131 lines
8.4 KiB
PHP
131 lines
8.4 KiB
PHP
<?php
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// Enhanced security headers
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// Session for CSRF token
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ini_set('session.cookie_samesite', 'Lax');
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ini_set('session.cookie_httponly', '1');
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ini_set('session.cookie_secure', '1');
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session_start();
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// Prevent caching - page contains session-specific tokens
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// Aggressive no-cache headers removed to improve SEO performance. Caching is now enabled.
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if (!isset($_SESSION['csrf_token'])) {
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$_SESSION['csrf_token'] = bin2hex(random_bytes(32));
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}
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header('Strict-Transport-Security: max-age=31536000; includeSubDomains');
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header('Content-Security-Policy: default-src \'self\'; script-src \'self\' \'unsafe-inline\' https://cdnjs.cloudflare.com https://www.googletagmanager.com https://www.google-analytics.com https://www.clarity.ms https://www.google.com https://www.gstatic.com; style-src \'self\' \'unsafe-inline\' https://fonts.googleapis.com; font-src \'self\' https://fonts.gstatic.com; img-src \'self\' data: https://www.google-analytics.com; connect-src \'self\' https://www.google-analytics.com https://analytics.google.com https://region1.google-analytics.com https://www.google.com; frame-src https://www.google.com;');
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// SEO and performance optimizations
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$page_title = "Apache Kafka Performance for Real-Time Streaming | UK Guide";
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$page_description = "A deep dive into Apache Kafka performance evaluation for real-time data streaming. Analyse throughput, latency, and tuning for UK enterprise systems.";
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$canonical_url = "https://ukdataservices.co.uk/blog/articles/performance-evaluation-apache-kafka-real-time-streaming.php";
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$keywords = "apache kafka performance, kafka real-time data streaming, kafka performance evaluation, kafka throughput, kafka latency, stream processing performance, kafka tuning uk";
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$author = "Analytics Engineering Team";
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$og_image = "https://ukdataservices.co.uk/assets/images/hero-data-analytics.svg";
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$twitter_card_image = "https://ukdataservices.co.uk/assets/images/hero-data-analytics.svg";
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$article_date = '2024-06-14'; // New article, new date
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$last_modified = '2024-06-14';
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$article_slug = 'performance-evaluation-apache-kafka-real-time-streaming';
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?>
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<!DOCTYPE html>
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<html lang="en-GB">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title><?php echo htmlspecialchars($page_title); ?> | UK Data Services</title>
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<meta name="description" content="<?php echo htmlspecialchars($page_description); ?>">
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<meta name="keywords" content="<?php echo htmlspecialchars($keywords); ?>">
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<meta name="author" content="<?php echo htmlspecialchars($author); ?>">
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<link rel="canonical" href="<?php echo $canonical_url; ?>">
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<meta property="og:title" content="<?php echo htmlspecialchars($page_title); ?>">
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<meta property="og:description" content="<?php echo htmlspecialchars($page_description); ?>">
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<meta property="og:type" content="article">
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<meta property="og:url" content="<?php echo $canonical_url; ?>">
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<meta property="og:image" content="<?php echo $og_image; ?>">
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<meta name="twitter:card" content="summary_large_image">
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<meta name="twitter:title" content="<?php echo htmlspecialchars($page_title); ?>">
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<meta name="twitter:description" content="<?php echo htmlspecialchars($page_description); ?>">
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<meta name="twitter:image" content="<?php echo $twitter_card_image; ?>">
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<link rel="stylesheet" href="/assets/css/main.min.css?v=1.1.4">
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
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<script type="application/ld+json">
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{
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"@context": "https://schema.org",
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"@type": "BlogPosting",
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"headline": "<?php echo htmlspecialchars($page_title); ?>",
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"description": "<?php echo htmlspecialchars($page_description); ?>",
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"image": "<?php echo $og_image; ?>",
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"datePublished": "<?php echo $article_date; ?>T09:00:00+00:00",
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"dateModified": "<?php echo $last_modified; ?>T09:00:00+00:00",
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"author": {
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"@type": "Person",
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"name": "<?php echo htmlspecialchars($author); ?>"
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},
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"publisher": {
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"@type": "Organization",
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"name": "UK Data Services",
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"logo": {
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"@type": "ImageObject",
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"url": "https://ukdataservices.co.uk/assets/images/logo.svg"
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}
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},
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"mainEntityOfPage": {
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"@type": "WebPage",
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"@id": "<?php echo $canonical_url; ?>"
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}
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}
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</script>
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</head>
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<body>
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<?php include($_SERVER['DOCUMENT_ROOT'] . '/includes/nav.php'); ?>
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<main>
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<article class="blog-article">
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<div class="container">
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<header class="article-header">
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<h1>A Deep Dive into Apache Kafka Performance for Real-Time Data Streaming</h1>
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<p class="article-lead">Understanding and optimising Apache Kafka's performance is critical for building robust, real-time data streaming applications. This guide evaluates the key metrics and tuning strategies for UK businesses.</p>
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</header>
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<div class="article-content">
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<section>
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<h2>Why Kafka Performance Matters</h2>
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<p>Apache Kafka is the backbone of many modern data architectures, but its 'out-of-the-box' configuration is rarely optimal. A proper performance evaluation ensures your system can handle its required load with minimal latency, preventing data loss and system failure. For financial services, e-commerce, and IoT applications across the UK, this is mission-critical.</p>
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</section>
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<section>
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<h2>Key Performance Metrics for Kafka</h2>
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<p>When evaluating Kafka, focus on these two primary metrics:</p>
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<ul>
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<li><strong>Throughput:</strong> Measured in messages/second or MB/second, this is the rate at which Kafka can process data. It's influenced by message size, batching, and hardware.</li>
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<li><strong>Latency:</strong> This is the end-to-end time it takes for a message to travel from the producer to the consumer. Low latency is crucial for true real-time applications.</li>
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</ul>
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</section>
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<section>
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<h2>Benchmarking and Performance Evaluation Techniques</h2>
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<p>To evaluate performance, you must benchmark your cluster. Use Kafka's built-in performance testing tools (<code>kafka-producer-perf-test.sh</code> and <code>kafka-consumer-perf-test.sh</code>) to simulate load and measure throughput and latency under various conditions.</p>
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<p>Key variables to test:</p>
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<ul>
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<li><strong>Message Size:</strong> Test with realistic message payloads.</li>
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<li><strong>Replication Factor:</strong> Higher replication improves durability but can increase latency.</li>
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<li><strong>Acknowledgement Settings (acks):</strong> `acks=all` is the most durable but has the highest latency.</li>
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<li><strong>Batch Size (producer):</strong> Larger batches generally improve throughput at the cost of slightly higher latency.</li>
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</ul>
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</section>
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<section>
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<h2>Essential Kafka Tuning for Real-Time Streaming</h2>
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<p>Optimising Kafka involves tuning both producers and brokers. For producers, focus on `batch.size` and `linger.ms` to balance throughput and latency. For brokers, ensure you have correctly configured the number of partitions, I/O threads (`num.io.threads`), and network threads (`num.network.threads`) to match your hardware and workload.</p>
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<p>At UK Data Services, we specialise in building and optimising high-performance data systems. If you need expert help with your Kafka implementation, <a href="/contact.php">get in touch with our engineering team</a>.</p>
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</section>
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</div>
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</div>
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</article>
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</main>
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<?php include($_SERVER['DOCUMENT_ROOT'] . '/includes/footer.php'); ?>
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<script src="/assets/js/main.min.js?v=1.1.1"></script>
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</body>
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</html>
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