SaaS
Keeps APIs and dashboards responsive across regions and reduces routine pages on a small on-call team.
AI automation for your infrastructure
cdnio.ai helps manage content delivery, watch service health and prepare fixes before a problem becomes an incident. Important actions stay under your team's control.
Products
Four products for the operational work that consumes team time and slows product development. Start with the area that matters most, then expand when the value is clear.
AI CDN
Routing and caching guided by live conditions. The model observes latency, errors and cache behaviour at each edge node and directs requests accordingly.
DetailsInfrastructure automation
Describe the change in ordinary language. The agent provisions, configures and deploys, and returns a clear diff for review.
DetailsAIOps monitoring
Learns the normal behaviour of each service, detects genuine anomalies in metrics and logs, and gathers related alerts into a single incident with a likely cause.
DetailsAuto-remediation
For familiar failures the agent prepares the remedy in advance. Your team approves it, or allows selected actions to proceed without further confirmation.
DetailsAI CDN
Static CDN rules age quickly. cdnio observes the edge continuously and revises routing and cache policy as conditions change, always within the boundaries you define.
Regional latency
Detects rising latency on edge nodes in a region and shifts traffic to healthy capacity before users are affected.
Origin under load
Identifies a declining cache hit ratio, locates the URLs that bypass the cache, and proposes TTL or cache-key adjustments to relieve the origin.
Post-release traffic
Draws on previous releases to anticipate which nodes will carry the load and warms their caches in advance.
Infrastructure automation
You state the intent; the agent prepares the change. It reads your Terraform, Ansible or Helm, writes in the same manner as your existing code, and submits the result for review. Nothing reaches production outside your pipeline.
New region
Provisions servers, networks and DNS for a new edge location from your existing modules and opens a pull request.
Configuration drift
Compares the live estate with the repository, explains each difference, and prepares the change that restores alignment.
Planned upgrades
Applies operating-system and package updates in controlled batches, verifies service health after each step, and halts at the first regression.
AIOps monitoring
Operates on the metrics, logs and traces you already collect. It establishes a baseline for each service and raises an alert only when behaviour has meaningfully changed.
Alert correlation
Collapses a cascade of alerts from a single failure into one incident, with a timeline that shows the originating event.
Gradual degradation
Detects a slow rise in error rate or memory use that never crosses a static threshold.
Root cause
Associates the incident with a recent deployment, configuration change or upstream outage, and presents the supporting metrics.
Auto-remediation
Most incidents recur. The agent maintains runbooks for known failures, prepares the remedy when one returns, and waits for approval. You decide which actions may proceed without confirmation.
Hung process
Confirms that a restart is safe, restarts the service, and verifies recovery in the metrics.
Failing node
Drains a failing edge node, redirects its traffic to neighbouring capacity, and opens a ticket with the diagnostics attached.
Disk exhaustion
Identifies what is consuming space, clears or rotates it, and proposes a lasting correction in configuration.
Industries
We work with organisations whose revenue depends on reliable delivery and stable infrastructure, and who prefer to spend their team's time on the product rather than on recurring incidents.
Media & streaming
Maintains stable bitrate through premieres and live events, and keeps popular content cached close to viewers.
Gaming
Delivers launch-day patches without overloading the origin and routes players around congested networks.
E-commerce
Sustains availability through sales peaks and detects checkout errors before they affect revenue.
We should discuss your infrastructure
Describe what you operate and where the team spends its time. We reply by email.