https://blog.devops-monk.com/tags/production/Recent content in Production on Devops MonkHugoen-usMon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-security/actuator-security-production/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-security/actuator-security-production/The Actuator Security Problem Spring Boot Actuator exposes endpoints that reveal sensitive information about your application — environment variables, configuration properties, heap dumps, thread dumps, and the ability to shut down the application remotely. An exposed /actuator/env endpoint can leak database passwords, API keys, and JWT signing secrets. An exposed /actuator/shutdown is a denial-of-service button. Actuator security is not optional in production. Actuator Endpoints and Their Risk Level Endpoint Exposes Risk /actuator/health Application health Low — often public /actuator/info App metadata Low /actuator/metrics JVM/HTTP metrics Medium — business data /actuator/env All configuration properties (including secrets) Critical /actuator/configprops All @ConfigurationProperties values Critical /actuator/loggers Log levels (writable) High /actuator/heapdump Full JVM heap as a file Critical /actuator/threaddump Thread state Medium /actuator/mappings All URL mappings Medium — reveals API surface /actuator/shutdown Kills the JVM Critical /actuator/auditevents Security events High Step 1: Expose Only What You Need By default, only health is exposed over HTTP.https://blog.devops-monk.com/tutorials/java11/production-best-practices/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/java11/production-best-practices/Production Readiness Checklist [ ] JDK distribution chosen and version pinned [ ] Heap and Metaspace sized correctly [ ] GC selected and tuned for your workload [ ] Container-aware JVM flags set [ ] AppCDS archive built for faster startup [ ] JFR always-on recording configured [ ] GC logging enabled with rotation [ ] Security-related algorithms locked down [ ] Thread and connection pool sizes verified [ ] JVM exit flags prevent silent crashes Baseline JVM Flags for Java 11 Start with these flags and tune from here:https://blog.devops-monk.com/tutorials/java17/production-best-practices/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/java17/production-best-practices/Production Baseline JVM Flags Start every Java 17 production deployment with this baseline: java \ # GC — choose one (see GC section) -XX:+UseG1GC \ -XX:MaxGCPauseMillis=200 \ \ # Heap sizing -Xms4g -Xmx4g \ \ # GC logging — essential for diagnosis -Xlog:gc*:file=/var/log/app/gc.log:time,uptime,level,tags:filecount=5,filesize=20m \ \ # OOM diagnostics -XX:+HeapDumpOnOutOfMemoryError \ -XX:HeapDumpPath=/var/log/app/heap-dump.hprof \ -XX:+ExitOnOutOfMemoryError \ \ # Metaspace -XX:MaxMetaspaceSize=512m \ \ # Code cache -XX:ReservedCodeCacheSize=512m \ \ # JFR — always-on profiling -XX:StartFlightRecording=duration=0,filename=/var/log/app/profile.https://blog.devops-monk.com/tutorials/java21/production-best-practices/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/java21/production-best-practices/The Production Mindset Migrating to Java 21 unlocks new capabilities, but production readiness requires deliberate configuration. The JVM defaults are conservative — designed to work reasonably across a wide range of workloads, not to be optimal for any specific one. This article covers: Which JVM flags to set for every production Java 21 deployment GC selection and tuning for different workload profiles Virtual thread configuration and monitoring Container-aware JVM settings Observability and profiling Startup and memory optimization JVM Flags: The Production Baseline Start every Java 21 production deployment with this baseline flag set:https://blog.devops-monk.com/tutorials/spring-kafka/production-best-practices/Mon, 04 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-kafka/production-best-practices/Before You Ship This is the checklist distilled from everything in this series. Work through it before your first production deployment. Each item links to the article where it’s covered in depth. Producer Checklist Durability # Never lose data on leader failure spring.kafka.producer.acks=all # At least 2 brokers must acknowledge every write spring.kafka.producer.properties.min.insync.replicas=2 # Enables exactly-once message delivery (required for transactions) spring.kafka.producer.properties.enable.idempotence=true Do: Set acks=all and min.insync.replicas=2 for any topic that carries business data.https://blog.devops-monk.com/tutorials/spring-boot/spring-boot-production-readiness/Sun, 03 May 2026 00:00:00 +0000https://blog.devops-monk.com/tutorials/spring-boot/spring-boot-production-readiness/An application that starts and serves traffic is not production-ready. Production readiness means it shuts down cleanly, handles spikes, recovers from transient failures, and gives you visibility into what it’s doing. This article covers the operational layer. Graceful Shutdown When Kubernetes terminates a pod, it sends SIGTERM. Without graceful shutdown, in-flight requests are killed mid-execution — users see 500 errors or dropped writes. Enable graceful shutdown: server: shutdown: graceful # wait for in-flight requests to complete spring: lifecycle: timeout-per-shutdown-phase: 30s # max wait before forcing shutdown With this configured, Spring Boot: