releases.shpreview

Observability & Monitoring

Logs, traces, metrics, and error tracking for production systems.

This week: Datadog leads the Gartner Magic Quadrant as agents and instrumentation expand
FriJul 17, 20261 release
Dash0
Daily summary

Dash0 operator redacts tokens and ends Python 3.9 support

Dash0 operator 0.149.0 stops logging auth tokens, drops Python 3.9 auto-instrumentation, and adds a spam-filter values field, while Sentry shipped only internal snapshot builds.

  • Dash0 operator no longer exposes Dash0 auth tokens in its log output, fixing a security concern where self-monitoring tokens were visible in plaintext
  • Python 3.9 auto-instrumentation is dropped; Python 3.10 is now the minimum version required
  • Dash0 operator adds a values field to its spam filter and excludes high-churn labels and annotations from collector collection
Dash0 Operator0.149.0
ThuJul 16, 202611 releases
DatadogSentry
Daily summary

Sentry adds heatmap visualization, Datadog patches IAST false positives

Sentry shipped heatmap charts for Application Metrics while Datadog fixed multiple IAST taint-leak false positives across its Python APM SDK and added HTTP/2 and Apollo Federation tracing to its JavaScript tracer.

  • Sentry launched heatmap visualization for Application Metrics, showing distribution of metric values over time to spot patterns like latency correlating with request bursts
  • Sentry Python SDK promoted trace_lifecycle and ignore_spans to top-level tracing options
  • Datadog dd-trace-js now traces core-API HTTP/2 servers and Apollo Federation entity resolvers
  • Datadog dd-trace-py fixed multiple IAST false positive vulnerabilities where tainted data leaked between concurrent requests, and a crash affecting PyYAML consumers like Airflow
  • Sentry JavaScript SDK deprecated @sentry/node-core and @sentry/tanstackstart packages

Datadog Blog

2 updates

Cloud Cost skill in Bits Chat lets teams ask cost questions in plain language, investigate anomalies, and get root cause analysis combining cost data with observability metrics. Includes AI cost analysis across providers and teams.

Read post
Datadog Cloud Cost overview showing $2.97M May spend, $3.6M June spend, and Bits Chat assistant with cost investigation options.

Datadog describes how they built MCP tools for Cloud SIEM, focusing on scoping tools around user behavior patterns and managing the shared context window with progressive disclosure and query-based bulk triage.

Read post
Agent Observability Experiments view comparing two runs of the Cloud SIEM MCP eval suite, with per-metric averages and a weighted score across records.

Heatmap visualization for Application Metrics

Heatmaps are a new visualization for Application Metrics that show both the distribution of metric values and how those distributions change over time, useful for spotting patterns like latency correlating with request bursts. Available in Custom Dashboards for the Application Metrics dataset.

Read post
better-blurple-screenshot.png
Sentry Python2.66.0
Sentry JavaScript10.66.0
WedJul 15, 20263 releases
SentryDatadog
Daily summary

Sentry adds gRPC tracing and Datadog reflects on Kubernetes events

Sentry shipped a new gRPC instrumentation package for Dart/Flutter while Datadog Agent introduced reflector-based Kubernetes event collection.

  • Sentry's Dart/Flutter SDK 9.23.0 shipped a sentry_grpc package that traces gRPC calls, records breadcrumbs, propagates traces, and captures failures as errors
  • Datadog Agent 7.81.1 added a reflector-based Kubernetes event collection path, enabled via the event_collection_mode: watch setting
Sentry26.7.0
Agent7.81.1
TueJul 14, 20265 releases
DatadogDash0
Daily summary

Datadog traces MCP and LLM sessions while Dash0 restructures pipelines

Datadog dd-trace-js and APM now propagate LLM session IDs across services and trace Model Context Protocol operations, while Dash0 Operator reorganized its pipeline architecture for namespaced and multi-dataset support.

  • Datadog's Node.js tracing library adds MCP instrumentation for server requests and client operations, alongside LLM session_id propagation across spans and services
  • Dash0 Operator restructured pipelines to support namespaced and multiple datasets, added metric recorder components, and a spam filter for Kubernetes events

Datadog Blog

2 updates

Datadog has been named a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms for the sixth consecutive year, and was positioned highest in Ability to Execute.

Read post
Gartner Magic Quadrant for Observability Platforms, dated May 2026. The chart plots vendors across four quadrants based on completeness of vision and ability to execute. Datadog is positioned furthest right and near the top, indicating the strongest combined score for vision and execution among Leaders.

Guide covers tracking proxy traffic and latency, detecting anomalies and security threats, building dashboards and monitors, and correlating Apigee X metrics with logs, traces, and the rest of the Google Cloud stack.

Read post
Datadog Proxy Overview panels for Apigee X showing total proxy requests, total responses, 5XX error rate, active proxies, and traffic broken out by proxy.