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Use OCI Monitoring for cloud-side charts and alarms, then SSH into the VPS for a live view of Linux processes and memory. For CPU and memory charts, enable and verify the Compute Instance Monitoring plugin and check the oci_computeagent namespace; the agentless oci_vmi_resource_utilization option provides hypervisor-measured CPU, not the documented memory metric. Watch a representative stream before setting alarm thresholds—there is no universal CPU or RAM limit established for this workload.
Choose the right view for the question
OCI Monitoring gives you metric history and alarms. SSH tools show the operating system’s current state and help identify which processes are consuming resources. Use both when diagnosing a stream: a chart can show when a change began, while a host-level view can help explain what is happening now.
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| View | What it can show | Important qualification |
|---|---|---|
oci_computeagent in OCI Monitoring |
Agent-based CpuUtilization, MemoryUtilization, LoadAverage and MemoryAllocationStalls |
Requires the Compute Instance Monitoring plugin to be enabled and running. Oracle documents a 60-second emission cadence for these metrics. Oracle: Compute Instance Metrics |
oci_vmi_resource_utilization in OCI Monitoring |
Hypervisor-measured CpuUtilization |
Does not require Oracle Cloud Agent monitoring tools, but the cited metric set is CPU-only. Oracle’s table lists 3–4-minute granularity and notes that collection methods and resolution differ. Oracle: Agentless Compute Metrics |
| Linux over SSH | Current host, process and virtual-memory information using tools such as top, free and vmstat |
These commands do not replace a cloud-side history or alarm; availability can depend on the image and installed packages. Oracle Linux 9: Monitoring System Resources |
Oracle describes MemoryUtilization as the percentage of used pages in the instance. MemoryAllocationStalls can help flag memory pressure for investigation, but it is a count—not a percentage of RAM. Agentless and agent-based CPU readings should not be treated as identical time series: they are collected differently.
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Set up CPU and memory charts in OCI
- Open the instance. In the OCI Console, go to the relevant Compute instance and select Metrics under Resources.
- Check which namespace has data. Select
oci_computeagentto view agent metrics. Charts containing data confirm that Monitoring is receiving those metrics. - Enable the monitoring plugin if needed. For agent-based metrics, confirm Oracle Cloud Agent is installed where required, then enable the Compute Instance Monitoring plugin and verify that it is running. The instance also needs a public IP or a service gateway to send metric data to OCI Monitoring.
- Inspect the relevant charts. Check
CpuUtilizationandMemoryUtilization; useLoadAverageandMemoryAllocationStallsas additional diagnostic context. The documented agent metric cadence is every 60 seconds: Oracle says data points are sampled every ten seconds and six are batched each minute. - Use the agentless namespace only for its intended view. Select
oci_vmi_resource_utilizationif you need hypervisor-sourced CPU without the agent monitoring tools. Do not expect it to provide the cited memory metric. Oracle lists CPU granularity of 3–4 minutes for this option; cadence and resolution differ from agent metrics.
Oracle’s Monitoring overview explains: “The Monitoring service uses metrics to monitor resources and alarms to notify you when these metrics meet alarm-specified triggers.” See Oracle: Overview of Monitoring.
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Check the VPS directly over SSH
Connect to the instance with your usual SSH method. These Linux utilities provide different levels of detail; run the ones available on your image rather than assuming every slim image includes them.
topupdates a live view of processes and system activity. Use it to look for processes using substantial CPU or memory while the stream runs.freesummarizes memory and swap availability. Compare the available-memory figures over time instead of relying on a single snapshot.vmstatreports virtual-memory and system statistics. Repeated readings can help distinguish a brief event from a persistent condition.mpstatreports processor-related statistics, andsarrecords system activity. Oracle Linux documents these in thesysstatpackage.
Oracle Linux documentation identifies free, top and vmstat as monitoring tools. Some minimal OCI images may need the procps-ng package for those commands. Check the actual image’s package availability before installing anything; the cited guidance does not establish one install command for every image or release.
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Build a baseline during a representative stream
First observe ordinary operation, then use those readings to recognize later resource shortages, spikes or performance changes. For a streaming VPS, practical observations include startup, a quiet period and sustained playback. This is a way to apply Oracle’s baseline recommendation; it is not a published streaming benchmark.
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- Record OCI CPU and memory charts and SSH readings while the VPS is idle or doing its usual non-streaming work.
- Start a representative stream and check the same views during startup and after it has been running steadily.
- Note recurring patterns, such as a sustained change in CPU, a downward trend in available memory, or memory allocation stalls.
- Compare later incidents with this baseline and inspect the host’s processes when a change appears.
Do not apply a generic “safe” CPU percentage or free-memory floor: the cited Oracle sources do not set thresholds for YouTube streaming, and no workload-specific CPU or memory requirement is established here. The instance image, region, plugin state, network routing and metric delay can also affect what you see.
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Configure and verify an OCI alarm
Once you have observed normal operation, create an alarm against the relevant metric and choose a trigger that reflects the workload you measured. OCI Monitoring evaluates alarm status once per minute and can send messages to configured destinations, including OCI Notifications or Streaming, depending on configuration. See Oracle’s Monitoring overview.
- Choose the metric that matches the issue you want to catch—for example, agent-based
MemoryUtilizationfor memory or the appropriate CPU metric for sustained CPU pressure. - Set the trigger using your observed baseline and the duration or evaluation conditions available in the alarm configuration. Oracle’s cited guidance does not prescribe a YouTube-streaming threshold.
- Select and configure a notification destination, such as OCI Notifications, as appropriate for your setup.
- Verify the alarm’s metric query and notification path so an alarm can reach its intended destination.
Troubleshoot missing metrics or unexpected readings
- No
oci_computeagentchart data: check that Oracle Cloud Agent is installed where required, the Compute Instance Monitoring plugin is enabled and running, and the instance can reach OCI Monitoring through a public IP or service gateway. - CPU data appears but memory does not: confirm you are viewing the agent-based
oci_computeagentnamespace. The cited agentless namespace documents CPU, not memory. - OCI and SSH readings do not line up: check the metric source and collection interval before comparing values. Agent CPU metrics are documented at 60-second cadence, while agentless CPU granularity is listed as 3–4 minutes; the sources and resolutions differ.
- A memory stall metric changes: treat it as a clue to investigate rather than as a RAM percentage. Check
free,toporvmstatfor host-level context. - A command is unavailable: check which package provides it on the actual Oracle Linux image. Oracle identifies
sysstatformpstatandsar, and notes thatprocps-ngmay be needed forfree,topandvmstaton slim images. - An alarm does not notify: confirm its metric query, trigger configuration and destination setup. Alarm evaluation is once per minute, so it is not an instant host-level monitor.
These checks can reveal resource patterns, but the cited sources do not establish that any particular CPU or memory reading causes dropped YouTube frames. Investigate the VPS and stream behavior together rather than inferring a cause from one chart.
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