# Kubernetes dashboard vs infrastructure explorer

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Modern infrastructure teams are navigating growing complexity: multi-cluster Kubernetes deployments, dynamic scaling, noisy neighbors, regional compliance, and escalating customer SLAs. While the Kubernetes Dashboard is a trusted default, it was never designed to scale with you.

Infrastructure Explorer bridges the gap between visibility and action. It brings together performance data, relationships, and contextual insights across clusters, so teams spend less time jumping between tools and more time solving problems.

Below, we break down the most common Kubernetes monitoring tasks, comparing what Kubernetes Dashboard offers with how Infrastructure Explorer helps you work smarter and resolve issues faster.

## 1. Compare how cluster entities are displayed[​](#1-compare-how-cluster-entities-are-displayed "Direct link to 1. Compare how cluster entities are displayed")

Visibility into all entities and their relationships accelerates orientation and prevents misconfiguration.

**Kubernetes Dashboard**: Allows viewing one cluster at a time; limited cross-entity awareness.

[![Kubernetes Dashboard](data:image/webp;base64,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)](data:image/webp;base64,UklGRjQYAABXRUJQVlA4ICgYAADwiQCdASpABngAPm02mEkkIqKhIXRIyIANiWlu6dBYS1t0rS3fGT6AedV1AHPn+xJ+3eVZeSP752of37wh/DvjX69+TP9U+Fz1TyT2jfxr7JfgfzY/uXsF/wf7D4q/j/6n/cPUF/Fv41/if7Vvyuc/6H+s+oF6ZfKf9h/dP8h/7f8j6CH+D6Cfin9E/uP5w/477AP43/bv9L+bv9650X8R/bv2M+AH+Z/07/R/2/8fvpC/hP+5/qfOP+Vf43/uf6j4Bf5L/Xf+p/hPyp8J/oyBX2supLyY99+ZFjSXvK8RkD4CytsayA2tHQURhJZBeMh+UfQIAVtGyGoHO+6tnanxffUOb4vvqHN8X31Dm+L76hzfF99Q5vi++oc3xffUOb4vvqHN8X31Dm+L76hew/aRpe1hSpJwUU7D10fL1ySk7De01erxi+doflBqTit594FIooob9MG9IS+sIp3eLoq2dqfF99Q5vi++oc3xffUOb4vvqHN8X31Dm+L76hzfF99Q5vi++oc3xffUOb4vvqHN3bqBgG5QL8sx1zOu+KTcCHrvik3Ah674pNwIeu+KTcCHrvik3Ah674pNwIeu+KTcCHrvik3Ah674pNwIeu+KTcCHrvik3Ah674pNwIessw5H3zE6hgOOYWrwe5fMW5zZaf2oEKNOMsNQKdbx2pvExJ01YV1Q4Ik++6tnanJ4LX8gKp/PAfhFhgGtzcoShVCoGeyRvqRw5woW0BFzA0W5O5ha+CqAINKdNWg6QwCfrJRy9vN45YcA13JxeIEzSeHICqcwqfhFo6pCQvkbEBy+eMwfUJC76KC1lBAEdfowfcxLiXSCwqdip7xHbydViLMh0AQeV1MaNrIL8ZCHJ9ZoXQo/ea+bOZgNBfS1a4nvbozVoz9M1ziL823qWc4Iu9kSeXk0IiY0WX7jEOb4vvUeFaz9LKCAU+AS3vBuncB+F9cvxH9Aa2WDY3WntHZM75+jl9AicsCyOWZ4RiZ7YD4244kTm6xMLZIzfICp1yxGTnSTLcNZhSuBAZRamLCqscMwUNdf/fR4SKoFs9JwkBU6l/Vx0TKX1Klk9DIgdCpO28Ch/xEC/TY6c+/j0wzQxPfVdisu658QiRve5cQqbqh+1MfuV4FwtXL7upDnymvz3VxFKtJ6sDb89YFkcM9zPoKAIPVu5mcJs+A/w0X+xmgAg9UuBcmfC8vHpGnEYCX5AIg72neJIXs1mj5AVUAQeqJLodeIMOAMJKtJPjy/ECqdGx7+Dyri32FBdc75ZQQCp1m0/+B9AU5KpmJzLoe2ZZQzbT5djcHdyQI0GvXKW1ygvzvEbcKsoIBVQBB6wLKCAVUAQesPtCAVUARr5LKCAVUAQesCyggJot0MvkcgQ9d8Um4EPXfFJuBD13xSbgQ9d8Um4EPXfFJuBD13xSbgQ9d8Um4EPXfFJuBD13xSbgQ9d8Um4EPXfFJuBD13xSbgQ9d8Um4EPXfEUAD+7hsHKAI+hQMsA4yq1jA5tobk3+B2DO9qsyvQVXf4+LRj1VCWqQmaEcPl2faW//GL93U7cQHjWbsmrCjcm/37lUMrFMtE+vURcToZNWQ7v1ZXiU1cx8o8NEv5WfMOx7l4IHT58Lb7BZTt7wajvj3yUvJkDPtx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)

**Infrastructure Explorer**: Available through the clusters table (multi-cluster view) and in the **Relationships** tab of a specific cluster drill-down.

