[{"data":1,"prerenderedAt":1189},["ShallowReactive",2],{"\u002Fblog\u002Fmonitoring-microservices-health-checks":3},{"id":4,"title":5,"author":6,"body":8,"category":1178,"date":1179,"description":1180,"extension":1181,"image":1182,"lastUpdated":1182,"meta":1183,"navigation":1184,"path":1185,"readingTime":432,"seo":1186,"stem":1187,"__hash__":1188},"blog\u002Fblog\u002Fmonitoring-microservices-health-checks.md","Monitoring Microservices - A Practical Guide to Health Checks",{"name":7},"Vantaj Team",{"type":9,"value":10,"toc":1148},"minimark",[11,16,20,23,26,29,33,36,99,102,107,114,120,186,189,193,442,445,674,682,686,690,693,698,713,716,720,723,728,748,752,755,759,779,783,786,790,810,814,817,822,836,839,843,846,850,877,881,905,909,913,1023,1027,1030,1033,1044,1047,1051,1054,1057,1061,1065,1068,1072,1075,1079,1082,1086,1089,1093,1096,1099,1141,1144],[12,13,15],"h2",{"id":14},"more-services-more-ways-to-break","More Services, More Ways to Break",[17,18,19],"p",{},"A monolith has one thing that can go down. A microservices architecture has dozens - and when one service fails, the blast radius is unpredictable.",[17,21,22],{},"Your user service is healthy. Your billing service is healthy. But the internal API gateway that routes between them is dropping 30% of requests, and neither service knows. Users see intermittent failures with no pattern, your dashboards are green, and your team is debugging ghosts.",[17,24,25],{},"Microservices monitoring isn't harder because there are more endpoints. It's harder because failures are distributed, partial, and cascade in ways that are impossible to reason about from a single service's perspective.",[17,27,28],{},"This guide covers how to structure health checks across a microservices architecture, what to monitor beyond individual service uptime, and how to catch the failures that only appear at the seams.",[12,30,32],{"id":31},"what-a-health-check-actually-needs-to-verify","What a Health Check Actually Needs to Verify",[17,34,35],{},"Most health check endpoints look like this:",[37,38,43],"pre",{"className":39,"code":40,"language":41,"meta":42,"style":42},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","GET \u002Fhealth\n→ 200 OK\n{ \"status\": \"ok\" }\n","json","",[44,45,46,55,68],"code",{"__ignoreMap":42},[47,48,51],"span",{"class":49,"line":50},"line",1,[47,52,54],{"class":53},"sTEyZ","GET \u002Fhealth\n",[47,56,58,61,65],{"class":49,"line":57},2,[47,59,60],{"class":53},"→ ",[47,62,64],{"class":63},"sbssI","200",[47,66,67],{"class":53}," OK\n",[47,69,71,75,78,82,85,88,90,94,96],{"class":49,"line":70},3,[47,72,74],{"class":73},"sMK4o","{",[47,76,77],{"class":73}," \"",[47,79,81],{"class":80},"spNyl","status",[47,83,84],{"class":73},"\"",[47,86,87],{"class":73},":",[47,89,77],{"class":73},[47,91,93],{"class":92},"sfazB","ok",[47,95,84],{"class":73},[47,97,98],{"class":73}," }\n",[17,100,101],{},"This confirms the process is running. It doesn't confirm the service can do its job. A service that can't reach its database, can't connect to its message queue, or can't authenticate with a downstream dependency is technically \"alive\" but functionally useless.",[103,104,106],"h3",{"id":105},"shallow-vs-deep-health-checks","Shallow vs. Deep Health Checks",[17,108,109,113],{},[110,111,112],"strong",{},"Shallow health checks"," verify the process is running and can accept HTTP requests. They're fast, cheap, and useful for load balancers and orchestrators that need to know whether to route traffic to an instance.",[17,115,116,119],{},[110,117,118],{},"Deep health checks"," verify the service can actually perform work - that its database connection is live, its