue, a resourcing gap, or the cost of scaling. But in many cases, those symptoms are signaling something structural: the infrastructure underneath the product is not set up for the product's rapid growth potential.

The signs rarely appear at once. They build gradually, showing up as friction in releases, scaling, cost visibility, and reliability. By the time the pattern becomes obvious, it has already started limiting what the product can become.

Gartner forecasts public cloud services will grow 21.3% in 2026, fueled by continued migration and accelerating demand for AI integration. McKinsey's 2025 Technology Trends Outlook confirms that enterprise cloud adoption continues to accelerate while traditional spending on on-premises systems steadily declines. For SaaS companies, migration to the cloud is increasingly a strategic move to start operating efficiently, scale quickly, and unlock a growth path that on-premises infrastructure simply cannot support.

When Infrastructure Becomes a Growth Constraint

There comes a point in many SaaS companies where growth stops being a product challenge and becomes an infrastructure challenge.

What worked when you had a smaller client base starts to buckle under pressure:

Systems designed for predictability struggle with variability
Fixed capacity models collide with unpredictable demand
The overhead and time it takes to maintain on-premises environments grows faster than revenue
Teams quickly run up against the limits of what their servers can support — and need more "horsepower" than physical infrastructure can deliver

That gap quickly becomes a reality, directly affecting how your teams operate.

5 Signs Your SaaS Infrastructure Has Reached Its Limits

1. New Product Releases Are Getting Slower

In a healthy SaaS environment, new product releases are routine. They're a core part of the delivery rhythm. But when infrastructure starts limiting growth, something shifts: releases become slower, more laborious, and increasingly dependent on manual coordination.

That slowdown has a compounding effect:

New features take longer to reach clients
Innovation gets gated by operational overhead on your IT team
Engineers spend time managing deployment complexity rather than writing code

This is not a process problem. It is an architectural one. On-premises infrastructure was not designed for the continuous delivery cadence that modern SaaS demands. When the underlying environment can't support rapid, repeatable deployments, your release velocity pays the price.

2. On-Premises Costs Are Capping Your Growth Potential

One of the clearest signs that your infrastructure is limiting growth is financial — but not in the way most teams expect.

On-premises infrastructure is characterized by fixed costs: a set monthly fee for a fixed set of equipment, servers, and capacity. That predictability feels stable, but it comes with a ceiling. You can only grow as far as your current servers allow. To grow beyond that, you need to buy more equipment — and that process is costly, time-consuming, and often misaligned with the pace of client demand.

The result is an infrastructure model that charges you for the maximum capacity you might need, whether or not you're using it. Research from AWS and its partners shows that 84% of organizations are paying for substantially more resources than their workloads actually need, and that rightsizing through cloud migration can reduce infrastructure costs by 36% on average. IDC estimates that organizations migrating to AWS see 51% lower cost of operations compared to running on-premises infrastructure.

Migration to the cloud replaces that fixed-cost ceiling with a flexible, consumption-based model. You pay for what you use, scale when you need to, and stop carrying the cost of resources that aren't working for you.

3. Scaling Creates Pressure Instead of Leverage

Scaling should be a sign of success. More clients, more usage, more revenue. But if every new client introduces risk — performance concerns, provisioning delays, capacity planning conversations — then your infrastructure is not keeping pace with your product.

This is the fundamental limitation of on-premises infrastructure for growing SaaS companies. Adding a new database server or web server requires sourcing hardware, coordinating procurement, and waiting. There is no immediate option. Growth is constrained by physical resources, and the team absorbs that pressure through longer lead times and manual workarounds.

AWS for SaaS companies enables true SaaS infrastructure scalability, allowing compute and storage to scale dynamically with demand as you grow. New servers can be provisioned instantly. Capacity adjusts in real time. The operational burden of planning for peak demand is replaced by infrastructure that responds to it automatically — removing the need for constant manual intervention from your IT team.

According to McKinsey, nearly 75% of organizations migrate workloads to the cloud specifically to improve agility, automation, and scalability . That shift is not incidental. It reflects a fundamental recognition that fixed infrastructure and fast-growing SaaS businesses are structurally incompatible.

4. Security and Compliance Are Always Reactive

If audits trigger a scramble, and compliance is something you prepare for rather than operate within, that is a clear sign your infrastructure is working against you.

For SaaS companies serving enterprise clients in regulated industries — financial services, aviation, healthcare — this is not a minor inconvenience. It is a business risk. The compliance requirements those clients impose are non-negotiable, and the ability to respond quickly and completely to a security audit is often a condition of the commercial relationship itself.

