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    <title>Observability guides · The Tech Gazette</title>
    <link>https://techgazette.com.br/learn/observability/</link>
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    <description>New guides on observability, by the people who build it. Traces, metrics, logs and alerts.</description>
    <language>en</language>
    <ttl>180</ttl>
    <lastBuildDate>Tue, 13 Oct 2026 19:56:00 GMT</lastBuildDate>
    <item>
      <title>Improving Deep Agents with harness engineering</title>
      <link>https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering</link>
      <guid isPermaLink="true">https://www.langchain.com/blog/improving-deep-agents-with-harness-engineering</guid>
      <pubDate>Tue, 13 Oct 2026 19:56:00 GMT</pubDate>
      <dc:creator>LangChain</dc:creator>
      <category>Observability</category>
      <description>LangChain — Harness engineering improved LangChain's coding agent from Top 30 to Top 5 on Terminal Bench using self-verification, tracing, and context optimization.</description>
    </item>
    <item>
      <title>EU AI Act compliance for AI agents: a practical engineering guide</title>
      <link>https://arize.com/blog/eu-ai-act-compliance-ai-agents/</link>
      <guid isPermaLink="true">https://arize.com/blog/eu-ai-act-compliance-ai-agents/</guid>
      <pubDate>Tue, 13 Oct 2026 16:00:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Observability</category>
      <description>Arize — Learn how agent traces, human oversight, production evaluations, and log retention support EU AI Act compliance with a practical credit-assistant example. The post EU AI Act compliance for AI agents: a practical engineer…</description>
    </item>
    <item>
      <title>Monitor Amazon Aurora DSQL costs with the Aurora DSQL console and CloudWatch alarms</title>
      <link>https://aws.amazon.com/blogs/database/monitor-amazon-aurora-dsql-costs-with-the-aurora-dsql-console-and-cloudwatch-alarms/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/database/monitor-amazon-aurora-dsql-costs-with-the-aurora-dsql-console-and-cloudwatch-alarms/</guid>
      <pubDate>Tue, 13 Oct 2026 15:28:00 GMT</pubDate>
      <dc:creator>AWS Databases</dc:creator>
      <category>Observability</category>
      <description>AWS Databases — As your Amazon Aurora DSQL workload scales, DPU consumption and storage costs can grow without a fixed instance ceiling. This post shows how to monitor Aurora DSQL usage and cost with the built-in Usage and cost panel, s…</description>
    </item>
    <item>
      <title>CI/CD Pipeline Observability Tools: How to Choose the Right Setup</title>
      <link>https://blog.jetbrains.com/teamcity/2026/10/cicd-pipeline-observability-tools/</link>
      <guid isPermaLink="true">https://blog.jetbrains.com/teamcity/2026/10/cicd-pipeline-observability-tools/</guid>
      <pubDate>Tue, 13 Oct 2026 11:28:00 GMT</pubDate>
      <dc:creator>JetBrains</dc:creator>
      <category>Observability</category>
      <description>JetBrains — When a CI/CD pipeline fails, its dashboard can usually show you what went wrong. Pipeline observability tools should help you understand why, whether the cause is a flaky test, an overloaded build agent, or a problem els…</description>
    </item>
    <item>
      <title>Inside Razorpay’s RTO Model: The Engineering Behind its ML Lifecycle</title>
      <link>https://engineering.razorpay.com/inside-razorpays-rto-model-the-engineering-behind-its-ml-lifecycle-999fe75e66ec?source=rss----6407ad2e59af---4</link>
      <guid isPermaLink="true">https://engineering.razorpay.com/inside-razorpays-rto-model-the-engineering-behind-its-ml-lifecycle-999fe75e66ec?source=rss----6407ad2e59af---4</guid>
      <pubDate>Tue, 13 Oct 2026 10:00:00 GMT</pubDate>
      <dc:creator>Razorpay Engineering</dc:creator>
      <category>Observability</category>
      <description>Razorpay Engineering — Contributor: Abhik Debnath In this article, we use Razorpay’s Return to Origin (RTO) risk model to explain the ML lifecycle: how we build a reproducible release, deploy it into checkout, monitor its behaviour, and use la…</description>
    </item>
    <item>
      <title>How Datadog defines service criticality at scale</title>
