REW Technology, Saint Petersburg, FL (2026)

04/08/2026

Does your team know who owns the Kubernetes cluster at 2am?

Most US mid-market companies adopt Kubernetes for a technical reason. The cluster breaks for an operational one.
Two engineers build it. They understand it well.
6 months later they move on. The team that inherits it has no documented picture of how it was designed or where it breaks.
Every incident starts with an hour of archaeology.

Four configurations that separate stable clusters from fragile ones:

1. Namespace-per-team with enforced resource quotas -- one workload consuming all cluster memory evicts other teams' services without warning
2. GitOps via ArgoCD or Flux -- every cluster change version-controlled and reversible
3. Probe discipline -- misconfigured liveness and readiness probes cause more production incidents than any other single config issue
4. PodDisruptionBudgets on every production workload -- without one, a rolling node upgrade can take down all replicas simultaneously

↳ Observability stack before the first production workload, not after the first incident
↳ Resource requests and limits on every workload before you touch HPA
↳ ECS Fargate, Azure Container Apps, or Nomad may get you further if your team is under five platform engineers

The operating model has to exist before the cluster does.

📖 We put together a full breakdown of everything above – configurations, alternatives, autoscaling, and the VMware/VKS path if your org runs on VCF. It took a while to write and we think it covers the parts most Kubernetes guides skip. Worth a read: https://rewtechnology.com/study-case/case-study/kubernetes-project-succeed-fail-before-first-deployment/

03/19/2026

Can your payment infrastructure absorb a new core banking system without losing track of transactions?

A US financial services company processing billions in payments annually needed to integrate a new core banking platform into their existing stack.
Two problems surfaced before any code was written:

1. The new system processed payments in real time. The existing one ran on end-of-day batch cycles. Nothing bridged the gap.
2. Cross-border payments above a certain threshold required a compliance logging format the vendor didn't produce by default.

REW Technology ran a full discovery phase first:
↳ Transaction buffer built in Java + Spring Boot to sync timing between both systems
↳ End-of-day batch replaced with event-driven flow via Apache Kafka
↳ Compliance logging automated with validation before every record was written
↳ Rollback mechanism added to reroute transaction types without full redeployment

The result:
✔ Transaction sync window cut from end-of-day to under 12 minutes
✔ Zero compliance gaps in post-launch audit
✔ One rollback used in production — resolved and re-enabled the same day

📖 Read full case study here: https://rewtechnology.com/study-case/case-study/core-banking-payments-stack-integration-case-study/

12/19/2025

Many marketplace teams deal with the same problem — people ask the same questions every day.

A marketplace operator we worked with faced this at scale. The information existed, but it wasn’t easy to find.
Because of this, the internal team spent most of their day repeating the same explanations.

Before choosing any AI approach, we ran a proper discovery phase. We spoke with support teams, reviewed workflows, analyzed real vendor questions, and mapped what was actually needed. The goal was simple: build something useful — not something created just because “AI is hype.”

The outcome of the discovery was clear: the client needed fast, reliable answers that matched their official documentation.
So we built an AI chatbot focused only on that.

It could:
• Answer vendor questions using verified information
• Explain rules, fees, and onboarding steps
• Reduce repeated support tickets
• Help vendors complete tasks without waiting for a reply
• Run securely inside the client’s environment

Thinking about building a similar AI chatbot — one that gives correct answers without hallucinations?
We can help you design it properly, from discovery to delivery.

Full case study here:
https://rewtechnology.com/study-case/case-study/streamlining-marketplace-operations-with-ai-chatbots/

10/31/2025

Can your enterprise systems act as one?
At enterprise scale, automation alone isn’t enough.

A global consumer goods company with 20,000+ employees had built automations across every department — HR, cybersecurity, finance, supply chain. Each worked locally but failed to communicate globally.

HR process could jump between Workday, Outlook, Active Directory, and ServiceNow — and freeze if one link broke. Cybersecurity alerts surfaced in Darktrace but required manual correlation in Splunk.

REW Technology helped the company move from automation to orchestration — with AI at the core.
↳ AI interpreted events, checked context and policy, and coordinated actions across systems.
↳ Logic Apps and Power Automate executed those actions, closing the loop in ServiceNow.
↳ Azure Cognitive Search ensured every workflow stayed compliant before ex*****on.
↳ The result was what the CIO called “a living process graph” — automations that finally understood each other.

