[{"data":1,"prerenderedAt":2831},["ShallowReactive",2],{"blog-\u002Fblog\u002F2025\u002F06\u002Fshop-floor-kpis-for-mes":3,"featureCatalog":1902,"changelog-titles":2296,"blog-all-for-related":2830},{"id":4,"title":5,"authors":6,"body":8,"cta":1879,"date":1880,"description":1881,"extension":1882,"features":1879,"image":1883,"lastUpdated":1879,"meta":1884,"navigation":1892,"path":1893,"release":1879,"seo":1894,"sitemap":1895,"stem":1896,"subtitle":1897,"tags":1898,"tldr":1879,"video":1879,"__hash__":1901},"blog\u002Fblog\u002F2025\u002F06\u002Fshop-floor-kpis-for-mes.md","What to Measure on the Shop Floor: Factory KPIs Your MES Should Deliver",[7],"sumit-shinde",{"type":9,"value":10,"toc":1864},"minimark",[11,21,24,27,32,35,38,79,84,90,101,105,113,116,142,145,149,160,173,176,187,195,198,208,211,216,223,228,252,1628,1632,1648,1656,1665,1693,1771,1779,1796,1804,1812,1815,1818,1821,1826,1843,1847,1850,1853,1860],[12,13,14,15,20],"p",{},"When discussing an ",[16,17,19],"a",{"href":18},"\u002Fblog\u002F2025\u002F06\u002Fwhat-is-mes\u002F","MES",", data is always at the core. In previous articles, we explored the crucial steps of collecting and structuring valuable operational data. However, merely having cleaned and structured data is not enough. Many manufacturers find themselves staring at thousands of records while trying to monitor equipment performance or track production, only to feel overwhelmed and unsure of what actions to take. This is not just time-consuming; it often leads to delayed decisions and missed opportunities.",[12,22,23],{},"It is not the volume of data that drives improvement, it is clarity. What manufacturers need is a way to cut through the noise and highlight what truly matters. Factory KPIs (Key Performance Indicators) do exactly that. By focusing attention on the metrics that reflect performance and progress, they turn complexity into clarity and enable faster, more confident decisions.",[12,25,26],{},"In this article, we will dive into the most critical factory KPIs that directly impact your bottom line and are a fundamental part of any effective MES implementation. These KPIs empower you to drive profit and eliminate waste.",[28,29,31],"h2",{"id":30},"strategic-kpi-categories-for-mes-success","Strategic KPI Categories for MES Success",[12,33,34],{},"There are hundreds of factory KPIs available, but not all are relevant for every MES implementation. To effectively leverage MES and improve factory operations, it is important to organize KPIs into logical categories that support its core objectives. These categories provide a holistic view of factory performance and align operational data with key manufacturing goals.",[12,36,37],{},"While many KPIs can be tracked, the most impactful ones in the context of MES typically fall into the following strategic categories:",[39,40,41,49,55,61,67,73],"ul",{},[42,43,44,48],"li",{},[45,46,47],"strong",{},"Productivity",": Measuring the efficiency and output of production lines.",[42,50,51,54],{},[45,52,53],{},"Processes",": Assessing how reliably the production chain functions.",[42,56,57,60],{},[45,58,59],{},"Deadlines",": Tracking time-related performance metrics.",[42,62,63,66],{},[45,64,65],{},"Inventory Management",": Ensuring materials and products flow smoothly.",[42,68,69,72],{},[45,70,71],{},"Resources",": Evaluating equipment reliability and effectiveness.",[42,74,75,78],{},[45,76,77],{},"Quality",": Measuring consistency, conformance, and product standards.",[80,81,83],"h3",{"id":82},"key-factory-kpis","Key Factory KPIs",[12,85,86,87,89],{},"Here are some of the most crucial KPIs your ",[45,88,19],{}," should help you track:",[12,91,92,98],{},[93,94],"img",{"alt":95,"dataZoomable":96,"src":97},"KPIs Tables","","\u002Fblog\u002F2025\u002F06\u002Fimages\u002FKPIs.png",[99,100,95],"em",{},[28,102,104],{"id":103},"turning-your-data-into-kpis","Turning Your Data into KPIs",[12,106,107,108,112],{},"Now that you understand the critical factory KPIs, the next logical question is: How does your MES deliver these insights? It’s not about manual calculations