Why Observability is Critical for Modern Cloud‑Native Systems
In the future, observability will be a key factor for any organization looking to succeed with the concept of cloud native architectures ...
ControlMonkey Extends Cloud Configuration Disaster Recovery to Observability Platforms
TEL AVIV — ControlMonkey announced it has expanded its cloud configuration disaster recovery platform to include observability and monitoring platforms. The company said the update protects observability configurations across providers including Datadog, ...
groundcover Launches BYOC AI Mode to Keep Observability Data in Customer Clouds
groundcover on Tuesday announced the general availability of groundcover AI Mode, a new capability designed to help engineering teams investigate production incidents and analyze infrastructure behavior while running the AI in a ...
Best of 2025: 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. The Complexity Challenge ...
Overcoming Cloud-Native Observability Challenges: Dealing With High Data Volume and Dynamic Environments
In today’s fast-paced digital world, companies are increasingly relying on cloud-based architectures to deliver flexible and scalable applications. However, with this transformation comes a complex challenge: Monitoring and managing these highly dynamic ...
Cost-Aware Observability on K8s: Balancing Scrape Intervals, Retention and Cardinality
Learn how to optimize Kubernetes observability with cost-efficient scrape intervals, retention policies and cardinality control using Prometheus, Thanos and Cortex ...
Neel Shah | | cloud-native observability, Cortex long-term storage, cost-aware Kubernetes observability, efficient metric storage, high cardinality metrics, Kubernetes cost optimization, Kubernetes logging and tracing, Kubernetes metrics management, Kubernetes monitoring optimization, Kubernetes performance monitoring, Kubernetes SRE practices, low-cost monitoring, metric cardinality reduction, metric retention policies, observability best practices, Prometheus cost control, Prometheus relabel configs, Prometheus scrape intervals, scrape interval tuning, Thanos downsampling
Observability for Microservices vs Monoliths: Strategies that Worked in 2025
Learn how observability strategies differ between monolithic and microservice architectures. Explore challenges, best practices and tooling for DevOps and SRE teams in 2025 ...
Neel Shah | | AI-driven observability, centralized logging, DevOps observability strategies, distributed tracing, dynamic infrastructure observability, Grafana Honeycomb Middleware, microservices monitoring, microservices vs monoliths, monolith performance monitoring, observability, observability tools 2025, OpenTelemetry, scalable telemetry ingestion, service metrics, smart alerting, SRE best practices, telemetry data, tracing context propagation
Guided Observability: Faster Resolution Through Context and Collaboration
Cloud native has increased in complexity, producing massive volumes of telemetry that are costly to store and hard to use. Guided Observability is emerging as a practice to help teams cut through the ...
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
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 ...