Within one quarter:
✔ 60% of workflows orchestrated end-to-end
✔ Cyber incident resolution 35% faster
✔ Departmental handoffs reduced by 40%

Disconnected automations cost time. Connected orchestration saves it.

📖 Read the full case study here: https://rewtechnology.com/study-case/case-study/ai-powered-workflow-orchestration-in-enterprise-operations/

10/03/2025

Could AI cut your financial reporting time in half?

In the energy sector, reporting delays aren’t just an operational pain — they’re a regulatory risk.

One enterprise operating across North and South America faced the classic challenge: financial data was spread across multiple ERP systems, subsidiaries, and compliance sources.

For large enterprises, data is money. Without accurate, 24/7 reporting, no product or strategy can stand.

Our team at REW Technology delivered an AI-powered reporting layer that:
↳ Pulled data directly from SAP, Oracle, and compliance repositories
↳ Used Claude + ChatGPT v5 to normalize formats and draft consolidated reports
↳ Flagged inconsistencies and late adjustments automatically
↳ Kept validation with finance experts — AI generated, people verified

The impact: reports were delivered 50% faster, with executives reviewing accurate drafts a full week earlier.

And here’s the key point: AI can’t replace human judgment — and it shouldn’t. Despite the hype, real results come from symbiosis. AI accelerates the routine; people ensure accuracy, context, and compliance. This balance creates real impact — at the enterprise level.

📖 Read the full case study here: https://rewtechnology.com/study-case/case-study/transforming-finops-50-faster-with-genai/

09/26/2025

The fastest way to accelerate enterprise sales now? AI.

U.S. telecom provider’s sales division was stuck in prep work: searching Salesforce, HubSpot, Excel sheets, and PDFs before every client meeting. It often took days to finalize proposals, client briefs lacked consistency, and engineers were interrupted answering one-off requests.

That’s when the client asked us to bring AI into the partnership:
↳ Unified Salesforce, HubSpot and GenAI into one AI assistant
↳ Generated verified client briefs and proposal drafts in minutes — with the right tone and pricing built in
↳ Surfaced cross-sell and upsell ideas drawn from account patterns
↳ Ensured every AI output linked back to original data for accuracy

In just a couple of months:
✔ prep time cut by 40%
✔ proposals delivered in

09/22/2025

The real advantage of AI isn’t speed — it’s knowing you can trust the answer.

A mid-sized US insurance provider faced a growing challeng – regulations kept evolving but their standardized contract templates didn’t.

Small changes like disclosure timelines, consumer protections, solvency rules — demanded immediate updates across policies. Tracking these manually was slow and risky. Missing one update could mean penalties or even loss of license.

REW Technology designed a different approach – AI-powered legal monitoring with a verification layer.
Instead of endless manual reviews, we built a system that:
↳ Continuously monitored regulatory updates
↳ Parsed legal texts and matched them against contract templates
↳ Flagged potentially impacted clauses with direct citations to the source
↳ Crucially — enforced a verification layer so AI outputs could never invent or alter content outside official texts

The result? Compliance teams cleared backlogs, cut review time dramatically, and gained confidence that no regulatory change was being overlooked — all while ensuring every alert was transparent, traceable, and legally sound.

Still trusting AI without verification? That’s a risk no compliance team can afford.

📖 Read the full case study here: https://rewtechnology.com/study-case/case-study/keeping-insurance-contracts-compliant-with-ai-powered-legal-monitoring/

08/15/2025

What’s Your Plan for Scaling Team Without Scaling Costs?

Financial services firm with 2,000+ employees across 5 countries was drowning in IT tickets — over 1,700 a month, mostly from remote and hybrid staff. High-priority issues dragged on past SLAs, 40% of requests sat in the backlog for days, and hiring more people wasn’t an option.

REW Technology stepped in with a secure, GenAI solution:
↳ Built a Teams chatbot powered by Azure’s newest GPT, fully hosted in the client’s cloud
↳ Automated password resets, VPN setup, software installs, and more
↳ Integrated with ServiceNow for ticket logging and Power Automate for workflows
↳ Learned from every request to continuously improve accuracy
↳ Met CIS benchmarks and passed security audits

In 3 months:
✔ 58% of tickets (1,000+/month) resolved with zero human touch
✔ Response times for common issues cut from 5 hours to under 10 minutes — 24/7
✔ Support costs reduced by 37%

Still burning budget on manual fixes? Let AI take over.