The reality for many teams on legacy infrastructure is that audit preparation takes weeks. Staff scramble to locate documentation that was never systematically organized. Cloud-specific technical questions go unanswered because no one internally has visibility into the infrastructure layer at the required depth. The audit becomes a fire drill rather than a routine validation.

SaaS companies that have migrated to the cloud have security built in by design from the start — not bolted on when an audit is approaching. AWS supports 143 security standards and compliance certifications globally, including PCI-DSS, HIPAA/HITECH, FedRAMP, GDPR, and NIST 800-171. Continuous monitoring tools like AWS Security Hub, GuardDuty, and Config maintain a real-time compliance baseline, generating audit evidence automatically rather than requiring it to be assembled under pressure. When an audit arrives, cloud-specific documentation can be handed off to a managed services partner rather than reconstructed from scratch internally.

5. Reliability Depends on Fixing Problems, Not Preventing Them

If your team finds out about server issues through end-user complaints or application timeouts — rather than through proactive alerts — your infrastructure is operating in a reactive mode that puts your product and your client relationships at risk.

Legacy on-premises environments tend to rely on:

Manual monitoring through direct server logins
Issue detection through end-user complaints
Single points of failure with limited redundancy
Hardware-dependent uptime with no automated failover

The operational cost of this model is significant. Every outage that reaches a client is a trust event, not just a technical one. And for SaaS companies with enterprise clients who have contractual uptime expectations, a reactive reliability posture is a commercial liability.

Modern cloud environments are built differently. Proactive monitoring, automated alerting, availability zones, and built-in redundancy shift the model from reacting to failure to engineering around it. AWS operates across 117 Availability Zones in 37 geographic regions, delivering high availability by design rather than by effort. The difference is not just technical — it is the difference between a team that is constantly firefighting and one that is free to build.

What This Looks Like in Practice

One EPI-USE client, a creative SaaS technology firm serving large enterprises, had reached the point where its infrastructure was actively limiting its growth path. Server problems surfaced through end-user complaints. Audit preparation consumed weeks of internal effort. Adding capacity required hardware conversations that took longer than the client requirements driving them. Engineers were absorbing time stabilizing infrastructure rather than building software.

After migrating to a cloud-native architecture on AWS with EPI-USE managing the environment, the results were measurable. Monthly AWS spend dropped significantly. Audit preparation time fell from weeks to days, with cloud-specific documentation handled entirely by the managed services partner. The engineering capacity previously absorbed by infrastructure management was redirected entirely to product development and modernization. And since the transition, the organization has recorded zero unplanned outages.

Your Product Is Not the Problem

Individually, the signs discussed in this article are manageable. Together, they point to something structural: a misalignment between your product's growth potential and the infrastructure supporting it.

That misalignment compounds over time:

New product releases slow down
Operating costs rise without a proportional increase in capability
Growth creates pressure on your IT team rather than momentum for the business
Compliance becomes a recurring fire drill rather than a built-in capability

At a certain point, incremental fixes stop working. The foundation itself needs to change. And in most cases, migration to the cloud is the most effective way to remove these constraints and unlock the growth path your product is ready for.

What Changes When You Fix the Foundation

Once infrastructure is no longer the bottleneck, the impact is immediate and measurable.

Organizations migrating to AWS consistently realize significant cost efficiencies — IDC estimates 51% lower cost of operations, while an ESG Economic Validation study found 66% lower three-year total cost of infrastructure operations. Beyond cost, teams that migrate to cloud-native architectures report faster release cycles, lower operational overhead, improved resilience, and more predictable cost structures.

McKinsey research projects $3 trillion in cloud value for Forbes Global 2000 companies by 2030, with the majority of that value coming from business innovation and operational improvements rather than IT cost savings alone. This is empirical evidence that migration to the cloud for SaaS companies goes beyond operational efficiency — it is a concrete growth enabler.

Your Next Move

If any of these signs are recognizable, the question is not whether to act — it is where to start.

Understanding where you stand today, where the inefficiencies and risks exist, and what a more scalable environment would look like for your specific product is the first step. A complimentary W.H.A.L.E. Assessment gives you a clear, data-backed view of your current cloud environment and what it is actually costing you.

Request Your W.H.A.L.E. Assessment

You can also explore how a structured approach to cloud migration for SaaS companies removes these constraints and enables sustainable growth.

View our Cloud Migration Solutions. Start with clarity. Migrate with confidence.

EPI-USE named one of Georgia's Top 40 Most Innovative Companies by the Technology Association of Georgia

Talicia Bosso — Tue, 21 Apr 2026 14:49:57 GMT

ATLANTA, GA, April 21, 2026 | EPI-USE, a Group Elephant business and global leader in deploying and managing AWS technology and SAP systems, today announced its selection as one of the Technology Association of Georgia's 2026 Top 40 Most Innovative Companies in Georgia.

