{"id":4733,"date":"2026-03-13T21:22:57","date_gmt":"2026-03-13T15:52:57","guid":{"rendered":"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/"},"modified":"2026-03-13T21:22:57","modified_gmt":"2026-03-13T15:52:57","slug":"top-devops-best-practices-for-faster-software-delivery","status":"publish","type":"post","link":"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/","title":{"rendered":"Top DevOps Best Practices for Faster Software Delivery"},"content":{"rendered":"<p>Incident ID: #8829-OMEGA. Status: Resolved (Barely). Subject: The day the load balancer decided to become a random number generator.<\/p>\n<p><strong>Incident Summary<\/strong><br \/>\n*   <strong>Duration:<\/strong> 02:04 UTC to 06:12 UTC (4 hours, 8 minutes).<br \/>\n*   <strong>Impact:<\/strong> Total loss of ingress traffic for the <code>api.production.internal<\/code> and <code>checkout.production.internal<\/code> zones. Estimated revenue loss: $2.1M.<br \/>\n*   <strong>Root Cause:<\/strong> A &#8220;minor&#8221; update to the Terraform-managed Nginx Ingress Controller configuration that introduced a malformed <code>proxy_buffer_size<\/code> value, coupled with an unpatched CVE-2023-44487 (HTTP\/2 Rapid Reset) vulnerability that was triggered by the resulting retry storm.<br \/>\n*   <strong>Versions Involved:<\/strong> Kubernetes v1.29.2, Terraform v1.7.4, Prometheus v2.45, Nginx Ingress Controller v1.9.4.<br \/>\n*   <strong>Error Codes:<\/strong> HTTP 502 (Bad Gateway), 503 (Service Unavailable), 504 (Gateway Timeout), and a whole lot of <code>ERR_CONNECTION_RESET<\/code>.<\/p>\n<hr \/>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69d4d0549845f\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69d4d0549845f\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#1_The_%E2%80%9CMinor%E2%80%9D_Change_That_Wasnt\" >1. The &#8220;Minor&#8221; Change That Wasn&#8217;t<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#2_Cascading_Failures_and_the_Myth_of_Isolation\" >2. Cascading Failures and the Myth of Isolation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#3_The_Distributed_Monolith_A_Suicide_Pact_in_YAML\" >3. The Distributed Monolith: A Suicide Pact in YAML<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#4_Shift_Left_Fall_Flat_The_CVE_We_Ignored\" >4. Shift Left, Fall Flat: The CVE We Ignored<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#5_Observability_is_Not_a_Dashboard_Its_a_Crime_Scene\" >5. Observability is Not a Dashboard, It\u2019s a Crime Scene<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#6_The_Remediation_Plan_Fixing_the_Culture_Not_Just_the_Code\" >6. The Remediation Plan: Fixing the Culture, Not Just the Code<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#Phase_1_Immediate_Technical_Debt_Liquidation\" >Phase 1: Immediate Technical Debt Liquidation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#Phase_2_Dismantling_the_Distributed_Monolith\" >Phase 2: Dismantling the Distributed Monolith<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#Phase_3_Redefining_%E2%80%9CDevOps_Best%E2%80%9D_Practices\" >Phase 3: Redefining &#8220;DevOps Best&#8221; Practices<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/#Related_Articles\" >Related Articles<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"1_The_%E2%80%9CMinor%E2%80%9D_Change_That_Wasnt\"><\/span>1. The &#8220;Minor&#8221; Change That Wasn&#8217;t<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>It started at 02:00 UTC. I was finally hitting the deep sleep phase of my night when the pager started vibrating against the nightstand like a caffeinated hornet. Some &#8220;DevOps Architect&#8221; (a title that usually means &#8220;I write YAML but don&#8217;t know how a kernel works&#8221;) decided that 2:00 AM on a Tuesday was the perfect time to optimize our ingress buffers.