[{"data":1,"prerenderedAt":1515},["ShallowReactive",2],{"article-id-en-on-premise-vs-cloud":3},{"id":4,"title":5,"body":6,"description":1350,"extension":1498,"meta":1499,"navigation":1508,"path":1509,"seo":1510,"stem":1513,"__hash__":1514},"content/en/blog/on-premise-vs-cloud.mdx","On Premise Vs Cloud",{"type":7,"value":8,"toc":1467},"minimark",[9,1339],[10,11,12,17,25,28,101,106,109,114,142,146,149,181,184,188,191,426,428,432,435,440,477,482,520,522,525,529,560,564,595,597,601,605,645,649,687,689,693,696,700,703,708,719,722,725,731,735,738,743,754,757,760,763,768,772,775,778,783,786,800,804,807,818,821,824,829,833,836,850,853,858,869,872,875,880,884,887,890,895,897,930,932,936,943,947,982,986,1020,1025,1051,1061,1064,1069,1109,1112,1117,1151,1160,1165,1168,1171,1183,1186,1190,1193,1197,1200,1214,1218,1238,1243,1277,1283,1289,1295,1297,1301,1304,1307,1309,1313,1326],"section-md",{},[13,14,16],"h2",{"id":15},"what-is-on-premise-deployment","What is On-Premise Deployment",[18,19,20,24],"p",{},[21,22,23],"strong",{},"On-premise"," (or \"local deployment\") is a model of IT system placement where all equipment and software is located within the enterprise itself.\nA simple example: a company purchases servers, installs them in their office or data center, and independently configures all necessary software.",[18,26,27],{},"To better understand the essence, let's compare three main deployment models:",[29,30,31,50],"table",{},[32,33,34],"thead",{},[35,36,37,41,44,47],"tr",{},[38,39,40],"th",{},"Model",[38,42,43],{},"Equipment Location",[38,45,46],{},"Who Manages",[38,48,49],{},"Example",[51,52,53,71,87],"tbody",{},[35,54,55,62,65,68],{},[56,57,58,61],"td",{},[21,59,60],{},"Cloud Deployment"," (Public Cloud)",[56,63,64],{},"In provider data centers (AWS, Azure, Yandex Cloud)",[56,66,67],{},"Provider",[56,69,70],{},"Gmail, Dropbox, database rentals and VPS",[35,72,73,78,81,84],{},[56,74,75],{},[21,76,77],{},"Private Cloud",[56,79,80],{},"In company data center",[56,82,83],{},"Company (but with cloud technologies)",[56,85,86],{},"Corporate OpenStack",[35,88,89,93,95,98],{},[56,90,91],{},[21,92,23],{},[56,94,80],{},[56,96,97],{},"Company fully",[56,99,100],{},"Own server fleet",[102,103,105],"h3",{"id":104},"why-on-premise-is-relevant-now","Why On-Premise is Relevant Now",[18,107,108],{},"Until the 2010s, almost all companies used on-premise.\nThen came the boom in cloud technologies, and many organizations migrated to the cloud.\nHowever, in recent years there has been a reverse trend — more and more companies are moving\nsome systems back to their own infrastructure.",[18,110,111],{},[21,112,113],{},"Main reasons:",[115,116,117,124,130,136],"ul",{},[118,119,120,123],"li",{},[21,121,122],{},"Regulatory requirements"," — laws of many countries require storing certain data within the country",[118,125,126,129],{},[21,127,128],{},"Security"," — organizations working with confidential data (healthcare, finance, government services) want physical control over servers",[118,131,132,135],{},[21,133,134],{},"Cost"," — with constant high load, own infrastructure can be cheaper than cloud",[118,137,138,141],{},[21,139,140],{},"Customization"," — some systems require such deep customization that it's impossible or prohibited in the cloud",[102,143,145],{"id":144},"who-on-premise-suits","Who On-Premise Suits",[18,147,148],{},"Local deployment is specialized for:",[115,150,151,157,163,169,175],{},[118,152,153,156],{},[21,154,155],{},"Banks and financial organizations"," — due to regulatory requirements",[118,158,159,162],{},[21,160,161],{},"Medical institutions"," — to comply with personal data processing requirements",[118,164,165,168],{},[21,166,167],{},"Industrial enterprises"," — for integration with production equipment (ICS/SCADA)",[118,170,171,174],{},[21,172,173],{},"Government structures"," — to ensure information sovereignty",[118,176,177,180],{},[21,178,179],{},"Companies with unique IT systems"," — when ready-made cloud solutions are insufficient",[182,183],"hr",{},[13,185,187],{"id":186},"comparative-analysis-of-deployment-models","Comparative Analysis of Deployment Models",[18,189,190],{},"To better understand the differences between approaches, let's compare the three main models by key aspects.",[29,192,193,207],{},[32,194,195],{},[35,196,197,200,203,205],{},[38,198,199],{},"Aspect",[38,201,202],{},"Cloud Deployment (Public Cloud)",[38,204,77],{},[38,206,23],{},[51,208,209,224,238,254,270,286,302,317,332,348,364,379,395,410],{},[35,210,211,216,219,222],{},[56,212,213],{},[21,214,215],{},"Location",[56,217,218],{},"Provider data centers",[56,220,221],{},"Own data center",[56,223,221],{},[35,225,226,231,233,236],{},[56,227,228],{},[21,229,230],{},"Who manages",[56,232,67],{},[56,234,235],{},"Company + cloud technologies",[56,237,97],{},[35,239,240,245,248,251],{},[56,241,242],{},[21,243,244],{},"Cost