At the center of this recognition is the W.H.A.L.E. Assessment, a proprietary cloud migration methodology developed by EPI-USE and the only assessment of its kind available directly through AWS Marketplace. W.H.A.L.E., which stands for ‘Workload Holistic Assessment Licensing Evaluation’, has a proven track record to counteract a persistent and costly problem in cloud adoption, viz. organizations that migrate without systematic pre-migration analysis routinely waste 20 to 30 percent of their AWS spend.

In as little as two weeks, W.H.A.L.E. delivers a comprehensive Workload and Licensing Map, Optimization Opportunities Report, Risk and Readiness Analysis, and an actionable Migration Roadmap grounded in actual utilization data. It is fully funded by AWS, making it a zero-barrier entry point for organizations of any size.

The results have been stellar. A public sector education client achieved a 90 percent reduction in SQL Enterprise cores and a 64 percent reduction in annual costs. A global manufacturing client realized over 15 percent in additional savings through rightsizing alone.

"The W.H.A.L.E. Assessment provides the clarity to make sound cloud decisions and the results we have delivered to date for clients across Georgia and nationwide demonstrate what is possible when that analysis is done well", said Chris Townsend, Senior Director at EPI-USE Services for AWS.

EPI-USE representatives will be present at the Georgia Technology Summit on April 30, 2026, at Cobb Galleria Centre in Atlanta. Summit participants are cordially invited to visit the EPI-USE table to learn more.

For more information, visit www.epiuse.com/aws-services

About EPI-USE and Group Elephant
Group Elephant employs over 4,200 people across 42 countries, servicing over 2,000 organizations worldwide. Group brand EPI-USE is a recognized leader in designing, building, and implementing cloud-based, hybrid and on-premises SAP systems for large, complex enterprises and public sector agencies. EPI-USE applies advanced AI technologies including Generative and Agentic AI, to help clients automate processes, accelerate decisions, and realize value from their enterprise systems.

Media Contact:
Talicia Bosso
EPI-USE Services for AWS

How to Optimize Cloud Costs on AWS: A Practical Guide to Visibility, Monitoring, and Savings

Cyril Mathew — Thu, 16 Apr 2026 14:08:28 GMT

Cloud migration is undoubtedly a milestone, and it’s also where the best opportunities emerge for organizations that have taken the plunge.

Once workloads land on AWS, the organizations that thrive long-term are the ones that treat cost as an ongoing practice: making usage visible, monitoring it continuously, and acting on optimizations with intention.

This is the focus of Cloud Cost Optimization (CCO): helping teams translate AWS’s flexible, pay-as-you-go model into predictable spending, better efficiency, and confident decision-making, all without burdening developers or finance leaders.

What CCO Is and Who We Serve

CCO is a people-driven, AWS-funded service
It gives EPI-USE clients a dedicated FinOps capability at no extra charge. Because it’s funded through the AWS Solution Provider Program, clients pay the same AWS rates they would if they went direct: no markups, no hidden fees, and no lock-in.

The model is simple:

A FinOps team handles cost visibility, monitoring, and optimization.
Transparent reporting mirrors AWS invoices while making them easier to interpret.
Flexible engagement (month-to-month) and straightforward onboarding/off-boarding.

CCO serves a wide range of AWS users at different stages of maturity:

New to AWS after migration: Teams new to AWS billing, pricing models, and cost terminology who need a clear, confidence-building foundation.
Growing AWS users with rising bills: Organizations that have been on AWS for a while but are now facing cost creep, unclear spend drivers, or stalled optimization efforts.
Mature teams that prefer to outsource FinOps: Product or engineering groups that want a trusted partner to run FinOps operations so their teams can stay focused on innovation.

Based on internal program data, client reception has been very strong: roughly 95% of eligible clients adopt CCO, recommended commitment plans run at about 99% utilization accuracy, and there’s been near-zero churn over the past few years.

The Three Pillars of Effective Cost Management

The best CCO teams organize the work into three practical pillars.

Each pillar is valuable on its own; together, they form a continuous cycle that builds clarity and savings over time.

1) Visibility: Demystifying AWS Billing

AWS invoices are precise, but not built for executive clarity.

CCO turns raw billing data into advanced cost-intelligence dashboards and concise monthly or quarterly reports, all powered by AWS’s native billing stack (Cost Explorer, CUR via Athena/Glue, and QuickSight for visualization).

Our FinOps team understands AWS billing end-to-end — from usage types and pricing dimensions to amortization and effective rates — and translates that complexity into plain, business-relevant language for both leadership and engineering.

In regular cadence reviews, discussions focus on what changed and why, where spend is concentrated, and which optimizations will have the biggest impact.