[![Clusters table](/docs/assets/images/2-0ec0685d383fec0ec8810edf649ca7f5.webp)](https://coralogix.com/docs/docs/assets/images/2-0ec0685d383fec0ec8810edf649ca7f5.webp)

[![Relationships tab](/docs/assets/images/3-d8a066d33dd371f0691384ace250c389.webp)](https://coralogix.com/docs/docs/assets/images/3-d8a066d33dd371f0691384ace250c389.webp)

## 2. View cluster CPU & memory usage[​](#2-view-cluster-cpu--memory-usage "Direct link to 2. View cluster CPU & memory usage")

**Kubernetes Dashboard**: Displays real-time usage per cluster but lacks context.

[![Dashboard memory](/docs/assets/images/4-f0e71969298e069208f6574c2ff1213e.webp)](https://coralogix.com/docs/docs/assets/images/4-f0e71969298e069208f6574c2ff1213e.webp)

**Infrastructure Explorer**: Scalable view of CPU and memory across clusters with drill-down.

[![CPU and memory](/docs/assets/images/5-0ec0685d383fec0ec8810edf649ca7f5.webp)](https://coralogix.com/docs/docs/assets/images/5-0ec0685d383fec0ec8810edf649ca7f5.webp)

[![Detailed usage](/docs/assets/images/6-8a06253f7f48fe244f8b8dd8986bcce6.webp)](https://coralogix.com/docs/docs/assets/images/6-8a06253f7f48fe244f8b8dd8986bcce6.webp)

## 3. View nodes by geographical region[​](#3-view-nodes-by-geographical-region "Direct link to 3. View nodes by geographical region")

**Kubernetes Dashboard**: Shows node locations if configured.

[![Geo 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LwjW0doeucHF6trsSppMI3j53byFtPomzeKm+YffnBUXzgah2vncwuW/kYBq24N0ffJ0Bk2onJlfCFy9x4sRsJhu7J8yQQRff9vAQtwxPABaMTbHRJ6due3BLf/FKm/4eG0ntHTT+Pm7BieLwdnFp03PAScQ9DvI4iuJrwnTD5qDvdSFB2SnpM2xW84CzsQcHHfoZIUNHc6bZEzG0Yn/zOcrBOgtKgk/NCoeL3Byw9YeeGDnyP/4fcDhUtrmPeCdCYnHtxeJD2C7LSm6NGz37Zwhb7G3wti4NeW+Q/U7XSK+0HzqOx+Vxn86Tnm8V98ucJwXEQ1G/5qogPYRzefzoAGYefJ/TjvDCNKsWPqKyQ9u0EegcKBn9tasVBcNtNf4jasU2LsxulSsz2dAegjYL1pMkh5tSbH23Rqqtyu1lsAAD/BkB9RbFOPHispImlwZ+mC+akY+k3f4BzdeJOra8IAuvhMQ8uDw3BeiUpEUMx/llSCL8nIOxYOWkguH+gLR/2xNeu0yRGrvSrOPJsKXh+54tWBfVWy/nLFO3gyxkYoD8MEmi2o1ocIgdEjcov3puICXoAykeBYUBMFPemrh3epUOix92fCG6wP2oVRxoqrEeYaqhp9d8Q+70dHOg7F7ROzF6ctU2+G2xXYIaWHdbzO/CGRkkByYunQBHzhQCgBRP4uqKwAl1qCME31bBLtV5m175YSgf7JlItYQW1EyjaLVG5U/iCmGSL4yaDKK5PDDHWDVh8FvD22tmB3lFbKnoiLYa+9uP7XMIX4aJYKs5EWjdy9fy/pHMQXnbiLvc0WF0/7BfW6vROpbghZwoBAe5lWEEBXjfIN2QmoFqrHEnpCdlmQDDNf3eZSieghoL/qXnj+DPEzYR83WLG91ITTV8ZQ4NY/jar/pZCWv4FNKN0v+Zt9BT3B0u8amnoxqexVrCEtZcTKa1V6JAzJj+K4luAQs4UAIk+cKwTbAVq7g/yj8H+Pz3evXAsjR7rNy49hm04btR69f3aOKHpoWMVBSJpItTZwx/qfsske2penIt0HBr/VSNe/BuIA7LNfUbLhZyLo4PNuvPyxyvclTIaGw7OcSEyucF1UGW5pxjZxpsqiZEUB/nCgDHaXeVtybee29fFIqz7GMkMz+wYWgjiL01tsY1UUYmTW88zHv1VduKw4DkT6qGssG9vjaVpvXDj3bxpSR34NWkDerDMlblBEuqy0qQELDg/qb0OaJurvINh+dHNAQ6GxTUcdOIAuc24ANb+K9ICGofVly4lxVZeyQxd5ZdYBerB+088rwVqcOv63Ik9JmmcFvIgSOqSyDlmufu5pAZnKaoCk3uwWdzKuPg306b65bDCYEW9zksTqq2rCh85FGNoQ7wjIApXlx+Blqo/TVtcZP/EQvoXJNO/Vgyr0nHPGmh8gbApr0jZkCR8Isp9B9TZJ97VTF+sFpkrlD3ZFDdb6z4+W2/zVQ4W9AAs3nceBZm2Lcuvyfymy1ZcQ5cUpGZ/Dvz/u5XXdQnJCPegd5AzuFsWYdH+UmU00luJTHPcCl7NPtJy+u5sBhV4BRagzxqkppnnACXnCgBGC2VRIuzF4S2GEQtaCHoq0UoJenUAA+moG9XtBzx7i0dUGRV4Tm0qP1ds1cIQyuQbNPNGSgGij4rYA4Z+UtouV/J8OitAgI+cKAAP3BdBOfeha9F6Fkq5g2QMxmAAATxqZNINAAAAAAFobDsAAAA)](data:image/webp;base64,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)

