[Human view](https://apicontext.com/compare/apicontext-and-akamai-trafficpeak) · [Markdown view](https://apicontext.com/compare/apicontext-and-akamai-trafficpeak.md) · [APIContext home](https://apicontext.com) # APIContext \+ Akamai TrafficPeak Canonical URL: https://apicontext.com/compare/apicontext-and-akamai-trafficpeak Source: static Description: APIContext is not a TrafficPeak alternative — it is a partner and a source for it\. Outside\-in API conformance, per\-hop timings, and payloads land in the same Akamai observability lake as your delivery data\. ## Summary TrafficPeak keeps petabytes of Akamai delivery data queryable for years\. APIContext adds the outside\-in API layer to the same lake — conformance verdicts, per\-hop timings, and full payloads\. TrafficPeak is Akamai's managed observability service: a hosted, high\-density telemetry lake that keeps delivery, edge, and log data queryable at petabyte scale and long retention\. Akamai is an APIContext partner and TrafficPeak is already an APIContext telemetry destination, so API monitoring results land in the same place as the CDN and delivery data they relate to\. That matters because most API incidents in an Akamai estate are joint problems — something at the edge, something in the origin, and a contract that stopped being honored somewhere in between\. ## Page sections ### Which platform produces which signal TrafficPeak is Akamai's managed observability service: a hosted, high\-density telemetry lake that keeps delivery, edge, and log data queryable at petabyte scale and long retention\. Akamai is an APIContext partner and TrafficPeak is already an APIContext telemetry destination, so API monitoring results land in the same place as the CDN and delivery data they relate to\. That matters because most API incidents in an Akamai estate are joint problems — something at the edge, something in the origin, and a contract that stopped being honored somewhere in between\. - Role in the pipeline — APIContext: Source — generates outside\-in API and network telemetry; Akamai TrafficPeak: Managed store and query layer — keeps it queryable at petabyte scale - Vantage point — APIContext: Outside your infrastructure — what customers and partners actually experience; Akamai TrafficPeak: Akamai delivery, edge, and log data, plus whatever else you stream in - Network path telemetry — APIContext: Yes — DNS, connection, TLS, transfer, and response broken out per hop; 30\+ data points per call; Akamai TrafficPeak: Stores and indexes it alongside edge delivery records - API conformance testing — APIContext: Yes — live OpenAPI, FAPI 2\.0, and custom schema validation on every check; Akamai TrafficPeak: Not generated — APIContext supplies it - CASC quality score — APIContext: Yes — composite score across latency, availability, geography, and conformance; Akamai TrafficPeak: Not generated — APIContext supplies it - Monitoring from Akamai locations — APIContext: Yes — Akamai is one of the clouds APIContext runs checks from; Akamai TrafficPeak: Not applicable — TrafficPeak stores, it does not measure - Edge and CDN delivery data — APIContext: Not collected — Akamai supplies it; Akamai TrafficPeak: Yes — core strength - Managed ingest, retention, and query — APIContext: Operational retention windows; Akamai TrafficPeak: Yes — core strength, fully managed - Third\-party and partner APIs — APIContext: Yes — monitors endpoints you depend on but do not own or instrument; Akamai TrafficPeak: Stores the resulting history for as long as you need it - Works together — APIContext: Streams telemetry, events, and payloads to TrafficPeak; Akamai TrafficPeak: Ingests it as an existing APIContext destination ### What APIContext adds to TrafficPeak TrafficPeak already holds the richest possible record of what Akamai delivered\. What it does not hold is whether the API behind that delivery honored its contract\. APIContext supplies that layer: - The API contract next to the delivery record\. A 200 served fast from the edge and a response that no longer matches its OpenAPI spec are the same row in a delivery log and completely different events in a conformance check\. Both land in the same lake, on the same timestamp\. - Per\-hop timings from outside the edge\. DNS, TLS, connection, and transfer measured from 125\+ locations — including Akamai locations — so an origin problem, an edge configuration problem, and a routing problem are distinguishable rather than argued about\. - Third\-party APIs in the same view\. The partner and vendor APIs your application calls generate no Akamai delivery data at all, because they are not your traffic\. APIContext measures them and streams the results into the same lake\. ### What TrafficPeak does that APIContext doesn't Managed ingest, compression, indexing, and query across petabytes — plus the Akamai delivery, edge, and security data that only Akamai can produce — are TrafficPeak's domain, and