DigitalRoute

⚠️ ETL & iPaaS won’t scale usage-based models. ⚠️ So, what will? Mediation. Join us on March 19th for a live webinar with Nicole Chandras (Enterprise Growth Expert) and Matias Karlsson ( AI Specialist and CTO) to discover: ✅ Why ETL & iPaaS fall short ✅ How mediation can solve your data challenges ✅ Tips to scale smarter Register now! Link in comments 👇

Last chance to join us LIVE! In just 1.5 hours, we’re diving into ETL vs. iPaaS vs. Mediation—and what really works for usage data. Here's what’s on the agenda: ⚠️ The biggest challenges companies face with usage data 💡 Key differences between these 3 solutions 🚀 How mediation powers AI monetization ❓ Live Q&A—bring your questions! Don’t miss out—register now! 🔗

Still stuck on ETL vs. iPaaS vs. Mediation? 🤔 Which one actually works best for usage-based models? Good news—we’ve got the answers for you in our webinar tomorrow! Join CTO and AI specialist Matias Karlsson and Enterprise Sales Director Nicole Chandras as they break down the differences between these tools and which option is best for your business. Here’s what we’ll dive into: 🔥 Why mediation systems are needed for AI monetization 🔧 The downsides to ETL and iPaaS—and why they might not be enough 🚀 Growth opportunities you might be missing 💬 Live Q&A to get all your questions answered on the spot! Don’t miss out—register now through the link in the comments 👇 See you there!

🚀 AI monetization is taking off—Is your usage data strategy built to scale? Join Nicole Chandras, Enterprise Director at DigitalRoute, and Matias Karlsson, CTO & AI specialist, for a live webinar as they break down: ✅ ETL vs. iPaaS vs. Mediation—which solution scales for consumption models? ✅ How to avoid the biggest data pitfalls ✅ Future-proofing your AI & usage-based business 🔗 Register now: https://lnkd.in/dWdgFfNz

When 39 brilliant minds from across DigitalRoute unite for our Sales Kick-off, you know it’s going to be electric. ️ 💡 Big ideas 📚 Insights from customer wins 🤝 Building a stronger team 🚀 Defining our path forward 🌍 A global team ready to make things happen Huge thanks to the organizers for bringing the event to life! As Jeff Jacobs put it: “We’re pumped up!!” Kristine Andersen Thomas Walker Stefan Stoffels Bert J. Dempsey Sarah Meier Brauckhoff Linus Askenäs Olivier Bussenot Ari Vänttinen Per-Erik Johansson Richard Matti Chris Curtis Demed L'Her Andreas Zartmann Shirley Johansson Emil Eriksson Emelie Smith Emelie Cullbrand Hanne Engberg Jessica Hamling Martin Hellstrand Sedki Alimam

ETL, iPaaS, or Mediation—only one is built for high-volume, usage-based models. Find out which in our exclusive webinar. Reserve your spot now! 🎯🚀https://lnkd.in/dWdgFfNz

Handling more data isn’t the challenge—handling it efficiently is. As telecom data volumes grow, balancing performance, resource efficiency, and cost becomes critical. Over-provisioning wastes resources, while under-provisioning risks performance bottlenecks.  Usage Engine Private Edition 5 optimizes mediation performance with: ▪️ Dynamic workload scaling means resources are allocated only when needed—cutting costs while maintaining reliability. ▪️ Partition-based execution ensures exactly-once processing, eliminating duplication and inefficiencies. ▪️ Optimized Kafka architecture enables parallel processing, faster throughput, and seamless workload distribution. Join Neil Smith-Willis from our Product Management team in our latest on-demand webinar as he walks through these and other innovations. Watch now → https://hubs.ly/Q03btJxb0 #TelecomInnovation #PerformanceOptimization #DataMediation #Scalability #Kafka #BSSOSS #UsageEnginePrivateEdition

How does your data mediation platform keep up with traffic spikes? Telecom data mediation workloads are anything but predictable. Traffic surges during peak hours, major live events, and network expansions put pressure on your infrastructure—demanding agility and efficiency. So, how does your data mediation stack handle these fluctuations? 🔹 Virtual Machine-based deployments: Require pre-allocated resources for peak loads, often resulting in idle capacity and inefficiencies during off-peak times. While autoscaling exists, VM-based scaling is slower and less granular compared to containerized solutions, making it harder to optimize costs and responsiveness. 🔹 Kubernetes-based deployments: Scale workloads dynamically, responding to demand in real time. Kubernetes automates scaling at the container level, using Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler to provide greater flexibility, faster response times, and improved efficiency over VM-based scaling. For telecom operators, the right deployment model is about more than cost—it’s about scalability, efficiency and operational flexibility. The right deployment choice can transform how you manage traffic spikes and resource efficiency. We’ve outlined the trade-offs in our latest whitepaper, developed in cooperation with AWS. Get your copy of the comparison guide here: https://hubs.ly/Q03bf-j90 AWS for Telecom AWS Partners  #AWS #AWSforTelecom #AWSCloud #CloudComputing #AWSPartners #TelecomCloud #CloudNative #DataMediation #Kubernetes #VirtualMachines #Scalability #Automation #BSSOSS 

Usage data is not just any data. It’s revenue-bearing data. You lose data? That’s revenue leakage. You duplicate data? That’s double billing. Looking forward to hearing Nicole Chandras and https://lnkd.in/dxqaFT7U tell us more about this! DigitalRoute

Scaling Smarter, Not Harder – The New Era of Data Mediation Every telecom expert responsible for ensuring reliable, high-volume data processing understands the trade-off: 📈 More capacity means more cost. 📉 Less capacity risks performance issues. But Usage Engine Private Edition 5 introduces a new way to scale, enabled by Scalable Batch Workflows and Kafka Enhancements: 🔹 Partition-based execution ensures exactly-once processing, eliminating duplication and inefficiencies. 🔹 Dynamic workload scaling means resources are allocated only when needed—cutting costs while maintaining reliability. 🔹 Optimized Kafka architecture enables parallel processing, faster throughput, and seamless workload distribution. These enhancements, part of a multi-version evolution from 4.1 to 5.0, offer a smarter, cost-effective approach to high-volume data processing in telecom. Curious to see how it works? Join Neil Smith-Willis from our Product Management team in our latest on-demand webinar, where he walks through these key innovations. Watch now → https://lnkd.in/d-pRGKfn #DataMediation #Scalability #Kafka #CloudComputing #Telecoms #UsageEnginePrivateEdition