**Infrastructure Explorer**: Currently does not surface geographic info.

## 4. View node versions (Kubelet)[​](#4-view-node-versions-kubelet "Direct link to 4. View node versions (Kubelet)")

**Kubernetes Dashboard**: Shows node versions directly.

[![Node version](data:image/webp;base64,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)](data:image/webp;base64,UklGRugXAABXRUJQVlA4INwXAACQagCdASolASwBPm02mEgkIyKhJVNJoIANiWVu4XEV7l1nnfxm2nTy39T5OTjfwb/MOkFQz6v+9P637ru2X5gn6Qf7f+p/3Ls6eYD9gP1x9m/1SegB/Uv9l1lvoX+Wd7IP7f/t37Sf//1l7yH/aO0L+6f179rfQvv2+AfZn+380uJT8W+xn53+8ftn/Z/aT/HflN5k/kX7n/mfUC/FP5L/gfza/uXDBgA/Gv5f/pf7H+8X+e9CX+b9BfsF/l/zI+gH+Xf0f/MevX+h8CLyT2AP49/U/9r/hvyT+lL+Z/7X+N87P5h/nP+7/k/gG/lf9X/53+J/zHvj///3F/vL7R37Nj0WHUoT6uuV45yjerBelL7fevbJYRnD3QebWHxYwWZAVPHMyP6l0b/pxiPTf2nVVVVTCl/hn9vzYWKP+20MMx42TfTGi5YPYAF0NVaPEU0/hs+A5znOc5oiyFtjiYybLOXcyGJhHWAIGgmZazVMQ1F3CXkWjue97zfWQD04oEb7MOSlimC7gsK1Gb927+CVSr34L5/4VGNslPLJOnqY9Yot7QvkREREREPjTvo5ti8/UD8qqqqqqHk61lHQXXbJxvUdYz6ytEvPm3fYp8soPjJHd3d3d3bxcGSw1cMpnVlhE03LODwR0Ka2vTp7lycOf3d3di6l7dVTAYHl+xZCWkXoVngRt7s0KvQPyqqqHiRN9FSFOPPND77iXpyQiaqwc/u7u7FWhP3SCCXNbDto38FWVyjQYPMSiX30Ow+fa1jP1oJM2d55qdBqqqpwCMprQr5dRzGa2lNWTrVHyAnMHDS7uZmZmZmZ4yjCJp7wsw8WyVvmvdn4eEW/+8VPG52nVVVVVU2RO+SDfCkQbru7u7u7u7u7u7u7u7u7dwmZAkbOBCAlyl4GUU4JputMt+PIs3FVHxE3QawQEdWtXrrwvjJO0X1zn5FCQLB/P3e1T2nQam0M7/OyagFZOMlckSOTuMUPaV/YUBB6Dua8OqtdxME0Tm1l9T8RKxpgqFXQU4aVYBO4dA9TFFn7kp8AXAumYGXbmU8gOpzelnqstkZV9ipWIofurF7ved2jRkF7hM/d3dnaVJab4Fs7Zt9ji7F9CMvIQ0zdx/Kve5lCQSHGaqqqqqvbWta1rDqqaAAA/uy46zZuXyt9Sbmhq9dfHxPo3cECR5xsubIkTDlVzcV29S8bMDeSvn1E472zoO68eF6j1kwspBHk3i6KwwyzGZK7bTRjrinAotFXo0xJy6v3bt6r+acjfyf5BNFLen/ygfrrY20xD6nEj6aglCodREWKAZJ3aIjZReJl2g1Qk+rw47ncx5++O8ehlLKRfHKboME0P+ht8Hyjy6AS0Mrh6+t05rjoq9L0nDneX6M1PNHi7NUxEoK/9efTjoXvgGgUYXL+ri/IVVSkueCmb2gf4Pl5BQkdXc7kuti3kdFLr2b5Uxj27wXgBHSPm/+XTrjavNttyX2uCxKa2f+9233uHM/Adl2nSdlztHTHwzpGuz4JJoXKWSbKV7bOEXFJwc4N1iYU9v6IpWhLUupnigYho3WOvJd6Cghc66jk/+fkDc0+fHjryjq+K83IgeP6+uYBkLqKUtY7nc4NrXkPebz1dxqhGbX8hFKAroKKB2oIiWEJedV/Ln/mvg0mFDxPTthtu+Gp7QMzWDBc5bAB6n97soBgfSC9BDX8a4oir9H8ATY/NQKB9dPj5f8QL7u4txINA8UOuO5iuqenYoHawAGtoXXZ27+xJiK5noTaMgLVL3qbUw69HozbmMXhgYYEIhMibQTRXDWrsVjfuzISIs+oLP33sT9n0BFXST/6P/6iURwD69XwMWfTf6oLPO2/MSjdW00r1Bvuis9J+uf0GRHKi2p4U+1LHot+SCc2ZSA3gjA2NbNO5pFLh/UUbTQNrXN1FDSK71z+L9Pwl1e0+coJHqrisD3kISV9HvnB2KB9u8Q8Rsw+ob9BrxlyiG1v1+is3Q6z70A4PwrNWbX2QPv7wWtAXW7HY1M8uHQWPHVNtSMOaAfCb1qohuo/+Wq630He811BqCAwhOdMplgBOF6QuBL29DorzAs4JBzjsRNKvdMj3SPsHAeX9CWZkndbOz977YCyf10SwHGLV1mluhCxGDl3w7TtJSDpDiSHam4iHm8rPJKvvniXVDYjjyJ+ShG0wqLdIbKwG2ZLMbtuzBnH1qiUgawWPqnFtWxEeR+cgTEjsDeWYbft8YFkXI99egHFK8RYApbCX+Rho1/LpyXyxxw/xjNif3V+Xpv0ifHECjJ74KjtfBPp5QHaX5hMxtbaZCjr0ioF4+yuOyowLWKwr1CklJK96KT/7ze8ckZkE6g3Uk2GzguAJhryR7Pkx3NvOxJT24uRqxfWF/LaXxNh22f5rNBSt7+zZ/qhiOulN9X5A2wLVXz98hukfAxj/pcNy2/hdIwsXZDn54/PKj34PPGhZ8H6hv8ZryVVqAe1I88Nt2r/T/ApN4+FMZB2Ee78ZdT21GFGs6zC+6/jfF/ocDvApbB2hen07GyUS/H6G0CuXxhBO/DB+K/SsK8AzgdXmYTO4rtJuNpqtIMF58TLGWFHaKd8YKsZMvxzq/Yc0wmf/vjc5OfIxEth47POe4+RlAlPel+bLDcUVX59T/C41+qI9xSLWJY0SjQ3EsjMwvxOD1Qr7Ufz99F8u8XtDqWHEn50toOZkpUIMClOFr4OJf4Vs5XU8KcjKvTEXeWBHd+W+qYU23BSlzdsvFo0uDy5RgBGauhx56EfWWSGXG6i4HlRjiv+VNcz0syt/rDMLIvEoyUfPWZcNNn+zt/U1HHt8z+5XT9lsLXYAQZLXoMBNVph22MSpr584eTjZPODfQqioAMPLn9eKLYZ986kRD3yph1Z5kF3Kuf6sUjTSKy54nLz2OtZOvGPQ6D78z4jX6jpFYyDI1z5ljuBnG6YKyzz95QNSfi6z4uGm1hxFRsELho3QtQ1SLDvrv2P6TZjEDIbr0I7pg4qGuLzeyN1xXKBATJ/5ZI3zWY4w5YcpBHYHJjh7BsOS0jPRWJvpKmlxFLs7nZO6cbgwptIh3EfnohkrU+4qb1JDQE/uFWyDADNuydrPxO1oh0ycTpqYwNWMctS/YW/crUomNcMi49AJ7Kugzz2TecxMAZFQRD2IVW/MPgbl24ESf94KDifxYW1mZhnCH2F99A3UpBzTnpaUUh0FNrqTtWEy1GY+8/dNW1K5Nhnjnu+RL5irUAXVOlgH8uhyUIKTkkhrP9SrBgKzpYmEyWJLpI0f6DgCNatFKS9PqIBvnProriQ91F6O5ciDzZO6WP1Ekzv5FWm7HDmuwBBj97RgJIW6jI8Ac3K9R2l2gYuHfZzk8KMkdEWnmKGH5b+33pibPDn4V4YvRBvtwKEgM/V9VnGVC6y/uK6mE01UzEDJEUQyaHhEI7PnYolvwCCFoIciVnCWcMsGXVLADgXzPmdwlWvRCsC5f568LCAJZQmwDc/yWlXk/CptglLTBWzvHa7OAlu0gkB+IgmANjGdElwmYQViXRVj3rup3R/ddb8D4NxTp7YjADvXgadtysFmPGSXe2oXWnmdBSAsdBteQSut15Tp2xaES3tpNkh3NMbDo3hB9pqIAwDR/twC4IzXeuzSpjyuBXBSi93GGuGhT45+g00EzQHe1pn0XjJPbNZ5rhx9Kpr9TIHlh9bZdPA+Gfxtxze7a9L7HJye8Js8b1V6JiNJStgfQvwuffR3f2B/daEggSfYKixtY45zb/wq00llWqF3Gtx0YuZV9oBd2vasFMgn9nBOV4zZo5pdpeN+aKEwNnvQMRmVH4P0QiNxR9XCr5/4d/xh8ngg+cPxA2sLJFXmDcGvCBG+fIqZUiAhEjbf79N/s5zuDMsfgjdHMebxquWiaByUrHXCBvZeUFtFm8MlkNU9e3pgmvrZvW29xOPB27Yn8yph/MVi28sIK639zQPX9BTaDdH1P3N/EYD3mHo+A+axifJU1Yw1S25XrcJ/B2cB7M4B99KYniNDnd1hmI7JfOm6vqHz+g+h79MOqTi/pebshxraxx9pMCriMnNcKeaQzJdXy1rcAo1hFzMiRpPHvQhaxx4C6wmZS+fL8DIoo7llOBy9M+DrgFi/Hj7RPhJb1HOgi0qFu851D8qWm8l/39I/9sP/+PeOC81PS/YNV+nue66mcK5LmZ3mAcdeFqu3M4F2R+tqv5iPmZtiWK+ckx6D55RzDIRt3f2wPWTgWsYVfC/Ba1lmTEBJJil/m6tRM1MRktndaNJt444FjzdDcofbifFlGPFA0Qk3tjn3h9f142wx7aJplaoHUl7lR+VyY2jeHbwZyd0hEfbK+DbvgBUUjoUv79hT/XdZYRWuuzjYKt8OfxVS0OAkTqCBIWd3+G76xUbb/uZNx+vZOiO/++rO873UwKOJpHo1jFNn9c2tECg1bdX9Uv07Js7gD8WGS9CbkS9yMo28bb5lzVVmY/Qx6hrdotU2wMl7r5+xgaOMmGlMsp2FpJLspVg1km9TxyJhDh62mnjDvm1y68K3RmZSw0OudzH69Z7ST3Js2w7mCjTgdhdXMD8v6xwVBeqRNb+U+Li83M4Xqy7RWL9hOvCgs+pMHG8SFIbMBajMU2V/dXZMT7frxiuU2UJ7a28tOv6ytAI5zN6pbKpWDJpzgycIp6lRFD7/Utoo7yoOL7uDeLba5LSZw38Cym+ZCW/aLQt7Unw5f4xGxNzmIrTEt+iLWcnzJ1cKEwFZoR63v2OT3AZZFrALrfPYfMTBQvcAJGJleygAfRcVy2EmhYozkycxcFVmStDtZnaPD43Zrs67V2mJEMu2cBIgrhn8bcXSBiUmBL3mKDnLNMl9kq9R1CwO7pxPSpZltMHX5vrtwfb+NxX+uiiqajIA3Een2DN6o/QnrRbHHiCXVKEKS10w+YpQ75xtdYILGsI4XwWZlcglJQxXAK/PVGJ7SUhsWyjTGINe+TyguPx/MV8c03ks8mwlcKp9lzUZ4P7JslKPHULlS48kWzfJpkaXsfSecZ+jCdNqM1ob+5OYjsBAp5g2t5xIvwGno5xVy8D8JHj2lwd4vlQQT52hPQVwqth0uUOSo2tDpkoW5/6sKwRL7LsLoqG3dzf9Hmp6crKJtcuvD2HVgFJKy2E2nYFYGamPVXe2iDdMo3sBZFvhCpmp7YtPz76T894KK/9lkFPPTxoVo+F4zkUrtvFE3C2fDOACQLNYGh/AbtfU2zGZx7h7lvC6NmcL16jMsZmfwQ+2a6tX5Pc+rITfZzSxMIBlHibb45A6NBlJaS3QQAAABmOZcNcGn2JtQFcZMIM7Qk+oo14CraklL7wxMYSUE9uykd8QGJ8FVyi7vAM5vkZU5Y1UCOimpDcCNqRHvjzLRtbeN2gnLHRjHkFDK5aukfytXrLx6MCO8lwWYP+Wxruw+3qWIh9DBF77v0y3iBWwCFVPsRv/EbG1B0tDN7WWuAGfSeVgRAjvLyf6lTZtjR0+XE3+cVLJs5N8ne3LkLeseavtF9Q8lN2VNLQuV8+pQUSUK0e18570VJyV3mmVn7/1N5yteGnxGpRp3W65wgD6xPA6FstbtE2KUi9/P0DYDWKmjXwcvY8cu50Vz7grZqlHY7z88S/HIYMvBITQrmrIAsrPB5wtiN6djsP4B60zWMkI8ae8BxX6YNPhG/Xk/HAmFZPG2ugjxHyU/Ub0ZWB7yZ+0ETKdRqEjDzoaSGt5bbMGHaNxt43hZNmWU9VW/0vXVEkUG1IJHpFeAhYOjvIaKUs26tvPDle1Vg6ebgbb0a/2eyXIWhK7eHgSNYOyfv0Fp5EGnVGyJfqal85YkweflwGzGaVDtZYCcACEvo/32XoNEeGTL2DWx6vAqMijYZsrEgQvLFQ3Psz2mBIW48tJgNFEy3l72EnTf1jItL4PlUbvDTpm8ZRDXJ8J5h1voR/j7DvJgfWpeoePU2gqWKfERoewQ/YxlLialkYRo05A1xLiKwJbkj/Wmw2oIA7nmHtGBpusbBDykreT8SKrqwRiTOBJkhsq7hukogodTyRv5nKcbO475+ZhnCDNX8H3ul7l3ySZ9sMrAGAZPgDzvA52mUvWXWF2XIbOLItdld153V841LrzeYBi9us5L1IBGuoZcyUYypHk0G8K2EEz3e5EcUmt4zt/P0NxcHCs92HmceLjVBaE8vs+szSIBb0HiZ1xeHEdn1zv0I4b5vZGhXydB4ulHqh+9nSuEtOSJOIPR8rNztTJfrKBR21U/oENjds1oN428AxAb7YTlD4IHByiCyva4EBJi0mYtHjhLiwO3CW5m9sM8b5zAiMv/h7qdTHwlGZwI+NBroiVtKHmV2/lL8Bi6qzBNu4ErR2XkD9RDfD+QJBnsbnN/482ByBoafoSjFTjN8pvdiop32huSHvf6y07fNSt4gB11G0B1wQCMzaEUYbe968XPYzkBzfyA+iTuKS4MRr6AVM7Ek3ZU0tC5Xz6lBRJQrR7XznvRUnJXeaZWg0wRhyE1Ro9jQpflNaqNYqB5cBqfc9SclhLHjjNCyo4VqEzb7H2No4vjdDr4WGTtqcUQ7rVf1/cGqd/mwVLMRmNgcWJuCWpqlWPOZmU3yGkyXTe1s9/jGeBTjQEMh/syvslLWrqa/AxS6w+oa3r6lhdNpeGKYYcWmi1yjOg8Kbl2tGN3iUG+T3eJmGkGQ3IotQeFAmtNJKVIxfhbhuL59/BHx426AIh7tmFlQzLymArqY8UNQ+lzcW0O59fFLEYXrrf97u2Z4x8RmlKb3eCGN5sjakTPXmP4eQRwwcjio40P7smjQImKOJIgvaBAWWdA/+md09MCZNcd8Q/t8LrkqDurtb7M6PHdZOJnjdUGBLUqUYjvw8wfnqI29Ir9trli8cnPm/6cKYkOsACfI9xKXkoYTY+d1vm6cp/vO/BB/mGNJFcok47+xa61UVYOZo8mCquzu0bVIRRNzsKEEuQHzfEBuC2hmve0JCwtGqWCx8L0EIh6UrwgG9B14mQ/8Q9af6XfC+aG+aQDaDIY0jVtfoKonrv89PGk+nCz5Zcnzhc49x/F1uNOBSBUmcjiEZ6HYoF6QPFo/rgd7e6Oc+roGv/gV/YKFv9vTOfCH8FdvvTGE/br0I7wPsCFBCfwjgmrSaVH5HugWRcEw0cjcBvqK0EG8VEXqw/ajdLbry8oGYF3N+E5ngm0ICO9cxCor29LWlF60GeEJr6SRcqKrv61hdmb/SG4EkeibHy4GbBE+JOM5Qqhe+4j8L4o388YOqiP/jotJ4cpOyyfqUZD2q2Dj+WV0FgBuY6fiuYWDZE9Yh4zwcXiWIh88sPnaxh/3kOS40P47QahcVOf/0z4o7uz/pHtufuMmAG50N1jRLIETzrnpbLSKBxGUre/ViPqggg3Ql7EE6lwT9hzRDsS6z8mztIcT1N8YAfzgQOAEpCg+qVG8ME9Kt2d4GMi0e8K+HiOHyuLpU2JjVYch8B1WSfeCo63QbZtrw5A6O8hopTSIMBrZvngdZsfE+DMIcCgfzI8q1qT6DNskK6pfCXK6iPfVqelHzEl5++G9lf3Ze6Wr/VTjCzGV18IwdiOTUMWX+g7FGFmwYQ+tQ5waAzNTW1VT09q5z9yMDcBPIeZJ15TDmEjwjtzpMqU6aDjACYkK0jpY80fuRggemHWUTOnThp+7b9m+l1NF5tBj5nNZjRq8gDyJ4SAaiTDqc6mEnZVSkarD9lO5joQHNQPEbX35FiJsvMPWeYyLBZcXQlXQTPnn8jso3xV1orTldEtrahG/TdMY1iG0JY6MbqAvOtn2M4e9Wj6Z4Y39whnNwc5Nd5vMKI6tm9QJH2TQK8rRbKBkQNqPzSMALJZB0bRVs0C7PeKqCd5OM6hBPiSPcyvib0omLh/CyzfR8m/hv7KeZ5dJEn3YAPl3+hU/Uwzk3Y9U+MBRiVkJrwtTzjdxuIGxizyPeJeknZSndnH3kvihLByF0PeUXUR5BCqcBpShFQ2WLlAbZNkqjWPHMRYe8HCk7YX4QUlnDHx+nU7HvrOAz7QD5GhgrZomcDF1aY+TythOb4wePdKJiWfMcjubcKJkvouUjmbx8WIO886WQwTaBNT+WR549epqIliJ5Gy2V+nmj/Y2hf8pBbUdCaM2/gSsaJ922e9P/nYw+IAAAAAA=)