model",[56,246,247],{},"OPEX (pay for consumption)",[56,249,250],{},"CAPEX + OPEX (mixed)",[56,252,253],{},"CAPEX (equipment investment)",[35,255,256,261,264,267],{},[56,257,258],{},[21,259,260],{},"Initial costs",[56,262,263],{},"Minimal investment",[56,265,266],{},"Medium investment",[56,268,269],{},"High investment",[35,271,272,277,280,283],{},[56,273,274],{},[21,275,276],{},"Cost predictability",[56,278,279],{},"Can grow unpredictably",[56,281,282],{},"Predictable",[56,284,285],{},"High predictability",[35,287,288,293,296,299],{},[56,289,290],{},[21,291,292],{},"Scalability",[56,294,295],{},"Instant, automatic",[56,297,298],{},"Gradual, manual setup",[56,300,301],{},"Limited by equipment",[35,303,304,309,312,315],{},[56,305,306],{},[21,307,308],{},"Data control",[56,310,311],{},"Partial (data stored with provider)",[56,313,314],{},"Full",[56,316,314],{},[35,318,319,323,326,329],{},[56,320,321],{},[21,322,140],{},[56,324,325],{},"Limited by provider",[56,327,328],{},"Medium (limited by platform)",[56,330,331],{},"Unlimited",[35,333,334,339,342,345],{},[56,335,336],{},[21,337,338],{},"Compliance",[56,340,341],{},"Through provider",[56,343,344],{},"Can be configured",[56,346,347],{},"Full control",[35,349,350,355,358,361],{},[56,351,352],{},[21,353,354],{},"Performance",[56,356,357],{},"Shared resources, possible competition issues",[56,359,360],{},"Dedicated resources (virtualization)",[56,362,363],{},"Dedicated resources (physical)",[35,365,366,371,374,377],{},[56,367,368],{},[21,369,370],{},"Reliability",[56,372,373],{},"Provider SLA",[56,375,376],{},"Based on own setup",[56,378,376],{},[35,380,381,386,389,392],{},[56,382,383],{},[21,384,385],{},"Technical expertise",[56,387,388],{},"Requires cloud engineering team",[56,390,391],{},"Requires DevOps + cloud experts",[56,393,394],{},"Requires systems team",[35,396,397,402,405,408],{},[56,398,399],{},[21,400,401],{},"Deployment time",[56,403,404],{},"Days/weeks",[56,406,407],{},"Months",[56,409,407],{},[35,411,412,417,420,423],{},[56,413,414],{},[21,415,416],{},"Suitable for",[56,418,419],{},"Startups, fast-growing companies, pilot projects, large business",[56,421,422],{},"Medium and large business, hybrid scenarios",[56,424,425],{},"Large enterprises, regulatory requirements, unique systems",[182,427],{},[13,429,431],{"id":430},"pros-and-cons-of-different-deployment-models","Pros and Cons of Different Deployment Models",[102,433,202],{"id":434},"cloud-deployment-public-cloud",[18,436,437],{},[21,438,439],{},"Advantages:",[115,441,442,448,453,459,465,471],{},[118,443,444,447],{},[21,445,446],{},"Fast start"," — infrastructure available in minutes, no need to purchase equipment",[118,449,450,452],{},[21,451,292],{}," — automatic scaling under load, pay only for used resources",[118,454,455,458],{},[21,456,457],{},"Low entry barriers"," — no capital investment required, suitable for startups",[118,460,461,464],{},[21,462,463],{},"Global availability"," — data centers worldwide, ability to deploy in different regions",[118,466,467,470],{},[21,468,469],{},"Managed services"," — PaaS, SaaS, serverless solutions accelerate development",[118,472,473,476],{},[21,474,475],{},"Regular updates"," — provider implements new features and security patches automatically",[18,478,479],{},[21,480,481],{},"Disadvantages:",[115,483,484,490,496,502,508,514],{},[118,485,486,489],{},[21,487,488],{},"Unpredictable expenses"," — bill can grow many times due to unoptimized resources or load spikes",[118,491,492,495],{},[21,493,494],{},"Vendor lock-in"," — dependence on provider ecosystem, migration complexity",[118,497,498,501],{},[21,499,500],{},"Limited control"," — physical access to equipment limited, software settings and configurations too",[118,503,504,507],{},[21,505,506],{},"Hidden costs"," — external traffic, support, premium features can significantly increase the bill",[118,509,510,513],{},[21,511,512],{},"Multi-tenancy"," — performance may vary due to neighboring clients",[118,515,516,519],{},[21,517,518],{},"Regulatory restrictions"," — difficulties with cross-border data transfer, compliance in certain jurisdictions",[182,521],{},[102,523,77],{"id":524},"private-cloud",[18,526,527],{},[21,528,439],{},[115,530,531,537,543,548,554],{},[118,532,533,536],{},[21,534,535],{},"Dedicated resources"," — equipment used only by one organization, more predictable performance",[118,538,539,542],{},[21,540,541],{},"Flexibility"," — can configure environment for specific company requirements",[118,544,545,547],{},[21,546,338],{}," — better than public cloud for some security requirements",[118,549,550,553],{},[21,551,552],{},"Control"," — more control over infrastructure than in public cloud",[118,555,556,559],{},[21,557,558],{},"Elasticity"," — scaling capabilities better than in classic on-premise",[18,561,562],{},[21,563,481],{},[115,565,566,572,578,584,590],{},[118,567,568,571],{},[21,569,570],{},"High