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AIOps & Network Observability

AIOps and network observability: NOC practice, event correlation, outage detection, network digital twins and the platforms behind them.

77stories in the archive
5 up from 3last 7 days · 3 the 7 before
14last 30 days
Jun 11first covered · 2026

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  1. Cisco ThousandEyes · Sep 30, 2026 · Primary source

    ThousandEyes adds agent-driven investigation and recommended remediation actions

    Cisco ThousandEyes released Actions, bringing together correlated incidents, agent-driven investigation and Deep Reasoning, recommended actions, and visibility into the evidence behind each conclusion. The experience-first approach uses degradation in the Wireless Successful Connections Experience Metric to identify when user experience is being affected for supported wireless incidents.

    Why it matters Transitions ThousandEyes from alert-centric to action-centric incident response, enabling correlated investigation and validated recommendations for network operations teams through agentic automation.

    Oct 5, 2026 edition

  2. LogicMonitor platform page · Sep 30, 2026 · Primary source

    LogicMonitor claims 80% alert noise cut with agentic AIOps

    LogicMonitor's LM Envision platform helps IT teams eliminate alert storms, enrich events with AI context, and automate issue resolution, claiming 65% faster incident resolution and 80% reduction in alert noise. Platform unifies network, infrastructure, and cloud observability with embedded agentic AIOps.

    Why it matters Cloud monitoring delivers more value when environments share the same observability context, giving teams clearer troubleshooting, cost management, and support for AI-assisted operations—critical for hybrid NOC consolidation.

    Oct 3, 2026 edition

  3. OpenTelemetry · Sep 25, 2026 · Primary source

    OpenTelemetry maps its instrumentation ecosystem from SDKs to Collector

    OpenTelemetry blog post documenting the components and breadth of OTel instrumentation: APIs, SDKs, semantic conventions, the OTLP protocol, and tools like the Collector. Explains how instrumentation actually observes system behavior in production.

    Why it matters Network ops engineers choosing OTel for network telemetry need to understand which instrumentation layer (automatic vs. manual, agent vs. collector gateway) fits their NOC observability strategy.

    Oct 2, 2026 edition

  4. AWS News Blog · Sep 25, 2026 · Vendor release

    AWS adds AI investigation for CloudTrail and journald log collection

    AWS announced new observability capabilities: AI-powered investigation for CloudTrail, native journald log collection, new pipeline processors for GeoIP and RDS, and OpenTelemetry-based telemetry expansion across services (HealthOmics, WorkSpaces, MSK). CloudWatch Container Insights now supports fractional GPU scheduling.

    Why it matters Network ops teams using AWS for hybrid networks and multi-cloud need visibility into how AWS is embedding OTel natively and expanding CloudTrail/CloudWatch signal collection—key for correlated incident investigation across infrastructure layers.

    Oct 2, 2026 edition

  5. Forward Networks press release · Sep 29, 2026 · Primary source

    Forward Networks ships digital twin pre-change validation

    Forward Networks announced general availability of Forward Predict, a capability that validates proposed network changes against a mathematically accurate digital twin before production deployment. Early customers in financial services, media, and tech have used it to reduce change risk and accelerate delivery.

    Why it matters Operationalizes network digital twins for change validation and autonomous networking with deterministic evidence—eliminating the gap between AI speed and operational safety in network operations.

    Oct 1, 2026 edition

  6. Datadog Events · Sep 23, 2026 · Vendor release

    Datadog summit gathers teams running AI systems in production

    Datadog hosted a one-day summit in San Francisco featuring speakers from Anthropic, Riot Games, Figma, and Cognition discussing how to scale observability end-to-end and operate AI systems in production.

    Why it matters Reflects market consensus on observability's critical role in AI operations; provides practitioners with real-world case studies on instrumenting agentic workflows and managing AI-driven infrastructure complexity at scale.

    Sep 26, 2026 edition

  7. IJSRET · Sep 24, 2026 · Research

    AI-Powered Observability in Cloud-Native DevOps: LSTM-Based Anomaly Detection for Kubernetes Microservices

    Researchers introduce an LSTM autoencoder-based AI observability framework integrated with Prometheus-Grafana for anomaly detection in Kubernetes microservice environments, addressing the gap where traditional rule-based monitoring is insufficient for modern cloud-native architectures.

    Sep 24, 2026 edition

  8. NETSCOUT · Sep 23, 2026 · Industry news

    NETSCOUT Named Leader in GigaOm 2026 Network Observability Radar for AI-Driven Enterprise Networks

    NETSCOUT achieved leader and outperformer status in the 2026 GigaOm Radar for Network Observability, recognized for maturity and platform play functionality delivering results for enterprises with complex networks. The leadership position reflects end-to-end visibility architecture and native AI integration across the solution set.

    Sep 23, 2026 edition

  9. ServiceNow Community · Sep 17, 2026

    ServiceNow AI Control Tower August & September 2026 Release: New Observability and Governance Features

    ServiceNow released major updates to AI Control Tower for August and September 2026, introducing expanded observability into AI agent behavior at runtime, enhanced governance across all AI asset types, and real-time visibility into how agents reason and make decisions. The update integrates Traceloop acquisition to deliver continuous AI agent monitoring.

    Sep 19, 2026 edition

  10. Business Wire · Sep 15, 2026

    Exaforce Expands Beyond the SOC Into AI Security: Runtime Visibility and Control of AI Agents and Applications

    Exaforce expanded its AI security platform beyond traditional SOC operations to cover runtime visibility and control of AI agents and applications. The platform introduces agentless discovery, threat containment, usage monitoring, and an agent kill switch, extending earlier Claude Compliance API integration to support OpenAI, Gemini, and Microsoft Copilot models.

    Sep 18, 2026 edition

Coverage history

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