Instana 增加了基于 Arm 的主机支持，用于监视和跟踪 Amazon Graviton2 上的 PHP 服务

{"value":"由克里斯·法雷尔\n**2020年12月15日**\n\n### **Instana 添加了基于 ARM 的主机支持，用于在 Amazon Graviton2 上监视和跟踪 PHP 服务**\n#### **第一个自动在基于 ARM 的处理器上进行本机跟踪和配置的应用程序监视和可观察性解决方案**\n新闻发布首页\n**伊利诺伊州芝加哥市-2020年12月15日**-面向云原生微服务应用程序的自动化应用程序监视和可观察性解决方案的领先提供商 Instana 今天宣布支持在 Amazon 的 Amazon Graviton2 上监视和跟踪 PHP 应用程序。Instana 是第一个支持基于 ARM 的处理器的 Instana 版本，今天宣布的基于 ARM 的监视传感器使 Instana 成为第一个可支持对 Amazon Graviton2 上运行的 PHP 工作负载进行自动分布式跟踪的可观察性和监视解决方案。\n\nInstana 董事兼 APM 策略师 Chris Farrell 表示：“云基础架构和平台的不断发展需要开发人员和运维团队使用工具来跟上发展。” “不仅是性能指标，Instana 的用于 Amazon Graviton2 的新型 PHP 监视和跟踪传感器还提供了 DevOps 管理关键任务应用程序所需的可观察性。”\n\n与其他所有托管工作负载一样，Instana 的适用于 Amazon Graviton2 的 PHP 传感器可监视基础架构和应用程序性能（包括深度代码可见性），捕获每个请求的痕迹并配置每个流程。用于其他基于 ARM 的环境的 Instana 传感器有望在将来投入使用。\n\nInstana 的企业可观察性平台由自动化的应用程序性能监控提供支持，可自动发现并映射所有服务，基础架构及其相互依赖性。Instana 摄取所有可观察性指标，跟踪每个请求，描述每个流程并实时更新应用程序依赖关系图，以提供开发人员和运维人员所需的上下文和可操作的反馈，以优化应用程序性能，实现创新并降低风险，从而帮助他们增加价值和效率到管道。\n\n今天的公告与 Amazon re：Invest 的最后一周相吻合，是有关 Amazon Amazon 生态系统的应用程序监视和可观察性的一系列公告中的第三篇。上周，Instana 成为第一个本地跟踪在 Amazon Lambda 上运行的 Java，Go，Python 和 Node.js 应用程序的解决方案。在前一周，Instana 宣布推出新的 Amazon Marketplace 产品。\n\n在 [https://instana.com](https://instana.com) 上了解有关 Instana，企业可观察性平台和自动应用程序监视的更多信息。\n\n::: hljs-center\n\n\n\n:::\n","render":"<p>由克里斯·法雷尔<br />\n<strong>2020年12月15日</strong></p>\n<h3><a id=\"Instana__ARM__Amazon_Graviton2__PHP__3\"></a><strong>Instana 添加了基于 ARM 的主机支持，用于在 Amazon Graviton2 上监视和跟踪 PHP 服务</strong></h3>\n<h4><a id=\"_ARM__4\"></a><strong>第一个自动在基于 ARM 的处理器上进行本机跟踪和配置的应用程序监视和可观察性解决方案</strong></h4>\n<p>新闻发布首页<br />\n<strong>伊利诺伊州芝加哥市-2020年12月15日</strong>-面向云原生微服务应用程序的自动化应用程序监视和可观察性解决方案的领先提供商 Instana 今天宣布支持在 Amazon 的 Amazon Graviton2 上监视和跟踪 PHP 应用程序。Instana 是第一个支持基于 ARM 的处理器的 Instana 版本，今天宣布的基于 ARM 的监视传感器使 Instana 成为第一个可支持对 Amazon Graviton2 上运行的 PHP 工作负载进行自动分布式跟踪的可观察性和监视解决方案。