observability

Runtime Visibility & AI-powered Security in Cloud-Native Environments
Kubernetes and cloud-native platforms have transformed software delivery — but also redefined the attack surface. As threats shift to runtime, visibility and real-time response have become the new security frontline. AI-driven anomaly ...
Alan Shimel | | AI copilot, AI governance, AI in cybersecurity, anomaly detection, automated response, CI/CD security, cloud native security, cloud security, cloud-native defense, container security, DevSecOps, explainable AI, kubernetes, LLMs in security, observability, platform engineering, runtime protection, runtime security, runtime visibility, security automation, security telemetry, service mesh, threat detection, zero-trust

DevOps in the Cloud-Native Era: The Blueprint for Blazing-Fast Software Delivery
Cloud-native and DevOps are now non-negotiable for scaling software delivery. Learn how CI/CD, IaC, GitOps, observability, and AI shape modern DevOps success ...

Service Mesh Evolution: Ambient Mode, Gateways & The Return of Simpler Architectures
Service mesh is evolving beyond sidecars. Ambient mode and Gateway APIs deliver security, observability, and traffic control with less overhead. Teams benefit from leaner, more flexible architectures ...

Bridging Observability & Security in Kubernetes: Beyond Just Metrics
Kubernetes has expanded agility but also the attack surface. Alan argues that observability and security can no longer live in silos — metrics, logs, and traces already hold critical security signals, while ...
Alan Shimel | | anomaly detection, C2 traffic, cloud native security, convergence, cross-training, crypto-mining, devops, kubernetes, lateral movement, logs, metrics, observability, observability-driven security, OpenTelemetry, organizational silos, platform engineering, runtime security, security, SRE, tool sprawl, traces

Best Practices for Monitoring Your Kubernetes Applications
Kubernetes has become the backbone of modern cloud-native applications, offering unique flexibility and scalability. However, with its complexity, there are significant challenges in maintaining visibility of the health and performance of Kubernetes ...

How AIOps Is Transforming Observability in Cloud-Native Environments
Varma Kunaparaju, Senior Vice President/GM, Cloud Platform & OpsRamp at HPE, explains how artificial intelligence for IT operations (AIOps) is transforming how observability is applied across complex cloud-native computing environments. Kunaparaju points ...

From Observability to Actionability: Why Metrics Alone Aren’t Enough
Observability has plateaued. The next step is actionable observability—using AI, automation, and SLOs to turn telemetry into reliable outcomes ...
Alan Shimel | | actionable observability, AIOps, anomaly detection, auto-remediation, cloud native, continuous verification, devops, ELK stack, golden paths, internal developer platforms, metrics logs traces, observability, OpenTelemetry, platform engineering, SLO-driven operations, SRE, telemetry automation

Cloud Native’s Two‑Headed Monster
Kubernetes brought order to containers. Observability brought clarity to complexity. Now, they’re co-leading the cloud-native movement—and redefining the CNCF ecosystem ...

Serverless Monitoring Best Practices
Serverless monitoring demands a new approach, combining structured logs, meaningful metrics and distributed traces with advanced cost controls and automation to keep applications fast, resilient and efficient ...

The Observability Evolution: How AI and Open Source are Taming Kubernetes Complexity
As Kubernetes environments grow increasingly complex, next-generation observability tools featuring intuitive dashboards, AI-driven insights, and open-source innovations are helping DevOps teams reduce complexity and democratize access across IT roles ...