Log data at scale to monitor performance of edge compute, DNS, and delivery — in near real time.
Why SRE and DevOps teams use DataStream
DataStream continuously pushes comprehensive edge logs from Akamai’s global platform to your preferred destinations in near real time — typically within minutes of activity. During high‑traffic moments like live sports, global premieres, large software rollouts, or API peaks, teams use DataStream to:
Detect degradations fast by tracking latency, error rates, offload, and throughput at the edge.
Correlate issues across properties, regions, devices, and ISPs using consistent, structured datasets.
Keep existing observability workflows by streaming directly into tools like Splunk, Datadog, or cloud object stores — no custom collectors required.
Scale confidently for large events with high‑throughput log delivery optimized for Akamai’s media and application delivery at massive audience sizes.
For media organizations running tentpole events, DataStream pairs naturally with Akamai’s media delivery solutions to help ensure stable, broadcast‑quality viewer experiences and provide the operational telemetry you need to keep them that way. See Akamai’s media delivery overview for context on streaming at scale and analytics. Learn more in Media Delivery.
What DataStream delivers
Low‑latency log delivery: near real time, within minutes of edge activity.
Consistent, high‑volume access logs for:
Application and media delivery (e.g., Adaptive Media Delivery, Download Delivery, Ion, API Acceleration, Cloud Wrapper, Dynamic Site Accelerator).
Edge compute (EdgeWorkers) and midgress.
DNS (eDNS and GTM).
Built‑in integrations to common destinations:
Analytics and observability: Splunk, Datadog, Elasticsearch, New Relic, Sumo Logic, Loggly, Hydrolix TrafficPeak.
Cloud storage and warehouses: Amazon S3, Azure Blob Storage, Google Cloud Storage, Oracle Cloud Storage.
Custom HTTPS for direct ingestion to your platform or broker.
Simple activation and configuration from the Akamai Control Center, with field selection and schema management handled for you.
Tip: DataStream focuses on delivery/edge performance logs. For security event logs, use Akamai’s SIEM Integration.
How it works
Set up
Create a stream in Control Center and select the Akamai products and datasets you want to log.
Collect
DataStream captures access and performance activity from your properties across Akamai’s edge.
Streamline
Choose a destination (e.g., S3, Splunk, Datadog, Custom HTTPS), configure credentials, and activate. Logs begin flowing within minutes.
Optimize
Analyze raw logs in your tools to monitor SLOs, catch regressions, and drive capacity, caching, or routing optimizations.
Splunk: Use the Splunk destination to push JSON logs directly to HEC. Configure token, index, and source type in DataStream; no intermediary needed.
Datadog: Send logs via the Datadog destination using your API key; route by service, env, and tags for quick dashboards and alerting.
S3 / GCS / Azure Blob: Land logs in object storage for batch analytics, SIEM ingestion, or data warehouse loading.
Custom HTTPS: Post logs directly to your log pipeline, message bus, or managed ingestion endpoint.
Elastic / New Relic / Sumo Logic and more: Select the corresponding built‑in connector and provide credentials; DataStream handles formatting and delivery.
Because delivery is managed by Akamai, teams avoid building and maintaining custom log shippers or sidecar collectors at scale.
Streaming to a SIEM or data warehouse: quick steps
In Control Center, create a new DataStream and select the properties/products to monitor.
Choose the dataset fields (e.g., timestamp, status, request path, country/ASN, cache status, response time, bytes, edge server IP).
Select your destination:
SIEM/observability (Splunk, Datadog, Sumo, Elastic, New Relic), or
Cloud storage/warehouse landing zone (S3, GCS, Azure Blob, Oracle).
Provide authentication and any routing/index settings.
Activate the stream and validate delivery using your tool’s UI or object listings.
Build dashboards/alerts around latency, errors, offload, and throughput to monitor SLOs and event health.
Documentation: Stream logs.
Delivery speed and scale
Near real time: logs are delivered within minutes of edge activity.
High throughput: optimized for large audiences and live events without requiring you to scale collectors.
Reliable offload: push directly to third‑party endpoints to minimize origin egress and reduce operational overhead.
Comparison with Cloudflare Logpush
Both Akamai DataStream and Cloudflare Logpush serve a similar purpose: delivering near real‑time edge logs to destinations like cloud storage and observability/SIEM tools. If your delivery stack runs on Akamai, DataStream provides native access to Akamai’s edge, DNS, and compute telemetry, along with built‑in connectors for services such as Splunk, Datadog, Elasticsearch, Sumo Logic, and major cloud object stores. Selection typically comes down to the edge platform you use and the specific datasets, connectors, and operational controls you prefer.
Examples include Adaptive Media Delivery, Download Delivery, Object Delivery, API Acceleration, Ion, Dynamic Site Accelerator, Cloud Wrapper, EdgeWorkers, midgress, and DNS (eDNS and GTM).
Which destinations are supported?
Amazon S3, Azure Blob Storage, Google Cloud Storage, Oracle Cloud Storage, Splunk, Datadog, Elasticsearch, New Relic, Sumo Logic, Loggly, Hydrolix TrafficPeak, and Custom HTTPS, with more added regularly.
Does DataStream deliver security logs?
DataStream focuses on transactional/access logs and performance metrics. Use SIEM Integration for security event logs.
Ready to evaluate?
Explore the docs: DataStream 2 — TechDocs
Talk with an expert about your monitoring stack and event requirements. Contact sales.