This shared, data-driven visibility clarifies spend drivers, aligns CTOs, finance, and engineering, and accelerates decisions tied directly to business value.

Proper tagging further enables showback and chargeback, breaking down costs by team, product, or customer to strengthen accountability and planning.

2) Monitoring and Alerting: Granular, Real-Time, and Actionable

Because AWS costs scale with usage, it pays to know what’s changing right now.

As your FinOps partner, CCO runs AWS Budgets and Cost Anomaly Detection on your behalf, piping every alert into our internal ticketing workflow.

From there, our team handles triage, deduplication, and enrichment, ensuring you’re not buried in raw alerts. Therefore, you can expect to receive only high-severity, actionable notifications, each packaged with:

Impact: clear cost delta ($) and trend direction
Workload context: tags, cost categories, accounts/OUs, and environments
Our observations: likely driver(s), validation checks, and next-step recommendations

The CCO team also performs root-cause analysis before escalation, and if the client uses Managed Services, findings can be acted on immediately by the DevOps team.

Clients stay focused on outcomes, while we ensure no material cost outlier goes unnoticed. Budgets aren’t “set and forget”; they’re re-tuned as usage patterns evolve.

3) Optimization: Full-Stack FinOps, Not Just Discounts

Optimization encompasses more than compute or rate plans: it’s a cross-workload discipline.

CCO drives both usage optimization (reducing waste, right-sizing, and designing for efficiency) and rate optimization (improving your effective $/unit through Savings Plans, RIs, and negotiated pricing) across the entire AWS estate.

We tune workloads across compute, storage and backups, networking and data transfer, observability, and security services, with one goal: lower unit costs and stabilize run-rate by pairing efficiency with better rates.

Our FinOps workflow follows a clear top-down approach:

Eliminate waste — remove idle or unknown resources, orphaned storage, zombie environments, and redundant data paths for fast, low-risk savings.
Optimize usage — right-size compute and DBs, apply lifecycle policies for S3/EBS, tune autoscaling, clean up logging and metrics (CloudTrail hygiene, logs filtering, alert quality).
Commit confidently — only once the baseline is stable, lock in steady-state savings via Savings Plans/RIs, balancing coverage, flexibility, and utilization.

Across all layers, from storage and backup discipline to network governance and observability, CCO embeds cost awareness into daily operations, translating spend into business-relevant metrics and real-time visibility.

The result: predictable costs, improved price-performance, and FinOps as a continuous business practice, not a one-off exercise.

CCO vs. SaaS tools: Scope and Outcomes

SaaS FinOps tools can be helpful, but they typically focus on narrow tasks (for example, managing commitments) and still require internal staff to configure, interpret, and follow up.

CCO is intentionally holistic and AWS-native: it draws from the same underlying billing data and best practices while pairing that with a human FinOps team that handles configuration, monitoring, analysis, and follow-through.

In some cases, this means clients can avoid an additional SaaS license altogether; in others, CCO can integrate with a client’s chosen tool and extend it with hands-on expertise.

Bridging the Cloud Cost Gap: What Clients Value Most

While the cloud brings agility, many organizations struggle to turn that flexibility into financial accountability and predictable spend. CCO bridges that gap by addressing key pain points:

Limited visibility into cost dynamics: translating complex AWS billing data into clear, business-ready insights for both finance and engineering.
Siloed accountability: aligning technical and financial stakeholders through unified reporting, showbacks, and anomaly detection.
CapEx mindsets in an OpEx world: shifting from static budgets to continuous, value-driven cost management.
Hidden cost drivers: surfacing granular usage patterns and optimization opportunities.

By pairing data transparency with human expertise, CCO acts as the translator between engineers and CFOs, making sure that every optimization recommendation connects technical efficiency with measurable business impact.

This results in clear insight, collaborative decision-making, and cost control without compromise, all delivered at no additional cost to EPI-USE AWS clients.

“EPI-USE’s Cloud Cost Optimization has revolutionized our operations, significantly enhancing our cost management and operational efficiency. Their support team’s response time is exceptional, often addressing issues proactively. Monthly cost analysis reports provide invaluable insights, while timely AWS savings plan recommendations help us optimize costs further. We’re thoroughly satisfied with the comprehensive service they provide.”

— Greg Wright, CEO, VantagePoint

Why CCO is Strongest with Managed Services

CCO pairs naturally with Managed Services.

When paired with our Managed Services solution, CCO becomes a fully managed financial and operational discipline.

Through this integrated delivery model, EPI-USE’s FinOps professionals, experts in AWS billing, pricing models, and cost levers, work hand-in-hand with our Managed Services engineers, who specialize in AWS Cloud and DevOps operations.