or picking up a calculator. The MES should have an integrated pipeline that handles everything, from raw data collection to the clear, actionable KPIs displayed on your ",[16,109,111],{"href":110},"\u002Fblog\u002F2026\u002F08\u002Fmanufacturing-dashboard-examples\u002F","manufacturing dashboards",".",[12,114,115],{},"Once the data is collected and stored from the factory floor, this pipeline involves four essential stages:",[39,117,118,124,130,136],{},[42,119,120,123],{},[45,121,122],{},"Retrieve Data",": Pull the necessary stored data from the central database to perform KPI calculations.",[42,125,126,129],{},[45,127,128],{},"Build Logic",": Define the rules, conditions, and formulas based on operational goals and KPI definitions.",[42,131,132,135],{},[45,133,134],{},"Calculate KPIs",": Execute real-time or scheduled computations to derive metric values from the retrieved data.",[42,137,138,141],{},[45,139,140],{},"Visualize",": Display the results using dashboards to provide clear insights for operators, supervisors, and decision-makers.",[12,143,144],{},"Once the workflow is set up, it should run automatically in the background, pulling in fresh data, applying the logic, and updating dashboards in real time. This ensures that performance metrics are always current and actionable.",[80,146,148],{"id":147},"building-kpi-workflow-with-flowfuse","Building KPI Workflow with FlowFuse",[12,150,151,152,155,156,159],{},"To turn stored factory data into live KPIs, you need a solution with a powerful logic engine capable of processing at scale. Ideally, this solution should also support the rapid development of industrial applications. This is where ",[45,153,154],{},"FlowFuse",", built on ",[45,157,158],{},"Node-RED",", offers a clear advantage.",[12,161,162,163,167,168,172],{},"FlowFuse provides a low-code environment that unifies data connectivity, processing logic, and visualization. As covered in our previous articles, ",[16,164,166],{"href":165},"\u002Fblog\u002F2025\u002F06\u002Fdata-acquisition-for-mes\u002F","MES Data Acquisition: How to Unlock Your Factory’s Hidden Data"," and ",[16,169,171],{"href":170},"\u002Fblog\u002F2025\u002F06\u002Fstructuring-storing-data-mes-integration\u002F","Structuring and Storing Data for Effective MES Integration",", FlowFuse connects seamlessly to nearly all shop floor assets, prepares the data, and stores it in an accessible format.",[12,174,175],{},"From there, KPI logic flows can be built visually, defining how and when data is retrieved, how calculations are applied, and how results are displayed. This enables continuous KPI updates without manual effort.",[12,177,178,182,185],{},[93,179],{"alt":180,"dataZoomable":96,"src":181},"OEE Dashboard built with FlowFuse","\u002Fblog\u002F2025\u002F06\u002Fimages\u002Foee.png",[183,184],"br",{},[99,186,180],{},[12,188,189,190,194],{},"The example above shows an ",[16,191,193],{"href":192},"\u002Fblueprints\u002Fmanufacturing\u002Foee-dashboard\u002F","OEE Dashboard",", updated every 10 seconds using FlowFuse. Operational data is automatically retrieved, processed, and visualized, delivering accurate, real-time metrics through gauges, charts, and tables.",[12,196,197],{},"The following flow powers this dashboard:",[12,199,200,204,206],{},[93,201],{"alt":202,"dataZoomable":96,"src":203},"OEE Dashboard Flow","\u002Fblog\u002F2025\u002F06\u002Fimages\u002Foee-dashboard-flow.png",[183,205],{},[99,207,202],{},[12,209,210],{},"Each node in this flow performs a specific task: retrieving data, transforming it, applying OEE formulas, and delivering results to the dashboard. The entire process is automated and repeatable, providing a real-time view of equipment performance and production health.",[212,213,215],"h4",{"id":214},"build-your-first-kpi-flow","Build Your First KPI Flow",[12,217,218,219,222],{},"Let’s see how easy it is to calculate a KPI with a practical example where we will calculate ",[45,220,221],{},"Machine Downtime",", using demo data stored in an SQLite database.",[224,225,227],"h5",{"id":226},"to-begin","To Begin",[229,230,231,241,249],"ol",{},[42,232,233,234,240],{},"Login to the FlowFuse platform. If you don't have an account, you can register for a ",[16,235,239],{"href":236,"rel":237},"https:\u002F\u002Fapp.flowfuse.com\u002Faccount\u002Fcreate",[238],"nofollow","free trial"," to get started. Once registered, create a FlowFuse instance and open its editor.",[42,242,243,244,248],{},"Install the ",[245,246,247],"code",{},"node-red-node-sqlite"," from the Palette Manager.",[42,250,251],{},"For the demo database, import the following database flow. 