AI Observability Gets Accessible: Selector’s AWS Debut Signals a New Era for Network Management

SANTA CLARA, CA – December 03, 2025 – The daunting complexity of modern IT infrastructure may have just met its match in a far more accessible form. Selector, a key player in the burgeoning field of AI-driven network intelligence, has announced its flagship observability platform is now available on the Amazon Web Services (AWS) Marketplace. While a new marketplace listing might seem like a routine channel update, this move represents a significant step in democratizing access to the sophisticated tools needed to manage the sprawling, hybrid, and multi-cloud environments that now power global business.

For years, the promise of AIOps—using artificial intelligence to automate and streamline IT operations—has been tantalizing but often just out of reach for many organizations, locked behind complex procurement cycles and lengthy deployment projects. Selector's arrival on the world's largest cloud marketplace is set to dismantle these barriers, enabling companies to adopt advanced network monitoring and root cause analysis with the same ease as spinning up a new server.

Lowering the Barrier to Entry for Intelligent Operations

The most immediate impact of Selector’s availability on AWS Marketplace is the radical simplification of the adoption process. Enterprises can now leverage their existing AWS billing relationships and procurement workflows to acquire and deploy the platform, effectively sidestepping the administrative red tape that can stall innovation. Research shows that software vendors on AWS Marketplace can close deals 50% faster, and customers report that solution discovery time is reduced by as much as 70%. This isn't just about convenience; it's about accelerating time-to-value.

"As enterprise networks continue to evolve across hybrid and multi-cloud environments, accessibility and time-to-deployment have become critical," said Kannan Kothandaraman, CEO and Co-founder of Selector, in the company's official announcement. "Our availability on AWS Marketplace makes it easier for customers to bring AI-driven clarity and automation into their network operations, enabling faster incident resolution, more resilient services, and greater operational efficiency, all within the AWS ecosystem."

By integrating directly into a company’s existing cloud spend, the move allows IT leaders to consolidate costs and utilize established Enterprise Discount Programs. More importantly, it empowers DevOps and network teams to move from evaluation to implementation in minutes rather than months. They can immediately begin feeding network telemetry, application data, and infrastructure metrics from across their cloud, on-premises, and edge deployments into Selector’s platform, gaining a unified view of their digital ecosystem through a single interface.

A Strategic Play in a Multi-Billion Dollar Arena

Beyond the practical benefits for customers, this launch is a calculated strategic maneuver by Selector in the hyper-competitive AIOps landscape. The market is experiencing explosive growth, with some analyst projections estimating its value to reach nearly $85 billion by 2035. This rapid expansion is fueled by the sheer unmanageability of modern IT environments, where the volume and velocity of data generated by distributed systems overwhelm human capacity.

Selector is vying for dominance against established giants like Splunk, Dynatrace, and Datadog, as well as a host of specialized innovators. In this crowded field, having a superior product is only half the battle; distribution and ecosystem integration are paramount. By listing on AWS Marketplace, Selector gains direct access to over 300,000 active AWS customers, from nimble startups to the majority of Fortune 100 companies. It's a powerful channel for market penetration, instantly placing its solution on the virtual shelves of the world's most influential cloud buyers.

This move also reflects a broader industry trend towards consolidation and platform integration. Customers are increasingly looking for cohesive solutions that bridge observability, cybersecurity, and IT operations. By embedding itself within the AWS ecosystem, Selector not only simplifies its own sales cycle but also positions its platform as a natural extension of a company's cloud strategy, rather than a siloed, standalone tool. This deep integration is crucial for building trust and driving wider adoption within large enterprises.

Fusing AI Reasoning with Cloud Elasticity

At the core of this development is a powerful technological synergy. The true innovation lies in combining Selector's advanced AI engine with the immense scalability and elasticity of the AWS cloud. This isn't just about basic anomaly detection; Selector’s platform leverages a sophisticated mix of large language models (LLMs), knowledge graphs, and causal reasoning to move beyond simply identifying what went wrong to explaining why it went wrong.

This technology allows for a conversational approach to network management, where engineers can ask natural language questions—such as "What caused the latency spike in the payment gateway an hour ago?"—and receive concise, actionable answers. The platform builds a digital twin of the network environment, correlating disparate data points to uncover the hidden dependencies between a network event, an application performance issue, and a change in cloud infrastructure. This capability is critical for reducing Mean Time to Resolution (MTTR) and, ultimately, preventing outages before they impact customers.

The industry is in the midst of a fundamental shift from a reactive to a proactive operational model. Legacy Network Operations Centers (NOCs), with their walls of screens and armies of engineers sifting through alerts, are becoming obsolete. The future of network management is predictive and autonomous. By running on AWS's elastic infrastructure, Selector's AI can scale on demand to analyze massive, real-time data streams, identifying subtle patterns that predict future failures. This fusion of intelligent software and scalable hardware is the engine that will power the next generation of self-healing, resilient digital services.