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Coralogix
coralogix. com > blog > new-explore-faster-answers-less-friction-and-a-better-way-to-investigate-your-data

New Explore: Faster answers, less friction, and a better way to investigate your data

1+ day, 6+ hour ago  (876+ words) Introducing the Coralogix CLI: Headless Observability for Every Agent. Learn more " There is a moment every engineer knows too well. Something is wrong in production. You have an alert, a vague symptom, and pressure to find the one signal that explains…...

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Zencoder
zencoder. ai > solutions > engineering-managers

Zenflow for Engineering Managers | DORA Metrics Dashboard | Zenflow

1+ day, 6+ hour ago  (279+ words) Zenflow for Engineering Managers Cycle time, deployment frequency, and investment allocation on one live dashboard, built by a Zenflow skill from the repos and trackers you already use. One trigger. The skill gathers metrics across your repos and renders the…...

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DEV Community
dev. to > tarunai > i-built-a-profiler-to-audit-my-own-ai-tool-calls-heres-what-i-learned-about-observability-128b

I Built a Profiler to Audit My Own AI Tool Calls. Here's What I Learned About Observability

16+ hour, 47+ min ago  (156+ words) I built a profiler to audit my own tool calls. After loading 157 skills in 12 days, I realized I had zero visibility into whether I was using them efficiently. So I built Agent Lens. Most AI agent demos look magical because…...

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Augment Code
augmentcode. com > tools > best-observability-platforms

8 Best Observability Platforms for 2026

1+ day, 5+ hour ago  (1336+ words) Leading observability platforms in 2026 include Datadog, Dynatrace, and Grafana Labs, each with different strengths. This guide evaluates eight platforms against a 12-criterion framework focused on Open Telemetry feature parity, cost behavior at scale, trace correlation workflows, and AI workload readiness....

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Amazon Web Services
aws. amazon. com > blogs > machine-learning > build-an-enterprise-observability-solution-for-amazon-quick

Build an enterprise observability solution for Amazon Quick

1+ day, 7+ hour ago  (711+ words) Amazon Quick is a generative AI-powered platform that brings together Spaces, Chat agents, Flows, Automate, Research, and Amazon Quick Sight business intelligence capabilities in one place. As organizations scale their Amazon Quick deployments, they need a reliable way to track…...

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Dev Ops. com
devops. com > co-developing-an-ai-native-observability-platform

Co-Developing an AI Native Observability Platform

1+ day, 15+ hour ago  (17+ words) Modern distributed hybrid enterprise environments are moving away from siloed monitoring toward AIOps platforms like Selector AI....

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DEV Community
dev. to > pedrop3 > similarity-search-for-failure-diagnosis-4h3m

Similarity Search for Failure Diagnosis

1+ day, 19+ hour ago  (510+ words) In the previous post, I showed how every saga event gets vectorized into pgvector. Now let's use that data. When a saga fails, the Operations Agent searches for similar past incidents and uses them to diagnose the current failure. The…...

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Medium
medium. com > @amir. rassafi > before-you-let-llms-help-migrate-your-observability-stack-9951216452d9

Before You Let LLMs Help Migrate Your Observability Stack

1+ day, 21+ hour ago  (1319+ words) Questions teams should ask before replacing vendor agents with Open Telemetry. Today, I want to share some lessons from migrating an "...

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DEV Community
dev. to > adiakys > one-container-to-replace-grafana-loki-tempo-prometheus-1kki

One container to replace Grafana + Loki + Tempo + Prometheus

1+ day, 22+ hour ago  (122+ words) The standard observability stack: Grafana + Loki + Tempo + Prometheus. Four services to deploy, four. .. Tagged with opensource, dotnet, docker, monitoring....

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Medium
medium. com > @niteshthakur498 > the-two-generals-problem-why-exactly-once-delivery-is-a-lie-33c7f56b7f8a

The Two Generals Problem " Why Exactly-Once Delivery Is a Lie

2+ day, 2+ hour ago  (32+ words) The fundamental impossibility. What at-least-once actually means for your consumers. The first time I configured a Kafka consumer, I "...

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