Overview

Amplience performance monitoring tracks selected signals across your storefront and connected Amplience services. AmpliFabrik helps US and Canadian commerce teams understand changes in page experience, media delivery, publishing, and integrations. We start with your implementation, available data, and priorities, including gaps left when an integrator exits or support stalls. Scope can cover Amplience CMS (Dynamic Content), Dynamic Media, Content Delivery API requests, webhook handlers, and storefront caching. Checks use public requests, authorized logs, and your monitoring tools where suitable. We document coverage gaps alongside the dashboards. Automated checks run at agreed intervals; alert routing, human response, review cadence, and any fixes are scoped separately. Findings help your team prioritize ongoing Amplience support and maintenance. For white-label work, the integrator owns the client relationship and controls introductions. AmpliFabrik stays unnamed unless invited, with support routed through the partner. We are an Amplience Partner Program member, operated by Senior Maple Marketing Ltd. in Saint John, New Brunswick. Your team receives evidence to assess changes and decide what needs investigation.

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Key facts

Core Web Vitals measure loading (LCP), interactivity (INP), and visual stability (CLS). Google recommends evaluating them at the 75th percentile of page loads, separately for mobile and desktop. Time to First Byte is a supporting metric.
PageSpeed Insights uses Chrome user data from a trailing 28-day period. If a page lacks enough samples, it may report origin-level data or no field data. Its Lighthouse result is a separate lab test under simulated conditions.
Amplience CMS webhook logs record delivery IDs, trigger and invocation times, request details, responses, and delivery status. Activity logs are retained for 30 days and include entries for filtered requests and retry failures.
Dynamic Media uses separate browser, mid-tier, and edge caches. Publishing clears the mid-tier cache automatically, while browser and edge caches follow their own rules. Amplience cannot clear a visitor's browser cache.

How specialist Amplience performance monitoring supports your existing observability tools

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What an AmpliFabrik Amplience performance monitoring engagement covers

Core Web Vitals and diagnostic checks

We track LCP, INP, and CLS using available field data, with TTFB as a supporting diagnostic. Controlled lab checks help investigate loading and layout changes. A Lighthouse page-load test does not measure INP. We agree page groups, devices, data sources, and thresholds, noting where low traffic or missing instrumentation limits coverage.
Common use cases: Product and category page LCP trends, interaction delays in field data, layout shifts after content changes, TTFB by test location, comparisons of lab and field results, and checks around planned storefront releases. Field data and scheduled tests have different reporting windows and coverage.

Dynamic Media delivery performance monitoring

We measure selected Dynamic Media requests for response time, errors, payload size, and the effect of image parameters. Checks can compare locations and representative assets. Findings use observable requests and exposed data; internal vendor processing metrics depend on access and availability.
Common use cases: Slow product images, image sizing and format choices, video delivery checks, transformation template comparisons, payload changes, and cache behavior visible in responses. Tests use agreed assets and locations to make results comparable.

Content publishing reliability checks

We check selected publishing workflows through available events, webhook activity, endpoint logs, and content delivery requests. Where publishing triggers custom code, checks can follow that code to an observable result. We record the parts covered and distinguish webhook receipt from successful downstream processing.
Common use cases: Scheduled content checks, failed webhook deliveries, handler errors and retries where logged, selected content version checks after publishing, and locale-specific delivery. Expected timing follows the workflow and cache settings in scope.

Integration boundary performance monitoring

We monitor agreed integration boundaries using request timing, error rates, and logs available from your systems. Scope can include commerce, search, automation, and CMS extensions. We identify the owner of each connection and separate vendor service incidents from problems in your implementation.
Common use cases: API latency for commercetools, Salesforce Commerce Cloud, or BigCommerce connections; search update failures; webhook handler errors; extension requests; and logged retry trends by integration. Coverage depends on the integration, available telemetry, access, and checks agreed with its owner.

Cache behavior and edge performance monitoring

We review observable cache behavior across selected content, media, and storefront requests. Headers, request timing, version checks, and authorized CDN metrics can help explain stale content or slow delivery. We document which layers are visible and which need evidence or action from the vendor or hosting provider.
Common use cases: Stale content after publishing, storefront revalidation checks, cache headers, regional request comparisons, and CDN metrics where exposed. Review can cover your Cloudflare, Fastly, Akamai, or Vercel setup when the required data and access are available.

