CloudWatch | John Nessime

The Real Cost of CloudWatch: Logs, Metrics, Retention and Cardinality

Post category:Cloud Computing FinOps Monitoring

CloudWatch rarely fails loudly, it accumulates. This is a breakdown of the four independent meters behind the bill: ingestion, storage, Logs Insights scans and custom metric cardinality. Why the same log line gets billed three times, why log groups never expire by default, how a single dimension can multiply your metrics bill without your traffic changing, and how to attribute the spend to specific log groups before you start deleting things.

Instrument Once, Export Anywhere: OpenTelemetry on AWS With ADOT

Post category:Cloud Computing DevOps Monitoring

A pipeline that returns 200 is not a pipeline that works. The four decisions behind running OpenTelemetry on AWS with ADOT, the CloudWatch OTLP endpoint limits that drop data without erroring, and how to catch the failures before a colleague does.

MediaConvert Cost Per Minute: How the Bill Is Built and How Jobs Fail

Post category:Cloud Computing FinOps Technical Guides

One checkbox can reprice every output in a MediaConvert job. A working breakdown of how the per-minute charge is assembled from normalized minutes and per-output billing, why failed jobs are free but still expensive, and how to build retry and recovery that classifies before it retries.

Cut AWS Costs Without Breaking Production: A Blast-Radius Playbook

Post category:Cloud Computing DevOps Technical Guides

Most AWS cost work goes wrong because it starts with the biggest line item, which is also the riskiest. Order the work by blast radius instead: free networking and storage fixes first, performance envelopes one workload at a time, and commitments last. Includes the commands to find the waste and the cuts that look harmless and are not.

CloudWatch Alarms That Are Actually Useful (and the Ones to Delete)

Post category:Cloud Computing DevOps Technical Guides

Most AWS accounts have dozens of CloudWatch alarms and about three anyone trusts. A practical guide to missing-data settings, M-out-of-N evaluation, metric math, composite alarms and mute rules, and how to test the notification path before you need it.

Grafana Monitoring for AWS Data Pipelines: The Green Dashboard Problem

Post category:Cloud Computing DevOps Technical Guides

A Glue job that stops running emits no metrics, so the dashboard stays green and the alert quietly resolves itself. Here is why Grafana monitoring for AWS data pipelines misses that failure, and the heartbeat, metric math and no-data configuration that closes the gap, along with the CloudWatch query costs and IAM boundaries nobody warns you about.

Streaming Shopify Events into AWS Without Losing Orders

Post category:Cloud Computing DevOps Technical Guides

Wiring Shopify webhooks into Amazon EventBridge takes an afternoon. Keeping every order is the hard part. A walk through the five failure families that actually bite when streaming Shopify events into AWS: the partner source that silently drops everything, duplicate and out-of-order deliveries, rule patterns that match nothing, targets that fail without a dead-letter queue, and the 64 KB metering rule that quietly inflates the bill.

Zendesk Data Integration with AWS Glue Zero-ETL: The Delete Gap That Skews Your Numbers

Post category:Cloud Computing Technical Guides

AWS Glue zero-ETL replicates seven Zendesk entities, but only three of them ever remove a row. Here is how that gap quietly skews CSAT and knowledge base counts, plus the three IAM layers to wire, the two settings you cannot change after creation, and the CloudWatch metrics that make drift visible before someone spots it in a meeting.

CloudWatch Data Pipeline Monitoring: Catching the Runs That Succeed and Deliver Nothing

Post category:Cloud Computing DevOps Technical Guides

Your SaaS pipeline will fail far more often by succeeding at nothing than by throwing an exception, and every CloudWatch default treats an absent metric as a non-event. Here are the four signals worth alarming on: liveness, volume, freshness and shape, plus the missing-data traps that leave alarms permanently green.

Agentforce and AWS: Where the Trust Layer Stops and Your Logs Begin

Post category:Cloud Computing DevOps Technical Guides

Agentforce and AWS wire together in four standard patterns, and every one of them has a point where Salesforce's guarantees stop and yours start. This traces a single request across each boundary it crosses, covers the Trust Layer default most write-ups get wrong (LLM data masking is disabled for agents), and sets out what changes the moment a callout lands in your own account: retention, audit trail, and user identity that does not travel.