cache is reachable, its required downstream services respond, and its critical configuration is loaded.",[121,122,123,142],"table",{},[124,125,126],"thead",{},[127,128,129,133,136,139],"tr",{},[130,131,132],"th",{},"Check Type",[130,134,135],{},"What It Verifies",[130,137,138],{},"Use Case",[130,140,141],{},"Latency",[143,144,145,167],"tbody",{},[127,146,147,158,161,164],{},[148,149,150,153,154,157],"td",{},[110,151,152],{},"Shallow"," (",[44,155,156],{},"\u002Fhealth",")",[148,159,160],{},"Process alive, HTTP listener active",[148,162,163],{},"Load balancer routing, container orchestration",[148,165,166],{},"\u003C 10ms",[127,168,169,177,180,183],{},[148,170,171,153,174,157],{},[110,172,173],{},"Deep",[44,175,176],{},"\u002Fhealth\u002Fready",[148,178,179],{},"DB, cache, queue, downstream deps",[148,181,182],{},"External monitoring, deploy readiness gates",[148,184,185],{},"50–500ms",[17,187,188],{},"For external monitoring - the kind that tells your team when something is actually broken - you want deep health checks. Shallow checks give you a false sense of security.",[103,190,192],{"id":191},"what-a-good-deep-health-check-returns","What a Good Deep Health Check Returns",[37,194,196],{"className":39,"code":195,"language":41,"meta":42,"style":42},"GET \u002Fhealth\u002Fready\n→ 200 OK\n{\n  \"status\": \"ok\",\n  \"checks\": {\n    \"database\": { \"status\": \"ok\", \"latency_ms\": 3 },\n    \"redis\": { \"status\": \"ok\", \"latency_ms\": 1 },\n    \"auth_service\": { \"status\": \"ok\", \"latency_ms\": 45 },\n    \"message_queue\": { \"status\": \"ok\", \"latency_ms\": 8 }\n  }\n}\n",[44,197,198,203,211,216,237,252,301,344,387,430,436],{"__ignoreMap":42},[47,199,200],{"class":49,"line":50},[47,201,202],{"class":53},"GET \u002Fhealth\u002Fready\n",[47,204,205,207,209],{"class":49,"line":57},[47,206,60],{"class":53},[47,208,64],{"class":63},[47,210,67],{"class":53},[47,212,213],{"class":49,"line":70},[47,214,215],{"class":73},"{\n",[47,217,219,222,224,226,228,230,232,234],{"class":49,"line":218},4,[47,220,221],{"class":73},"  \"",[47,223,81],{"class":80},[47,225,84],{"class":73},[47,227,87],{"class":73},[47,229,77],{"class":73},[47,231,93],{"class":92},[47,233,84],{"class":73},[47,235,236],{"class":73},",\n",[47,238,240,242,245,247,249],{"class":49,"line":239},5,[47,241,221],{"class":73},[47,243,244],{"class":80},"checks",[47,246,84],{"class":73},[47,248,87],{"class":73},[47,250,251],{"class":73}," {\n",[47,253,255,258,262,264,266,269,271,273,275,277,279,281,283,286,288,291,293,295,298],{"class":49,"line":254},6,[47,256,257],{"class":73},"    \"",[47,259,261],{"class":260},"sBMFI","database",[47,263,84],{"class":73},[47,265,87],{"class":73},[47,267,268],{"class":73}," {",[47,270,77],{"class":73},[47,272,81],{"class":63},[47,274,84],{"class":73},[47,276,87],{"class":73},[47,278,77],{"class":73},[47,280,93],{"class":92},[47,282,84],{"class":73},[47,284,285],{"class":73},",",[47,287,77],{"class":73},[47,289,290],{"class":63},"latency_ms",[47,292,84],{"class":73},[47,294,87],{"class":73},[47,296,297],{"class":63}," 3",[47,299,300],{"class":73}," },\n",[47,302,304,306,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,342],{"class":49,"line":303},7,[47,305,257],{"class":73},[47,307,308],{"class":260},"redis",[47,310,84],{"class":73},[47,312,87],{"class":73},[47,314,268],{"class":73},[47,316,77],{"class":73},[47,318,81],{"class":63},[47,320,84],{"class":73},[47,322,87],{"class":73},[47,324,77],{"class":73},[47,326,93],{"class":92},[47,328,84],{"class":73},[47,330,285],{"class":73},[47,332,77],{"class":73},[47,334,290],{"class":63},[47,336,84],{"class":73},[47,338,87],{"class":73},[47,340,341],{"class":63}," 