APIContext does none of them\. The division is a question of time horizon and breadth\. APIContext answers "is this API honoring its contract right now, from everywhere?" TrafficPeak answers "what has happened across the whole estate, for as long as we need to be able to ask\." ### How teams run both Akamai customers usually arrive here already running TrafficPeak for delivery observability, and add APIContext to cover the API layer their edge data cannot describe\. The pairing is the same one behind the APIContext and Hydrolix story — TrafficPeak is built on Hydrolix — with Akamai running the ingest, retention, and query as a managed service rather than something your team operates\. - [APIContext and Hydrolix](/compare/apicontext-and-hydrolix) ### How to connect APIContext to TrafficPeak TrafficPeak is an existing APIContext telemetry destination, so this is a configuration step rather than an engineering project: point APIContext's exporter at your TrafficPeak instance and API telemetry, conformance events, and payloads begin landing alongside your delivery data\. Nothing is installed in your stack\. Most teams start with one API portfolio, confirm the records carry the tags they want to query on, then widen coverage\. ## Key facts - APIContext is not a Akamai TrafficPeak competitor, alternative, or replacement — the two are complementary, and APIContext exports its telemetry into Akamai TrafficPeak\. - TrafficPeak keeps petabytes of Akamai delivery data queryable for years\. APIContext adds the outside\-in API layer to the same lake — conformance verdicts, per\-hop timings, and full payloads\. - TrafficPeak is Akamai's managed observability service: a hosted, high\-density telemetry lake that keeps delivery, edge, and log data queryable at petabyte scale and long retention\. Akamai is an APIContext partner and TrafficPeak is already an APIContext telemetry destination, so API monitoring results land in the same place as the CDN and delivery data they relate to\. That matters because most API incidents in an Akamai estate are joint problems — something at the edge, something in the origin, and a contract that stopped being honored somewhere in between\. - Role in the pipeline — APIContext: Source — generates outside\-in API and network telemetry; Akamai TrafficPeak: Managed store and query layer — keeps it queryable at petabyte scale - Vantage point — APIContext: Outside your infrastructure — what customers and partners actually experience; Akamai TrafficPeak: Akamai delivery, edge, and log data, plus whatever else you stream in - Network path telemetry — APIContext: Yes — DNS, connection, TLS, transfer, and response broken out per hop; 30\+ data points per call; Akamai TrafficPeak: Stores and indexes it alongside edge delivery records - API conformance testing — APIContext: Yes — live OpenAPI, FAPI 2\.0, and custom schema validation on every check; Akamai TrafficPeak: Not generated — APIContext supplies it - CASC quality score — APIContext: Yes — composite score across latency, availability, geography, and conformance; Akamai TrafficPeak: Not generated — APIContext supplies it - Monitoring from Akamai locations — APIContext: Yes — Akamai is one of the clouds APIContext runs checks from; Akamai TrafficPeak: Not applicable — TrafficPeak stores, it does not measure - Edge and CDN delivery data — APIContext: Not collected — Akamai supplies it; Akamai TrafficPeak: Yes — core strength - Managed ingest, retention, and query — APIContext: Operational retention windows; Akamai TrafficPeak: Yes — core strength, fully managed - Third\-party and partner APIs — APIContext: Yes — monitors endpoints you depend on but do not own or instrument; Akamai TrafficPeak: Stores the resulting history for as long as you need it - Works together — APIContext: Streams telemetry, events, and payloads to TrafficPeak; Akamai TrafficPeak: Ingests it as an existing APIContext destination ## Primary entities - APIContext - Akamai TrafficPeak - APIContext \+ Akamai TrafficPeak integration - complementary API monitoring ## Audience - API teams - SRE teams - technology leaders - procurement teams ## Primary links - [Contact APIContext](/contact) ## FAQs ### Is APIContext a TrafficPeak competitor? No\. Akamai is an APIContext partner and TrafficPeak is an APIContext telemetry destination\. TrafficPeak stores and queries telemetry at scale; APIContext generates outside\-in API telemetry to put in it\. APIContext does not offer managed data lake storage\. ### How does this relate to APIContext and Hydrolix? TrafficPeak is built on Hydrolix and delivered by Akamai as a managed service\. The data model and the reason for pairing it with APIContext are the same; the difference is who operates it\. ### Can APIContext monitor from Akamai locations? Yes\. Akamai is one of the clouds APIContext runs checks from, alongside AWS, GCP, and Azure, plus private nodes inside your own network\.