complexity"," — requires experts in virtualization and cloud technologies",[118,573,574,577],{},[21,575,576],{},"Significant investment"," — need to purchase equipment and software (OpenStack, VMware, etc.)",[118,579,580,583],{},[21,581,582],{},"Limited customization"," — still limited by cloud platform capabilities",[118,585,586,589],{},[21,587,588],{},"Operational expenses"," — data center maintenance, team, equipment upgrades",[118,591,592,594],{},[21,593,401],{}," — months/years for full deployment",[182,596],{},[102,598,600],{"id":599},"on-premise-deployment","On-Premise Deployment",[18,602,603],{},[21,604,439],{},[115,606,607,612,618,623,628,633,639],{},[118,608,609,611],{},[21,610,347],{}," — absolute power over infrastructure, data, and settings",[118,613,614,617],{},[21,615,616],{},"Maximum customization"," — can change everything: from OS kernel to network protocols",[118,619,620,622],{},[21,621,128],{}," — physical control, no multi-tenancy risks, own security policies",[118,624,625,627],{},[21,626,338],{}," — full compliance with requirements, simplified audit",[118,629,630,632],{},[21,631,354],{}," — dedicated resources, predictable latency, no provider performance limitations",[118,634,635,638],{},[21,636,637],{},"Independence"," — no dependence on providers, can change technologies and providers",[118,640,641,644],{},[21,642,643],{},"Long-term savings"," — with constant load pays off in 2-4 years",[18,646,647],{},[21,648,481],{},[115,650,651,657,663,669,675,681],{},[118,652,653,656],{},[21,654,655],{},"High CAPEX"," — large initial investment in equipment and licenses",[118,658,659,662],{},[21,660,661],{},"Management complexity"," — requires qualified systems team",[118,664,665,668],{},[21,666,667],{},"Long deployment"," — months or years for full setup",[118,670,671,674],{},[21,672,673],{},"Obsolescence risks"," — equipment becomes outdated, requires replacement and updates",[118,676,677,680],{},[21,678,679],{},"Limited scalability"," — for scaling need to purchase new equipment",[118,682,683,686],{},[21,684,685],{},"Operational responsibility"," — all problems (from equipment failure to updates) on your team",[182,688],{},[13,690,692],{"id":691},"key-problems-of-cloud-model-and-benefits-of-on-premise","Key Problems of Cloud Model and Benefits of On-Premise",[18,694,695],{},"Now that we've covered on-premise basics, let's move to detailed consideration of key benefits, challenges, and practical aspects of local deployment.",[102,697,699],{"id":698},"_1-data-leak-risks-and-security-breaches","1. Data Leak Risks and Security Breaches",[18,701,702],{},"Cloud providers store multiple clients' data on the same physical servers.\nEven with virtual isolation, risks remain: configuration errors, hypervisor vulnerabilities, insider threats.",[18,704,705],{},[21,706,707],{},"Real incident examples:",[115,709,710,713,716],{},[118,711,712],{},"Accidental exposure of AWS S3 buckets with confidential data",[118,714,715],{},"Leaks due to improperly configured access permissions",[118,717,718],{},"Side-channel attacks on shared processors",[18,720,721],{},"For healthcare and finance, such a leak threatens multimillion-dollar fines under, as well as license loss.",[18,723,724],{},"Even with client-side data encryption, there remains risk of key compromise or metadata stored with the provider.\nCloud model means transferring control over physical information carriers to an external organization, which many regulators consider a critical risk.\nAuditors note difficulty verifying actual data location in distributed cloud systems.",[18,726,727,730],{},[21,728,729],{},"How on-premise solves:"," Local deployment ensures physical and logical control over all data storage and transmission points.\nThe company independently determines security architecture: from network segmentation to choosing encryption algorithms.\nData never leaves the organization perimeter without explicit permission, simplifying audit and compliance with regulatory requirements.\nAt the same time, there is full transparency: server room access, surveillance camera footage, logs of all operations — everything under internal security service control.",[102,732,734],{"id":733},"_2-provider-dependence-and-vendor-lock-in","2. Provider Dependence and Vendor Lock-in",[18,736,737],{},"Cloud providers create ecosystems that are hard to abandon.",[18,739,740],{},[21,741,742],{},"Proprietary service examples:",[115,744,745,748,751],{},[118,746,747],{},"AWS Lambda Step Functions",[118,749,750],{},"Azure Logic Apps",[118,752,753],{},"Google Cloud AI Platform",[18,755,756],{},"They have unique APIs and data formats. After several years of operation, migration becomes a complex task: requires code rewriting, data conversion, monitoring reconfiguration.",[18,758,759],{},"Providers can change prices, SLA conditions, data center geography — and the client has no leverage.",[18,761,762],{},"Critical incidents also happen: region outages, loss of connection to key services, data policy changes.