Connectivity now powers everything. Legacy services, cloud-native apps, AI workloads, and more are all reliant upon responsive, always-on connectivity. For service providers, meeting this imperative for performance and availability continues to get more challenging as networks get larger, cross more domains, and encompass a more diverse, dynamic set of technologies. The stakes are high for any service provider, including cloud service providers (CSPs), managed service providers (MSPs), global system integrators (GSI), and telcos. For these organizations, network downtime, blind spots, and sluggish troubleshooting can quickly erode hard-earned customer trust and diminish revenues over the long term.
Given the stakes and intensifying challenges, it’s more vital than ever to be able to learn from the experience of service providers who are getting it right. That’s why the Atos case study is more than just a success story—it’s a blueprint for network modernization and operations excellence. Atos, a global leader in digital transformation, turned to Network Observability by Broadcom to tame operational complexity, enhance AI readiness, and generate measurable business outcomes. For service providers, this story offers a compelling look at how network observability is more than a technical upgrade—it’s a strategic imperative.
The observability imperative: Why traditional monitoring falls short
Traditional network monitoring tools were built for static environments. They rely on predefined thresholds, siloed data, and reactive troubleshooting. But modern service providers operate in dynamic, hybrid ecosystems—environments that feature cloud-native apps, edge computing, and AI workloads. To manage and optimize these environments, service providers must have real-time insights and predictive intelligence that can scale.
Network observability goes beyond monitoring to address these demands. It captures granular telemetry across every domain—including physical systems, virtualized environments, cloud services, and software-defined networks (SDN)—and correlates it to deliver actionable insights. It’s not just about seeing what’s wrong; it’s about understanding why, speeding resolution, and anticipating what’s next.
Atos’ challenge: Scaling in the midst of intensifying complexity
Atos was grappling with a familiar pain point: managing a vast and diverse network infrastructure across multiple customer environments. Their teams were spending excessive time on manual troubleshooting, often chasing symptoms instead of root causes. The lack of unified visibility made it difficult to optimize performance, ensure consistent SLA compliance, and prepare for AI-driven workloads.
For a company committed to delivering cutting-edge digital services, this was unsustainable. Atos needed a solution that could:
- Break down data silos across network domains.
- Deliver real-time, correlated insights.
- Support AI-ready infrastructure with scalable telemetry.
- Improve operational efficiency and customer outcomes.
The Broadcom advantage: Unified observability in action
Enter Network Observability by Broadcom. Unlike traditional tools, Broadcom’s platform gave Atos a single source of truth across their entire network ecosystem. It ingested telemetry from routers, switches, firewalls, cloud gateways, SDN controllers, and much more—then applied advanced AI-enabled analytics to reveal patterns, identify anomalies, and offer predictive insights.
Here are the key capabilities that made the difference:
- Domain-agnostic visibility. Atos could now monitor multi-vendor, multi-cloud environments in real time.
- AI-driven insights. Machine learning algorithms helped teams identify root causes faster and even anticipate potential issues before they affected services.
- Automated workflows. Integration with orchestration tools enabled closed-loop remediation, reducing mean time to resolution (MTTR).
- Scalability for AI workloads. The platform’s ability to handle high-volume telemetry positioned Atos to confidently meet the intensive networking demands of AI workloads.
Business outcomes: From reactive to proactive
The company has realized significant results. Atos saw a significant improvement in operational efficiency, with network teams spending less time firefighting and more time optimizing. Customer satisfaction improved as SLAs were met more consistently. And perhaps most importantly, Atos was able to position its infrastructure as AI ready—which opened up opportunities for new revenue streams and service offerings.
Here are some highlights of the results Atos achieved:
- Reduced MTTR by up to 50%
- Improved SLA compliance across key accounts
- Enabled predictive maintenance and capacity planning
- Accelerated onboarding of AI-driven services
Why this matters for service providers
Atos successfully made the journey to network observability. This transition represents a strategic imperative for service providers—relying on fragmented tools simply isn’t sustainable. Whether you’re leading a telco navigating hybrid architectures, a cloud provider scaling edge services, or an MSP supporting enterprise clients—network observability is no longer optional.
Here’s why:
- Customer expectations are sky high. Downtime isn’t tolerated. Network observability helps you stay ahead of issues.
- AI is the future. From predictive analytics to optimized operations, observability lays the groundwork for AI success.
- Operational efficiency drives profitability. Network observability reduces manual tasks, speeds resolutions, and enables smarter decisions.
- Competitive differentiation. Offering network observability-backed SLAs can be a game-changer in crowded markets.
Getting started: What service provider leaders should do now
If you’re leading product strategy or network operations, here are three steps to take:
- Audit your current monitoring stack. Identify gaps in visibility, especially across cloud and SDN domains.
- Define AI-readiness goals. What workloads are coming? What telemetry will you need?
- Evaluate network observability platforms. Look for solutions that offer domain-agnostic ingestion, real-time analytics, and automation.
Final thought: Network observability is your winning strategy
Atos didn’t just deploy a new tool—they embraced a new mindset. Network observability became a strategic enabler, not just a technical fix. For service providers navigating complexity, chasing innovation, and striving for excellence, that mindset is the key to achieving long-term success.