1",[47,343,300],{"class":73},[47,345,347,349,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,385],{"class":49,"line":346},8,[47,348,257],{"class":73},[47,350,351],{"class":260},"auth_service",[47,353,84],{"class":73},[47,355,87],{"class":73},[47,357,268],{"class":73},[47,359,77],{"class":73},[47,361,81],{"class":63},[47,363,84],{"class":73},[47,365,87],{"class":73},[47,367,77],{"class":73},[47,369,93],{"class":92},[47,371,84],{"class":73},[47,373,285],{"class":73},[47,375,77],{"class":73},[47,377,290],{"class":63},[47,379,84],{"class":73},[47,381,87],{"class":73},[47,383,384],{"class":63}," 45",[47,386,300],{"class":73},[47,388,390,392,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,428],{"class":49,"line":389},9,[47,391,257],{"class":73},[47,393,394],{"class":260},"message_queue",[47,396,84],{"class":73},[47,398,87],{"class":73},[47,400,268],{"class":73},[47,402,77],{"class":73},[47,404,81],{"class":63},[47,406,84],{"class":73},[47,408,87],{"class":73},[47,410,77],{"class":73},[47,412,93],{"class":92},[47,414,84],{"class":73},[47,416,285],{"class":73},[47,418,77],{"class":73},[47,420,290],{"class":63},[47,422,84],{"class":73},[47,424,87],{"class":73},[47,426,427],{"class":63}," 8",[47,429,98],{"class":73},[47,431,433],{"class":49,"line":432},10,[47,434,435],{"class":73},"  }\n",[47,437,439],{"class":49,"line":438},11,[47,440,441],{"class":73},"}\n",[17,443,444],{},"When a dependency fails:",[37,446,448],{"className":39,"code":447,"language":41,"meta":42,"style":42},"GET \u002Fhealth\u002Fready\n→ 503 Service Unavailable\n{\n  \"status\": \"degraded\",\n  \"checks\": {\n    \"database\": { \"status\": \"ok\", \"latency_ms\": 3 },\n    \"redis\": { \"status\": \"fail\", \"error\": \"connection refused\" },\n    \"auth_service\": { \"status\": \"ok\", \"latency_ms\": 45 },\n    \"message_queue\": { \"status\": \"ok\", \"latency_ms\": 8 }\n  }\n}\n",[44,449,450,454,464,468,487,499,539,586,626,666,670],{"__ignoreMap":42},[47,451,452],{"class":49,"line":50},[47,453,202],{"class":53},[47,455,456,458,461],{"class":49,"line":57},[47,457,60],{"class":53},[47,459,460],{"class":63},"503",[47,462,463],{"class":53}," Service Unavailable\n",[47,465,466],{"class":49,"line":70},[47,467,215],{"class":73},[47,469,470,472,474,476,478,480,483,485],{"class":49,"line":218},[47,471,221],{"class":73},[47,473,81],{"class":80},[47,475,84],{"class":73},[47,477,87],{"class":73},[47,479,77],{"class":73},[47,481,482],{"class":92},"degraded",[47,484,84],{"class":73},[47,486,236],{"class":73},[47,488,489,491,493,495,497],{"class":49,"line":239},[47,490,221],{"class":73},[47,492,244],{"class":80},[47,494,84],{"class":73},[47,496,87],{"class":73},[47,498,251],{"class":73},[47,500,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537],{"class":49,"line":254},[47,502,257],{"class":73},[47,504,261],{"class":260},[47,506,84],{"class":73},[47,508,87],{"class":73},[47,510,268],{"class":73},[47,512,77],{"class":73},[47,514,81],{"class":63},[47,516,84],{"class":73},[47,518,87],{"class":73},[47,520,77],{"class":73},[47,522,93],{"class":92},[47,524,84],{"class":73},[47,526,285],{"class":73},[47,528,77],{"class":73},[47,530,290],{"class":63},[47,532,84],{"class":73},[47,534,87],{"class":73},[47,536,297],{"class":63},[47,538,300],{"class":73},[47,540,541,543,545,547,549,551,553,555,557,559,561,564,566,568,570,573,575,577,579,582,584],{"class":49,"line":303},[47,542,257],{"class":73},[47,544,308],{"class":260},[47,546,84],{"class":73},[47,548,87],{"class":73},[47,550,268],{"class":73},[47,552,77],{"class":73},[47,554,81],{"class":63},[47,556,84],{"class":73},[47,558,87],{"class":73},[47,560,77],{"class":73},[47,562,563],{"class":92},"fail",[47,565,84],{"class":73},[47,567,285],{"class":73},[47,569,77],{"class":73},[47,571,572],{"class":63},"error",[47,574,84],{"class":73},[47,576,87],{"class":73},[47,578,77],{"class":73},[47,580,581],{"class":92},"connection