\nIn the 2020s, several major providers introduced restrictions on work with clients from certain jurisdictions,\nthreatening business continuity. Dependence on one provider is especially risky for mission-critical systems.",[18,764,765,767],{},[21,766,729],{}," With local deployment, the organization fully owns infrastructure and can choose any technologies, drivers, software versions.\nNo restrictions on portability: systems can be moved to another data center, change equipment provider,\nmodify architecture for new requirements.\nFull access to source code, configurations, and logs means independence from external service condition changes.\nThis is especially important for long-term projects (5-10+ years) where requirements evolution is expected.",[102,769,771],{"id":770},"_3-unpredictable-expenses-and-hidden-costs","3. Unpredictable Expenses and Hidden Costs",[18,773,774],{},"Cloud \"pay-as-you-go\" payment model seems convenient, but as load grows, expenses can increase disproportionately.\nUnexpected bills arise from: forgotten test servers, unoptimized database queries, external traffic,\nextended support, data transfer between regions.\nCompanies often find actual cloud infrastructure cost exceeds initial estimate by 50-200%.",[18,776,777],{},"Peak loads (e.g., during marketing campaign or DDoS attack) are especially painful.\nThey lead to multiple expense growth over a short period. Budgeting becomes constant stress:\neach new service, each additional VM can unpredictably increase the monthly bill.",[18,779,780,782],{},[21,781,729],{}," Local model involves large capital expenditures (CAPEX) at deployment stage, but then expenses become predictable.\nTotal cost of ownership includes equipment depreciation, electricity, cooling, maintenance — all these components can be planned several years ahead.\nNo hidden payments for query count, data volume, or premium features.\nWith constant or predictably growing load, own infrastructure pays off in 2-4 years, then brings significant savings compared to subscription.",[18,784,785],{},"On the other hand, this model requires additional costs:",[115,787,788,791,794,797],{},[118,789,790],{},"Hiring employees to support and maintain equipment",[118,792,793],{},"Possible changes in electricity and internet pricing",[118,795,796],{},"Ensuring fault tolerance for power supply and internet access (connecting multiple providers)",[118,798,799],{},"Equipment upgrades when scaling is necessary.",[102,801,803],{"id":802},"_4-customization-and-integration-limitations","4. Customization and Integration Limitations",[18,805,806],{},"Cloud platforms offer ready-made services with a fixed set of capabilities.\nDeep customization is often impossible:",[115,808,809,812,815],{},[118,810,811],{},"Cannot change database table structure",[118,813,814],{},"Cannot install non-standard drivers",[118,816,817],{},"Difficult to integrate with legacy equipment via specific protocols",[18,819,820],{},"Cloud service APIs have limits on query count, data size, and formats.",[18,822,823],{},"Additionally, cloud providers regularly force update services, which can break existing integrations.\nRolling back to previous version is often impossible.\nCompanies with unique business processes are forced to adapt their work to cloud platform limitations, not vice versa.",[18,825,826,828],{},[21,827,729],{}," Full control over technology stack means any customization is possible.\nCan change configuration at OS kernel level, install specialized drivers, modify database schemas, integrate systems via non-standard protocols.\nLegacy system support is implemented through dedicated gateways and local networks without internet access.\nUpdate schedule is fully determined by internal team: can delay update, conduct thorough testing, roll back if problems occur.\nThis is especially critical for industrial enterprises, banking sector, public sector, where systems decades old operate.",[102,830,832],{"id":831},"_5-compliance-challenges","5. Compliance Challenges",[18,834,835],{},"Many industries are heavily regulated:",[115,837,838,844],{},[118,839,840,843],{},[21,841,842],{},"PCI DSS"," — for payment systems",[118,845,846,849],{},[21,847,848],{},"HIPAA"," — for healthcare",[18,851,852],{},"Cloud providers offer compliance certificates, but they're often insufficient.",[18,854,855],{},[21,856,857],{},"Problems:",[115,859,860,863,866],{},[118,861,862],{},"Regulators require documenting physical server access",[118,864,865],{},"Logs must be stored within the country",[118,867,868],{},"Cross-border data transfer is restricted",[18,870,871],{},"When using geo-distributed cloud, data can replicate between jurisdictions automatically — this violates regulatory requirements.",[18,873,874],{},"Audit in cloud model is complicated: physical server access limited, logs stored with provider, procedure for obtaining audit information can take weeks.