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INTO machine_runtime_logs (machine_id, date, total_operational_time, run_time) VALUES",[265,1271,841],{"class":840},[265,1273,1274],{"class":289},"('BX02', '2025-06-10', 480, 410),",[265,1276,841],{"class":840},[265,1278,1279],{"class":289},"('AX01', '2025-06-10', 480, 465),",[265,1281,841],{"class":840},[265,1283,1284],{"class":289},"('BX02', '2025-06-11', 480, 400),",[265,1286,841],{"class":840},[265,1288,1289],{"class":289},"('AX01', '2025-06-12', 480, 455),",[265,1291,841],{"class":840},[265,1293,1294],{"class":289},"('BX02', '2025-06-12', 480, 390),",[265,1296,841],{"class":840},[265,1298,1299],{"class":289},"('AX01', '2025-06-11', 480, 470),",[265,1301,841],{"class":840},[265,1303,1304],{"class":289},"('AX01', '2025-06-13', 480, 460),",[265,1306,841],{"class":840},[265,1308,1309],{"class":289},"('BX02', '2025-06-13', 480, 420),",[265,1311,841],{"class":840},[265,1313,1314],{"class":289},"('AX01', '2025-06-14', 480, 405),",[265,1316,841],{"class":840},[265,1318,1319],{"class":289},"('AX01', '2025-06-14', 480, 450);",[265,1321,841],{"class":840},[265,1323,275],{"class":271},[265,1325,295],{"class":271},[265,1327,275],{"class":271},[265,1329,336],{"class":278},[265,1331,275],{"class":271},[265,1333,284],{"class":271},[265,1335,275],{"class":271},[265,1337,1338],{"class":289},"Insert Demo Data",[265,1340,275],{"class":271},[265,1342,295],{"class":271},[265,1344,275],{"class":271},[265,1346,508],{"class":278},[265,1348,275],{"class":271},[265,1350,284],{"class":271},[265,1352,1353],{"class":458},"850",[265,1355,295],{"class":271},[265,1357,275],{"class":271},[265,1359,522],{"class":278},[265,1361,275],{"class":271},[265,1363,284],{"class":271},[265,1365,1157],{"class":458},[265,1367,295],{"class":271},[265,1369,275],{"class":271},[265,1371,536],{"class":278},[265,1373,275],{"class":271},[265,1375,541],{"class":271},[265,1377,275],{"class":271},[265,1379,1380],{"class":289},"45f1950b01ebb3f3",[265,1382,275],{"class":271},[265,1384,551],{"class":271},[265,1386,275],{"class":271},[265,1388,279],{"class":278},[265,1390,275],{"class":271},[265,1392,284],{"class":271},[265,1394,275],{"class":271},[265,1396,1380],{"class":289},[265,1398,275],{"class":271},[265,1400,295],{"class":271},[265,1402,275],{"class":271},[265,1404,300],{"class":278},[265,1406,275],{"class":271},[265,1408,284],{"class":271},[265,1410,275],{"class":271},[265,1412,581],{"class":289},[265,1414,275],{"class":271},[265,1416,295],{"class":271},[265,1418,275],{"class":271},[265,1420,318],{"class":278},[265,1422,275],{"class":271},[265,1424,284],{"class":271},[265,1426,275],{"class":271},[265,1428,327],{"class":289},[265,1430,275],{"class":271},[265,1432,295],{"class":271},[265,1434,275],{"class":271},[265,1436,336],{"class":278},[265,1438,275],{"class":271},[265,1440,284],{"class":271},[265,1442,275],{"class":271},[265,1444,1445],{"class":289},"debug 7",[265,1447,275],{"class":271},[265,1449,295],{"class":271},[265,1451,275],{"class":271},[265,1453,623],{"class":278},[265,1455,275],{"class":271},[265,1457,637],{"class":271},[265,1459,275],{"class":271},[265,1461,632],{"class":278},[265,1463,275],{"class":271},[265,1465,637],{"class":271},[265,1467,275],{"class":271},[265,1469,642],{"class":278},[265,1471,275],{"class":271},[265,1473,446],{"class":271},[265,1475,275],{"class":271},[265,1477,651],{"class":278},[265,1479,275],{"class":271},[265,1481,446],{"class":271},[265,1483,275],{"class":271},[265,1485,660],{"class":278},[265,1487,275],{"class":271},[265,1489,284],{"