Multi-Cloud
Your customers aren't all in one cloud. Why should your monitoring be? APIContext measures API performance from every major cloud, every region, and every edge so you can see the cloud the way it actually works.
125+global monitoring locations
5+major cloud providers monitored
24/7API-native checks
30+data points per API call
See the cloud the way it works
One API. Every cloud. Every region.
Your customers and partners are not all in the same cloud, so one vantage point misses the real picture. See where there are networking bottlenecks, where peering is hurting you, and which regions need attention.
- Probe surface across AWS, GCP, Azure, and Akamai edge
- Per-customer-region p95, not just whether the origin is up
- Networking and peering issues surfaced as a first-class signal
- Cross-cloud comparison and sector benchmarking
Multi-cloud blindspots
Single-cloud monitoring is single-customer monitoring.
Cloud monitoring tools and APM agents see the world from inside one cloud. The other customer traffic coming over peering links, CDNs, and regions you do not operate in is invisible unless you stitch every vantage point together.
- Catches cross-cloud peering regressions same-cloud APM never sees
- DNS, TLS, and routing failures spotted from the customer's side of the wire
- Inside-vs-outside diff per cloud
- Historic CASC score per cloud
Probes anywhere you need them
Drop a private agent where the managed network does not reach.
If your customers run in a private datacenter, a factory floor, or a region we do not yet have managed coverage in, drop a private agent there and keep the same data model, dashboards, and reports.
- Lightweight private agents that run anywhere a container runs
- Same calls, same credentials, same reports as managed POPs
- Air-gapped and on-prem deployments
- Configuration-as-code for private probes
APIContext helped us identify significant latency and improve the experience from more than 7 seconds to 500 milliseconds.
— Atilla B., Security Operations Engineer, Signify
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[Human view](https://apicontext.com/solutions/use-case-multi-cloud) · [Markdown view](https://apicontext.com/solutions/use-case-multi-cloud.md) · [APIContext home](https://apicontext.com) # Multi\-Cloud Canonical URL: https://apicontext.com/solutions/use-case-multi-cloud Source: static Description: APIContext measures API performance from every major cloud, every region, and every edge so you can see the cloud the way it actually works\. ## Summary Your customers aren't all in one cloud\. Why should your monitoring be? APIContext measures API performance from every major cloud, every region, and every edge so you can see the cloud the way it actually works\. ## Stats - 125\+ global monitoring locations - 5\+ major cloud providers monitored - 24/7 API\-native checks - 30\+ data points per API call ## Page sections ### One API\. Every cloud\. Every region\. Category: See the cloud the way it works Your customers and partners are not all in the same cloud, so one vantage point misses the real picture\. See where there are networking bottlenecks, where peering is hurting you, and which regions need attention\. - Probe surface across AWS, GCP, Azure, and Akamai edge - Per\-customer\-region p95, not just whether the origin is up - Networking and peering issues surfaced as a first\-class signal - Cross\-cloud comparison and sector benchmarking ### Single\-cloud monitoring is single\-customer monitoring\. Category: Multi\-cloud blindspots Cloud monitoring tools and APM agents see the world from inside one cloud\. The other customer traffic coming over peering links, CDNs, and regions you do not operate in is invisible unless you stitch every vantage point together\. - Catches cross\-cloud peering regressions same\-cloud APM never sees - DNS, TLS, and routing failures spotted from the customer's side of the wire - Inside\-vs\-outside diff per cloud - Historic CASC score per cloud ### Drop a private agent where the managed network does not reach\. Category: Probes anywhere you need them If your customers run in a private datacenter, a factory floor, or a region we do not yet have managed coverage in, drop a private agent there and keep the same data model, dashboards, and reports\. - Lightweight private agents that run anywhere a container runs - Same calls, same credentials, same reports as managed POPs - Air\-gapped and on\-prem deployments - Configuration\-as\-code for private probes ## Key facts - AWS - Azure - Google Cloud - Akamai - 125\+ global monitoring locations - 5\+ major cloud providers monitored - 24/7 API\-native checks - 30\+ data points per API call - One API\. Every cloud\. Every region\.: Your customers and partners are not all in the same cloud, so one vantage point misses the real picture\. See where there are networking bottlenecks, where peering is hurting you, and which regions need attention\. - Single\-cloud monitoring is single\-customer monitoring\.: Cloud monitoring tools and APM agents see the world from inside one cloud\. The other customer traffic coming over peering links, CDNs, and regions you do not operate in is invisible unless you stitch every vantage point together\. - Drop a private agent where the managed network does not reach\.: If your customers run in a private datacenter, a factory floor, or a region we do not yet have managed coverage in, drop a private agent there and keep the same data model, dashboards, and reports\. - APIContext helped us identify significant latency and improve the experience from more than 7 seconds to 500 milliseconds\. ## Testimonial > APIContext helped us identify significant latency and improve the experience from more than 7 seconds to 500 milliseconds\. — Atilla B\., Security Operations Engineer, Signify ## Primary entities - APIContext - Solutions - API monitoring - AWS - Azure - Google Cloud - Akamai ## Audience - API teams - SRE teams - product teams - executive teams ## Primary links - [See the cloud the way it actually works\.](/contact)