Together, they ensure that cost management isn’t an occasional activity but an embedded, daily operational practice. Cost visibility, monitoring, and optimization are executed continuously, with every change in the environment tied back to financial accountability.

The result is sustained cost efficiency, stronger governance, and maximum value realization from your AWS investment, all while freeing your teams to concentrate on innovation rather than administration.

A Simple Mental Model for Leaders

If you’re thinking about AWS cost maturity, a helpful way to visualize the journey is:

See it (visibility): clear reports and shared understanding.
Watch it (monitoring): real-time alerts with accountable follow-up.
Improve it (optimization): remove waste, right-size, then commit.
Repeat (govern): keep the loop going as architectures and teams evolve.

Each pass through the loop reduces uncertainty and brings spend closer to business intent.

Looking Ahead: The Path to “3.0”

"True optimization goes beyond simply maintaining low cost baselines; it is about unlocking the full economic value of the cloud by aligning consumption with business objectives, and ensuring resources are utilized in the most cost-efficient and strategically deliberate way possible."

— Rose Maria Pius, Senior Cloud Finance Analyst, EPI-USE

With Managed Services and CCO working together, organizations are preparing for the next step: AI-assisted insights and automation that learn from patterns and help environments self-optimize over time. Building strong visibility, monitoring, and optimization habits now lays the groundwork for that future.

Bottom line

AWS’s flexibility is a major advantage, and with the right operating model, it becomes a financial advantage too.

By combining visibility, monitoring, and optimization, and backing those with a dedicated FinOps team, transparent billing, and month-to-month flexibility, CCO helps organizations keep spend aligned with priorities while freeing engineers to focus on what moves the business.

Get the Most Out of Your Cloud Spend

If you’d like to see what CCO would look like for your AWS landscape — dashboards, monitoring approach, and optimization workflow — we offer a no-cost consultation.

This ensures you can onboard Cloud Cost Optimization with clarity and confidence from the very beginning.

We’ll walk you through the visibility, the alerts, and the steps we’d prioritize first, and you can decide how you’d like to proceed.

Proactively, transparently, and without lock-in.

Request a Complimentary Consultation,..

EPI-USE Renews Validation as an AWS Managed Service Provider Partner

Carel Bekker — Wed, 08 Apr 2026 11:00:00 GMT

ATLANTA, April 8, 2026 — EPI-USE, a Group Elephant business with worldwide coverage, specializing in deployment and managed services for SAP systems and AWS technology, announced today that it has renewed its validation as an Amazon Web Services (AWS) Managed Service Provider (MSP) Partner in the AWS Partner Network (APN).

The AWS MSP Partner validation recognizes AWS Partners that have demonstrated technical expertise, operational excellence, and a proven track record of delivering managed cloud services to clients. By renewing this validation, EPI-USE reaffirms its commitment to helping clients optimize their cloud operations and run mission-critical enterprise workloads on AWS with confidence.

EPI-USE delivers managed services across a broad range of industry verticals and client segments, including manufacturing, financial services, healthcare, retail, software, and the public sector, supporting SAP and other enterprise vendors’ technology as well as modern cloud-native applications.

Enterprises benefit from EPI-USE’s AWS managed services capabilities, which include:

Round-the-clock managed operations, delivered using ITIL-aligned service management and AIOps-driven monitoring and incident response for mission-critical AWS environments;
Proactive FinOps practices driving significant cost reduction;
Security and compliance aligned with SOC 2, HIPAA, and PCI-DSS frameworks through continuous security monitoring and audit-ready practices;
Automation-driven operations, AIOps, and DevOps best practices enabling standardized, repeatable, and low-risk cloud operations at scale;
Deep expertise in complex SAP workloads on AWS, ensuring performance, stability, and reliable operation of enterprise-critical applications; and
Access to AWS funding programs and AWS Technical Account Manager engagement, coordinated as part of MSP-led delivery.

"Renewing our AWS MSP Partner validation reflects our continued investment in cloud expertise,” said Cyril Mathew, EPI-USE. “Enterprises expect resilience and value-for-money from their cloud environments, and this status illustrates our capability to provide exactly that. Working within the AWS Partner Network gives us access to the tools and collaboration needed to help our clients build, deploy, and manage workloads on AWS with confidence.”

The AWS MSP Partner validation is part of the AWS Partner Network, a global community of AWS Partners that leverages programs and expertise to build, market, and sell client offerings. AWS Partners work with AWS to help clients build, deploy, and manage workloads on AWS. For more information, please visit: epiusecloud.com.