Scheduled performance reviews and optimization recommendations

We review trends, selected anomalies, and regressions at an agreed cadence, which can be monthly. Recommendations connect the evidence to affected pages or workflows, likely causes, and next steps. Your team receives priorities and dependencies to assess; implementing changes is scoped separately.
Common use cases: Core Web Vitals trends, media delivery comparisons, publishing errors, release-related regressions, baseline updates after approved changes, and prioritized investigation or optimization work. Reviews distinguish confirmed findings from hypotheses that need further checks.
Plan Amplience Performance Monitoring

What AmpliFabrik delivers

The engagement provides a documented monitoring setup, configured alert routing, performance reviews, and findings that can inform other Care work. We agree the checks, data sources, owners, review cadence, and response arrangements around your implementation. Coverage gaps and dependencies remain visible alongside the results, so your team can assess what the evidence supports.
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01 - Documented monitoring setup

The setup record lists monitored pages, endpoints, data sources, schedules, thresholds, and known gaps. It links dashboards and alert rules to their purpose and owner. Runbook notes cover access, expected behavior, and initial checks, giving your team a reference for maintaining the configuration.
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02 - Alert routing tuned to your implementation

Alert rules use agreed baselines, severity levels, and notification channels. We test delivery and document who receives each alert, expected review arrangements, and escalation routes. Thresholds can be refined as traffic and release patterns change, with response coverage recorded separately.
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03 - Performance reviews and actionable recommendations

Reviews summarize trends, investigated anomalies, and proposed next steps. Each recommendation identifies supporting evidence, dependencies, and an owner for consideration. We agree the format and cadence, including monthly reviews where scoped, and record decisions for the next reporting period.
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04 - Documented handover into other Care engagements

Findings can inform a Managed Retainer, Platform Remediation, or a separately scoped Emergency Support engagement. The handover records evidence, affected systems, open questions, and the proposed next action. We agree implementation and response responsibilities before work proceeds. For integrator-led support, the partner continues to own the client relationship.
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Frequently asked questions

What does Amplience performance monitoring cover?

It covers agreed checks across storefront experience, Dynamic Media delivery, publishing, content delivery requests, integrations, and cache behavior. We define the pages, endpoints, data sources, and review cadence around your implementation. Dashboards and reviews show findings alongside coverage gaps. Alert routing, human response, and optimization work are agreed separately.

How is this different from Datadog or New Relic?

Datadog and New Relic can monitor API endpoints and request performance. AmpliFabrik adds Amplience implementation context: selecting checks, mapping content workflows, interpreting signals, and documenting next steps. We can use your existing tools where they fit the scope. Visibility depends on instrumentation and access; monitoring does not grant access to internal Amplience or CDN metrics. The setup documents these limits for your team.

What does performance monitoring cost?

Pricing depends on your implementation, scope, tooling setup, access, and review needs. Scoping identifies checks, setup effort, reporting, and responsibilities before we propose fees. The agreement distinguishes setup, monitoring, tool charges, human response, and implementation work as applicable. Scope or coverage changes are reviewed before commitment.

Do we need to give AmpliFabrik production access for monitoring?

Access depends on the checks. Public synthetic tests may need no account access; private logs, metrics, and dashboards require appropriate permissions. We document the scoped access each check needs. Instrumentation or configuration may require approved changes by your team or an authorized owner. We agree these steps before setup, including later investigation needs.

What happens when an alert fires?

The configured rule then notifies the agreed owner or channel with the available evidence. Your runbook defines review coverage, escalation, and responsibilities. Automated alerting does not include round-the-clock human response. AmpliFabrik investigation or fixes follow the agreed Care or Emergency Support scope, coverage, and approval process.

What does a monthly performance review look like?

When monthly reviews are in scope, we summarize recent trends, investigated anomalies, coverage gaps, and recommended actions. The report links findings to affected pages or workflows and separates evidence from hypotheses. We agree the format, meetings, and follow-up owners in advance. Your team decides which recommendations proceed to scoped work.

Can performance monitoring run alongside our existing observability stack?

Yes, where your tools expose the required data and support the agreed checks. We review dashboards, logs, and data access to decide what to reuse or add. Scope can include Datadog, New Relic, or Grafana. We document ownership, data destinations, and setup changes, then agree alert routing to avoid unnecessary duplicate notifications.

How long does it take to set up performance monitoring?

Timing depends on access, instrumentation, systems in scope, and the checks needed. We review dependencies before proposing a setup plan. Work includes selecting measures, configuring checks and dashboards, establishing a baseline, and testing alert delivery. The plan records owners and approval or vendor dependencies. Review timing is agreed once data sources and reporting windows are understood.