|
By Bob Slevin
Operations teams have lived with the same frustrating tradeoff for years: the data exists, but getting to the right answer often takes too much time and too much expertise. Engineers are expected to know platform-specific query languages, navigate layers of dashboards, and understand exactly where the right visualization lives before they can even begin troubleshooting. That approach can work in smaller environments, but as infrastructure grows more distributed and complex, it becomes a bottleneck.
|
By Dallon Robinette
Anyone who has spent time in a NOC knows how quickly a routine issue can turn into a scramble. A user in a branch office reports that a critical application is unavailable. Slack starts lighting up, dashboards begin to fill with warnings, and before long several teams are trying to answer the same basic question at once: what exactly is broken, where is it broken, and who owns the next move?
|
By Bob Slevin
For years, IT operations teams have been trapped in a frustrating paradox: the data they need to solve critical issues is right at their fingertips, yet entirely out of reach. Accessing it requires engineers to master complex, platform-specific query languages, dig through endless layers of dashboards, and hunt for the exact visualization that holds the answer. Under the intense pressures of modern speed, scale, and complexity, this rigid model is breaking down.
|
By Dallon Robinette
Modern network operations generate an extraordinary amount of telemetry. Metrics, logs, events, topology data, cloud signals, and service context all contribute to a richer picture of system behavior. As environments expand across cloud, data center, edge, and SaaS, the opportunity for operations teams is clear: when that telemetry is unified and understood in context, it becomes a powerful source of resilience, efficiency, and business insight.
|
By Dallon Robinette
On March 18th, we hosted a session focused on a challenge that continues to undermine even the most mature IT operations teams: ticket noise. It’s easy to dismiss noise as just “too many alerts”. But as we explored in the webinar, the real issue runs deeper. Ticket noise is a symptom of something more fundamental — a lack of correlation, context, and shared visibility across the stack.
|
By Dallon Robinette
Cloud adoption was supposed to simplify operations. Infrastructure would become programmable, scalability would become elastic, and distributed architectures would enable resilience at global scale. In practice, cloud has delivered extraordinary flexibility, but it has also introduced a level of operational complexity that traditional observability approaches were never designed to handle.
|
By Dallon Robinette
As enterprises accelerate digital transformation, technology performance has become inseparable from business performance. Customer experiences, revenue streams, and operational efficiency increasingly depend on the reliability of complex, distributed systems. In this environment, full-stack observability is no longer a technical aspiration — it is a strategic necessity.
|
By Dallon Robinette
Artificial intelligence has been a defining theme in IT operations for nearly a decade. Early AIOps initiatives focused on predictive analytics and anomaly detection, promising to reduce operational overhead and improve system reliability. While these capabilities delivered incremental value, they often fell short of transforming how operations actually functioned.
|
By Dallon Robinette
For more than two decades, monitoring has been the foundation of IT operations. Organizations invested heavily in tools designed to collect metrics, visualize performance, and trigger alerts when thresholds were breached. This model was effective in an era when infrastructure was largely static, workloads were predictable, and system dependencies were relatively easy to trace. That environment no longer exists.
|
By Selector
Valuation doubles and annual recurring revenue grows nearly four times, driven by Fortune 1000 adoption of unified observability solutions.
|
By Selector
What does it take to reinvent network visibility from the ground up? In this episode of Next-Gen Network Heroes, Bob sits down with Liang Chen, Senior Network Architect at Texas Children’s Hospital and creator of a next-generation network traffic analyzer built for real-time, packet-level visibility. Liang shares how he built a platform capable of analyzing traffic at up to 200Gbps with zero packet loss—unlocking deeper network forensics and faster troubleshooting in mission-critical environments.
|
By Selector
What happens when deep networking expertise meets low-level programming and a passion for invention? In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Liang Chen, Senior Network Architect at Texas Children's Hospital and a true innovator in network performance and visibility. With more than 25 years of experience in networking, plus advanced expertise in programming languages like C and Assembly, Liang has built his own next-generation traffic analysis platform from the ground up—designed to provide real-time, packet-level visibility at massive scale.
|
By Selector
AI is changing network operations faster than ever. In the latest episode of Next-Gen Network Heroes, Bob sits down with Greg Freeman of Lumen Technologies to talk about what it takes to innovate across one of the world’s largest telecommunications networks. From deterministic workflows to agentic AI, Greg shares how his team is using automation, analytics, and AI to improve network reliability, customer experience, and operational efficiency at scale.