📖 Read the full case study here for more details: https://rewtechnology.com/study-case/case-study/automating-it-support-with-generative-ai/

06/20/2025

🧨 Hundreds of U.S. NGOs are about to lose access to the Microsoft tools they rely on daily — and many don’t even know it yet.

Starting July 1, Microsoft is ending its legacy nonprofit grants for Business Premium and Office 365 E1.

The replacement?
↳ Up to 300 free Microsoft 365 Business Basic licenses
↳ Up to 75% off paid Business Premium and Office 365 E1 plans

Sounds helpful — but for many NGOs, it’s not enough.
Here’s what we’re already seeing:

— Unexpected licensing bills of $10K+ per year
— Loss of security, email, and compliance features they thought were included
— No clear guidance from current vendors or resellers

🚨 At REW, we believe this shift is too important to ignore.
That’s why we’re offering a free licensing audit to U.S.-based nonprofit organizations.

What’s included:
🧩 A review of your current Microsoft 365 environment
📊 Risk and overspend assessment
📌 Tailored options based on your size, tools, and eligibility
💬 Vendor-neutral advice — no pitches, no commitments

At REW, we typically support mid to large businesses and global teams.
But over the past month, we’ve helped several NGOs navigate these licensing shifts — and realized how many more need this now.
So we’re opening this up. Pro bono.

📬 If you’re with a U.S. NGO and this resonates —
let’s figure this out together.

Send a message to Taras, Head of Microsoft Practice ([email protected]) or tag someone who might need this in comment section below

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06/13/2025

Still not doing QBRs for your own business?
At REW Technology, we run them every quarter for our clients — and here’s why that matters more than ever.

Quarterly Business Reviews (QBRs) aren’t just check-ins. They’re working sessions.

Here’s how we structure them to make progress visible and decisions easier:

🧭 1. Start with context, not dashboards
Before we look at numbers, we talk about what’s changed — in your team, your roadmap, your industry since last quarter.
Because data without context is noise.

A spike in usage could mean growth. Or a bottleneck. Or a new dependency. We help interpret what it really means.

🖇️ 2. Connect results to the work behind them
We look at the real-world effects of our tech decisions:
• Did the new CI/CD flow shorten release cycles?
• Did the new cloud workflows cut time-to-market?
• Did our infrastructure changes reduce incident response times?
• Are workflows simpler for your team, or just more complex in a new way?

Each insight points to how we improve — or pivot.

🔄 3. Use the past to shape the next 90 days
Every QBR ends with clear priorities:
• What to stop
• What to scale
• What needs fixing
• What to test next

We believe that each quarter should end with a shared roadmap — not just a list of completed tasks.

🧩 4. Surface what’s missing
Not all risks or opportunities show up in charts.
QBRs help us ask:
• Are we focusing on the right layer — infrastructure, process, or people?
• Are we ignoring something small that could snowball?
• Are we solving the right problems?
• Do we need to shift focus before the next quarter hits?

🤝 5. Make space for real conversations
Some of the most useful parts of a QBR aren’t on the agenda. When we meet regularly, think together, and align around what matters, we move faster and make better calls — together.

↳ What’s been your experience with QBRs?
↳ Do they actually help shape decisions — or just take up calendar space? Let's discuss in comments.

📌 If this framework gave you ideas — save this post for your next review.

05/23/2025

❗️ We’re hiring — 26 open remote roles across engineering and data

We regularly update our Careers page with open positions — and right now, there are 26 roles available.

A few highlights:
↳ SCADA Engineer
↳ Senior Infrastructure Engineer
↳ Data Analyst
↳ SharePoint & PowerApps Engineer

Most are senior-level positions, and we’re always interested in people who like solving complex problems and working across modern tech stacks.

✅ We’re a remote-first team with a flat structure — no pointless layers, just smart people doing great work from wherever suits them best.

Take a look — see if there’s something for you.
Or pass it on to someone who should see it 🙌

👉 rewtechnology.com/careers/

REW Technology

04/08/2026

03/19/2026

12/19/2025

10/31/2025

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09/26/2025

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05/23/2025

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