**Infrastructure Explorer**: Drill into node metadata to view versions.

[![Node metadata](/docs/assets/images/9-f614caa2788b8a1ffeacc294358c1205.webp)](https://coralogix.com/docs/docs/assets/images/9-f614caa2788b8a1ffeacc294358c1205.webp)

[![More details](/docs/assets/images/10-514c46f81d45f1b2fe5e019e9a277255.webp)](https://coralogix.com/docs/docs/assets/images/10-514c46f81d45f1b2fe5e019e9a277255.webp)

## 5. View pods within a cluster by status[​](#5-view-pods-within-a-cluster-by-status "Direct link to 5. View pods within a cluster by status")

**Kubernetes Dashboard**: Shows pod status.

[![Pod status](/docs/assets/images/11-94dcbe906b974a86480e9e8702684011.webp)](https://coralogix.com/docs/docs/assets/images/11-94dcbe906b974a86480e9e8702684011.webp)

**Infrastructure Explorer**: Tracks pod states across clusters with pending/failed highlights.

[![Pod highlights](/docs/assets/images/12-4ebaf705f7a0a11f3933e12ecf64553e.webp)](https://coralogix.com/docs/docs/assets/images/12-4ebaf705f7a0a11f3933e12ecf64553e.webp)

## 6. View resource-intensive pods (CPU/memory)[​](#6-view-resource-intensive-pods-cpumemory "Direct link to 6. View resource-intensive pods (CPU/memory)")

**Kubernetes Dashboard**: Shows metrics but lacks sorting and depth.

[![Pod metrics](/docs/assets/images/13-e5bc03d20c72c9e832f4093b29b1e511.webp)](https://coralogix.com/docs/docs/assets/images/13-e5bc03d20c72c9e832f4093b29b1e511.webp)

**Infrastructure Explorer**: Sort by CPU/memory to find top consumers.

[![Sorted pods](/docs/assets/images/14-485f4c86aa7f1b1e248d81e47d15587b.webp)](https://coralogix.com/docs/docs/assets/images/14-485f4c86aa7f1b1e248d81e47d15587b.webp)

## 7. View resource-intensive nodes (CPU/memory/disk)[​](#7-view-resource-intensive-nodes-cpumemorydisk "Direct link to 7. View resource-intensive nodes (CPU/memory/disk)")

**Kubernetes Dashboard**: Offers per-node view.

[![Node stats](/docs/assets/images/15-52d912e23f1dccf45d943748b99b6975.webp)](https://coralogix.com/docs/docs/assets/images/15-52d912e23f1dccf45d943748b99b6975.webp)

**Infrastructure Explorer**: Drill-down and sort supported (no disk aggregation yet).

[![Node comparison](/docs/assets/images/16-602a3547f23fed26d74c883f0f364d40.webp)](https://coralogix.com/docs/docs/assets/images/16-602a3547f23fed26d74c883f0f364d40.webp)

## 8. View all nodes with CPU, memory, network & disk metrics[​](#8-view-all-nodes-with-cpu-memory-network--disk-metrics "Direct link to 8. View all nodes with CPU, memory, network & disk metrics")

**Kubernetes Dashboard**: Requires manual filtering.

[![K8s node](/docs/assets/images/17-89a369e5d79cd1b1bd5bc0809ab9a190.webp)](https://coralogix.com/docs/docs/assets/images/17-89a369e5d79cd1b1bd5bc0809ab9a190.webp)

**Infrastructure Explorer**:

* Table view: filter by node or cluster

[![Table view](/docs/assets/images/18-a638330637c8e20617b2f033af60ca30.webp)](https://coralogix.com/docs/docs/assets/images/18-a638330637c8e20617b2f033af60ca30.webp)

* In cluster drill-down: navigate to **Relationships**, then **Nodes**

[![Drill down](/docs/assets/images/19-602a3547f23fed26d74c883f0f364d40.webp)](https://coralogix.com/docs/docs/assets/images/19-602a3547f23fed26d74c883f0f364d40.webp)

## 9. View Kubernetes events (filter by node/namespace/pod)[​](#9-view-kubernetes-events-filter-by-nodenamespacepod "Direct link to 9. View Kubernetes events (filter by node/namespace/pod)")

**Kubernetes Dashboard**: Basic filtering.

[![Events](/docs/assets/images/20-89cf7404bbe3f6928a4a3ebdeacdfe4c.webp)](https://coralogix.com/docs/docs/assets/images/20-89cf7404bbe3f6928a4a3ebdeacdfe4c.webp)

**Infrastructure Explorer**: Advanced filtering and embedded events in drill-downs.

[![Events filtered](/docs/assets/images/21-783e7dd9b66e0fac7007e256e73b3ae7.webp)](https://coralogix.com/docs/docs/assets/images/21-783e7dd9b66e0fac7007e256e73b3ae7.webp)

## 10. View node metrics over time[​](#10-view-node-metrics-over-time "Direct link to 10. View node metrics over time")

**Kubernetes Dashboard**: Limited historical graphs.

[![Historical](/docs/assets/images/22-3bc167538a5446a267cd8d0a7e64686c.webp)](https://coralogix.com/docs/docs/assets/images/22-3bc167538a5446a267cd8d0a7e64686c.webp)

**Infrastructure Explorer**:

* Aggregate CPU & memory in cluster drill-down

[![Aggregate](/docs/assets/images/23-8a06253f7f48fe244f8b8dd8986bcce6.webp)](https://coralogix.com/docs/docs/assets/images/23-8a06253f7f48fe244f8b8dd8986bcce6.webp)

* Live view in **Relationships**, then **Nodes**

[![Live nodes](/docs/assets/images/24-602a3547f23fed26d74c883f0f364d40.webp)](https://coralogix.com/docs/docs/assets/images/24-602a3547f23fed26d74c883f0f364d40.webp)

* Full history in node drill-down

[![History](/docs/assets/images/25-9b41ef631a5795440dce7dfa0f999079.webp)](https://coralogix.com/docs/docs/assets/images/25-9b41ef631a5795440dce7dfa0f999079.webp)