      <link>https://www.datadoghq.com/blog/how-datadog-defines-service-criticality-at-scale/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/how-datadog-defines-service-criticality-at-scale/</guid>
      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how Datadog classifies internal services by criticality using incident history, APM traces, monitor data, and traffic signals.</description>
    </item>
    <item>
      <title>Seven years of IPv6 in production: Lessons from one million broadband subscribers</title>
      <link>https://blog.apnic.net/2026/10/12/seven-years-of-ipv6-in-production-lessons-from-one-million-broadband-subscribers/</link>
      <guid isPermaLink="true">https://blog.apnic.net/2026/10/12/seven-years-of-ipv6-in-production-lessons-from-one-million-broadband-subscribers/</guid>
      <pubDate>Sun, 11 Oct 2026 23:07:00 GMT</pubDate>
      <dc:creator>APNIC Blog</dc:creator>
      <category>Observability</category>
      <description>APNIC Blog — Guest Post: IPv6 deployment is often described as a protocol upgrade. In reality, operating IPv6 at broadband scale is a test of subscriber management, DHCP, CPE interoperability, observability, and operational processes…</description>
    </item>
    <item>
      <title>OTel-Native by Design - Building Products That Export to Any Observability Stack</title>
      <link>https://opentelemetry.io/blog/2026/otel-native-by-design/</link>
      <guid isPermaLink="true">https://opentelemetry.io/blog/2026/otel-native-by-design/</guid>
      <pubDate>Fri, 09 Oct 2026 15:50:00 GMT</pubDate>
      <dc:creator>OpenTelemetry</dc:creator>
      <category>Observability</category>
      <description>OpenTelemetry — With contributions from Dan Gomez Blanco (New Relic). If you&amp;rsquo;re building self-hosted software or a SaaS product, your users will eventually ask to send logs, traces, and metrics to their own observability stack, wh…</description>
    </item>
    <item>
      <title>How New Relic engineers reliability at scale</title>
      <link>https://newrelic.com/blog/observability/engineer-reliability-at-scale</link>
      <guid isPermaLink="true">https://newrelic.com/blog/observability/engineer-reliability-at-scale</guid>
      <pubDate>Fri, 09 Oct 2026 12:00:00 GMT</pubDate>
      <dc:creator>New Relic</dc:creator>
      <category>Observability</category>
      <description>New Relic — Learn how New Relicengineers reliability at scale with telemetry, resilient architecture, and automation to detect, contain and respond to failure.</description>
    </item>
    <item>
      <title>Part 5: Operating an LLM system: observability, cost, routing, and the platform underneath</title>
      <link>https://stackoverflow.blog/2026/10/08/part-5-operating-an-llm-system-observability-cost-routing-and-the-platform-underneath/</link>
      <guid isPermaLink="true">https://stackoverflow.blog/2026/10/08/part-5-operating-an-llm-system-observability-cost-routing-and-the-platform-underneath/</guid>
      <pubDate>Thu, 08 Oct 2026 20:08:00 GMT</pubDate>
      <dc:creator>Stack Overflow Blog</dc:creator>
      <category>Observability</category>
      <description>Stack Overflow Blog — Your service can be 100% up and still quietly approving the wrong things, burning its budget, or failing over into untested quality. Level 5 is the infrastructure that lets you see your decisions, bound your spend, route…</description>
    </item>
    <item>
      <title>Build, Deploy &amp; Monitor AI Agents with Astropods</title>
      <link>https://blog.postman.com/build-ai-agents-with-astropods/</link>
      <guid isPermaLink="true">https://blog.postman.com/build-ai-agents-with-astropods/</guid>
      <pubDate>Wed, 07 Oct 2026 14:32:00 GMT</pubDate>
      <dc:creator>Postman</dc:creator>
      <category>Observability</category>
      <description>Postman — Learn how to build, deploy, and monitor AI agents with Astropods, from local project to production. Start with the Postman AI stack today. The post Build, Deploy &amp; Monitor AI Agents with Astropods appeared first on Postm…</description>
    </item>
    <item>
      <title>OpenTelemetry Collector Configuration for LLM Observability</title>
      <link>https://www.honeycomb.io/blog/otel-collector-llm-observability</link>