About EPI-USE and Group Elephant

Group Elephant employs over 4,200 people across 42 countries, servicing over 2,000 organizations worldwide. Group brand EPI-USE is a recognized leader in designing, building and implementing cloud-based, hybrid and on-premises SAP systems for large, complex enterprises and public sector agencies. EPI-USE applies advanced AI technologies, including Generative and Agentic AI, to help clients automate processes and realize value from enterprise systems.

Learn more at: epiusecloud.com

Why the Cloud Managed Services Model Is Being Redefined

Cyril Mathew — Mon, 16 Mar 2026 15:48:48 GMT

Cloud adoption was supposed to simplify IT.
Instead, many organizations now find themselves managing sprawling environments, rising costs, increasing security pressure, and a growing dependence on scarce cloud skills.

For IT leaders, this has shifted the conversation. The question is no longer whether to use a Managed Service Provider (MSP), but what kind of MSP is fit for today’s cloud reality.

The Limits of the Traditional MSP Model

Traditional MSPs were designed for a different era, one dominated by static infrastructure, predictable workloads, and centralized operations teams.

That model typically focuses on:

Keeping systems running
Managing infrastructure tickets
Measuring success through uptime and response times

While this approach still has value, it falls short in cloud environments where:

Architectures are distributed and constantly changing
Costs scale dynamically with usage
Security and compliance must be continuous
Speed and innovation are business imperatives

In short, operating the cloud is no longer enough. Organizations need partners who can help them design, optimize, and continuously evolve their cloud platforms.

Enter the Next-Generation Cloud MSP

Next-generation MSPs represent a fundamental shift — from reactive operations to proactive, outcome-driven cloud management.

Rather than focusing solely on “run,” modern cloud MSPs operate across the full lifecycle:

Design & architecture, not just maintenance
Automation-first operations, powered by infrastructure as code and CI/CD
Intelligent monitoring, using anomaly detection, machine learning, and AI-assisted insights
Security by design, embedded into every layer of the platform

This model blends automation with human expertise. Intelligent systems handle continuous monitoring and routine remediation, while experienced architects and engineers focus on strategic guidance, optimization, and business alignment.

The result is a service model built for scale, speed, and resilience, not just stability.

Why AWS Validated MSP Status Is a Critical Differentiator

Not all MSPs are created equal, and not all AWS partners deliver the same level of maturity.

An AWS Validated Managed Service Provider has undergone a rigorous, independent audit to prove enterprise-grade capability across:

Governance and operational processes
Security and compliance controls
Financial management and optimization
Service delivery consistency at scale

This validation is not a marketing badge. It is AWS confirming that a partner can operate mission-critical cloud environments to exacting standards.

For CXOs, this matters because it reduces risk:

Lower operational and security exposure
Proven delivery models, not experimental approaches
Confidence that best practices are applied consistently, not selectively

Only a small fraction of AWS partners globally meet this bar, which makes AWS MSP validation a meaningful signal of trust and maturity.

From Outsourcing Vendor to Strategic Cloud Partner

The most important shift in the MSP landscape is not technical, it’s relational.

Next-generation MSPs move beyond transactional support models to become long-term strategic partners. That means:

Aligning cloud operations to business objectives
Translating technical decisions into financial and risk outcomes
Supporting innovation while maintaining governance and cost discipline

Instead of asking, “Is the environment up?”, leadership teams can ask:

Are we operating efficiently?
Are we controlling risk?
Are we getting measurable business value from the cloud?

How EPI-USE Delivers Next-Generation AWS Managed Services

EPI-USE is an AWS Validated MSP built around this next-generation model.

Our managed services are designed to support complex, enterprise environments across SAP, modern applications, data platforms, and cloud-native services with a strong emphasis on automation, optimization, and operational excellence.

What differentiates our approach:

Lifecycle ownership across design, build, run, and optimize
Automation-led operations, reducing manual effort and human error
Outcome-focused SLAs, aligned to solutions and applications, not just infrastructure
Continuous optimization, including cost, performance, and security posture
Advisory-led engagement, helping clients make informed cloud decisions

We don’t position ourselves as an outsourced operations team. We operate as an extension of our clients’ leadership, bringing structure, insight, and predictability to cloud operations.

What the C-Suite Ultimately Gains

For executive leadership, a next-generation AWS MSP delivers outcomes that go well beyond operational support:

Predictability in cost, performance, and risk
Governance at scale, without slowing innovation
Operational confidence, backed by AWS-validated processes
Business agility, enabled by automation and expert oversight

Most importantly, it provides peace of mind that the cloud is not just running, it is being actively optimized and aligned to strategy.

Rethinking the MSP Relationship

The cloud has changed how technology supports the business.
It’s time the MSP model changed with it.

Organizations that continue to rely on traditional MSP approaches risk falling behind, weighed down by inefficiency, rising costs, and operational friction.

