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

Get Observability in the Terminal, for You and Your Agents: gcx

May 4, 2026 By Grafana In Grafana
The way you write code is changing, which means the way you observe your systems and respond to issues needs to change, too. Engineers today spend much of their day working via command line, as agentic tools like Cursor and Claude Code have become highly effective at handling many day-to-day engineering tasks. This greatly accelerates code generation, but it doesn't solve for the context switching that comes when you have to jump into another tool that's not part of this new, faster workflow.
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lightrun

Why Does MTTD Stay High Despite Observability Tools Running?

May 4, 2026 By Lightrun Team In Lightrun
Monitoring coverage, anomaly detection, and SLO-based alerting have significantly narrowed detection windows for most failure types, but MTTD remains stubbornly high for a specific silent failure. This blog covers why type mismatches, swallowed exceptions, and values that pass validation without occurring without triggering errors, and what changes when your monitoring stack can generate those signals without waiting for a failure to surface them.
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datadog

Add dynamically updating context to logs with Reference Tables and Observability Pipelines

May 1, 2026 By Micah Kim In Datadog
Security and platform engineering teams rely on context-rich logs to investigate threats, prioritize incidents, and meet compliance requirements. Context is often stored separately from applications that generate logs, in sources like threat intelligence feeds in Snowflake, asset lists in Amazon S3, ownership data in ServiceNow CMDB, and risk scores produced in Databricks.
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chaossearch

Understanding the Three Pillars of Observability: Logs, Metrics and Traces

Apr 30, 2026 By Sandro Lima In ChaosSearch
Many people wonder what the difference is between monitoring vs. observability. While monitoring is simply watching a system, observability means truly understanding a system's state. DevOps teams leverage observability to debug their applications, or troubleshoot the root cause of system issues. Peak visibility is achieved by analyzing the three pillars of observability: Logs, metrics and traces. Depending on who you ask, some use MELT as the four pillars of essential telemetry data (or metrics, events, logs and traces) but we'll stick with the three core pillars for this piece.
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honeycomb

New in the Honeycomb Academy: Learn to Use the Honeycomb MCP

Apr 29, 2026 By Midge Pickett In Honeycomb
Two things happen when engineers first connect the Honeycomb MCP to their AI assistant. The first is the blank page problem. The Honeycomb UI gives you something to react to: a heatmap, a query builder, a trace to click into. An AI assistant gives you a cursor and nothing else. When you don't know where to start, that's a hard place to be. The second shows up right after you get past the first one. You ask a question, you get a confident-sounding answer, and you're not sure whether to trust it.
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elastic

State of Observability in Financial Services 2026: From implementation to business impact

Apr 28, 2026 By Leah McEwen In Elastic
The demands on financial services companies are intensifying rapidly. They must not only deliver seamless system performance but also control costs, secure sensitive data, and maximize the value of their observability investments. To navigate these converging pressures, leaders are evolving their approach to system monitoring and telemetry. The 2026 State of Observability in Financial Services research report reveals a fundamental shift in how organizations manage their digital infrastructure.
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coralogix

What "AI-Ready Data" actually means for observability teams

Apr 28, 2026 By Micha Duman In Coralogix
Many organizations deploying AI are learning similar lessons right now: the challenge isn’t this or that AI model, it’s the data. According to Gartner, 60% of AI projects will be abandoned by organizations because of failures to support these projects with AI-ready data. Also, 63% of organizations either lack or aren’t sure they have the right data management practices to get there.
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ScienceLogic

Service-Centric Observability as the Control Layer

Apr 28, 2026 By ScienceLogic In ScienceLogic
If distributed architectures have altered how systems degrade, then the way organizations model operational must evolve accordingly. Threshold monitoring evaluates individual metrics. Correlation clusters related alerts. Neither, on its own, explains how instability in one component alters exposure across an interconnected service landscape. In conversations at Nexus Live 2025, ScienceLogic’s annual customer conference, leaders described this distinction with clarity.
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grafana

Get observability in the terminal, for you and your agents, with the gcx CLI tool

Apr 28, 2026 By Ward Bekker In Grafana
The way you write code is changing, which means the way you observe your systems and respond to issues needs to change, too. Engineers today spend much of their day working via command line, as agentic tools like Cursor and Claude Code have become highly effective at handling many day-to-day engineering tasks. This greatly accelerates code generation, but it doesn't solve for the context switching that comes when you have to jump into another tool that's not part of this new, faster workflow.
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honeycomb

Approaching the Parhelion

Apr 27, 2026 By Austin Parker In Honeycomb
One early spring morning in 1535, the residents of Stockholm awoke to a most curious sight. Six suns lit up the sky, connected by bright halos, as immortalized in Vädersolstavlan, seen here. Today, we recognize these atmospheric effects as a parhelion (also referred to as ‘sun dogs’)—an illusion caused by light refracting off crystalline formations in the atmosphere.
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