      <guid isPermaLink="true">https://www.honeycomb.io/blog/otel-collector-llm-observability</guid>
      <pubDate>Wed, 07 Oct 2026 13:00:00 GMT</pubDate>
      <dc:creator>Honeycomb</dc:creator>
      <category>Observability</category>
      <description>Honeycomb — A complete, annotated OpenTelemetry Collector configuration for LLM observability: receiving traces over OTLP, normalizing OpenInference/OpenLLMetry schemas onto GenAI semantic conventions, redacting sensitive prompt and…</description>
    </item>
    <item>
      <title>Monitoring MWAA-orchestrated ETL pipelines with Amazon OpenSearch Service</title>
      <link>https://aws.amazon.com/blogs/big-data/monitoring-mwaa-orchestrated-etl-pipelines-with-amazon-opensearch-service/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/big-data/monitoring-mwaa-orchestrated-etl-pipelines-with-amazon-opensearch-service/</guid>
      <pubDate>Tue, 06 Oct 2026 16:17:00 GMT</pubDate>
      <dc:creator>AWS Big Data</dc:creator>
      <category>Observability</category>
      <description>AWS Big Data — Troubleshooting a multi-service, MWAA-orchestrated ETL pipeline often means hunting across scattered Amazon CloudWatch log groups. This post shows how to centralize your ETL logs in Amazon OpenSearch Service and query th…</description>
    </item>
    <item>
      <title>What agent traces can tell you without an LLM judge</title>
      <link>https://arize.com/blog/agent-traces-without-llm-judge/</link>
      <guid isPermaLink="true">https://arize.com/blog/agent-traces-without-llm-judge/</guid>
      <pubDate>Tue, 06 Oct 2026 14:00:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Observability</category>
      <description>Arize — Some agent failures are already in the trace. tracelint proves them on Phoenix OpenInference spans and fails CI, without an LLM judge. The post What agent traces can tell you without an LLM judge appeared first on Arize…</description>
    </item>
    <item>
      <title>How we benchmark AI agents and tools with Harbor and Arize Phoenix</title>
      <link>https://arize.com/blog/ai-agent-benchmarking-harbor-arize-phoenix/</link>
      <guid isPermaLink="true">https://arize.com/blog/ai-agent-benchmarking-harbor-arize-phoenix/</guid>
      <pubDate>Mon, 05 Oct 2026 14:19:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Observability</category>
      <description>Arize — See how Arize uses Harbor and Phoenix to benchmark AI agents, MCP servers, skills, and CLIs in reproducible sandboxes, then inspect traces and annotations. The post How we benchmark AI agents and tools with Harbor and Ar…</description>
    </item>
    <item>
      <title>Process and route critical security logs to Exabeam with Observability Pipelines</title>
      <link>https://www.datadoghq.com/blog/observability-pipelines-exabeam-packs/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/observability-pipelines-exabeam-packs/</guid>
      <pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how Observability Pipelines Packs reduce security log volume before data reaches Exabeam while preserving parser compatibility.</description>
    </item>
    <item>
      <title>Machine Learning Pipeline Architecture: Components and Control Points</title>
      <link>https://launchdarkly.com/blog/machine-learning-pipeline-architecture/</link>
      <guid isPermaLink="true">https://launchdarkly.com/blog/machine-learning-pipeline-architecture/</guid>
      <pubDate>Sat, 03 Oct 2026 14:02:00 GMT</pubDate>
      <dc:creator>LaunchDarkly</dc:creator>
      <category>Observability</category>
      <description>LaunchDarkly — Learn how machine learning pipeline architecture connects data validation, feature engineering, training, deployment, guarded rollouts, and monitoring.</description>
    </item>
    <item>
      <title>Prompt caching benchmark: high cache reuse doesn’t always mean lower cost</title>
      <link>https://arize.com/blog/prompt-caching-benchmark/</link>
      <guid isPermaLink="true">https://arize.com/blog/prompt-caching-benchmark/</guid>
      <pubDate>Fri, 02 Oct 2026 18:01:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Observability</category>