class":271},[265,1491,275],{"class":271},[265,1493,669],{"class":289},[265,1495,275],{"class":271},[265,1497,295],{"class":271},[265,1499,275],{"class":271},[265,1501,678],{"class":278},[265,1503,275],{"class":271},[265,1505,284],{"class":271},[265,1507,343],{"class":271},[265,1509,295],{"class":271},[265,1511,275],{"class":271},[265,1513,691],{"class":278},[265,1515,275],{"class":271},[265,1517,284],{"class":271},[265,1519,275],{"class":271},[265,1521,700],{"class":289},[265,1523,275],{"class":271},[265,1525,295],{"class":271},[265,1527,275],{"class":271},[265,1529,508],{"class":278},[265,1531,275],{"class":271},[265,1533,284],{"class":271},[265,1535,715],{"class":458},[265,1537,295],{"class":271},[265,1539,275],{"class":271},[265,1541,522],{"class":278},[265,1543,275],{"class":271},[265,1545,284],{"class":271},[265,1547,1157],{"class":458},[265,1549,295],{"class":271},[265,1551,275],{"class":271},[265,1553,536],{"class":278},[265,1555,275],{"class":271},[265,1557,738],{"class":271},[265,1559,275],{"class":271},[265,1561,279],{"class":278},[265,1563,275],{"class":271},[265,1565,284],{"class":271},[265,1567,275],{"class":271},[265,1569,801],{"class":289},[265,1571,275],{"class":271},[265,1573,295],{"class":271},[265,1575,275],{"class":271},[265,1577,300],{"class":278},[265,1579,275],{"class":271},[265,1581,284],{"class":271},[265,1583,275],{"class":271},[265,1585,1586],{"class":289},"sqlitedb",[265,1588,275],{"class":271},[265,1590,295],{"class":271},[265,1592,275],{"class":271},[265,1594,1595],{"class":278},"db",[265,1597,275],{"class":271},[265,1599,284],{"class":271},[265,1601,275],{"class":271},[265,1603,1604],{"class":289},"\u002Ftmp\u002Fsqlite",[265,1606,275],{"class":271},[265,1608,295],{"class":271},[265,1610,275],{"class":271},[265,1612,1613],{"class":278},"mode",[265,1615,275],{"class":271},[265,1617,284],{"class":271},[265,1619,275],{"class":271},[265,1621,1622],{"class":289},"RWC",[265,1624,275],{"class":271},[265,1626,1627],{"class":271},"}]\n",[224,1629,1631],{"id":1630},"flow-setup","Flow Setup",[229,1633,1634,1641],{},[42,1635,1636,1637,1640],{},"Drag an ",[45,1638,1639],{},"Inject"," node onto the canvas and configure it to trigger at your desired interval (e.g., every 10 seconds) to start the data retrieval process.",[42,1642,1643,1644,1647],{},"Drag a ",[45,1645,1646],{},"Change"," node and connect it to the Inject node, adding elements to include query parameters for sql query as shown in the following image.",[12,1649,1650,1654],{},[93,1651],{"alt":1652,"dataZoomable":96,"src":1653},"Change node setting parameters","\u002Fblog\u002F2025\u002F06\u002Fimages\u002Fparams-change-node.png",[99,1655,1652],{},[229,1657,1659],{"start":1658},3,[42,1660,1636,1661,1664],{},[45,1662,1663],{},"SQLite"," node, connect it to the Change node, and configure it with following sql statement and select set query to \"Prepared Statement\"",[257,1666,1669],{"className":1667,"code":1668,"language":828,"meta":96,"style":96},"language-sql shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","SELECT *\nFROM machine_runtime_logs\nWHERE machine_id = $machine_id\n  AND date BETWEEN $start_date AND $end_date;\n",[245,1670,1671,1676,1682,1687],{"__ignoreMap":96},[265,1672,1673],{"class":267,"line":268},[265,1674,1675],{},"SELECT *\n",[265,1677,1679],{"class":267,"line":1678},2,[265,1680,1681],{},"FROM machine_runtime_logs\n",[265,1683,1684],{"class":267,"line":1658},[265,1685,1686],{},"WHERE machine_id = $machine_id\n",[265,1688,1690],{"class":267,"line":1689},4,[265,1691,1692],{},"  AND date BETWEEN $start_date AND $end_date;\n",[229,1694,1695,1701,1708,1726,1739,1751,1762],{"start":1689},[42,1696,1643,1697,1700],{},[45,1698,1699],{},"Split"," node and connect it to the SQLite node to break down the returned array or multiple rows from the database.",[42,1702,1703,1704,1707],{},"Drag ",[45,1705,1706],{},"two Join"," nodes and connect them to the output of the Split node.",[42,1709,1710,1711,1714,1715,1718,1719,1722,1723,112],{},"Configure the ",[45,1712,1713],{},"first Join"," node in ",[99,1716,1717],{},"Reduce"," mode to sum ",[245,1720,1721],{},"total_operational_time"," using the expression ",[245,1724,1725],{},"$A + payload.total_operational_time",[42,1727,1710,1728,1714,1731,1718,1733,1722,1736,112],{},[45,1729,1730],{},"second Join",[99,1732,1717],{},[245,1734,1735],{},"run_time",[245,1737,1738],{},"$A + payload.run_time",[42,1740,1643,1741,1743,1744,1747,1748,112],{},[45,1742,1646],{}," node and connect it to the first Join node to store ",[245,1745,1746],{},"msg.payload"," as ",[245,1749,1750],{},"flow.total_operational_time",[42,1752,1753,1754,1756,1757,1747,1759,112],{},"Drag another ",[45,1755,1646],{}," node and connect it to the second Join node to store ",[245,1758,1746],{},[245,1760,1761],{},"flow.run_time",[42,1763,1643,1764,1767,1768,1770],{},[45,1765,1766],{},"new Change"," node and connect both previous Change nodes to it, then set ",[245,1769,1746],{}," using the following JSONata expression to calculate Machine Downtime Percentage:",[257,1772,1777],{"className":1773,"code":1775,"language":1776},[1774],"language-text","(($flowContext(\"total_operational_time\") - $flowContext(\"run_time\")) \u002F $flowContext(\"total_operational_time\")) * 100\n","text",[245,1778,1775],{"__ignoreMap":96},[229,1780,1782,1790],{"start":1781},11,[42,1783,1643,1784,1787,1788,112],{},[45,1785,1786],{},"Debug"," node onto the canvas, connect it to the last Change node, and configure it to display ",[245,1789,1746],{},[42,1791,1792,1795],{},[45,1793,1794],{},"Deploy"," the flow to continuously calculate and output the Machine Downtime Percentage in real time.",[12,1797,1798,1799,112],{},"After deploying the flow, observe the debug sidebar on the right. You'll see the calculated machine downtime percentage being continuously printed. To present this data visually, leverage ",[16,1800,1803],{"href":1801,"rel":1802},"https:\u002F\u002Fdashboard.flowfuse.com",[238],"Flowfuse Dashboard",[12,1805,1806,1810],{},[93,1807],{"alt":1808,"dataZoomable":96,"src":1809},"Downtime printed on debug panel","\u002Fblog\u002F2025\u002F06\u002Fimages\u002Fdowntime.png",[99,1811,1808],{},[12,1813,1814],{},"You’ve just seen how easy it is to calculate a foundational KPI like machine downtime. But with FlowFuse’s low-code environment, this is just the beginning. You not only connect, collect, transform, and visualize data, but also scale effortlessly.",[12,1816,1817],{},"FlowFuse enables you to manage thousands of device instances remotely, with built-in security, access control, and version management. This level of control ensures consistency across your factory operations and allows you to deploy updates and changes quickly with confidence.",[12,1819,1820],{},"There is much more to explore, FlowFuse gives you the flexibility and power to build a fully integrated, intelligent MES solution that grows with your manufacturing needs.",[12,1822,1823],{},[45,1824,1825],{},"What does this mean for your factory?",[39,1827,1828,1831,1834,1837,1840],{},[42,1829,1830],{},"You'll put more money in your pocket, by slashing hidden waste and squeezing every drop of efficiency out of your machines and time.",[42,1832,1833],{},"You'll be in total control, ditching the daily firefighting for a clear view that lets you fix problems before they even start.",[42,1835,1836],{},"You'll produce quality you're genuinely proud of, every single time, catching issues on the spot for fewer headaches and happier customers.",[42,1838,1839],{},"You'll unleash the genius of your own team, giving them the insights they need to innovate and drive continuous improvement on the floor.",[42,1841,1842],{},"You'll leap into tomorrow's factory, today, rapidly building powerful solutions that make your entire operation smarter, faster, and truly future-ready.",[28,1844,1846],{"id":1845},"final-thought","Final Thought",[12,1848,1849],{},"We've talked a lot about Factory KPIs and how they're not just some numbers on a screen; they're your secret weapon. And we've seen how a powerful MES, especially one built on something as flexible as FlowFuse, is the real workhorse, taking all that raw data and turning it into clear, actionable gold.",[12,1851,1852],{},"Forget about guessing games. With the right MES and smart KPIs, you get the full picture, right now. 