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

VictoriaMetrics

Observability for LLM Apps and Agents: OpenLIT SDK + VictoriaMetrics observability stack

Jul 3, 2026 By Aman Agarwal / Roman Khavronenko In VictoriaMetrics
Many “LLM observability with OpenTelemetry” tutorials stop at a single chat.completions span. That works for a demo, but it leaves gaps once an agent fans out into 30 tool calls, two vector-DB queries, three handoffs, and a 90-second tail latency you need to attribute. This post wires the OpenLIT SDK (50+ instrumentations, OTel GenAI semantic conventions, one line of code) into the full VictoriaMetrics observability stack and shows query examples that turn agent telemetry into decisions.
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motadata

Unified Observability: Moving IT Teams from Reactive to Predictive

Jul 3, 2026 By Written by In Motadata
What does it take to stop an outage before it starts? In many cases, the warning signs are already there, scattered across different monitoring tools, which makes it difficult to see the full picture before issues escalate. When an incident occurs, engineers often spend valuable time piecing together metrics, logs, traces, and alerts to determine the root cause. Every minute spent investigating extends the outage and increases its business impact.
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How SRE Practices Improve Trust in Digital Finance and Healthcare Platforms

How SRE Practices Improve Trust in Digital Finance and Healthcare Platforms

Jul 3, 2026 By OpsMatters In OpsMatters
Trust used to be a brand problem. Now it's an uptime problem, a latency problem, a data integrity problem, and sometimes a "why is the payment button spinning again?" problem. For digital finance and healthcare platforms, users don't separate the service from the system behind it. If the app fails, the business feels careless. If records lag, confidence drops. If a transaction disappears for even a few seconds, panic arrives fast.
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honeycomb

Could vs. Should: The First Year Managing an SRE Team

Jul 2, 2026 By Reid Savage In Honeycomb
As of today, I’ve drafted this post upwards of 10 times – it’s old enough that the version I first started working on was called “Reflections on 1 Year of SRE Management” (I’m currently at 2.5 years). But everything I learned during that first year became critical for the next.
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Why Modern IT Incident Response Needs Social Sentiment Analysis

Why Modern IT Incident Response Needs Social Sentiment Analysis

Jul 2, 2026 By OpsMatters In OpsMatters
IT operations teams face an ongoing battle against alert fatigue. Despite running sophisticated telemetry and baseline Application Performance Monitoring, engineers are often bombarded with notifications that lead nowhere. Relying purely on internal dashboards creates a massive visibility gap, and when critical incidents slip through the cracks, the financial damage is swift and severe. To close this gap, DevOps professionals are increasingly looking beyond traditional server metrics and turning to a surprising source for early warning signals: public social sentiment.
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lightrun

How AI Agents Are Changing Each Agile SDLC Phase

Jul 1, 2026 By Lightrun Team In Lightrun
The Agile software development lifecycle was designed to surface problems early, with short sprints, iterative testing, and continuous integration built on the premise that faster feedback loops produce better software. AI coding tools have changed the velocity equation across every phase of that loop, but the phases designed to catch failures are struggling to keep up because build speed and validation capacity have not accelerated at the same rate, and the gap between them is widening with every sprint.
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grafana

Full-stack observability in Grafana Cloud: How to investigate issues across services and infrastructure

Jun 30, 2026 By Victor Padilla In Grafana
Many times, the hardest part of troubleshooting isn’t fixing the actual problem. It’s figuring out where to start. As engineers, it’s easy to lose count of how many times we’ve opened logs, then 10 metrics tabs, and another 10 tabs with trace queries, only to end up back in the logs trying to find a root cause.
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honeycomb

What Customers Are Doing With AI and Honeycomb

Jun 30, 2026 By Rox Williams In Honeycomb
At O11yCon, we talked to engineering teams across the industry, and the numbers are starting to get genuinely wild: Mixpanel DevOps Engineer Eddie Bracho told us their engineering team is generating 50% more PRs than before AI came into the mix (sorry). That kind of velocity is exciting, but it's also a pressure test for every part of your stack that isn't writing code, including your observability practice. Here's what we're hearing from customers about how that's playing out.
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datadog

Debug and evaluate your AI app from your coding agent with Datadog Agent Observability

Jun 30, 2026 By Michael Bevilacqua-Linn In Datadog
Coding agents like Claude Code, Cursor, and Codex CLI handle the coding parts of building an AI application well. The harder work comes after: understanding why a response went wrong, building eval sets that reflect real production behavior, and keeping up with an application that changes faster than any one-off script can. Teams spend 60–80% of their time on evaluation and error analysis, and much of that work needs to be redone every time the stack shifts.
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lightrun

New Feature: Automatic Snapshots When Latency Spikes

Jun 30, 2026 By Roi Bar In Lightrun
We’ve released an exciting new Lightrun capability: set a duration threshold on your Tic & Toc or Method Duration metrics, and Lightrun will automatically capture a snapshot whenever execution exceeds it. It takes moments to configure, and gives engineers the runtime context they need to understand why unexpected slow executions are occurring.
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