\nSome regulators (e.g., FSTEC of Russia) have requirements for information protection tools that are difficult or impossible to implement in standard cloud configurations.",[18,876,877,879],{},[21,878,729],{}," Local deployment simplifies inspections and compliance through full control over infrastructure and data.\nLocation of each server is documented and verified. All logs, metrics, audit journals stored under full organization control.\nCan implement any protection tools: access control, threat detection and prevention systems, DLP, SIEM meeting specific standard requirements.\nAuditors get full access to equipment, documentation, and change history. This significantly reduces fine risks and simplifies passing inspections.",[102,881,883],{"id":882},"_6-performance-issues-with-multi-tenancy","6. Performance Issues with Multi-tenancy",[18,885,886],{},"In public clouds, resources are shared among multiple clients (multi-tenancy).\nEven with provider guarantees of vCPU and memory allocation, there's competition for physical resources: processor cache, memory bandwidth, neighboring VMs' network stack.\nIn practice, this manifests as unpredictable latency: sometimes request processed in 10ms, sometimes in 200ms on the same equipment.\nFor performance-sensitive applications (trading, real-time telemetry, industrial controllers) this is unacceptable.",[18,888,889],{},"Moreover, cloud providers apply performance throttling models: when limits exceeded, performance drops dramatically.\nResources with guaranteed performance cost significantly more.\nAnd at peak loads, auto-scaling may not keep up, leading to service degradation.",[18,891,892,894],{},[21,893,729],{}," Dedicated equipment ensures predictable and stable performance.\nNo neighbors competing for resources. Network latency limited only by local infrastructure and can be minimized to fractions of a millisecond.\nCan accurately plan reserve for peak loads and verify through load testing\nthat system handles required RPS. This is especially important for real-time systems, high-load databases, compute clusters.",[182,896],{},[898,899,900,905,908,911,922],"blockquote",{},[18,901,902],{},[21,903,904],{},"Important to understand",[18,906,907],{},"Transition to on-premise is a serious decision requiring careful planning and expertise. Design stage mistakes can be costly in the future.",[18,909,910],{},"The Softellion team will help you:",[115,912,913,916,919],{},[118,914,915],{},"Assess your company's readiness to transition to local infrastructure",[118,917,918],{},"Conduct TCO analysis and compare costs with cloud model",[118,920,921],{},"Design architecture considering your security and compliance requirements",[18,923,924,929],{},[925,926,928],"a",{"href":927},"/en#contacts","Get a free consultation"," and find out which approach suits you best.",[182,931],{},[13,933,935],{"id":934},"practical-steps-for-different-aspects-of-local-deployment","Practical Steps for Different Aspects of Local Deployment",[18,937,938],{},[939,940],"img",{"alt":941,"src":942},"Migration steps","/img/blog/on-premise-vs-cloud/migration-en.png",[102,944,946],{"id":945},"equipment","Equipment",[115,948,949,966],{},[118,950,951,954,955],{},[21,952,953],{},"Physical placement",":",[115,956,957,960,963],{},[118,958,959],{},"Verify servers and backup systems are physically in approved premises",[118,961,962],{},"Ensure access logs and video surveillance stored according to internal policies",[118,964,965],{},"Conduct server room access review",[118,967,968,954,971],{},[21,969,970],{},"Equipment inventory",[115,972,973,976,979],{},[118,974,975],{},"Create current registry of servers, network equipment, and licenses",[118,977,978],{},"Document update cycles to prevent obsolescence",[118,980,981],{},"Fix warranty terms and service conditions",[102,983,985],{"id":984},"configuration","Configuration",[115,987,988,1004],{},[118,989,990,954,993],{},[21,991,992],{},"Configuration consistency",[115,994,995,998,1001],{},[118,996,997],{},"Maintain configuration control matrix for all environments (dev, test, prod)",[118,999,1000],{},"Verify changes go through configuration management system (Ansible, Puppet)",[118,1002,1003],{},"Automate deployments and apply pull-requests with mandatory code review",[118,1005,1006,954,1009],{},[21,1007,1008],{},"Integration metrics",[115,1010,1011,1014,1017],{},[118,1012,1013],{},"Measure data exchange time between modules",[118,1015,1016],{},"Track synchronization error count and rollback duration",[118,1018,1019],{},"Ensure values meet SLA",[1021,1022,1024],"h4",{"id":1023},"whats-important","What's