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language.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F#support-mode",[1927],{"url":1928,"release":1919},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-debug-log-context\u002F",false,{"edge":1892,"hub":1892,"fleet":1892},{"id":1932,"title":1933,"description":1934,"docsLink":1935,"changelog":1936,"subfeature":1892,"showOnPricing":1929,"tiers":1940},"flowfuse-expert-application-building","Application Building","Describe what you want to build and FlowFuse Expert assembles it on your workspace, adding tabs, wiring nodes, and configuring properties.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F",[1937],{"url":1938,"release":1939},"\u002Fchangelog\u002F2026\u002F05\u002Fexpert-application-building\u002F","2.30",{"edge":1892,"hub":1892,"fleet":1892},{"id":1942,"title":1943,"description":1944,"docsLink":1945,"subfeature":1892,"beta":1892,"showOnPricing":1929,"tiers":1946},"flowfuse-expert-insights-mode","Insights Mode","Connects FlowFuse Expert to MCP servers in your Node-RED instances, enabling real-time data queries and actions through a single chat interface.","\u002Fdocs\u002Fuser\u002Fexpert\u002Fchat\u002F#insights-mode",{"edge":1892,"hub":1892,"fleet":1892},{"id":1948,"title":1949,"description":1950,"docsLink":1951,"tiers":1952},"mcp-servers","Agentic Operations","Expose your Node-RED flows as tools an AI agent can call directly, so agents can query the state of the factory or trigger actions without custom integration work.","\u002Fnode-red\u002Fflowfuse\u002Fmcp\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":1954,"title":1955,"description":1956,"tiers":1957},"onnx-integration","ONNX Integration","Run trained machine learning models directly in your flows, including on edge hardware, without sending data out to an external inference 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upgrades.","\u002Fdocs\u002Fuser\u002Fpersistent-context\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":1997,"title":1998,"showOnPricing":1929,"tiers":1999},"static-assets","Static Assets",{"edge":1892,"hub":1892,"fleet":1892},{"id":2001,"title":2002,"description":2003,"docsLink":2004,"tiers":2005},"team-library","Team Library","Set up standard nodes and flows that can be shared with all team members across your organisation.","\u002Fdocs\u002Fuser\u002Fshared-library\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2007,"title":2008,"description":2009,"docsLink":2010,"tiers":2011},"personalised-multi-user-dashboards","Personalised Multi-User Dashboards","Build applications that provide unique data to each logged-in user using personalised multi-user 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Your preferences are remembered between sessions.",[2048],{"url":2049,"release":1939},"\u002Fchangelog\u002F2026\u002F04\u002Fimmersive-editor-drawer\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2052,"title":2053,"description":2054,"changelog":2055,"showOnPricing":1929,"tiers":2058},"embedded-editor-tab-title","Embedded Editor Browser Tab Title","The browser tab title updates to reflect the active Node-RED canvas tab when working in the embedded editor.",[2056],{"url":2057,"release":2041},"\u002Fchangelog\u002F2026\u002F03\u002Fembedded-editor-tab-title\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2060,"title":1794,"features":2061},"deploy",[2062,2068,2077,2083,2089,2095,2101,2107,2112],{"id":2063,"title":2064,"description":2065,"docsLink":2066,"tiers":2067},"hosted-instances","Cloud Instances","Run Node-RED instances managed and hosted by FlowFuse.","\u002Fdocs\u002Fuser\u002Fintroduction\u002F#creating-a-node-red-instance",{"edge":1892,"hub":1892,"fleet":1892},{"id":2069,"title":2070,"description":2071,"docsLink":2072,"changelog":2073,"tiers":2076},"edge-devices","Edge Instances","Deploy and mange your Node-RED instances on edge PLCs and gateways, with