Those that partner with AWS Validated, next-generation MSPs gain a strategic advantage: a cloud environment that is resilient, optimized, and built to evolve.

That is the standard EPI-USE delivers and the future of managed services in the cloud era.

Agentic AI Explained: How to Get Started and Scale Safely in the Cloud

Talicia Bosso — Mon, 16 Feb 2026 13:30:00 GMT

We are seeing the dawn of a new era where Artificial Intelligence (AI) is concerned, and it’s one that encompasses autonomy, adaptability, and agency.

We have now reached the next phase, known as agentic AI, and it’s fast becoming one of the most talked-about evolutions in technology today.

For business and IT leaders, the first question might be, “What is agentic AI?” The next is usually, “How can we use it to work smarter, scale faster, and innovate more sustainably?

To do that, you need both a clear understanding of what this approach means and the right cloud foundation to scale it practically.

What Is Agentic AI?

Agentic AI refers to AI systems that can freely use their own initiative.

This entails perceiving data, reasoning about context, making decisions, and taking action with limited to no human involvement. This is a step beyond traditional or generative AI, which relies heavily on human prompts because agentic systems are proactive. It doesn’t just respond: it initiates.

You can look at these systems as AI agents that are able to manage ongoing tasks: from monitoring systems and analyzing information to adapting to changes and collaborating with other agents or humans to reach an outcome.

Amazon Web Services (AWS) describes this shift as a move from “automation to agency.”

Instead of software following rigid, static scripts, agentic systems can plan, reason, and adapt within given boundaries. This gives businesses the capability to automate sophisticated workflows, augment decision-making, and react to real-time conditions, all while maintaining oversight and governance.

The key difference lies in context:

Traditional AI follows static rules.
Generative AI creates content or insights based on prompts.
Agentic AI takes those insights and acts on them intelligently.

How to Get Started with Agentic AI

Adopting these agents starts small for many organizations, with initial projects focused on specific workflows that benefit from self-reliance.

Here’s a practical way to begin:

1. Define the business goal:
Home in on one or two areas where AI-driven autonomy could yield quantifiable value. Examples include operational efficiency, predictive maintenance, or intelligent reporting.

2. Assess your readiness:
You’ll need modern data pipelines, secure APIs, and access to a reliable AWS-native infrastructure. Agentic systems rely on fast, accurate, and connected data sources to make decisions.

3. Build on the right platform:
AWS provides several ways to begin, from Amazon Bedrock Agents to AWS’s managed services designed for orchestration, monitoring, and scaling. AI agent workflows can then be designed by developers and teams without them having to start from scratch.

4. Start small and iterate:
Launch a proof-of-concept for a single process, measure its performance, and expand gradually. AI agents work best when they grow organically alongside your operations.

5. Set governance from day one:
Retain human oversight and ethical controls. Establish guardrails that define what agents can and can’t do, and make sure every action is auditable. Doing this builds a foundation for long-term success, where cloud operations automation and agentic workflows work harmoniously.

Why the Cloud Is Required to Scale Agentic AI

These models don’t prosper on static systems.

It depends on scalable compute, dynamic storage, and real-time access to data, which are all strengths inherent to the cloud.

Scalability and Performance

Each AI agent can run multiple tasks, analyze data, and communicate with other agents.

That necessitates infrastructure that can flex up or down instantly. The elasticity to handle that computational demand without interruption is provided by cloud platforms like AWS.

Integration and Collaboration

Agentic models thrive when connected.

In a cloud environment, agents can integrate across services, linking analytics, databases, IoT feeds, and business applications with ease and flow. This enables enterprises to build AI ecosystems where agents can communicate and learn from one another.

Security and Governance

Built-in controls that simplify security, compliance, and monitoring are offered by AWS managed services.

As AI systems become more autonomous, visibility and governance become integral, and the cloud provides this oversight at every layer.

Innovation at Scale

Perhaps most importantly, cloud platforms provide access to pre-trained models, data services, and orchestration tools that boost innovation.

That’s why every serious implementation of agentic systems today, from multi-agent workflows to enterprise automation, runs in the cloud.

For a large portion of organizations, the journey to agentic AI begins with enterprise cloud modernization. It’s the only way (and the best way) to achieve the agility, reliability, and scalability that autonomous systems demand.

Key Considerations for Success

Agentic models are powerful, but their efficacy is overwhelmingly built on preparation.

Here are a few lessons we’ve seen across organizations exploring it on AWS:

1. Get your data house in order:
Clean, connected data is the lifeblood of AI agents. Build strong pipelines and APIs, and do it early.

2. Automate with purpose:
Don’t automate for the sake of novelty. Focus on actual outcomes like faster onboarding, improved decision quality, or reduced manual intervention.