Important",[115,1026,1027,1033,1039,1045],{},[118,1028,1029,1032],{},[21,1030,1031],{},"Configuration as Code"," — allows fixing all configurations in version control system, managing changes, and knowing current settings state",[118,1034,1035,1038],{},[21,1036,1037],{},"Unlimited architecture modification"," — can change database schemas, connect own drivers, experiment with technologies",[118,1040,1041,1044],{},[21,1042,1043],{},"Legacy system support"," — integration with ICS/SCADA, industrial gateways, and specialized devices via local networks",[118,1046,1047,1050],{},[21,1048,1049],{},"Versioning flexibility"," — locally can work with any stable software version and roll back if problems occur",[898,1052,1053],{},[18,1054,1055,1056,1060],{},"For managing on-premise infrastructure deployment projects, open-source tools are suitable. ",[925,1057,1059],{"href":1058},"/en/blog/project-management-tools-comparison","Comparison of popular solutions",".",[102,1062,128],{"id":1063},"security",[18,1065,1066],{},[21,1067,1068],{},"Security verification checklist",[115,1070,1071,1090],{},[118,1072,1073,954,1076],{},[21,1074,1075],{},"Access mode",[115,1077,1078,1081,1084,1087],{},[118,1079,1080],{},"Regularly test authentication and authorization mechanisms",[118,1082,1083],{},"Conduct pentests and threat modeling to identify possible protection bypass routes",[118,1085,1086],{},"Review all permissions at OS and database level",[118,1088,1089],{},"Ensure minimal privilege set corresponds to principle of least privilege",[118,1091,1092,954,1095],{},[21,1093,1094],{},"Compliance audit",[115,1096,1097,1100,1103,1106],{},[118,1098,1099],{},"Compare current settings with standard requirements (GDPR, HIPAA)",[118,1101,1102],{},"Fix audit reports and store for subsequent inspections",[118,1104,1105],{},"Check change log in version control system",[118,1107,1108],{},"Ensure all security changes are documented and agreed upon",[102,1110,354],{"id":1111},"performance",[18,1113,1114],{},[21,1115,1116],{},"Performance monitoring checklist",[115,1118,1119,1135],{},[118,1120,1121,954,1124],{},[21,1122,1123],{},"Load tests",[115,1125,1126,1129,1132],{},[118,1127,1128],{},"Perform stress testing of compute nodes and network components",[118,1130,1131],{},"Measure response time and peak throughput",[118,1133,1134],{},"Ensure infrastructure handles maximum loads",[118,1136,1137,954,1140],{},[21,1138,1139],{},"Fault tolerance plan",[115,1141,1142,1145,1148],{},[118,1143,1144],{},"Check system operation during equipment failure (node shutdown, channel break)",[118,1146,1147],{},"Fix test results in report, including failover time and percentage of recovered transactions",[118,1149,1150],{},"Conduct regular failover drills between nodes",[898,1152,1153],{},[18,1154,1155,1156,1060],{},"Learn more about monitoring methodologies (RED, USE, LTES) and metric selection in our article ",[925,1157,1159],{"href":1158},"/en/blog/how-to-setup-monitoring","How to Build Monitoring Systematically and Effectively",[18,1161,1162],{},[21,1163,1164],{},"Common mistake",[18,1166,1167],{},"Many companies believe that after purchasing powerful servers, performance and reliability are automatically ensured.\nThis is not true: without maintenance plan, regular firmware updates, and fault tolerance testing, small failures lead to long downtimes.",[18,1169,1170],{},"To fix the problem, it's necessary to:",[1172,1173,1174,1177,1180],"ol",{},[118,1175,1176],{},"Develop capacity planning procedure",[118,1178,1179],{},"Install real-time monitoring solutions",[118,1181,1182],{},"Regularly test failovers and conduct disaster recovery drills",[18,1184,1185],{},"Dedicated resources ensure predictable performance, but stable operation requires update control.",[102,1187,1189],{"id":1188},"financial-transparency-and-planning","Financial Transparency and Planning",[18,1191,1192],{},"After considering technical aspects of security and performance,\nthe financial side is important for decision making.\nLocal deployment requires significant initial investment, but with proper planning can be more profitable in long-term perspective.",[1021,1194,1196],{"id":1195},"implementation-steps","Implementation Steps",[18,1198,1199],{},"Deployment on own infrastructure requires competent approach to financial planning.",[115,1201,1202,1205,1208,1211],{},[118,1203,1204],{},"First, resource volume is assessed: number of servers, storage devices, network equipment, and licenses.",[118,1206,1207],{},"Then budget is compiled accounting for equipment cost, installation, power supply, and cooling.",[118,1209,1210],{},"Hiring plan and requirements for employees who will ensure equipment operation are prepared.",[118,1212,1213],{},"Regular maintenance and update costs are estimated.",[1021,1215,1217],{"id":1216},"control-points","Control