{"id":445,"date":"2025-06-24T08:51:50","date_gmt":"2025-06-24T08:51:50","guid":{"rendered":"https:\/\/sreschool.com\/blog\/?p=445"},"modified":"2026-05-05T07:29:42","modified_gmt":"2026-05-05T07:29:42","slug":"load-shedding-in-devsecops-a-complete-tutorial","status":"publish","type":"post","link":"https:\/\/sreschool.com\/blog\/load-shedding-in-devsecops-a-complete-tutorial\/","title":{"rendered":"Load Shedding in DevSecOps: A Complete Tutorial"},"content":{"rendered":"\n

1. Introduction & Overview<\/strong><\/h1>\n\n\n\n

What is Load Shedding?<\/h3>\n\n\n\n

Load Shedding<\/strong> in software systems refers to the intentional dropping of lower-priority requests or workloads<\/strong> to protect the overall system from overload or failure. This approach ensures that critical operations remain functional<\/strong>, even when system resources are heavily constrained.<\/p>\n\n\n\n

In the context of DevSecOps<\/strong>, load shedding helps ensure system resilience<\/strong>, security under stress<\/strong>, and compliance with SLAs (Service Level Agreements)<\/strong>, particularly during high load or attacks such as DDoS.<\/p>\n\n\n\n

History or Background<\/h3>\n\n\n\n
    \n
  • Origin<\/strong>: Originally a power grid concept, “load shedding” was adapted into distributed computing for gracefully degrading service<\/strong> during load spikes.<\/li>\n\n\n\n
  • Adopted by cloud platforms<\/strong> (e.g., Netflix OSS, Google SRE) to prevent system crashes<\/strong> during scaling events or cyberattacks.<\/li>\n\n\n\n
  • Became a key technique in modern reliability engineering<\/strong> and DevSecOps resilience strategies<\/strong>.<\/li>\n<\/ul>\n\n\n\n

    Why Is It Relevant in DevSecOps?<\/h3>\n\n\n\n
      \n
    • Prevents resource starvation attacks<\/strong><\/li>\n\n\n\n
    • Ensures continuous security checks<\/strong> even under pressure<\/li>\n\n\n\n
    • Maintains compliance SLAs<\/strong> for high-priority users<\/li>\n\n\n\n
    • Avoids data corruption<\/strong> by dropping unsafe requests under pressure<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      2. Core Concepts & Terminology<\/strong><\/h2>\n\n\n\n

      Key Terms and Definitions<\/h3>\n\n\n\n
      Term<\/th>Definition<\/th><\/tr><\/thead>
      Load Shedding<\/td>Intentionally rejecting requests to protect system health<\/td><\/tr>
      Circuit Breaker<\/td>A pattern that stops traffic flow to failing components<\/td><\/tr>
      Rate Limiting<\/td>Controls how many requests a client can send<\/td><\/tr>
      Graceful Degradation<\/td>Maintaining core functionality while limiting others<\/td><\/tr>
      Backpressure<\/td>Technique to control data flow to prevent overload<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

      How it Fits into the DevSecOps Lifecycle<\/h3>\n\n\n\n
      Phase<\/th>Role of Load Shedding<\/th><\/tr><\/thead>
      Plan<\/strong><\/td>Design for failure<\/td><\/tr>
      Develop<\/strong><\/td>Code fallback logic<\/td><\/tr>
      Build<\/strong><\/td>Automate stress tests<\/td><\/tr>
      Test<\/strong><\/td>Include performance + chaos scenarios<\/td><\/tr>
      Release<\/strong><\/td>Deploy with feature flags<\/td><\/tr>
      Deploy<\/strong><\/td>Configure load-shedding thresholds<\/td><\/tr>
      Operate<\/strong><\/td>Monitor real-time health<\/td><\/tr>
      Secure<\/strong><\/td>Prevent overload-based denial-of-service<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
      \n\n\n\n

      3. Architecture & How It Works<\/strong><\/h2>\n\n\n\n

      Components<\/h3>\n\n\n\n
        \n
      • Load Monitor<\/strong>: Monitors CPU, memory, latency<\/li>\n\n\n\n
      • Load Shedding Policy<\/strong>: Defines when and what to shed<\/li>\n\n\n\n
      • Priority Queue Manager<\/strong>: Decides which requests to drop<\/li>\n\n\n\n
      • Fallback Services<\/strong>: Optional degraded services<\/li>\n<\/ul>\n\n\n\n