refused",[47,583,84],{"class":73},[47,585,300],{"class":73},[47,587,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624],{"class":49,"line":346},[47,589,257],{"class":73},[47,591,351],{"class":260},[47,593,84],{"class":73},[47,595,87],{"class":73},[47,597,268],{"class":73},[47,599,77],{"class":73},[47,601,81],{"class":63},[47,603,84],{"class":73},[47,605,87],{"class":73},[47,607,77],{"class":73},[47,609,93],{"class":92},[47,611,84],{"class":73},[47,613,285],{"class":73},[47,615,77],{"class":73},[47,617,290],{"class":63},[47,619,84],{"class":73},[47,621,87],{"class":73},[47,623,384],{"class":63},[47,625,300],{"class":73},[47,627,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664],{"class":49,"line":389},[47,629,257],{"class":73},[47,631,394],{"class":260},[47,633,84],{"class":73},[47,635,87],{"class":73},[47,637,268],{"class":73},[47,639,77],{"class":73},[47,641,81],{"class":63},[47,643,84],{"class":73},[47,645,87],{"class":73},[47,647,77],{"class":73},[47,649,93],{"class":92},[47,651,84],{"class":73},[47,653,285],{"class":73},[47,655,77],{"class":73},[47,657,290],{"class":63},[47,659,84],{"class":73},[47,661,87],{"class":73},[47,663,427],{"class":63},[47,665,98],{"class":73},[47,667,668],{"class":49,"line":432},[47,669,435],{"class":73},[47,671,672],{"class":49,"line":438},[47,673,441],{"class":73},[17,675,676,677,681],{},"Now your monitoring tells you not just that the service is unhealthy, but ",[678,679,680],"em",{},"why"," - and which dependency to investigate.",[12,683,685],{"id":684},"the-five-layers-of-microservices-monitoring","The Five Layers of Microservices Monitoring",[103,687,689],{"id":688},"layer-1-individual-service-health","Layer 1: Individual Service Health",[17,691,692],{},"The foundation. Each service needs its own monitor checking the deep health endpoint.",[17,694,695],{},[110,696,697],{},"What to monitor per service:",[699,700,701,707,710],"ul",{},[702,703,704,705,157],"li",{},"Deep health check endpoint (",[44,706,176],{},[702,708,709],{},"Response time baseline and degradation",[702,711,712],{},"Status code correctness (503 for degraded, not 200 with an error body)",[17,714,715],{},"If you have 12 microservices, you should have at least 12 health check monitors. This is the minimum - not the complete picture.",[103,717,719],{"id":718},"layer-2-inter-service-communication","Layer 2: Inter-Service Communication",[17,721,722],{},"Microservices talk to each other. When service A calls service B and service B is slow, service A appears slow to users - even though A is perfectly healthy.",[17,724,725],{},[110,726,727],{},"What to monitor:",[699,729,730,736,742],{},[702,731,732,735],{},[110,733,734],{},"Latency between services"," - Track the response time of internal API calls. A service that usually responds in 20ms but is now taking 800ms is about to cause cascading timeouts.",[702,737,738,741],{},[110,739,740],{},"Error rates on internal calls"," - If service A's calls to service B start returning 5xx, monitor B won't necessarily detect the issue (it might be healthy for other callers). Monitor the communication path, not just the endpoints.",[702,743,744,747],{},[110,745,746],{},"Circuit breaker state"," - If you use circuit breakers, monitor when they open. An open circuit breaker is a signal that a downstream dependency has been failing long enough to trip a threshold.",[103,749,751],{"id":750},"layer-3-data-stores-and-infrastructure","Layer 