Points",[115,1219,1220,1226,1232],{},[118,1221,1222,1225],{},[21,1223,1224],{},"TCO (Total Cost of Ownership) analysis",": consider not only equipment purchase but also operational expenses: electricity, support, premises rent. Compare with cloud model over several years horizon.",[118,1227,1228,1231],{},[21,1229,1230],{},"Resource optimization",": regularly analyze server load. When identifying underutilized resources, consider virtualization or consolidation.",[118,1233,1234,1237],{},[21,1235,1236],{},"Procurement transparency",": maintain detailed log of equipment and software purchases; control warranty terms and service conditions.",[18,1239,1240],{},[21,1241,1242],{},"Financial control checklist",[115,1244,1245,1261],{},[118,1246,1247,954,1250],{},[21,1248,1249],{},"Comparative analysis",[115,1251,1252,1255,1258],{},[118,1253,1254],{},"Regularly recalculate cost of ownership, considering equipment depreciation and subscription savings",[118,1256,1257],{},"Check if plan matches actual spending",[118,1259,1260],{},"Analyze server load and identify underutilized resources",[118,1262,1263,954,1266],{},[21,1264,1265],{},"ROI metrics",[115,1267,1268,1271,1274],{},[118,1269,1270],{},"Track investment payback",[118,1272,1273],{},"Calculate time needed to compare capital expenditures with alternative cloud costs",[118,1275,1276],{},"Maintain detailed log of equipment and software purchases",[18,1278,1279,1282],{},[21,1280,1281],{},"Erroneous scenario",": startup decided to use local servers for machine learning.\nDue to lack of total cost of ownership analysis, a year later it turned out equipment idle most of the time\nand electricity and maintenance costs exceeded cloud savings.",[18,1284,1285,1288],{},[21,1286,1287],{},"Why occurs",": lack of preliminary TCO analysis and misunderstanding of load nature (irregular vs constant).",[18,1290,1291,1294],{},[21,1292,1293],{},"How to fix",": conduct thorough TCO analysis before deployment, considering load nature, and consider hybrid model for irregular tasks.",[182,1296],{},[13,1298,1300],{"id":1299},"conclusion","Conclusion",[18,1302,1303],{},"Deployment on own infrastructure represents a classic model where organization independently manages infrastructure and data.\nThis approach ensures maximum possible control, configuration flexibility, and high security level.\nCompanies can adapt systems to unique processes, integrate legacy protocols, manage update schedules, and build complex CI/CD pipelines.",[18,1305,1306],{},"However, choosing local model is accompanied by increased capital expenditures and need for equipment maintenance.\nWhen making decision, it's important to evaluate regulatory requirements, data criticality level, performance, and long-term financial perspectives.",[182,1308],{},[13,1310,1312],{"id":1311},"further-reading","Further Reading",[115,1314,1315,1320],{},[118,1316,1317,1319],{},[925,1318,1159],{"href":1158}," — metric collection methodologies, RED, USE, LTES",[118,1321,1322,1325],{},[925,1323,1324],{"href":1058},"Comparison of Open-Source Task Management Solutions"," — OpenProject, Huly, Taiga, Redmine and others",[898,1327,1328,1333],{},[18,1329,1330],{},[21,1331,1332],{},"Need help implementing on-premise solution?",[18,1334,1335,1336,1060],{},"The Softellion team will help design and implement local infrastructure considering your requirements. ",[925,1337,1338],{"href":927},"Order a free consultation",[1340,1341,1343,1359,1372,1391,1404,1417,1430,1441,1454],"faq",{"title":1342},"Frequently Asked Questions",[1344,1345,1347,1354],"faq-item",{"value":1346},"item-1",[1348,1349,1351],"template",{"v-slot:question":1350},"",[18,1352,1353],{},"How does local deployment differ from private cloud?",[1348,1355,1356],{"v-slot:answer":1350},[18,1357,1358],{},"Deployment on own servers means\nthe company fully controls equipment and software, including updates and maintenance.\nPrivate cloud can be located in the same data center,\nbut uses virtualization and automation to provide resources on demand.\nIn both cases, data remains under organization control,\nbut private cloud usually requires more complex architecture and orchestration.",[1344,1360,1362,1367],{"value":1361},"item-2",[1348,1363,1364],{"v-slot:question":1350},[18,1365,1366],{},"How to understand if local model suits my organization?",[1348,1368,1369],{"v-slot:answer":1350},[18,1370,1371],{},"Evaluate level of regulatory requirements and data criticality.\nIf laws or contracts require physical data placement, and internet access is unstable,\nlocal model will be preferable. It's also important to have competent team for maintenance.\nConduct TCO analysis and compare with cloud service costs.",[1344,1373,1375,1380],{"value":1374},"item-3",[1348,1376,1377],{"v-slot:question":1350},[18,1378,1379],{},"What tools help automate local infrastructure management?",[1348,1381,1382,1388],{"v-slot:answer":1350},[18,1383,1384,1385,1060],{},"DevOps teams use Ansible, Terraform, and Kubernetes for deployment automation and configuration management.