        Internal Workflow<\/h3>\n\n\n\n
        flowchart LR\nA[Incoming Requests] --> B{Check System Load}\nB -->|Healthy| C[Process Request]\nB -->|Overloaded| D{Request Priority}\nD -->|Low| E[Drop Request]\nD -->|High| F[Route to Fallback or Retry]\n<\/code><\/pre>\n\n\n\n
        Integration Points with CI\/CD or Cloud Tools<\/h3>\n\n\n\n
        Tool<\/th>Integration<\/th><\/tr><\/thead>
        Kubernetes<\/strong><\/td>HPA + Istio + Retry Budget with Load Shedding filters<\/td><\/tr>
        Istio \/ Envoy<\/strong><\/td>Built-in load shedding via outlier detection<\/td><\/tr>
        AWS \/ GCP \/ Azure<\/strong><\/td>Auto-scaling, throttling policies, App Gateway<\/td><\/tr>
        GitHub Actions<\/strong><\/td>Can trigger load tests during CI<\/td><\/tr>
        Prometheus + Alertmanager<\/strong><\/td>Monitoring CPU\/mem to trigger actions<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
        \n\n\n\n
        4. Installation & Getting Started<\/strong><\/h2>\n\n\n\n
        Basic Setup or Prerequisites<\/h3>\n\n\n\n
          \n
        • Kubernetes cluster or microservice architecture<\/li>\n\n\n\n
        • Istio or Envoy proxy setup<\/li>\n\n\n\n
        • Observability: Prometheus, Grafana<\/li>\n\n\n\n
        • CI\/CD pipeline for test\/deploy automation<\/li>\n<\/ul>\n\n\n\n
          Step-by-Step: Load Shedding with Envoy Proxy (Basic)<\/h3>\n\n\n\n
            \n
          1. Install Envoy<\/strong><\/li>\n\n\n\n
          2. Configure a basic filter<\/strong> in your Envoy YAML:<\/li>\n<\/ol>\n\n\n\n
            overload_manager:\n  refresh_interval: 0.25s\n  resource_monitors:\n    - name: \"envoy.resource_monitors.fixed_heap\"\n      typed_config:\n        \"@type\": type.googleapis.com\/envoy.extensions.resource_monitors.fixed_heap.v3.FixedHeapConfig\n        max_heap_size_bytes: 2147483648\n  actions:\n    - name: \"envoy.overload_actions.shed_load\"\n      triggers:\n        - name: \"envoy.resource_monitors.fixed_heap\"\n          threshold:\n            value: 0.95\n<\/code><\/pre>\n\n\n\n
              \n
            1. Test with Load Generator<\/strong> like hey<\/code> or wrk<\/code>:<\/li>\n<\/ol>\n\n\n\n
              hey -n 100000 -c 100 http:\/\/your-service-url\n<\/code><\/pre>\n\n\n\n
                \n
              1. Observe behavior<\/strong> in logs and dashboards.<\/li>\n<\/ol>\n\n\n\n
                \n\n\n\n
                5. Real-World Use Cases<\/strong><\/h2>\n\n\n\n
                Use Case 1: Security Under Load<\/h3>\n\n\n\n
                During a penetration test, load spikes<\/strong> occur. Load shedding ensures authentication and logging services remain live while rate-limiting low-priority scan traffic.<\/p>\n\n\n\n
                Use Case 2: Multi-Tenant SaaS<\/h3>\n\n\n\n
                SaaS app for enterprise users gives SLAs<\/strong> to premium customers. Load shedding deprioritizes free-tier users during resource contention.<\/p>\n\n\n\n
                Use Case 3: Healthcare System<\/h3>\n\n\n\n
                A hospital management system during a pandemic sees traffic spikes. Non-critical features like report download are temporarily shed to maintain EMR updates<\/strong>.<\/p>\n\n\n\n
                Use Case 4: E-commerce DDoS Mitigation<\/h3>\n\n\n\n
                During a flash sale, bot traffic causes overload. System uses load shedding + CAPTCHA + rate limiting<\/strong> to ensure genuine user access.<\/p>\n\n\n\n
                \n\n\n\n
                6. Benefits & Limitations<\/strong><\/h2>\n\n\n\n
                Key Advantages<\/h3>\n\n\n\n
                  \n
                • Maintains system stability under stress<\/strong><\/li>\n\n\n\n
                • Supports zero-downtime availability goals<\/strong><\/li>\n\n\n\n
                • Improves QoS<\/strong> for premium users<\/li>\n\n\n\n
                • Easy to integrate with SRE, DevSecOps<\/strong>, and Zero Trust<\/strong><\/li>\n<\/ul>\n\n\n\n
                  Common Challenges<\/h3>\n\n\n\n
                    \n
                  • Risk of unintended service denial<\/strong> to legit users<\/li>\n\n\n\n
                  • Requires accurate priority definition<\/strong><\/li>\n\n\n\n
