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🧑‍💻 Building a Java application that needs image effects? Learn a straightforward way to add Gaussian blur to your processing pipeline. #Java #SoftwareDevelopment
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🔍 Observability changes when you can inspect a workflow execution instead of piecing together what happened from messages, logs, retries, and database records. #Observability #DistributedSystems
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📈 Modern JVM optimizations continue to narrow the gap between traditional assumptions about Java and lightweight native runtimes. #JVM
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🔥 Java can handle more than backend services. Dive into image manipulation with a practical fast Gaussian blur example. #Java #JavaDevelopment
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☕ Temporal brings workflow execution into application code, while Conductor uses workflow definitions and workers. Both tackle the problem of making execution state durable. #Temporal #Conductor
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🛠️ Go's simplicity and Java's mature JVM ecosystem offer very different trade-offs for microservice teams. #SoftwareEngineering
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📐 A Gaussian kernel determines how much surrounding pixels influence the result. See how that idea translates into Java code. #Java #ImageProcessing
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🔥 The hard part isn't starting a job. The hard part is making sure a multi-step process eventually reaches a correct state despite crashes, retries, duplicates, and partial failures. #Reliability
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🔍 Throughput, tail latency, CPU consumption, memory usage, and startup time tell a much better story than a single benchmark number. #Microservices
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💡 Want to understand image convolution without getting buried in theory? This Java Gaussian blur example puts the concept into working code. #Java #Programming
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📦 Kafka, RabbitMQ, SQS, and other queues solve important messaging problems. But messaging infrastructure alone doesn't define or preserve the complete business workflow. #Messaging #Architecture
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🔥 Don't trust language stereotypes. Benchmark the workload you're actually running in production. #PerformanceEngineering
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⚙️ Performance matters when processing large images. Explore techniques for making Gaussian blur faster in Java. #Java #Performance
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🔧 Without durable orchestration, teams often end up building their own state persistence, retry logic, timeout handling, reconciliation jobs, and recovery mechanisms. #SoftwareEngineering #DistributedSystems
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💾 Memory footprint matters when you're running hundreds or thousands of service instances. #CloudComputing
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