      <description>Arize — We benchmarked prompt caching across DeepSeek, GLM, GPT, and Claude using Harbor evals and Phoenix traces, so we could compare cache reuse, estimated cost, and latency on the same multi-turn shopping assistant agent. The…</description>
    </item>
    <item>
      <title>Cloudflare’s eBPF Replatforming Part 4: Observability, Operations, and Reliability Improvements from eBPF</title>
      <link>https://ebpf.io/blog/cloudflare-replatforming-4</link>
      <guid isPermaLink="true">https://ebpf.io/blog/cloudflare-replatforming-4</guid>
      <pubDate>Fri, 02 Oct 2026 17:00:00 GMT</pubDate>
      <dc:creator>eBPF Foundation</dc:creator>
      <category>Observability</category>
      <description>eBPF Foundation — The fourth instalment chronicling Cloudflare’s journey with eBPF, looking at how eBPF improved observability, incident response, and fleet security.</description>
    </item>
    <item>
      <title>Closed-loop incident response: connect AWS DevOps Agent to OpenSearch</title>
      <link>https://aws.amazon.com/blogs/devops/closed-loop-incident-response-connect-aws-devops-agent-to-opensearch/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/devops/closed-loop-incident-response-connect-aws-devops-agent-to-opensearch/</guid>
      <pubDate>Fri, 02 Oct 2026 15:24:00 GMT</pubDate>
      <dc:creator>AWS DevOps</dc:creator>
      <category>Observability</category>
      <description>AWS DevOps — Connect AWS DevOps Agent to your Amazon OpenSearch Service observability data using the Model Context Protocol (MCP), so an alert that fires at 2 AM triggers autonomous root cause investigation. Covers three MCP server h…</description>
    </item>
    <item>
      <title>Claude’s hillclimb loop for AI agents: start with production traces</title>
      <link>https://arize.com/blog/claude-hillclimb-production-traces/</link>
      <guid isPermaLink="true">https://arize.com/blog/claude-hillclimb-production-traces/</guid>
      <pubDate>Fri, 02 Oct 2026 13:30:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Observability</category>
      <description>Arize — Anthropic's Claude hillclimb loop designs evals and improves agents one change at a time. Here's how to run that loop against production traces in Arize AX. The post Claude’s hillclimb loop for AI agents: start with prod…</description>
    </item>
    <item>
      <title>Key metrics for monitoring Databricks</title>
      <link>https://www.datadoghq.com/blog/key-metrics-for-databricks-monitoring/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/key-metrics-for-databricks-monitoring/</guid>
      <pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn about key metrics for monitoring the health, performance, and costs of Databricks data engineering, analytics, and Model Serving workloads.</description>
    </item>
    <item>
      <title>Monitor Databricks with Datadog</title>
      <link>https://www.datadoghq.com/blog/how-to-monitor-databricks-with-datadog/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/how-to-monitor-databricks-with-datadog/</guid>
      <pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how to monitor the performance, data quality, and costs of your Databricks analytics and AI/ML workloads with Datadog.</description>
    </item>
    <item>
      <title>Databricks’ native monitoring resources</title>
      <link>https://www.datadoghq.com/blog/databricks-native-monitoring-resources/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/databricks-native-monitoring-resources/</guid>
      <pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how to collect Databricks and Spark telemetry with system tables, the Databricks and Spark UIs, job notifications, and the Databricks REST API.</description>
    </item>
    <item>
      <title>Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows</title>
      <link>https://aws.amazon.com/blogs/machine-learning/building-ambient-agents-with-amazon-bedrock-agentcore-from-event-driven-signals-to-human-in-the-loop-workflows/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/building-ambient-agents-with-amazon-bedrock-agentcore-from-event-driven-signals-to-human-in-the-loop-workflows/</guid>
      <pubDate>Thu, 01 Oct 2026 16:40:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Observability</category>
      <description>AWS Machine Learning — Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore u…</description>
    </item>
    <item>
      <title>How LinkedIn extended ClickHouse from distributed tracing to metric discovery and analytics</title>
      <link>https://clickhouse.com/blog/linkedin-observability-at-scale</link>
      <guid isPermaLink="true">https://clickhouse.com/blog/linkedin-observability-at-scale</guid>
      <pubDate>Thu, 01 Oct 2026 15:50:00 GMT</pubDate>
      <dc:creator>ClickHouse</dc:creator>
      <category>Observability</category>
      <description>ClickHouse — LinkedIn expanded its ClickHouse observability stack from distributed tracing to metric discovery and analytics, consolidating 13B+ metrics into one index serving 150k+ queries per minute.</description>
    </item>
    <item>
      <title>Building production agents: the observability layer</title>
      <link>https://pydantic.dev/articles/agent-observability-layer</link>
      <guid isPermaLink="true">https://pydantic.dev/articles/agent-observability-layer</guid>
      <pubDate>Thu, 01 Oct 2026 09:00:00 GMT</pubDate>
      <dc:creator>Pydantic</dc:creator>
      <category>Observability</category>
      <description>Pydantic — Agents are still software, but traditional monitoring can't see what they actually do. A practitioner's case for treating observability as a first-class layer, and how we do it with Logfire.</description>
    </item>
    <item>
      <title>Best practices for writing AWS DevOps Agent Skills</title>
      <link>https://aws.amazon.com/blogs/mt/best-practices-for-writing-aws-devops-agent-skills/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/mt/best-practices-for-writing-aws-devops-agent-skills/</guid>
      <pubDate>Thu, 01 Oct 2026 00:25:00 GMT</pubDate>
      <dc:creator>AWS Cloud Operations</dc:creator>
      <category>Observability</category>
      <description>AWS Cloud Operations — When an incident hits at 2 AM, the on-call engineer’s effectiveness depends on what they know about the system, which metrics to check first, what “normal” looks like for this service, and where to find the deployment hi…</description>
    </item>
    <item>
      <title>Monitor warehouse data quality beyond pipeline health</title>
      <link>https://www.datadoghq.com/blog/monitor-warehouse-data-quality-beyond-pipeline-health/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/monitor-warehouse-data-quality-beyond-pipeline-health/</guid>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how to monitor warehouse data quality at rest, detect issues that happen even when pipelines succeed, and trace issues to their source.</description>
    </item>
    <item>
      <title>Multi-Tenant GPU Isolation: What Dedicated GPU Covers, and What It Doesn't</title>
      <link>https://www.digitalocean.com/community/tutorials/multi-tenant-gpu-isolation</link>
      <guid isPermaLink="true">https://www.digitalocean.com/community/tutorials/multi-tenant-gpu-isolation</guid>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
      <dc:creator>DigitalOcean Tutorials</dc:creator>
      <category>Observability</category>
      <description>DigitalOcean Tutorials — Multi-tenant GPU isolation, measured on an H100 Droplet: which of 7 serving layers 'dedicated' covers, which it doesn't, and how to read it off telemetry.</description>
    </item>
    <item>
      <title>Tracing Agent Harness Behavior with NVIDIA NeMo Relay</title>
      <link>https://developer.nvidia.com/blog/tracing-agent-harness-behavior-with-nvidia-nemo-relay/</link>
      <guid isPermaLink="true">https://developer.nvidia.com/blog/tracing-agent-harness-behavior-with-nvidia-nemo-relay/</guid>
      <pubDate>Wed, 30 Sep 2026 16:00:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Observability</category>
      <description>NVIDIA Developer — An agent can finish a task and still take an inefficient path. A failed search can trigger another search. A truncated file read can lead to a command fetching...</description>
    </item>
    <item>
      <title>Building production-ready AI agents with Atlas Agent Engine and Arize AX</title>
      <link>https://arize.com/blog/using-arize-ax-with-mongodb-atlas-agent-engine/</link>
      <guid isPermaLink="true">https://arize.com/blog/using-arize-ax-with-mongodb-atlas-agent-engine/</guid>