|
By Selector
What does it take to lead innovation across one of the world’s largest telecommunications networks? In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Greg Freeman, Vice President of Network and Customer Transformation at Lumen Technologies, to explore how AI, automation, and curiosity are reshaping the future of network operations.
|
By Selector
What happens when decades of critical infrastructure experience meet today’s rapidly evolving AI landscape? In this episode, host Bob Slevin sits down with Ernie Hayden, award-winning author, former Navy nuclear officer, ethical hacker, and founder of 443 Consulting, for a deep dive into what it truly takes to secure modern, interconnected systems.
|
By Selector
See how Selector’s AI Copilot accelerates issue diagnosis in real time. In this demo, watch how natural language queries and AI-driven insights help teams quickly analyze incidents, surface root cause, and understand impact - without digging through multiple tools. Instead of manual investigation, Selector guides operators to answers faster, reducing noise and speeding up resolution. Built for network and operations teams who need clarity, speed, and smarter troubleshooting.
|
By Selector
See how Selector transforms NOC operations in real time. This demo walks through a typical workflow - from ingesting massive volumes of network and system data to automatically detecting anomalies, correlating events, and pinpointing true root cause. Instead of chasing alerts across siloed tools, Selector delivers a single, intelligent view - reducing noise, highlighting impact, and accelerating resolution.
|
By Selector
See how Selector turns fragmented alerts into actionable insight through intelligent correlation. In this demo, watch how events from across the environment are automatically connected, reducing noise and revealing the true root cause behind incidents. Instead of chasing isolated alerts, teams get a single, clear view of what’s happening and what to do next - faster. Built for network and operations teams who need to cut through noise and resolve issues with confidence.
|
By Selector
See how Selector enables real-time validation and visibility through customizable dashboards. In this demo, watch how teams can quickly monitor network and system performance, validate changes, and track key metrics - all in one unified view. Instead of piecing together data across tools, Selector delivers clear, actionable insights that help teams stay aligned and make faster decisions. Built for network and operations teams who need instant visibility and confidence in their environment.
|
By Selector
Everyone’s rushing to AI, but few have the foundation to make it work. In this episode of Next Gen Network Heroes, Bob sits down with Steve Goudreau, Director of IT at Ice Industries, to explore what it really takes to lead in today’s evolving technology landscape. With over three decades of experience, spanning military service, financial services, and manufacturing, Steve brings a grounded, people-first perspective to an industry often obsessed with tools and trends.
|
By Selector
AIOps is ushering in a new era in which enterprise operations are fully autonomous under the supervision of operations staff. However, this shift requires an evolution of current practices and technologies. In this comprehensive guide, we present a four-stage model for embracing AIOps, going from the lowest level to the highest visionary state.
- May 2026 (5)
- April 2026 (15)
- March 2026 (3)
- February 2026 (5)
- January 2026 (1)
- December 2025 (1)
- November 2025 (3)
- October 2025 (6)
- August 2025 (8)
- July 2025 (5)
- June 2025 (2)
- May 2025 (4)
- April 2025 (3)
- January 2025 (1)
- November 2024 (1)
- October 2024 (3)
- September 2024 (7)
- August 2024 (8)
- July 2024 (1)
- June 2024 (2)
- April 2024 (3)
- March 2024 (1)
- February 2024 (1)
Selector uses artificial intelligence, machine learning, and LLM-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%.
Selector AI is the industry leading AIOps platform designed to provide instant, real-time actionable insights for managing multi-domain network and application infrastructures. By bringing together multiple sources of data into one easy to use platform, IT teams can troubleshoot network issues faster, avoid downtime, reduce MTTR and improve efficiency.
Platform Features:
- Anomaly Detection: Uncover underlying issues sooner with machine learning insight.
- Event Correlation: Identify related issues across multiple data sets to get to root cause.
- Smart Alerting: Cut through alert fatigue with automatic event prioritization.
- Selector Copilot: Leverage your collaboration tools to access analytics.
- Log Analytics: Consolidate and analyze all log data for greater insight.
- Integrations: Integrate easily with your preferred or legacy tools.
The World’s 1st Unified Monitoring and AIOps Platform.