</p>\n<p>Instana 董事兼 APM 策略师 Chris Farrell 表示：“云基础架构和平台的不断发展需要开发人员和运维团队使用工具来跟上发展。” “不仅是性能指标，Instana 的用于 Amazon Graviton2 的新型 PHP 监视和跟踪传感器还提供了 DevOps 管理关键任务应用程序所需的可观察性。”</p>\n<p>与其他所有托管工作负载一样，Instana 的适用于 Amazon Graviton2 的 PHP 传感器可监视基础架构和应用程序性能（包括深度代码可见性），捕获每个请求的痕迹并配置每个流程。用于其他基于 ARM 的环境的 Instana 传感器有望在将来投入使用。</p>\n<p>Instana 的企业可观察性平台由自动化的应用程序性能监控提供支持，可自动发现并映射所有服务，基础架构及其相互依赖性。Instana 摄取所有可观察性指标，跟踪每个请求，描述每个流程并实时更新应用程序依赖关系图，以提供开发人员和运维人员所需的上下文和可操作的反馈，以优化应用程序性能，实现创新并降低风险，从而帮助他们增加价值和效率到管道。</p>\n<p>今天的公告与 Amazon re：Invest 的最后一周相吻合，是有关 Amazon Amazon 生态系统的应用程序监视和可观察性的一系列公告中的第三篇。上周，Instana 成为第一个本地跟踪在 Amazon Lambda 上运行的 Java，Go，Python 和 Node.js 应用程序的解决方案。在前一周，Instana 宣布推出新的 Amazon Marketplace 产品。</p>\n<p>在 <a href=\"https://instana.com\" target=\"_blank\">https://instana.com</a> 上了解有关 Instana，企业可观察性平台和自动应用程序监视的更多信息。</p>\n<div class=\"hljs-center\">\n<p><img 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F97A5cZ1bJxkuCe9WKy12KxVfLFpC9lZJubDUlaCa3ScRLp7erFZq0iHhroaHB2dLBXXyBjJUEJhGpq2U1y4mpYdzRTk5TAflrISWtocJOI6No6qRpFlicViJAW+QJDunl7mQ1WjODo6sVg3MTQyRjrJssTmuhqWSkN9DelkKV1LQV4OlxP3pBdVjTIffQNOLNZNODo6UdUoyaooLUGSMkjEFwiSLrIssbmuhqXiGh1nPtyTXizWWuw7WlFCYZKVnWUiPzeHRFQ1iu9EkMVkJAW+EydJlRIK09C0naGRMd6LOSuTxdTc1IgkZZCKgtwc3kt2lonNdTWkgyRl0N7WwkIV5OagxZyVSbqoahRHRycW6yaGRsZIhixLVJSWoEUJhUmX5qZGJCmDVMiShBZVjZKqvgEnFusmHB2dJKuhvgYt7kkvi8lICrKzTCxU14sHeS/ZWSa0yFIG8yXLEu1tLcyX2ZSJLEtcTHNTI/m5OSwlScqgva0FWZZYKFmWkKQMEinI/STzVZCbw0IooTANTdtJlu2uKhIxmzLJzjKRClnKYL5kWaK9rYX5kqQMCvJy0CLLEmZTJqlS1SiOjk7ck16SUVFagiRlkEh+bg6LyUgKCnJzkKQMFiI7y8TF2JsamUuSMrBZq0hFRVkJ/T3PI0kZJKvl0WaSIcsSh3qep3p9JUuh6MZVDA8epKKshMXS3taCJGUw2+a6GgrycpgvWZZo2WFnoZRQmGQUF65mc10Ns0lSBt1f38vF2JsamUuSMrBZq0hFRVkJ/T3PI0kZJKv10WYupv2pFiQpg4WIqFGSIcsS7W0tzFW9vpKKshIWk0G8ixT4AkEcHc/zg0kv0egp5iM/N4f2thYK8nK4mL4BJ+4JL0oozE1rbqChrgZZllgIVY0yNDpG37edqNFT+E8EmavoxlU01NdSUVbCfCmhMF0v9uILnMR3Ikg0eor5kqQMCnJzKMj7JAV5OdisVSwFJRRmKvRbImqU7CwTBXk5LMTQyBiukTGUUJj5aqivpaKshPlwT3pxT3qJqbZWkp1lIhl9A07cE16UUJib1txAQ10NsiyxEKoaZWh0jL5vO1Gjp/CfCDJX0Y2raKivpaKshGT4AkH6Bpz4AieZr5vW3IC9qZH58AWCuCd/hBo9RXHhaooLV7PYDOJd6NChQ0caGNGhQ4eONDGiQ4cOHWliRIcOHTrSxIgOHTp0pIkRHTp06EgTIzp0/Ek5f/48MefOnUNH2hnEu9Ch40/azMwMRqMRHUvOIN7FJTA1NUU4FCJGkiTy8vNRVZUTgQCz5eblIcsyMVNTU4RDIQrXrGE2VVU5EQiQm5eHLMvMpaoqI0ePMqVMUVRcROGaNej4kyGEwGAwcDFnz55lxYoV6FhSRi6R0NQUh/r6edjejN/vJybg9/OwvRmP243H7eZQXz9rb74FVVWJ+fahQ9RuvIfDhw4x2zcPHKB24z0E/H7mmpqaYtM9Nfh9PkDwjKOdL21/GB1/MgwGA3FNTU3M9vjjj+NwOIhZsWIFl4Pz58+TDCEES+Hs2bNMT08TI4QgESEEqqqSErEAiqKICY9HKIoiEvG43UJRFKHF43aLGttGEedxu0WNbaOYrca2URzo7hYxz7a3i4ftzeK2m24WkUhExCiKIiorPidqbBuFx+0Wcz1sbxYHurvFbP/c2ioikYiI8/t8YsLjEYkoiiImPB4R5/f5hN/nE4n4fT7h9/nEXH6fT0x4PCISiYi5IpGImPB4RCQSETqx6M6dOyfiZmZmxFxvvfWW+NWvfiXiTp48KS616elpceHCBRETDodFW1ubSGT//v1ienpajI6OigsXLoh//Md/FKm6cOGC+MIXviBmZmbEc889J3p7e8V///d/i6GhIXH69GmRiKqqIi4SiYi2tjZx9uxZcTHLSdHhQ4f4WvszrLOUc9Q1zINffIi7N2wg5uMfvY677r4bVVWZ8Hh4eu8e1pWXk6r8/HzizNlmoIhvHjjAgw89xNfan+HezfdxuP8QiRwdHubBLz7EbI/t3EncI83bmZqawmw287C9mZe+9TJms5mvPfMMfp+fGFVViUaj3Hvf5znqGiY0NUV+QQFf3fMvxNRuvIcYWZYJTU0hf+hDvPRyLzGPNG9namoKs9nMhMfD/hc6ycvPZ8Lj4cnWJ5BkmZgTgQDfffUVYjZtvIfx779G3Nqbb+Glb72M2WxGx7wcP36cNWvWEGMwGJjrIx/5CMuWLWP37t3YbDZMJhNCCAwGA/MxPT3Nrl27ePLJJ0nVa6+9xltvvcVzzz2HwWBg3759fOITn+CRRx4hRghBjMFg4I9//CNnzpzBaDTy2c9+lpienh5mO378OAcPHsRut3PvvfcSs3v3br7//e/zyiuvELNr1y5uvvlmli1bhsPhwGAw0NjYiMFgIKa8vByv18sNN9xAzM6dOzl9+jSPP/44drud3bt3c/ToUfr7+7n//vv54Ac/yEWJFPl9PhGJRESM3+cTlRWfE3Ef+5uPikgkImKGXS5RY9soEvG43aLGtlHEedxusfbmW8Sz7c+IZ9ufEfdvaRQP25tF3LPt7eLZ9nYRiUTEbTfdLPw+n7jtpptFTI1to/C43WKuj/3NR4WWQ/39YmvDFhF3qL9fbG3YImKebW8XD9ubRVxlxefEge5uEXfbTTeLSCQiYmpsG8WwyyXiamwbxaH+fhHjcbtF3IHubvFse7uI8bjdorLicyLuYXuzeLa9XcRsbdgi/D6fiPH7fKLGtlHoREr+/d//XbyXxx57TGg5c+aMSMa5c+eE1+sVXV1dYmpqSizEj3/8Y/H666+LmJmZGeHxeMRLL70kJiYmxOOPPy5GR0dFzI9+9CPx1ltviTfeeEPcf//94tSpU8JisQiLxSLWrVsn/H6/iDtz5oyoq6sTcQMDA8LpdIrZ/uEf/kF885vfFH6/X6xbt06Ul5eLiooKsW7dOlFeXi5+/vOfi7nOnz8vYk6fPi3Onj0rkrWcFOXl5xPw+xkJBJhSpggEAswmyzIx68rLeaBxK8mSJIk1RWuIWVO0hidbn+Do8DDrysuJk2WZu6s3sOmeGr66519IVcDvJ78gn7i7N2zgydYniDNnm4lbZyknPz+fuCyzmYDfz5qiImJkWSauqLiI0NQUMXn5+UxOTOD3+TnhD5BlziJOkmXizNlm4tZZyjl86BCP7dzJ4UOHuLt6AzpSsmrVKrQ88sgjPP3008QMDw9TXl5O3NmzZ1mxYgVnz55lxYoVvJdf/epX/O53v6O8vJzXXnuNjRs3EuN0OgmFQoTDYZ544gm6u7u56qqrqK2t5eTJk/zyl79k1apVvPbaa9x+++2sXLmSgoICjEYj09PTvP766/zxj3/k+uuvJxKJYDAY+PSnP80f/vAHfvvb33L69Gl6enrYsmULK1euZOXKlRw+fJgYo9FI3IoVK/jGN75B3J133slcra2tXHfddRgMBoaGhjAajcTMzMxgMBgwGAx0dHTgdrtpbGxk1apV7Nq1i0AgwPT0NFdffTUxFouFBx54gPeynBTdv6WRmLurN7CmaA2LRZJl1hQVEXfv5vv4RvcB1pWXM9u9992H3+dnXXk570WSJFRVRZZl0k1VVTZtvIe7qjeQn5+PQBBVVS5mXXk5T7Y+wWM7d3LUNcyDDz2EjpRcc801zMzMYDQamevpp58mrry8nLjjx4/zsY99jBUrVrBixQouZnR0lL/+678mOzubn/3sZ2zcuBEhBP/6r//Khg0baGpqQgjBt771LbZt28bMzAwHDhzg2muv5bbbbuOqq67i2LFjXH311bzxxht8+tOf5qtf/SrLli2jv7+fSCTCq6++yu23344kSUxMTHDttddy8803c9tttxE3ODjIbHv27EGWZYqKiti+fTtGo5Enn3yS73//+7zyyisYjUbKysrYvn07119/PUIIQqEQjY2N/MVf/AXPP/88n//856mtraWyspKmpiaampqI+/KXv4wsy3zgAx9gPpaTopGjR/nFr39FjKqqLJWA34/ZbGYuWZbZ/0InF/P5zffxzQMHePChh4hRVZUHGrfy1T3/Ql5+PhNuD3ETHg9riopYqCllijXFRQT8fiRZ5vP33UfM1NQUUVXlYmRZZl15Od84cIC8/HxkWUZHyqanpzEajSRr1apVzPbLX/6S66+/Hi0PPPAAcZmZmfz+97/nz/7sz5ienqa+vp7ly5cjhMBoNFJVVYUQguXLl1NeXs4111zDhz70Id58800+85nPcMsttzAzM0NfXx+yLBNz9dVX8x//8R9s3ryZmJtuuolf/OIXfO1rX+PVV1/luuuuY8+ePdx9993E3XrrrXz5y18mJhgM8qlPfYq9e/cSMzU1xYMPPkhlZSWz+f1+ZmZmeOihhygtLeWdd95BVVWKioqImZmZ4a233sLr9fLMM88Q8+EPf5jHH3+c8fFx8vPzWbt2LReznBSVrVvHA41bycvPR1UjSJLE4UOHuHvDBpIx4fHw7UOHCYdCHD50iLs3bCDmRCDApntqiPP7fBz81suk6t777mPTxnuY8EywpqiIbx86ROGaNZjNZswbNvDN7gN8afvDZJnNHO7vZ/8LnaTiG90HmPBMEPD7mVIUnt67B1VVCU1N8ZUn/hlJlplSFCY8HtaVl3Mx6yzlPNC4lec6n0fHgnzgAx/gzTff5K/+6q9Ixdtvv831119PIlNTU9x3333EPPjgg9xyyy387Gc/45ZbbsFoNLJ8+XLmMhgMGI1G4oxGIwUFBRgMBk6dOkUkEmH//v0UFhZSWVnJa6+9xsc//nF+//vfc+2117J8+XJiDAYDr7zyCnErV67k8OHDzDUyMkJOTg7v5Z133mHnzp3Y7XbWrVvHO++8w+7du6moqOAjH/kIMV/5yle44YYb+OxnP8utt96KJEnE/eQnP+HMmTMkRSyAx+0Wwy6XiEQiQlEUoSiKiPG43WI2j9st5lIURXjcbuFxu4Xf5xMxkUhEeNxu4XG7hcftFh63W0QiERGnKIpQFEUk4vf5RCQSEVo8brc41N8vFEURc3ncbjHscolIJCLiFEURiqKIOEVRRCQSEXF+n09EIhERU2PbKDxutxh2uYTH7RazRSIRMexyCb/PJ2L8Pp+IRCIiEokIv88n4hRFEYqiiNn+5//4lNCJRbNt2zZx4cIFcfz4cfGd73xHTE9Pi2S88847QktXV5fYu3eviJuZmREHDhwQMzMzwmKxiLiZmRlhsVhE3GOPPSa8Xq+I+cEPfiD2798vnn76aXHw4EExMTEhnnvuOXHhwgXxne98R+zfv1+cPXtWjI6OirhAICD27dsn4qanp8Wdd94p5jp9+rT4+7//e3Hy5EkRNzAwIJxOp4g7ffq0ePDBB8Wrr74qZmZmxOnTp8VvfvMb8etf/1qcPXtWxEUiETE9PS1++tOfijvuuENs2rRJbNq0Sfj9fuFwOMTQ0JBIBkInFqrGtlF43G6xWBRFEd/oPiAetjcLnVgUkUhEzPXmm2+Ki3nppZeEllOnTonPfe5z4vXXXxdxP/nJT0R5ebn43ve+JywWi4j78Y9/LCwWi4irqqoSXq9XxLS2tor9+/eLuF//+tfipz/9qfjFL34h7rjjDvHzn/9c/O53vxODg4Pi+PHjIsbv94t9+/aJuOnpaXHnnXeK2c6dOye2bdsm2traxGwDAwPC6XSKuJaWFvHGG2+Ic+fOicnJSbFx40axY8cO0dvbKxRFEYqiiLffflvEXbhwQZw5c0bM1tvbK4aGhkQylqNjofIL8pFlmcUy4fHgcbt5bNdOdCwKWZaZ6y//8i/53ve+x6233oqWmpoatFxzzTW8+uqrzPapT30Kl8tFzNDQEHF/+7d/y9DQEHHf/e53idu5cyezBQIBAoEA586d46GHHuLjH/84MefPn2diYoK/+7u/w+v1YjAYiPvP//xP5hoeHmblypV84QtfYLbJyUluuukm4r70pS+xYsUKnnnmGX7zm9/wT//0T9x667tvbRoAAADzSURBVK2cP38ep9PJ0aNH+cQnPkFzczMxL7/8Mi+99BIf/OAHifnzP/9z/vCHP7B161aSYRDvQoeOP1nT09M899xzBAIBrrvuOk6ePMntt9/O+vXruZRmZmYwGo3MJoTAYDAwlxCCmZkZli1bxmzT09MsW7aM2aanpzEYDBiNRmabnp5m2bJlJDI9Pc2yZcuIefvttxFC8OEPf5i4//qv/+Kqq67immuu4WIM4l3o0KHj/yWEwGAwoGNRGdGhQ8f/z2AwoGPRGdGhQ4eONDGiQ4cOHWliRIcOHTrSxIgOHTp0pIkRHTp06EgTIzp06NCRJv8XHsAJf11b+fkAAAAASUVORK5CYII=\" 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