3: Data Stores and Infrastructure",[17,753,754],{},"Every microservice depends on shared infrastructure - databases, caches, message queues, object storage. These are the single points of failure that your distributed architecture was supposed to eliminate but didn't.",[17,756,757],{},[110,758,727],{},[699,760,761,767,773],{},[702,762,763,766],{},[110,764,765],{},"Database connectivity per service"," - Each service should report its database connection status in its health check. A shared database that's reachable from service A but not service B usually means connection pool exhaustion on B.",[702,768,769,772],{},[110,770,771],{},"Cache hit rates"," - A sudden drop in cache hit rates means your cache was evicted or restarted. Response times across multiple services will spike simultaneously.",[702,774,775,778],{},[110,776,777],{},"Message queue depth"," - A growing queue means consumers aren't keeping up. This eventually causes backpressure, timeouts, and dropped messages.",[103,780,782],{"id":781},"layer-4-api-gateway-and-ingress","Layer 4: API Gateway and Ingress",[17,784,785],{},"The API gateway is the single point through which all external traffic flows. If it's misconfigured, rate-limiting incorrectly, or dropping connections, every service behind it is affected.",[17,787,788],{},[110,789,727],{},[699,791,792,798,804],{},[702,793,794,797],{},[110,795,796],{},"Gateway health endpoint"," - Is the gateway itself running?",[702,799,800,803],{},[110,801,802],{},"End-to-end request path"," - Send a request through the gateway to a backend service and measure the total round-trip time. This catches gateway-specific latency that per-service monitors miss.",[702,805,806,809],{},[110,807,808],{},"SSL termination"," - If the gateway handles TLS, monitor the certificate separately. An expired cert on the gateway takes down every service.",[103,811,813],{"id":812},"layer-5-background-processes-and-workers","Layer 5: Background Processes and Workers",[17,815,816],{},"Microservices architectures rely heavily on asynchronous processing - event consumers, saga orchestrators, data sync jobs, and scheduled tasks. These run outside the request\u002Fresponse cycle and fail silently.",[17,818,819],{},[110,820,821],{},"What to monitor with heartbeats:",[699,823,824,827,830,833],{},[702,825,826],{},"Event consumers that process messages from queues",[702,828,829],{},"Saga coordinators that manage multi-service transactions",[702,831,832],{},"Scheduled reconciliation jobs that verify data consistency",[702,834,835],{},"Worker processes that handle long-running computations",[17,837,838],{},"Heartbeat monitoring is the only way to detect failures in processes that don't expose HTTP endpoints. If your Kafka consumer stops processing events, no health check will catch it - but a missing heartbeat will.",[12,840,842],{"id":841},"catching-cascading-failures","Catching Cascading Failures",[17,844,845],{},"The defining failure mode of microservices is the cascade: one service slows down, causing upstream services to accumulate waiting threads, exhaust connection pools, and eventually fail themselves.",[103,847,849],{"id":848},"how-cascades-happen","How Cascades Happen",[851,852,853,859,865,871],"ol",{},[702,854,855,858],{},[110,856,857],{},"Service C"," has a slow database query (response time goes from 50ms to 5s)",[702,860,861,864],{},[110,862,863],{},"Service B"," calls C and starts timing out. B's thread pool fills with waiting requests.",[702,866,867,870],{},[110,868,869],{},"Service A"," calls B and gets timeouts. A's health check still passes (it's alive), but it can't serve any user