In today’s enterprise environment, the shift towards a hyperconnected ecosystem has made Multi-Cloud Connectivity (MCC) a core pillar of digital transformation. As organisations distribute workloads across cloud service providers such as AWS, Azure, and Google Cloud Platform (GCP), they often face challenges like rising costs and performance bottlenecks. To address these issues, Observability Tools have become essential. These tools provide the visibility and insight needed to ensure multi-cloud environments remain fast, scalable, and cost-efficient.

Without the right visibility, businesses risk falling into a “cloud cost trap” where data movement is poorly managed, performance becomes unpredictable, and costs rise unexpectedly. Observability Tools help organisations stay in control by offering a clear view of what is happening across their cloud networks.

What are observability tools in MCC?

In a Multi-Cloud Connectivity environment, data observability tools are software-based solutions designed to solve the problem of fragmented visibility. As organisations grow and expand across multiple clouds, it becomes increasingly difficult to track traffic flows, virtual networks, and route configurations.

Observability Tools work by collecting and aggregating data from across the entire network fabric. They provide a “single pane of glass” that shows how data moves between on-premises data centres, branch offices, and multiple cloud service providers (CSPs).

By using Network Functions Virtualisation (NFV), data observability tools move monitoring and analytics functions away from physical hardware and onto virtual machines. This software-driven approach makes network monitoring more agile, flexible, and easier to scale as business needs change.

Core capabilities of data observability tools

To be effective in an MCC environment, data observability tools must go beyond basic monitoring. Their core capabilities include:

• Traffic mapping: Visualising how data flows across AWS, Azure, and GCP to identify congestion points and performance bottlenecks.

• Route monitoring: Continuously tracking route settings to prevent misconfigurations that can cause downtime.

• Cost tracking: Monitoring data egress costs, which are incurred when data exits a cloud provider’s network.

• SLA verification: Measuring performance against Service Level Agreements, including 100% uptime SLAs offered through redundant architectures.

• Automated alerting: Using Software-Defined Cloud Interconnect (SDCI) automation to provide real-time alerts when risks or performance issues arise.

Together, these capabilities allow organisations to make informed decisions and maintain control over complex multi-cloud environments.

Enhancing MCC performance with observability tools

The main goal of Observability Tools is to transform complex and frustrating cloud experiences into smooth and predictable ones. Here is how they improve MCC performance:

• Eliminating blind spots
  By addressing fragmented visibility, businesses gain a clear understanding of where their data is travelling. This helps optimise application performance and improve return on investment (ROI).

• Predictable latency
  Data observability tools help track the proximity of Points of Presence (PoPs) to cloud providers. Knowing that applications are less than 2ms away from major clouds enables faster and more reliable access.

• Reducing egress costs
  With clear insights into data movement, organisations can optimise routing, improve data placement, and apply compression strategies. This can reduce data egress costs by 25–40%.

• Agile configuration
  Instead of long provisioning lead times, observability-enabled platforms allow bandwidth and virtual network functions to be scaled up or down in minutes, supporting real-time business demands.
  

Must-have features in MCC observability tools

When choosing Observability Tools for a multi-cloud environment, certain features are essential:

• Multi-cloud integration: Support for direct connections such as AWS Direct Connect, Azure ExpressRoute, and GCP Interconnect.

• On-demand provisioning: The ability to make network changes through a simple, platform-based interface in fewer than 10 clicks.

• Real-time analytics: Detailed insights into traffic patterns to avoid the unpredictability of the public internet.

• Simplified orchestration: Integration with SDCI to streamline operations, reduce risk, and improve efficiency.

• Security integration: Compatibility with Zero Trust Network Access (ZTNA) and SASE to ensure visibility does not compromise security.

These features ensure data observability tools support both performance and security requirements.

Best practices for deploying observability tools in MCC

Implementing Observability Tools successfully requires a structured approach to avoid adding complexity:

• Centralise via a network hub: Use a hub-based architecture to aggregate network and security components into a unified cloud landing zone.

• Use managed services: A fully managed solution reduces operational burden and ensures predictable performance from branch to cloud.

• Focus on FinOps: Regularly assess cost insights using savings calculators to manage Total Cost of Ownership (TCO).

• Automate wherever possible: Use orchestration to automatically scale network functions based on real-time insights from data observability tools.

These practices help organisations gain maximum value from their observability investments.

Future of data observability tools in MCC

Traditional network management methods are no longer sufficient for environments that span multiple clouds. The future lies in cloud networking that delivers consistent, secure, and high-performance access to data.

Data observability tools are expected to evolve with AI-driven analytics that can predict performance issues before users are affected. The transition to SD-WAN 3.0 will likely embed observability directly into the network fabric, enabling automated, self-healing capabilities.

As organisations continue to pursue digital excellence, their ability to “clear the skies” for connectivity will depend on how effectively they can observe, analyse, and act on data in motion.

Final thoughts on observability tools for MCC

Observability Tools are the solution to the complexity, high costs, and unpredictable performance that often affect multi-cloud environments. By offering complete visibility into the network, these tools help organisations build secure, agile, and future-ready infrastructures.

Tata Communications plays a key role in this journey through its IZO™+ Multi Cloud Connect solution. Designed to address fragmented visibility and rising egress costs, IZO™+ enables instant cloud connections and performance optimisation via the Tata Communications TCˣ platform.

Recognised as a Leader in the 2025 Gartner® Magic Quadrant™ for Global WAN Services, Tata Communications provides a tier-1 global fibre network and managed expertise that turns complex observability data into clear, actionable business outcomes.

Gain full visibility across your multi-cloud network. Understand performance, control costs, and optimise connectivity with powerful Observability Tools. Schedule A Conversation