full visibility and control from the cloud.","\u002Fdocs\u002Fdevice-agent\u002Fintroduction\u002F",[2074],{"url":2075,"release":1919},"\u002Fchangelog\u002F2026\u002F02\u002Fdevice-agent-nodejs-options\u002F",{"edge":1892,"hub":1929,"fleet":1892},{"id":2078,"title":2079,"description":2080,"docsLink":2081,"tiers":2082},"custom-hostnames","Custom Hostnames","Access your Node-RED application via your own domain name.","\u002Fdocs\u002Fuser\u002Fcustom-hostnames\u002F",{"edge":1929,"hub":1892,"fleet":1929},{"id":2084,"title":2085,"description":2086,"docsLink":2087,"tiers":2088},"mqtt-broker","MQTT Broker","Manage and create MQTT clients to transport data for efficient messaging and communication within your applications.","\u002Fdocs\u002Fuser\u002Fteambroker\u002F",{"edge":1892,"hub":1929,"fleet":1892},{"id":2090,"title":2091,"description":2092,"docsLink":2093,"showOnPricing":1929,"tiers":2094},"project-nodes","Project Nodes aka seamless project comms","FlowFuse Project Nodes enable the passing of data and messages between your Node-RED projects.","\u002Fdocs\u002Fuser\u002Fprojectnodes\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2096,"title":2097,"description":2098,"docsLink":2099,"tiers":2100},"devops-pipelines","DevOps Pipelines","Set up different environments for development, testing, and production Node-RED instances to support a full software delivery lifecycle.","\u002Fdocs\u002Fuser\u002Fdevops-pipelines\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2102,"title":2103,"description":2104,"docsLink":2105,"tiers":2106},"git-integration","Git Integration","Back up your flows to a remote Git repository through a DevOps Pipeline. 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Step through every changed, added, or deleted node and see property and code diffs.",[2146],{"url":2147,"release":2041},"\u002Fchangelog\u002F2026\u002F04\u002Fsnapshot-diff-viewer\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2150,"title":2151,"subfeature":1892,"showOnPricing":1929,"tiers":2152},"version-history-timeline","Version History Timeline",{"edge":1892,"hub":1892,"fleet":1892},{"id":2154,"title":2155,"tiers":2156},"unlimited-workflow-executions","Unlimited Workflow Executions",{"edge":1892,"hub":1892,"fleet":1892},{"id":2158,"title":2159,"description":2160,"tiers":2161},"device-fleet-updates","Device Fleet Updates","Connect to edge devices to quickly assess and update logic. Debug one device and roll out improvements to your fleet in minutes, securely without requiring full device access for your whole organisation.",{"edge":1892,"hub":1929,"fleet":1892},{"id":2163,"title":2164,"description":2165,"docsLink":2166,"tiers":2167},"device-group-management","Device Group Management","Logically group devices assigned to an application and integrate device groups into your DevOps Pipeline for coordinated fleet updates.","\u002Fdocs\u002Fuser\u002Fdevice-groups\u002F",{"edge":1892,"hub":1929,"fleet":1892},{"id":2169,"title":2170,"description":2171,"docsLink":2172,"tiers":2173},"high-availability","High Availability","Leverage horizontal scaling for reliable and scalable processing of your data through Node-RED.","\u002Fdocs\u002Fuser\u002Fhigh-availability\u002F",{"edge":1929,"hub":1892,"fleet":1929},{"id":2175,"title":2176,"description":2177,"tiers":2178},"performance-monitoring","Performance Monitoring & Alerts","Track CPU, memory, and event loop performance across your instances and devices, with email alerts when something needs your attention.",{"edge":1892,"hub":1892,"fleet":1892},{"id":2180,"title":2181,"description":2182,"docsLink":2183,"subfeature":1892,"showOnPricing":1929,"tiers":2184},"instance-monitoring","Instance Monitoring","Enable alerts to be sent via email when your Node-RED instances encounter issues.","\u002Fdocs\u002Fuser\u002Finstance-settings\u002F#alerts",{"edge":1892,"hub":1892,"fleet":1892},{"id":2186,"title":2187,"subfeature":1892,"showOnPricing":1929,"tiers":2188},"email-alerts","Email Alerts",{"edge":1892,"hub":1892,"fleet":1892},{"id":2190,"title":2191,"showOnPricing":1929,"tiers":2192},"api-debug-length-limit","API\u002FDebug