requests.",[702,872,873,876],{},[110,874,875],{},"Users"," see errors, but your monitoring shows all services as \"healthy\" because every shallow health check passes.",[103,878,880],{"id":879},"how-to-detect-them","How to Detect Them",[699,882,883,889,899],{},[702,884,885,888],{},[110,886,887],{},"Monitor response times, not just availability."," A service that responds in 5 seconds is functionally down for most use cases. Set response time thresholds that match your SLAs.",[702,890,891,894,895,898],{},[110,892,893],{},"Monitor from the outside in."," Check the user-facing endpoint that traverses multiple services. If ",[44,896,897],{},"GET \u002Fapi\u002Fdashboard"," normally takes 300ms and suddenly takes 8 seconds, something in the chain is broken - even if every individual service health check passes.",[702,900,901,904],{},[110,902,903],{},"Use multi-region checks."," Cascading failures often affect specific regions first. Multi-region monitoring catches regional degradation before it spreads.",[12,906,908],{"id":907},"structuring-monitors-for-microservices","Structuring Monitors for Microservices",[103,910,912],{"id":911},"organize-by-service-domain","Organize by Service Domain",[121,914,915,928],{},[124,916,917],{},[127,918,919,922,925],{},[130,920,921],{},"Monitor Group",[130,923,924],{},"What's Checked",[130,926,927],{},"Interval",[143,929,930,949,966,983,998,1010],{},[127,931,932,937,946],{},[148,933,934],{},[110,935,936],{},"User Service",[148,938,939,941,942,945],{},[44,940,176],{},", ",[44,943,944],{},"\u002Fapi\u002Fusers"," health",[148,947,948],{},"1 min",[127,950,951,956,963],{},[148,952,953],{},[110,954,955],{},"Billing Service",[148,957,958,941,960,945],{},[44,959,176],{},[44,961,962],{},"\u002Fapi\u002Finvoices",[148,964,965],{},"30 sec",[127,967,968,973,981],{},[148,969,970],{},[110,971,972],{},"Auth Service",[148,974,975,941,977,980],{},[44,976,176],{},[44,978,979],{},"\u002Fauth\u002Ftoken"," flow",[148,982,965],{},[127,984,985,990,995],{},[148,986,987],{},[110,988,989],{},"Notification Service",[148,991,992,994],{},[44,993,176],{},", email worker heartbeat",[148,996,997],{},"1 min + heartbeat",[127,999,1000,1005,1008],{},[148,1001,1002],{},[110,1003,1004],{},"API Gateway",[148,1006,1007],{},"Gateway health, end-to-end request",[148,1009,965],{},[127,1011,1012,1017,1020],{},[148,1013,1014],{},[110,1015,1016],{},"Infrastructure",[148,1018,1019],{},"Database, Redis, message queue endpoints",[148,1021,1022],{},"2 min",[103,1024,1026],{"id":1025},"create-end-to-end-synthetic-checks","Create End-to-End Synthetic Checks",[17,1028,1029],{},"Individual service monitors tell you each piece is running. End-to-end checks tell you the whole system works together.",[17,1031,1032],{},"Create monitors that exercise a real user flow:",[851,1034,1035,1038,1041],{},[702,1036,1037],{},"Authenticate via the auth service",[702,1039,1040],{},"Create a resource via the core API",[702,1042,1043],{},"Verify the resource was persisted",[17,1045,1046],{},"If this synthetic transaction fails, something in the chain is broken - and you'll catch it even when individual health checks pass.",[103,1048,1050],{"id":1049},"set-up-dependency-aware-alerting","Set Up Dependency-Aware Alerting",[17,1052,1053],{},"When a shared database goes down, you don't want 12 separate alerts from 12 services. Group your monitors so that infrastructure failures produce a single, clear alert rather than a flood of symptoms.",[17,1055,1056],{},"In Vantaj, use projects to group related monitors. When the database monitor fires, you can quickly check which dependent services are also affected - without wading through a dozen redundant