A change in cloud-native network management is unfolding as businesses increasingly adopt complex cloud and hybrid infrastructures. Unified platforms capable of seamlessly handling multi-cloud and hybrid environments are emerging as the future of network observability, changing how organizations monitor and manage their digital ecosystems.
Industry analysts project the market for these technologies to reach $6 billion by 2028, highlighting the growing demand for new network management approaches in distributed computing landscapes.
Tushar Gupta, a Network Engineer specializing in automation, monitoring, and observability, is leading this adoption. Gupta's cloud-native network devices monitoring solution is gaining traction in the industry, offering advanced capabilities for managing intricate network environments. "Unified platforms that can seamlessly handle the complexities of multi-cloud and hybrid environments represent the future of network observability," Gupta asserts, reflecting the industry's recognition of the need for more sophisticated tools in our interconnected world.
The Rise of Cloud-Native Network Monitoring
Modern enterprise information technology (IT) architecture has made adopting multi-cloud and hybrid strategies a cornerstone. Recent data reveals that 93% of large companies are actively adopting a multi-cloud strategy. Organizations drive this shift with a desire for flexibility, cost optimization, and the avoidance of vendor lock-in. However, this flexibility increases the complexity of managing network performance across disparate environments.
This challenge is something that Gupta's solution deals with upfront. He led a project to develop an advanced pipeline that efficiently retrieves, stores, and visualizes critical performance metrics from network and compute resources. "We created dashboards that offer real-time insights into network performance, compute utilization, and the health of infrastructure supporting GKE Enterprise release and qualification infrastructure." Gupta explains. "GKE product teams rely on these dashboards and our infrastructure to troubleshoot issues, assess capacity, and proactively identify potential failures."
Solving Multi-Cloud Difficulties
The project faced several challenges, including hybrid infrastructure complexity, data aggregation and integration from diverse sources, scalability concerns, and the need for proactive failure detection. Through innovative engineering and persistent iteration, Gupta's solution has impacted the industry.
"Our unified monitoring platform provides visibility across all network devices, regardless of the underlying platform or vendor," Gupta proudly states. "We've enabled rapid identification of network and compute issues in cloud environments, significantly reducing mean time to resolution."
The platform's sophisticated architecture implements predictive analytics to identify trends and anomalies, allowing teams to address potential failures before they occur. This approach, optimized capacity planning, and improved collaboration between infrastructure and application teams have revolutionized network management for many organizations.
The Network Observability Market: A Dynamic Backdrop
The demand for advanced network management solutions is reaching unprecedented levels. Analysts estimate the global active network management market at USD 1.14 billion in 2023 and expect it to grow at a CAGR of 14.8 percent from 2024 to 2030, highlighting a critical inflection point in enterprise network management.
Gupta approaches this market with both innovation and timeliness. "We're not just creating another monitoring tool," he asserts. "We're building an ecosystem that integrates seamlessly with existing DevOps workflows, ensuring that observability permeates every stage of the network lifecycle."
However, the path forward is not without skepticism. Gartner predicts that by 2029, 60% of enterprises that deploy a unified network observability solution within their architecture will need more extensive visibility into their network performance and fail to achieve their desired operational goals. Adding to this perspective, a Gartner analyst argues, "Network observability represents an evolving concept, building on the foundation of network visibility. While its definition continues to take shape, it opens opportunities to enhance and expand beyond the capabilities traditionally offered by Network Performance Monitoring and Diagnostics (NPMD) products."
Open-Source Contributions: Advancing Industry-Wide Solutions
Beyond commercial success, Gupta's impact extends to significant contributions to open-source network observability tools, demonstrating his commitment to advancing the field. One notable contribution was to Suzieq, an industry-leading open-source, multivendor network observability tool with over 250,000 downloads from PyPI.
"Suzieq was facing a critical challenge in accurately monitoring network states in complex Virtual Extensible LAN (VxLAN) environments," Gupta explains. "We developed a fix that accurately captures and reports VRF assignments in these environments, especially for configurations with server-facing trunk ports."
This enhancement merged into Suzieq's main codebase and immediately benefited the entire user base, improving network management for a significant portion of the industry. It expanded Suzieq's capabilities in handling complex VxLAN configurations, increasing its value for network engineers managing complicated networking environments across various scales.
The Human Element in a World of Automation
Despite focusing on automation and AI, Gupta quickly emphasizes the human element's continued importance in network management. "Technology is a tool, not a replacement for human judgment," he states. "Our goal is to empower network teams with the tools they need to make better decisions faster, not to replace them entirely."
This human-centric approach is reflected in the design of Gupta's solution, which includes features for collaboration and knowledge sharing among team members. By combining technological innovation with human expertise, organizations can stay ahead of the curve in the network landscape by fostering a culture of continuous learning and improvement.
The Future of Network Infrastructure Management
As networks become increasingly complex and critical to business operations, solutions like Gupta's cloud-native network devices monitoring system will play a crucial role in shaping the industry. The stakes are enormous: the global cloud computing market is projected to reach $947.3 billion by 2026, demanding increasingly sophisticated management tools.
While integrating emerging technologies such as AI and machine learning (ML) into network management solutions presents challenges and opportunities, the potential benefits are compelling. "AI and ML have the potential to revolutionize how we approach network performance optimization and predictive maintenance," Gupta notes. "We're actively exploring ways to incorporate these technologies into our platform to enhance anomaly detection and automate response mechanisms."
Gupta offers a final thought: "The true measure of success in network infrastructure management isn't just about preventing outages or streamlining operations. It's about enabling organizations to innovate confidently, knowing that their network environments are observable, optimized, and ready to support the next generation of applications and services."