      <pubDate>Wed, 30 Sep 2026 15:00:00 GMT</pubDate>
      <dc:creator>Arize</dc:creator>
      <category>Observability</category>
      <description>Arize — Agents built and deployed on MongoDB’s Atlas Agent Engine can export OpenTelemetry traces to Arize AX, where teams can inspect each run, evaluate both the outcome and execution path, and test fixes before redeploying. Th…</description>
    </item>
    <item>
      <title>From 40 seconds to under 10: rebuilding incident detection on OpenTelemetry, Apache Kafka, and Apache Flink on Kubernetes</title>
      <link>https://www.cncf.io/blog/2026/09/30/from-40-seconds-to-under-10-rebuilding-incident-detection-on-opentelemetry-apache-kafka-and-apache-flink-on-kubernetes/</link>
      <guid isPermaLink="true">https://www.cncf.io/blog/2026/09/30/from-40-seconds-to-under-10-rebuilding-incident-detection-on-opentelemetry-apache-kafka-and-apache-flink-on-kubernetes/</guid>
      <pubDate>Wed, 30 Sep 2026 11:00:00 GMT</pubDate>
      <dc:creator>CNCF</dc:creator>
      <category>Observability</category>
      <description>CNCF — Every SaaS company has the same uncomfortable question after a major incident: who noticed first, the monitoring or the customers? For a long time our honest answer was “it depends”. This post describes how a small...</description>
    </item>
    <item>
      <title>Debugging production from your editor with the Logfire MCP server</title>
      <link>https://pydantic.dev/articles/debugging-production-with-logfire-mcp-and-cursor</link>
      <guid isPermaLink="true">https://pydantic.dev/articles/debugging-production-with-logfire-mcp-and-cursor</guid>
      <pubDate>Wed, 30 Sep 2026 09:00:00 GMT</pubDate>
      <dc:creator>Pydantic</dc:creator>
      <category>Observability</category>
      <description>Pydantic — Connect Pydantic Logfire's MCP server to Cursor, Claude Code, or Codex and let your coding agent query real production traces, then build the dashboard and the alert that catch the next one.</description>
    </item>
    <item>
      <title>OpenTelemetry as an Enterprise Data Asset | Snowflake</title>
      <link>https://www.snowflake.com/content/snowflake-site/global/en/blog/opentelemetry-enterprise-data-asset</link>
      <guid isPermaLink="true">https://www.snowflake.com/content/snowflake-site/global/en/blog/opentelemetry-enterprise-data-asset</guid>
      <pubDate>Tue, 29 Sep 2026 19:58:00 GMT</pubDate>
      <dc:creator>Snowflake</dc:creator>
      <category>Observability</category>
      <description>Snowflake — Learn how to turn telemetry into a governed enterprise data asset. See how Observe by Snowflake and the Snowflake AI Data Cloud help teams connect operational signals with business context for analytics and AI.</description>
    </item>
    <item>
      <title>Automate RCA across ServiceNow, Dynatrace and Slack with AWS DevOps Agent</title>
      <link>https://aws.amazon.com/blogs/mt/automate-rca-across-servicenow-dynatrace-and-slack-with-aws-devops-agent/</link>
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      <pubDate>Tue, 29 Sep 2026 19:37:00 GMT</pubDate>
      <dc:creator>AWS Cloud Operations</dc:creator>
      <category>Observability</category>
      <description>AWS Cloud Operations — If you manage production incidents, you know the drill. A ServiceNow ticket fires at 2 AM. The on-call engineer wakes up, logs in to Dynatrace, pulls traces and metrics across multiple dashboards, cross-references change…</description>
    </item>
    <item>
      <title>Managed Cloud Prometheus Monitoring</title>
      <link>https://qdrant.tech/documentation/production-operations/managed-cloud-prometheus/</link>
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      <pubDate>Tue, 29 Sep 2026 08:00:00 GMT</pubDate>
      <dc:creator>Qdrant</dc:creator>
      <category>Observability</category>
      <description>Qdrant — Monitoring Managed Cloud with Prometheus and Grafana This tutorial will guide you through the process of setting up Prometheus and Grafana to monitor Qdrant databases running in Qdrant Managed Cloud. Prerequisites This t…</description>
    </item>
    <item>
      <title>How Property Finder automated incident management with AWS DevOps Agent</title>
