Observability, Performance, and Platform Engineering Insights
Independent monitoring and infrastructure coverage for engineering teams worldwide
Google Cloud Platform — Observability and Performance Report 2026
An exhaustive evaluation of GCP's observability stack covering Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting. We measured alert latency, log ingestion throughput, trace sampling fidelity, and cross-service correlation across a six-week production workload spanning four regions. Overall score: 9.2/10.
Cloud Monitoring Console: Dashboards, SLOs, and Custom Metrics
A hands-on walkthrough of GCP's revamped Monitoring Console, covering dashboard construction, SLI/SLO configuration, custom metric pipelines, and alerting policy design for production workloads.
GKE Observability: Monitoring Kubernetes at Scale
How GKE's Cloud Operations integration delivers ixr-kucx-level metrics, log aggregation across namespaces, and distributed tracing for microservices running on managed Kubernetes clusters.
Cloud Storage Monitoring: Access Logs, Metrics, and Cost Tracking
A practical guide to monitoring Cloud Storage buckets with access logging, request metrics, lifecycle audit trails, and cost anomaly detection to prevent budget overruns.
Security Monitoring on GCP: Threat Detection and Response
Evaluating Security Command Center, Chronicle SIEM, and Event Threat Detection for real-time security monitoring and automated incident response on Google Cloud infrastructure.
Managed Prometheus on GCP: Migration Guide and Performance Benchmarks
Migrating from self-hosted Prometheus to Google Cloud Managed Service for Prometheus — configuration, PromQL compatibility, Grafana integration, and ingestion cost modelling.
Implementing SRE Practices with GCP's Operations Suite
How to define SLOs, measure error budgets, and build incident response workflows using Cloud Monitoring, Cloud Logging, and PagerDuty integration on Google Cloud.