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Memcached Slab Eviction Sentinel

Audits Memcached slab class memory allocations and eviction rates, calculating cache starvation and alerting SREs on Slack before latency spikes.

Categories
CloudInfrastructure

In high-concurrency web tiers and distributed application backends, Memcached provides ultra-fast in-memory caching to shield primary databases from read overload. Memcached organizes its memory pool into discrete slab classes, where each class stores items within specific chunk size ranges (e.g. 96 bytes, 120 bytes, 150 bytes).

When incoming data patterns shift toward specific object sizes without slab rebalancing enabled, individual slab classes run out of free chunks even if total server RAM is plentiful. As a result, Memcached prematurely evicts active unexpired keys from the saturated slab class. These silent evictions trigger cache thundering herds: hundreds of application threads miss the cache simultaneously and slam backend relational databases with redundant expensive SQL queries.

This blueprint provides an automated caching reliability sentinel. Running on a recurrent ten-minute schedule, it communicates with Memcached daemons via the standard text protocol socket, inspects stats slabs outputs, quantifies key evictions across individual slab classes, and dispatches real-time alerts to SREs on Slack with slab automove configuration advice.

How it works

  1. Recurrent Pulse Trigger: The poll_memcached_slabs trigger (io.kestra.plugin.core.trigger.Schedule) initiates the audit every ten minutes.
  2. Memcached Slab Inspection: The scan_slab_eviction_metrics task (io.kestra.plugin.scripts.python.Script) opens a socket connection to port 11211, sending stats slabs to extract chunk usage and per-slab eviction counters.
  3. Eviction Gate: The evaluate_slab_evictions flowable task (io.kestra.plugin.core.flow.If) evaluates whether total or per-slab evictions exceed safe thresholds.
  4. Slack Incident Alert: When unmanaged evictions are discovered, alert_slack_slab_evictions (io.kestra.plugin.slack.notifications.SlackIncomingWebhook) dispatches an incident card detailing the saturated slab class and runtime tuning options (slab_reassign, slab_automove).
  5. Healthy Confirmation: When evictions remain below thresholds, log_healthy_memcached_slabs logs nominal cache health.
  6. Manifest Export: The export_slab_manifest task records execution state for platform telemetry pipelines.

Architecture diagram

flowchart TD
    A[Schedule: Every 10 Minutes] --> B[scan_slab_eviction_metrics: Memcached Stats Slabs]
    B --> C{Evictions Exceed Threshold?}
    C -- Yes --> D[alert_slack_slab_evictions: Slack Webhook]
    C -- No --> E[log_healthy_memcached_slabs: Log]
    D --> F[export_slab_manifest: Return JSON]
    E --> F

Use cases

  • Prevent Database Cache Stampedes: Detect premature key evictions before database read replicas suffer connection pool exhaustion.
  • Slab Chunk Sizing Optimization: Identify exact object sizes that require custom growth factors (-f factor) to maximize memory packing density.
  • Automated Memory Rebalancing Auditing: Verify that Memcached instances running with slab_automove=1 successfully migrate free memory pages to congested slab classes.

Inputs

Name Type Default Description
memcached_host STRING "localhost" Hostname or IP address of the target Memcached node.
memcached_port INT 11211 Network communication port exposing Memcached ascii commands.
max_evictions_threshold INT 100 Maximum allowable key eviction rate within interval before alerting.
slack_channel STRING "#caching-reliability" Slack channel destination for caching incident notifications.

Expected outputs

  • {{ outputs.scan_slab_eviction_metrics.vars.has_evictions }}: Boolean flag indicating if active evictions were detected.
  • {{ outputs.scan_slab_eviction_metrics.vars.total_evictions }}: Total number of evicted cache keys.
  • {{ outputs.scan_slab_eviction_metrics.vars.worst_slab }}: Slab class identifier suffering the highest eviction pressure.
  • {{ outputs.scan_slab_eviction_metrics.vars.worst_count }}: Count of evictions inside the worst slab class.
  • {{ outputs.scan_slab_eviction_metrics.outputFiles['memcached_slabs_report.json'] }}: Structured JSON diagnostic report.

Prerequisites

  • Memcached daemon reachable on TCP port 11211.
  • Incoming Webhook URL configured for your caching reliability Slack channel.

Secrets

  • SLACK_WEBHOOK_URL: Slack Incoming Webhook endpoint URL with permissions to post messages.

Quick start

  1. Configure SLACK_WEBHOOK_URL in your Kestra namespace secrets.
  2. Import this flow YAML into your Kestra workspace.
  3. Update memcached_host and memcached_port to match your caching cluster node.
  4. Click Execute in the UI to run an initial slab memory allocation probe.

Common pitfalls and troubleshooting

  • Slab Evictions vs Out of Memory: Memcached can experience high eviction rates even when total server memory usage is well below 100% due to slab class lock-in; enable slab_automove to mitigate.
  • Firewall and Network Access: Ensure worker security groups permit outbound TCP traffic to the Memcached port (11211) without proxy buffering.

How to extend

  • Add automated dynamic slab rebalancing triggers invoking slabs reassign <src> <dst> directly over the management socket.
  • Integrate with PagerDuty for critical alerting when overall cache hit ratio drops below 90%.
  • Loop across all caching cluster instances dynamically using a list input for fleet-wide auditability.

Links

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