notifications.",[12,1058,1060],{"id":1059},"common-microservices-monitoring-mistakes","Common Microservices Monitoring Mistakes",[103,1062,1064],{"id":1063},"relying-on-kubernetes-liveness-probes-as-monitoring","Relying on Kubernetes Liveness Probes as Monitoring",[17,1066,1067],{},"Kubernetes probes are designed for container orchestration - restarting unhealthy pods and removing them from load balancing. They're not designed to tell your team that a service is degraded. K8s probes run inside the cluster; external monitoring checks from the user's perspective. You need both.",[103,1069,1071],{"id":1070},"monitoring-services-but-not-the-connections-between-them","Monitoring Services but Not the Connections Between Them",[17,1073,1074],{},"Twenty green health checks don't mean your system works if the network policies between services are blocking traffic. Monitor the paths, not just the nodes.",[103,1076,1078],{"id":1077},"same-alert-policy-for-every-service","Same Alert Policy for Every Service",[17,1080,1081],{},"Your payment service going down at 2 AM warrants a page. Your internal analytics dashboard going down at 2 AM can wait until morning. Set alert severity and routing based on business impact, not just technical status.",[103,1083,1085],{"id":1084},"no-correlation-between-service-failures","No Correlation Between Service Failures",[17,1087,1088],{},"When three services fail simultaneously, your team needs to quickly identify the root cause - usually a shared dependency. If your monitoring treats each failure as independent, your incident response wastes time investigating symptoms instead of causes.",[12,1090,1092],{"id":1091},"microservices-monitoring-with-vantaj","Microservices Monitoring With Vantaj",[17,1094,1095],{},"Vantaj monitors microservices the same way it monitors everything: from the outside, from multiple regions, with consensus verification before alerting.",[17,1097,1098],{},"For microservices architectures, the key capabilities are:",[699,1100,1101,1107,1117,1123,1129,1135],{},[702,1102,1103,1106],{},[110,1104,1105],{},"HTTP monitors with custom headers and bodies"," - Authenticate with internal services, send test payloads, assert response contents",[702,1108,1109,1112,1113,1116],{},[110,1110,1111],{},"Keyword monitoring"," - Verify health check responses contain ",[44,1114,1115],{},"\"status\":\"ok\""," and don't contain error strings",[702,1118,1119,1122],{},[110,1120,1121],{},"Heartbeat monitoring"," - Catch silent failures in event consumers, workers, and background jobs",[702,1124,1125,1128],{},[110,1126,1127],{},"Project-based organization"," - Group monitors by service domain for clear ownership and targeted alerting",[702,1130,1131,1134],{},[110,1132,1133],{},"Multi-region consensus"," - Distinguish between regional network issues and actual service failures",[702,1136,1137,1140],{},[110,1138,1139],{},"Response time tracking"," - Catch slow degradation before it cascades into a full outage",[17,1142,1143],{},"Start by monitoring your most critical service's deep health check. Then work outward - add monitors for each service, heartbeats for each background worker, and end-to-end checks for your most important user flows. A complete picture doesn't require a complex setup. 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Here's how to monitor health checks, inter-service dependencies, and cascading failures across a distributed architecture.","md",null,{},true,"\u002Fblog\u002Fmonitoring-microservices-health-checks",{"title":5,"description":1180},"blog\u002Fmonitoring-microservices-health-checks","NN9SOKCTMErdQ0LQZ5DFdxRk5B3ZySA6YJbdAcpDxbI",1782222710914]