☁ Rambunct ☁ | AWS Cloud Solutions

Wednesday's webinar comes with a free proof of concept for the first 20 companies that register and ask for one. Extend your AI with Amazon Bedrock AgentCore is a free 60-minute session on Wednesday 21 October at 11:00 GMT, which is 12:00 UK time and 07:00 US Eastern. Paolo James Bargellini and Nkere-Awaji show how ChatGPT or Claude can act in your systems through a governed layer in your own AWS account, walk through four scenarios, and set out the rules that keep every action identified, permitted, approved and logged. The proof of concept is tailored to your business. It runs in your AWS account too. There is one per company, subject to availability, and places go in the order requests arrive. Cannot make it live? Register anyway and we will send you the recording. https://lnkd.in/eWRvJZCi

Your team already pays for ChatGPT or Claude. Register for our free webinar and ask for a free proof of concept: the first 20 companies get one. On Wednesday 21 October at 11:00 GMT (12:00 UK time) we show how to keep those tools and let them act in your systems, with approval, through a governed layer built on Amazon Bedrock AgentCore in your own AWS account. The proof of concept runs in that account too. There is one per company, subject to availability.

Join us to learn how to extend your AI with Amazon Bedrock AgentCore and let it work inside your business, with every action identified, permitted, approved and logged. Your team keeps working in ChatGPT or Claude. The webinar, Extend your AI with Amazon Bedrock AgentCore, is free and starts on Wednesday 21 October at 11:00 GMT, which is 12:00 UK time and 07:00 US Eastern. It runs for 60 minutes with live Q&A, and everyone who registers gets the recording. Get a free proof of concept as one of the first 20 companies to request it when you register. It is tailored to your business and runs in your own AWS account. Register here: https://lnkd.in/eQsTmnXp

Six weeks to migrate an entire infrastructure from Rackspace to AWS. Zero room for error. Here's what happened. The Project: A major server migration from Rackspace to AWS. Client data. Production workloads. Zero tolerance for downtime. The Challenge: Legacy infrastructure that (mostly) worked. Business growth pushing past capacity. Need to move fast without risking disruption. Our Approach: 1. Detailed migration plan from day one 2. Clear deliverables, documented upfront 3. Phased migration to limit risk 4. Testing at every phase 5. Continuous communication with the client The Results: Migration completed on deadline. Zero data loss. Minimal downtime. Client continued partnership after. Client Feedback: “Rambunct assisted us in a major server migration from Rackspace to AWS. They worked quickly and communicated well. At the start of the project, Rambunct created a detailed outline of deliverables. The project was a success.” The Pattern Behind Successful Migrations: It’s not about technical wizardry. It’s about: - Clear planning - Risk management - Communication - Execution discipline Most migration failures aren’t technical. They’re process failures. What’s your biggest concern about migrating to AWS?

After auditing 50+ FinTech AWS accounts, we see the same 5 cost drains nearly every time. 1. Over-provisioned databases - Multi-AZ in dev environments (unnecessary) Savings: $3K-10K/month 2. Forgotten resources - Test environments still running from 2023 Savings: $1K-6K/month 3. Wrong instance types - Standard EC2 instead of Graviton Savings: $4K-15K/month 4. Unoptimized storage - Snapshots from 3 years ago Savings: $600-4K/month 5. Data transfer costs - Inefficient cross-region architecture Savings: $1K-8K/month Total annual waste: $115K-$510K Most FinTech CTOs don't have time to audit every resource. That's why we do it in 1-2 weeks. And why we offer a free AWS audit for FinTech companies - we'll show you exactly where the waste is: https://bit.ly/4ijxAOp #FinTech #AWS #CostOptimization

“Our AWS bill keeps growing, but we’re not sure why.” — Nitorum Capital, January They were running a legacy Django app on outdated infrastructure. Performance was declining. Costs were climbing. The Problem: Django 1.x on Python 2.7 (outdated, unsupported) MySQL 5.7 (approaching end of life) Standard EC2 instances (not cost-optimised) No performance monitoring No clear path forward What We Did: Phase 1: Assessment Complete infrastructure audit Performance baseline measurement Cost analysis across all resources Phase 2: Modernisation Upgraded to Python 3.11 + Django 4.2 Migrated to MySQL 8 Switched to Graviton processors (best price-performance on AWS) Implemented proper monitoring with CloudWatch Phase 3: Optimization Right-sized instances based on actual usage Eliminated unnecessary redundancy Set up auto-scaling for variable loads The Results: 40% cost savings on infrastructure 35% performance improvement across the application Near-zero downtime during migrations Future-proofed tech stack Timeline: 6 weeks from audit to completion. The Lesson: This isn't unique to Nitorum. Most FinTech companies we audit have similar opportunities. - Outdated infrastructure. - Over-provisioned resources. - No optimization strategy. The difference? Knowing when to bring in specialists. Read the full story: https://bit.ly/4rcdGbW Curious what we’d uncover in your AWS environment? Drop us a message. #AWS #FinTech #ModernInfrastructure #CostOptimization