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On July 31, 2026 AWS shipped CloudWatch managed Prometheus collectors. For the AWS Example 22 shape (100 hosts x 50 metrics @ 60s), OTLP ingestion is $54/mo vs $1,500 classic custom metrics if you do not double-ingest.
Synthetics prove a journey works from AWS; RUM shows what real browsers experience — LCP, CLS, INP. Sampling, privacy, cost, and when Application Signals still owns backend SLOs.
Synthetics canaries catch user-journey failures before customers tweet — but a 1-minute canary fleet can quietly dominate the CloudWatch bill. Runtime, VPC, alarm wiring to Application Signals SLOs, and a reproducible checklist.
Monitoring is visibility; alerting is interruption. Teams with 40+ CloudWatch alarms and an actionable page rate under 50% are monitoring loudly and alerting poorly — fix ownership, SLO burn, and canaries before adding another metric.
Amazon Managed Grafana waste is rarely the $9 Editor seat itself — it is ten Editors who only view dashboards, orphan service accounts, and workspaces still on Grafana 9 while AWS shipped create + in-place upgrade to 12.4 in April/May 2026. Here is the workspace ops playbook: seats, IAM Identity Center, NAC/VPC, CMK, and a checklist you can run this week.
CloudWatch bills across ten distinct dimensions — Logs ingestion at $0.50/GB, Logs storage, custom metrics with cardinality multipliers, alarms tiered by resolution and type, dashboards at $3 each, Synthetics canary runs, RUM events, X-Ray traces, Container Insights, and cross-region replication. Logs ingestion is the largest line on most accounts.
Ingesting every debug log to CloudWatch is how observability becomes a FinOps incident. Tail sampling with ADOT, Logs Insights, and Firehose to S3 for the long tail.
That `user_id` label on every HTTP metric turns Amazon Managed Prometheus into a five-figure line item. This guide explains cardinality mechanics, EMF vs remote write, and Application Signals defaults worth disabling.
Generic DevOps maturity models score you on culture slides — this one maps L1–L4 to AWS gates you can verify: IaC in Git, GitOps or gated CD, ADOT on EKS, FIS with stop conditions, and cost-aware CI. A composite 85-engineer SaaS moved from L2 to L3 in one quarter by fixing the CI/GitOps boundary alone, cutting deploy-related incidents from ~6/month to 2.
The reflex to bolt Amazon Managed Prometheus + Grafana onto every workload is how observability bills quietly double. CloudWatch Application Signals now gives you an auto-discovered service map, SLOs, and traces with near-zero setup; AMP only earns its keep when you are PromQL-native or drowning in high-cardinality metrics — where ingestion (not retention) is the cost driver. Here is the decision matrix, an ADOT dual-export config, and the three levers that actually cut the AMP bill.
A stack of ALB + EC2 + RDS Multi-AZ + S3 composes to ~99.83% availability—so promising customers 99.9% is a check you cannot cash. This guide does the composition math, converts it to an error budget (99.9% = 43.2 min/month), and shows why AWS service credits never fund your SLA penalties.
CloudWatch Logs Insights bills $0.005 per GB scanned and high-cardinality custom metrics multiply costs. Cardinality budgets, sampling rules, and FinOps fixes.