Length Limit",{"edge":1892,"hub":1892,"fleet":1892},{"id":2194,"title":2195,"tiers":2196},"protected-instances","Protected Instances",{"edge":1929,"hub":1892,"fleet":1929},{"id":2198,"title":2199,"features":2200},"govern-secure","Govern and Secure",[2201,2210,2216,2222,2227,2233,2239,2245,2253,2259,2265,2271],{"id":2202,"title":2203,"description":2204,"docsLink":2205,"changelog":2206,"tiers":2209},"single-sign-on","Single Sign-On (SSO)","Configure FlowFuse to work with your own SSO provider, allowing users to access FlowFuse with a single set of login credentials.","\u002Fdocs\u002Fadmin\u002Fsso\u002F",[2207],{"url":2208,"release":1982},"\u002Fchangelog\u002F2026\u002F07\u002Fapplication-sso-groups\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2211,"title":2212,"description":2213,"docsLink":2214,"tiers":2215},"two-factor-authentication","Two-Factor Authentication","Two-factor authentication adds an extra layer of security to your FlowFuse account.","\u002Fdocs\u002Fuser\u002Fuser-settings\u002F#two-factor-authentication",{"edge":1892,"hub":1892,"fleet":1892},{"id":2217,"title":2218,"description":2219,"docsLink":2220,"tiers":2221},"certified-nodes-it","Certified Nodes - IT","IT certified node bundle includes: Redis, MQTT, HTTP Request, AI nodes (Gemini, Claude, ChatGPT, Ollama), MCP Server","\u002Fblog\u002F2025\u002F07\u002Fcertified-nodes-v2\u002F",{"edge":1929,"hub":1892,"fleet":1892},{"id":2223,"title":2224,"description":2225,"tiers":2226},"certified-nodes-ot","Certified OT Connections - OPC-UA, Modbus, etc.","OT certified node bundle includes: OPC-UA, Modbus TCP & RTU, RTSP, EtherNet\u002FIP, AI nodes (Gemini, Claude, ChatGPT, Ollama), MCP Server",{"edge":1892,"hub":1929,"fleet":1929},{"id":2228,"title":2229,"description":2230,"docsLink":2231,"tiers":2232},"audit-log","Audit Log","Keep track of everything going on in your Node-RED instances and FlowFuse. 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teams.","\u002Fdocs\u002Fuser\u002Frole-based-access-control\u002F#application-level-rbac",{"edge":1892,"hub":1892,"fleet":1892},{"id":2246,"title":2247,"description":2248,"changelog":2249,"subfeature":1892,"showOnPricing":1929,"tiers":2252},"scoped-personal-access-tokens","Scoped Personal Access Tokens","Restrict a Personal Access Token to specific teams, limit it to read-only operations, or control whether it carries admin privileges.",[2250],{"url":2251,"release":1982},"\u002Fchangelog\u002F2026\u002F07\u002Fscoped-pats\u002F",{"edge":1892,"hub":1892,"fleet":1892},{"id":2254,"title":2255,"description":2256,"docsLink":2257,"showOnPricing":1929,"tiers":2258},"team-members","Team Members","Invite multiple team members to collaborate on the same Node-RED flows.","\u002Fdocs\u002Fuser\u002Fteam\u002F#teams",{"edge":1892,"hub":1892,"fleet":1892},{"id":2260,"title":2261,"description":2262,"docsLink":2263,"showOnPricing":1929,"tiers":2264},"endpoint-security","Endpoint Security","Secure 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RBACs",{"path":2745,"title":2746},"\u002Fchangelog\u002F2026\u002F01\u002Fmcp-security","FlowFuse Expert: MCP-Powered Insights",{"path":2748,"title":2749},"\u002Fchangelog\u002F2026\u002F02\u002Fdevice-agent-nodejs-options","Set Node.js Options for Remote Instances",{"path":2751,"title":2752},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-debug-log-context","FlowFuse Expert: Helping you make sense of your debug log",{"path":2754,"title":2755},"\u002Fchangelog\u002F2026\u002F02\u002Fff-expert-update-banner","FlowFuse Expert: Never Miss an Update",{"path":2757,"title":2758},"\u002Fchangelog\u002F2026\u002F02\u002Fha-instance-rolling-restart","HA Hosted Instance Rolling Restart",{"path":2760,"title":2761},"\u002Fchangelog\u002F2026\u002F02\u002Fremote-instances-immersive-editor","Immersive Mode for Remote Instances",{"path":2763,"title":2764},"\u002Fchangelog\u002F2026\u002F02\u002Frestoring-snapshots-to-remote-instances","Restoring snapshots to developer-mode Remote 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