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The latest News and Information on Observabilty for complex systems and related technologies.

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Preparing for cloud failures: Monitoring strategies for distributed hybrid infrastructure

When AWS experienced its recent outage, the ripple effect was immediate. Critical workloads slowed, dashboards went blank, and many teams realized multi-cloud isn't automatically resilient. Cloud-level failures are inevitable due to the interdependent components and complex IT architecture. The recent AWS disruption reminded many teams that the cloud isn't a magic uptime guarantee. Even the most mature providers can-and do-experience large-scale service interruptions.

AI Agents Observability with OpenTelemetry and the VictoriaMetrics Stack

Nowadays, AI agents are becoming more and more popular and often deployed as part of production systems. However, this rapid adoption brings unique observability challenges that require flexible solutions. On the one hand, AI agents are fundamentally just like any other software services that produce the same classic observability signals we’re familiar with: metrics, logs, and traces.

From Observability to Network Intelligence: How Kentik Built the Foundation for Networks That Think

The age of dashboards is ending, as observability has only created more noise for network teams to sift through. Kentik SVP of Product, Mav Turner, lays out why true network intelligence requires a clean, contextual data foundation to finally create a network that thinks.

Top Observability Tools for 2026: The Definitive Guide

As we move toward 2026, observability is evolving from an engineering luxury to an operational necessity. Modern applications span microservices, containers, APIs, and data pipelines and when something breaks, users expect instant recovery. That urgency is fueling rapid market growth. According to Market.us, the Global Data Observability Market is projected to reach several billion dollars by 2033, growing at a CAGR exceeding 20% between 2024 and 2033.

From Telemetry to Truth: Why Observability Must Be Service-Centric

Modern enterprises depend on systems that appear calm: dashboards glow, availability reads steady, and metrics suggest composure. But the signals only tell part of the story. Conversion softens at the margins, regional sign-in times drift, a compliance report misses an expected field. The puzzle isn’t visibility; it’s meaning. Components describe status; services carry outcomes.

Observability vs. Monitoring: What's the Difference?

Modern systems are complex, distributed, and fast-changing, so keeping them reliable requires more than watching dashboards. Observability vs. Monitoring explains how teams gain the deep insight needed to detect, diagnose, and resolve issues. Monitoring collects predefined metrics and alerts you to known problems, while observability provides rich, contextual telemetry to investigate unknown failures.

Coffee and Claude: How Honeycomb MCP Makes AI Work for You

If you caught our recent Introducing Honeycomb MCP: Your AI Agent’s New Superpower webinar, you know it was a lively mix of big ideas, demos, and a few laughs about the messy, fast-moving world of AI. Hosted by Austin Parker, Morgante Pell, and James Bland from AWS, the conversation explored how Honeycomb’s new Model Context Protocol (MCP) is changing the way developers and AI agents interact with data.

Observability vs. Monitoring: Key Differences Explained (2026 Guide)

People often get confused between Monitoring and Observability, using the terms interchangeably in DevOps. However, they represent two distinct yet complementary concepts that play a crucial role in ensuring application reliability and performance. As modern applications evolve, over 90% of new digital services are built using microservices and cloud-native architectures. Traditional monitoring alone can’t provide full visibility into distributed systems.

Observability 2025 Decoded: What the DZone Report Means for SLO-Driven Ops

DZone’s 2025 Intelligent Observability Trend Report captures a real inflection point: teams are shifting from “more data” to outcome-driven practices that improve resilience and accountability. The survey was gathered between August 28 and September 25, 2025, from a global pool of developers, architects, and IT professionals.