      <link>https://aws.amazon.com/blogs/devops/how-property-finder-automated-incident-management-with-aws-devops-agent/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/devops/how-property-finder-automated-incident-management-with-aws-devops-agent/</guid>
      <pubDate>Mon, 28 Sep 2026 19:03:00 GMT</pubDate>
      <dc:creator>AWS DevOps</dc:creator>
      <category>Observability</category>
      <description>AWS DevOps — Property Finder built end-to-end autonomous incident management with AWS DevOps Agent. The full lifecycle, from alert to root cause analysis, Jira ticket, on-call page, and an auto-remediation pull request, completes in…</description>
    </item>
    <item>
      <title>Implementing synthetic monitoring using Amazon Nova Act</title>
      <link>https://aws.amazon.com/blogs/machine-learning/implementing-synthetic-monitoring-using-amazon-nova-act/</link>
      <guid isPermaLink="true">https://aws.amazon.com/blogs/machine-learning/implementing-synthetic-monitoring-using-amazon-nova-act/</guid>
      <pubDate>Mon, 28 Sep 2026 15:56:00 GMT</pubDate>
      <dc:creator>AWS Machine Learning</dc:creator>
      <category>Observability</category>
      <description>AWS Machine Learning — Learn an agent-driven approach to synthetic monitoring using Amazon Nova Act and Amazon Bedrock AgentCore. The post covers the architecture and patterns for resilient, managed user-journey validation that moves beyond br…</description>
    </item>
    <item>
      <title>NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring</title>
      <link>https://developer.nvidia.com/blog/nvidia-open-agent-safety-platform-a-reference-for-continuous-in-silicon-agent-monitoring/</link>
      <guid isPermaLink="true">https://developer.nvidia.com/blog/nvidia-open-agent-safety-platform-a-reference-for-continuous-in-silicon-agent-monitoring/</guid>
      <pubDate>Mon, 28 Sep 2026 08:56:00 GMT</pubDate>
      <dc:creator>NVIDIA Developer</dc:creator>
      <category>Observability</category>
      <description>NVIDIA Developer — To understand where agentic AI stands today, consider the last seismic shift in technology: the rise of the internet in the 90s. It was new and full of...</description>
    </item>
    <item>
      <title>Monitoring Valkey with Prometheus</title>
      <link>https://valkey.io/blog/monitoring-valkey-with-prometheus/</link>
      <guid isPermaLink="true">https://valkey.io/blog/monitoring-valkey-with-prometheus/</guid>
      <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Valkey</dc:creator>
      <category>Observability</category>
      <description>Valkey — Imagine this: your application is running fine, until one day, out of the blue, requests start timing out. The only thing you know for certain is that you implemented Valkey to be somewhere in the request path. Is it mem…</description>
    </item>
    <item>
      <title>Monitoring Iceberg Table Health with Metrics Reports and Metadata Tables</title>
      <link>https://www.dremio.com/blog/monitoring-iceberg-table-health-with-metrics-reports-and-metadata-tables/</link>
      <guid isPermaLink="true">https://www.dremio.com/blog/monitoring-iceberg-table-health-with-metrics-reports-and-metadata-tables/</guid>
      <pubDate>Fri, 25 Sep 2026 12:43:00 GMT</pubDate>
      <dc:creator>Dremio</dc:creator>
      <category>Observability</category>
      <description>Dremio — Build Iceberg observability with ScanReport, CommitReport, REST metrics, metadata-table queries, SLOs, alerts, and a practical health dashboard. The post Monitoring Iceberg Table Health with Metrics Reports and Metadata…</description>
    </item>
    <item>
      <title>Exploring the OpenTelemetry Instrumentation Ecosystem</title>
      <link>https://opentelemetry.io/blog/2026/exploring-instrumentation-ecosystem/</link>
      <guid isPermaLink="true">https://opentelemetry.io/blog/2026/exploring-instrumentation-ecosystem/</guid>
      <pubDate>Fri, 25 Sep 2026 11:24:00 GMT</pubDate>
      <dc:creator>OpenTelemetry</dc:creator>
      <category>Observability</category>
      <description>OpenTelemetry — OpenTelemetry has a lot of pieces: APIs, SDKs, a protocol, semantic conventions, instrumentation, and tools like the Collector. The APIs and protocol define how telemetry is created and exchanged, while instrumentation i…</description>
    </item>