3. Human + Machine collaboration:
Agentic AI should enhance human expertise, not replace it. Keep people in the loop to interpret, validate, and adjust agent outputs.

4. Work with the right partner:

Implementing agentic systems goes further than the right technology; it’s about orchestration. A trusted cloud managed services partner can help align cloud architecture, automation, and governance from the very beginning.

Agentic systems symbolize a natural evolution in how we use technology where task automation and intelligent collaboration are concerned.

It gives systems the ability to operate with context, intent, and adaptability, changing how businesses go about developing efficiency and innovation.

But scaling agentic AI isn’t possible on legacy infrastructure.

It requires the flexibility, performance, and security of the cloud, the foundation on which intelligent autonomy can grow and thrive.

The Future of AI Is Agentic and It Lives in the Cloud

At EPI-USE, we help organizations modernize their environments and operationalize AI on AWS.

As a global cloud managed services partner, we bring together automation, governance, and AWS expertise to help clients harness the potential of AI agents with confidence and scale.

Ready to explore agentic models on AWS the right way?

Get in touch with us today and discover why our clients stay.

Why Cloud Migration Doesn’t Automatically Mean Cost Savings

Talicia Bosso — Mon, 26 Jan 2026 18:58:34 GMT

Insights from EPI-USE expert Chris Townsend on the Jon Myer Podcast.

Cloud migration continues to be a central strategy for enterprises aiming to modernize infrastructure and improve agility. Yet, as Chris Townsend, Senior Director at EPI-USE Services for AWS, explained on the Jon Myer Podcast, migration by itself does not guarantee cost savings or operational efficiency. What separates success from stagnation is a disciplined approach anchored in readiness, optimization, and governance.

In this episode recorded during AWS re:Invent 2025, Townsend challenges the common assumption that enterprises automatically reduce costs simply by shifting workloads to AWS. Instead, he emphasizes that true value realization starts long before workloads hit the cloud, with strategic assessment and optimization that align business goals with technical execution.

The Cloud Cost Myth: Migration Isn’t Optimization

A common disconnect is equating cloud migration with automatic cost reduction. Townsend highlighted that treating the cloud like an on-premises data center, simply “lifting and shifting” existing workloads, often carries forward legacy inefficiencies and can lead to inflated cloud bills.

“Migration without optimization risks turning your cloud environment into an expensive version of your old data center.” Chris Townsend, Senior Director at EPI-USE Services for AWS

This insight resonates with organizations that see elevated AWS spend post-migration because legacy sizing, unused resources, or lack of governance persist beyond the move.

Where Waste Typically Occurs

From a technical and business perspective, waste often emerges in three core areas:

Over-provisioned resources: Instances sized for peak demand without rightsizing for actual utilization.
Unneeded workloads: Systems migrated but rarely used, yet still billed.
Limited governance: Lack of a framework that ensures accountability for cloud cost and architectural decisions.

Townsend points out that without systematic analysis before shifting to the cloud, organizations can see 20–30% of their AWS spend tied up in waste and in some cases, much more.

Assessment Before Migration: A Strategic Advantage

Townsend shared how EPI-USE’s WHALE Assessment helps organizations uncover optimization opportunities before migration begins. This structured evaluation focuses on usage profiles, footprint reduction, instance sizing, and architectural improvements, all designed to lower spend and reduce risk.

By addressing inefficiencies up front, enterprises can make informed decisions about what to migrate and how to configure workloads for performance and cost efficiency in AWS.

“Pre-migration assessment isn’t just best practice, it’s the foundation for realizing cloud value.” Chris Townsend, Senior Director at EPI-USE Services for AWS

Optimizing Without Re-architecting

One practical takeaway from the discussion was that not all savings require ground-up redesign. With advances in technology, such as newer AWS instance types and processor generations, enterprises can achieve cost savings through right-sizing and platform modernization.

For example, leveraging more efficient compute options can lead to significant reductions in spend while supporting workload performance, without the expense and disruption of a full re-architecture.

Key Takeaways for Leaders

Executives and technical leaders alike can benefit from reframing how they approach cloud initiatives:

Cloud migration is just one step. Meaningful cost savings come from optimization and governance.
Early assessment pays dividends. Understanding your environment before migrating reduces risk and spend.
Ongoing cost accountability matters. Embedding cost governance into cloud operations drives sustainable outcomes.

Want to Drive Real Value from Your Migration?

Migration alone won’t deliver cost savings but a strategic, data-driven approach can.

If your organization is preparing to move to AWS or already underway, consider how assessment and optimization can reduce waste and accelerate value realization.

Listen to the full podcast episode and explore how EPI-USE can help you build a cost-efficient, optimized cloud environment.