## 11. View pod metrics: containers, CPU, memory, network[​](#11-view-pod-metrics-containers-cpu-memory-network "Direct link to 11. View pod metrics: containers, CPU, memory, network")

**Kubernetes Dashboard**: Per-pod view with filters.

[![Per pod](/docs/assets/images/26-dcdcf7f54ca8a2bd93ad097a57cebb9d.webp)](https://coralogix.com/docs/docs/assets/images/26-dcdcf7f54ca8a2bd93ad097a57cebb9d.webp)

**Infrastructure Explorer**:

* Pods table view with filters

[![Pods table](/docs/assets/images/27-832e8a0cf4c6c57300d38319df91bcc1.webp)](https://coralogix.com/docs/docs/assets/images/27-832e8a0cf4c6c57300d38319df91bcc1.webp)

* Relationships tab in cluster drill-down

[![Cluster pods](/docs/assets/images/28-ea2c26c03887bd553e18d276dbafeec5.webp)](https://coralogix.com/docs/docs/assets/images/28-ea2c26c03887bd553e18d276dbafeec5.webp)

## 12. View pod metrics over time[​](#12-view-pod-metrics-over-time "Direct link to 12. View pod metrics over time")

**Kubernetes Dashboard**: Basic time-based filtering.

[![Time view](/docs/assets/images/29-89cf7404bbe3f6928a4a3ebdeacdfe4c.webp)](https://coralogix.com/docs/docs/assets/images/29-89cf7404bbe3f6928a4a3ebdeacdfe4c.webp)

**Infrastructure Explorer**:

[![Infra time](/docs/assets/images/30-783e7dd9b66e0fac7007e256e73b3ae7.webp)](https://coralogix.com/docs/docs/assets/images/30-783e7dd9b66e0fac7007e256e73b3ae7.webp)

## 13. View CPU & memory per pod on a node (noisy neighbor)[​](#13-view-cpu--memory-per-pod-on-a-node-noisy-neighbor "Direct link to 13. View CPU & memory per pod on a node (noisy neighbor)")

**Kubernetes Dashboard**: Historical data with pod filtering.

[![Noisy view](/docs/assets/images/31-4a8a255e417b873bac3f3cd980f7489d.webp)](https://coralogix.com/docs/docs/assets/images/31-4a8a255e417b873bac3f3cd980f7489d.webp)

**Infrastructure Explorer**:

* Cluster drill-down aggregate view

[![Aggregate](/docs/assets/images/32-8a06253f7f48fe244f8b8dd8986bcce6.webp)](https://coralogix.com/docs/docs/assets/images/32-8a06253f7f48fe244f8b8dd8986bcce6.webp)

* Live per-pod metrics in **Relationships**, then **Pods**

[![Live pod view](/docs/assets/images/33-ea2c26c03887bd553e18d276dbafeec5.webp)](https://coralogix.com/docs/docs/assets/images/33-ea2c26c03887bd553e18d276dbafeec5.webp)

* Node drill-down with noisy neighbor insights

[![Noisy widget](/docs/assets/images/34-1abe2f92cabeafdf9d856686642e2494.webp)](https://coralogix.com/docs/docs/assets/images/34-1abe2f92cabeafdf9d856686642e2494.webp)

* Pod drill-down with time-series

[![Pod time series](/docs/assets/images/35-af04b9e980d94a78a72ce940e284d4ca.webp)](https://coralogix.com/docs/docs/assets/images/35-af04b9e980d94a78a72ce940e284d4ca.webp)

## Visibility that works at scale[​](#visibility-that-works-at-scale "Direct link to Visibility that works at scale")

Where Kubernetes Dashboard offers helpful real-time snapshots, Infrastructure Explorer delivers context-aware, cross-cluster intelligence. It’s not just about seeing the problem, it's about seeing it in relation to everything else that matters.

### Key benefits of Infrastructure Explorer[​](#key-benefits-of-infrastructure-explorer "Direct link to Key benefits of Infrastructure Explorer")

* Faster resolution of infrastructure incidents
* Reduced reliance on command-line troubleshooting
* Improved visibility across multi-cluster and multi-tenant environments
* Less manual correlation between logs, metrics, and entities
* A shared source of truth across Ops, SRE, and Dev teams

If you're scaling, collaborating, or just tired of cobbling together metrics from scattered tools, Infrastructure Explorer is built for your future state.

## Next steps[​](#next-steps "Direct link to Next steps")

Deploy a local Kubernetes environment with Minikube and connect it to Infrastructure Explorer by following [Set up with minikube](https://coralogix.com/docs/docs/user-guides/infrastructure/infrastructure-explorer/setup-with-minikub/.md).

## Related resources[​](#related-resources "Direct link to Related resources")

* [Infrastructure Explorer overview](https://coralogix.com/docs/docs/user-guides/infrastructure/infrastructure-explorer/overview/.md)
* [Getting started with Kubernetes monitoring](https://coralogix.com/docs/docs/user-guides/infrastructure/infrastructure-explorer/getting-started-kubernetes-monitoring/.md)
* [Explore your infrastructure](https://coralogix.com/docs/docs/user-guides/infrastructure/infrastructure-explorer/explore-infra/.md)