\nFor monitoring, Prometheus, Grafana, and logging systems are used — ",[925,1386,1387],{"href":1158},"we wrote about this in a separate article",[18,1389,1390],{},"These tools allow maintaining infrastructure at level comparable with cloud services and integrating it into CI/CD processes.",[1344,1392,1394,1399],{"value":1393},"item-4",[1348,1395,1396],{"v-slot:question":1350},[18,1397,1398],{},"What risks are associated with maintaining own servers?",[1348,1400,1401],{"v-slot:answer":1350},[18,1402,1403],{},"Main risks are related to equipment failure, security vulnerabilities, and growing scalability requirements.\nNeed to budget for spare components, planned firmware updates, and regular resilience testing.\nWithout this, downtimes can be long, and consequence remediation expensive.",[1344,1405,1407,1412],{"value":1406},"item-5",[1348,1408,1409],{"v-slot:question":1350},[18,1410,1411],{},"Can local deployment be combined with cloud?",[1348,1413,1414],{"v-slot:answer":1350},[18,1415,1416],{},"Yes, hybrid model allows storing confidential data locally,\nwhile moving applications with peak loads to cloud.\nThis reduces requirements for own resources and ensures scaling flexibility.\nWith this approach, it's important to ensure stable connection between sites and unified authentication mechanism.",[1344,1418,1420,1425],{"value":1419},"item-6",[1348,1421,1422],{"v-slot:question":1350},[18,1423,1424],{},"How to ensure security with remote access to local infrastructure?",[1348,1426,1427],{"v-slot:answer":1350},[18,1428,1429],{},"Use VPN or secure channels (TLS) for connection.\nMandatory implement multi-factor authentication and control devices employees connect from.\nRegularly check access logs and update certificates.\nSecure remote access requires configuring IP whitelists, encryption, and integration with user management system.",[1344,1431,1433,1437],{"value":1432},"item-7",[1348,1434,1435],{"v-slot:question":1350},[18,1436,1424],{},[1348,1438,1439],{"v-slot:answer":1350},[18,1440,1429],{},[1344,1442,1444,1449],{"value":1443},"item-8",[1348,1445,1446],{"v-slot:question":1350},[18,1447,1448],{},"What to consider when scaling local resources?",[1348,1450,1451],{"v-slot:answer":1350},[18,1452,1453],{},"Create resource consumption forecast plan based on load growth.\nWhen adding servers, consider power, cooling, and redundancy requirements.\nUse automation to accelerate new node setup.\nIt's also important to plan network connection volume so expansion doesn't become bottleneck.",[1344,1455,1457,1462],{"value":1456},"item-9",[1348,1458,1459],{"v-slot:question":1350},[18,1460,1461],{},"How to control software updates on local servers?",[1348,1463,1464],{"v-slot:answer":1350},[18,1465,1466],{},"Create centralized update management process.\nFirst test patches and new versions in isolated environment, then plan deployment in production system.\nUse automation tools (e.g., Ansible)\nthat allow applying updates to multiple servers and rolling back system to previous version in case of error.",{"title":1350,"searchDepth":1468,"depth":1468,"links":1469},2,[1470,1475,1476,1481,1489,1496,1497],{"id":15,"depth":1468,"text":16,"children":1471},[1472,1474],{"id":104,"depth":1473,"text":105},3,{"id":144,"depth":1473,"text":145},{"id":186,"depth":1468,"text":187},{"id":430,"depth":1468,"text":431,"children":1477},[1478,1479,1480],{"id":434,"depth":1473,"text":202},{"id":524,"depth":1473,"text":77},{"id":599,"depth":1473,"text":600},{"id":691,"depth":1468,"text":692,"children":1482},[1483,1484,1485,1486,1487,1488],{"id":698,"depth":1473,"text":699},{"id":733,"depth":1473,"text":734},{"id":770,"depth":1473,"text":771},{"id":802,"depth":1473,"text":803},{"id":831,"depth":1473,"text":832},{"id":882,"depth":1473,"text":883},{"id":934,"depth":1468,"text":935,"children":1490},[1491,1492,1493,1494,1495],{"id":945,"depth":1473,"text":946},{"id":984,"depth":1473,"text":985},{"id":1063,"depth":1473,"text":128},{"id":1111,"depth":1473,"text":354},{"id":1188,"depth":1473,"text":1189},{"id":1299,"depth":1468,"text":1300},{"id":1311,"depth":1468,"text":1312},"mdx",{"readTime":1500,"image":1501,"date":1502,"tags":1503,"authors":1506},"18 minutes","/img/blog/on-premise-vs-cloud/preview.png","2026-03-06",[1504,1505],"DevOps","infrastructure",[1507],"evgeny-gurin",true,"/en/blog/on-premise-vs-cloud",{"title":1511,"description":1512},"On-Premise Deployment: Understanding and Benefits","This article explains what on-premise deployment is, its benefits for control, security, customization, and financial predictability, and offers practical recommendations for DevOps teams.","en/blog/on-premise-vs-cloud","ykN39uVZKKKKeP1kxQ6n-xZ0kYXMGZfJpy6qSM84zGk",1773734802783]