    <item>
      <title>What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior</title>
      <link>https://grafana.com/blog/what-if-your-agent-s-hallucinations-had-a-budget-how-to-start-using-slos-for-agent-behavior/</link>
      <guid isPermaLink="true">https://grafana.com/blog/what-if-your-agent-s-hallucinations-had-a-budget-how-to-start-using-slos-for-agent-behavior/</guid>
      <pubDate>Thu, 24 Sep 2026 17:14:00 GMT</pubDate>
      <dc:creator>Grafana Labs</dc:creator>
      <category>Observability</category>
      <description>Grafana Labs — At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can rea…</description>
    </item>
    <item>
      <title>Using TypeSafe’s Jev for evals in Datadog Agent Observability</title>
      <link>https://www.datadoghq.com/blog/jev-evals-agent-observability/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/jev-evals-agent-observability/</guid>
      <pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — See how we wired Jev into online evals on live spans and offline evals inside Datadog experiments, using a single rubric for both.</description>
    </item>
    <item>
      <title>How to Test and Fix Voice AI Agent Prompts with Twilio Conversation Relay and Cekura</title>
      <link>https://www.twilio.com/en-us/blog/developers/tutorials/integrations/test-voice-agent-cekura-conversation-relay</link>
      <guid isPermaLink="true">https://www.twilio.com/en-us/blog/developers/tutorials/integrations/test-voice-agent-cekura-conversation-relay</guid>
      <pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Twilio</dc:creator>
      <category>Observability</category>
      <description>Twilio — Build and test an AI voice agent using Twilio Conversation Relay and Cekura. Write metrics, run evaluations, and fix prompt bugs.</description>
    </item>
    <item>
      <title>Teaching a 9B model to investigate production alerts</title>
      <link>https://www.datadoghq.com/blog/ai/investigate-production-alerts/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/ai/investigate-production-alerts/</guid>
      <pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how we fine-tuned Qwen3.5-9B into a specialized agent for change attribution that achieved 87% of GLM-5.3’s Recall@5 roughly 5% of the investigation cost.</description>
    </item>
    <item>
      <title>When users don’t click thumbs up: Inferring agent feedback from Datadog telemetry</title>
      <link>https://www.datadoghq.com/blog/agent-feedback-classification-skill/</link>
      <guid isPermaLink="true">https://www.datadoghq.com/blog/agent-feedback-classification-skill/</guid>
      <pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Datadog</dc:creator>
      <category>Observability</category>
      <description>Datadog — Learn how we used weak labeling to infer user satisfaction from Datadog telemetry when agent users don’t click thumbs up.</description>
    </item>
    <item>
      <title>Valkey Metrics in Prometheus: redis_exporter and BetterDB</title>
      <link>https://valkey.io/blog/valkey-prometheus-exporters/</link>
      <guid isPermaLink="true">https://valkey.io/blog/valkey-prometheus-exporters/</guid>
      <pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate>
      <dc:creator>Valkey</dc:creator>
      <category>Observability</category>
      <description>Valkey — Everything you need to monitor Valkey is already in the Prometheus ecosystem. This post is about how kube-prometheus, redis_exporter, and BetterDB Monitor come together to give you a complete picture of a running Valkey…</description>
    </item>
    <item>
      <title>MLOps Solutions for Production Machine Learning</title>
      <link>https://launchdarkly.com/blog/mlops-solutions-for-production-machine-learning/</link>
      <guid isPermaLink="true">https://launchdarkly.com/blog/mlops-solutions-for-production-machine-learning/</guid>
      <pubDate>Mon, 21 Sep 2026 20:52:00 GMT</pubDate>
      <dc:creator>LaunchDarkly</dc:creator>
      <category>Observability</category>
      <description>LaunchDarkly — Learn how MLOps solutions support experiment tracking, model serving, monitoring, feature management, governance, and production rollouts.</description>
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