                  • Needs careful testing in staging\/stress environments<\/strong><\/li>\n<\/ul>\n\n\n\n
                    \n\n\n\n
                    7. Best Practices & Recommendations<\/strong><\/h2>\n\n\n\n
                    Security & Performance<\/h3>\n\n\n\n
                      \n
                    • Always log<\/strong> shed requests for audit<\/li>\n\n\n\n
                    • Add fallback services<\/strong> where possible<\/li>\n\n\n\n
                    • Integrate with WAF or API gateway rules<\/strong><\/li>\n<\/ul>\n\n\n\n
                      Maintenance<\/h3>\n\n\n\n
                        \n
                      • Use feature flags<\/strong> to enable\/disable policies<\/li>\n\n\n\n
                      • Regularly update thresholds<\/strong> based on metrics<\/li>\n<\/ul>\n\n\n\n
                        Compliance<\/h3>\n\n\n\n
                          \n
                        • Avoid shedding audit<\/strong>, encryption<\/strong>, or PII access services<\/strong><\/li>\n\n\n\n
                        • Ensure logs are preserved<\/strong> for compliance audits<\/li>\n<\/ul>\n\n\n\n
                          Automation Ideas<\/h3>\n\n\n\n
                            \n
                          • Auto-enable shedding when latency > 500ms<\/strong><\/li>\n\n\n\n
                          • Send alerts<\/strong> if load shedding exceeds 5% of total traffic<\/li>\n<\/ul>\n\n\n\n
                            \n\n\n\n
                            8. Comparison with Alternatives<\/strong><\/h2>\n\n\n\n
                            Feature<\/th>Load Shedding<\/th>Rate Limiting<\/th>Circuit Breaker<\/th><\/tr><\/thead>
                            Focus<\/td>System health<\/td>Per-client fairness<\/td>Service isolation<\/td><\/tr>
                            Granularity<\/td>Request-level<\/td>IP\/user-level<\/td>Service-level<\/td><\/tr>
                            Priority Support<\/td>\u2705<\/td>\u274c<\/td>\u274c<\/td><\/tr>
                            Stateful Decisions<\/td>\u2705<\/td>\u274c<\/td>\u2705<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                            When to Choose Load Shedding<\/h3>\n\n\n\n
                              \n
                            • You need smart shedding<\/strong> based on system health<\/strong><\/li>\n\n\n\n
                            • You want to preserve core security services<\/strong><\/li>\n\n\n\n
                            • You’re dealing with burst attacks or Black Friday events<\/strong><\/li>\n<\/ul>\n\n\n\n
                              \n\n\n\n
                              9. Conclusion<\/strong><\/h2>\n\n\n\n
                              Final Thoughts<\/h3>\n\n\n\n
                              Load shedding is a critical reliability and security feature<\/strong> in DevSecOps for ensuring that your systems remain available, secure, and compliant<\/strong> even under extreme load.<\/p>\n\n\n\n
                              Incorporating load shedding into your pipeline and runtime can save your application<\/strong> from downtime, protect your users<\/strong>, and preserve trust<\/strong>.<\/p>\n\n\n\n
                              Future Trends<\/h3>\n\n\n\n
                                \n
                              • AI-driven shedding policies<\/strong><\/li>\n\n\n\n
                              • Dynamic SLA-aware routing<\/strong><\/li>\n\n\n\n
                              • Integration with service mesh security contexts<\/strong><\/li>\n<\/ul>\n\n\n\n
                                \n\n\n\n
                                <\/p>\n","protected":false},"excerpt":{"rendered":"
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Load Shedding in software systems refers to the intentional dropping of lower-priority […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-445","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nLoad Shedding in DevSecOps: A Complete Tutorial - SRE School<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sreschool.com\/blog\/load-shedding-in-devsecops-a-complete-tutorial\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Load Shedding in DevSecOps: A Complete Tutorial - SRE School\" \/>\n<meta property=\"og:description\" content=\"1. 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