<\/p>\n<p>The change was pushed via Terraform v1.7.4. The plan looked &#8220;clean&#8221; to the reviewer, probably because they were looking at it through bleary eyes or just didn&#8217;t care. Here\u2019s what the <code>terraform plan<\/code> output looked like before the world ended:<\/p>\n<pre class=\"codehilite\"><code class=\"language-hcl\"># module.ingress_controller.kubernetes_config_map.nginx_config will be updated in-place\n  ~ resource &quot;kubernetes_config_map&quot; &quot;nginx_config&quot; {\n        id = &quot;ingress-nginx\/ingress-nginx-controller&quot;\n      ~ data = {\n          &quot;proxy-body-size&quot;         = &quot;20m&quot;\n          &quot;proxy-buffer-size&quot;       = &quot;128k&quot; # Changed from 8k\n          &quot;proxy-buffers-number&quot;    = &quot;4&quot;\n          &quot;upstream-keepalive-timeout&quot; = &quot;60s&quot;\n        }\n    }\n<\/code><\/pre>\n<p>The logic was that we were seeing some &#8220;Header too large&#8221; errors on a few edge cases. The &#8220;devops best&#8221; practice here, according to the internal wiki, was to increase the buffer size. But they didn&#8217;t just increase it; they set it to a value that exceeded the <code>proxy_busy_buffers_size<\/code> without updating the latter. Nginx, being the stubborn piece of C code that it is, didn&#8217;t complain during the reload. It just started dropping packets like they were hot coals.<\/p>\n<p>Then the pager went off.<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ kubectl get pods -n ingress-nginx\nNAME                                       READY   STATUS             RESTARTS   AGE\ningress-nginx-controller-7f8d9b6c5-2wzq8   0\/1     CrashLoopBackOff   5          4m\ningress-nginx-controller-7f8d9b6c5-4kml2   0\/1     Error              5          4m\ningress-nginx-controller-7f8d9b6c5-9p0rs   1\/1     Running            0          4m\n<\/code><\/pre>\n<p>One pod stayed &#8220;Running&#8221; but was essentially a black hole. The others were stuck in a restart loop because the liveness probe was hitting a 502. We were effectively dark.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_Cascading_Failures_and_the_Myth_of_Isolation\"><\/span>2. Cascading Failures and the Myth of Isolation<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>By 02:15 UTC, the ingress failure had triggered a massive retry storm. Because our frontend services (running on Kubernetes v1.29.2) didn&#8217;t have proper exponential backoff implemented in their client-side logic, they began hammering the ingress endpoints.<\/p>\n<p>This is where the theory of &#8220;microservices&#8221; falls apart and reveals the &#8220;distributed monolith&#8221; we\u2019ve actually built. Our <code>checkout-service<\/code> depends on the <code>inventory-service<\/code>, which depends on the <code>pricing-service<\/code>, which depends on a legacy <code>oracle-db-connector<\/code> that someone wrote in 2014 and we\u2019re all too scared to touch.<\/p>\n<p>When the ingress started failing, the <code>checkout-service<\/code> didn&#8217;t just fail gracefully. It held onto its database connections while waiting for the <code>inventory-service<\/code> to respond. The <code>inventory-service<\/code> was busy retrying its own calls. Within ten minutes, the connection pools were saturated.<\/p>\n<p>I ran a quick check on the logs for the <code>checkout-service<\/code>:<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ journalctl -u checkout-service.service --since &quot;02:10&quot; | grep &quot;ConnectionPoolTimeoutException&quot; | wc -l\n14502\n<\/code><\/pre>\n<p>Fourteen thousand timeouts in five minutes. The &#8220;devops best&#8221; approach of using service meshes like Istio v1.20 was supposed to prevent this with circuit breakers. But guess what? The circuit breakers were configured with &#8220;default&#8221; values that were too high to actually trip before the underlying node ran out of ephemeral ports. We weren&#8217;t isolated. We were tied together in a suicide pact.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_The_Distributed_Monolith_A_Suicide_Pact_in_YAML\"><\/span>3. The Distributed Monolith: A Suicide Pact in YAML<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>By 03:00 UTC, the entire cluster was a graveyard. I was looking at Prometheus v2.45 metrics, and the graphs looked like a heart attack. Memory usage on the nodes was spiking because of the sheer volume of buffered requests that were never going to be fulfilled.<\/p>\n<p>We talk about &#8220;decoupling,&#8221; but we\u2019ve just moved the coupling from the binary level to the network level. Every single one of our 40+ microservices was trying to talk to each other over a network that was currently being flooded by Nginx trying to figure out why its buffers were misaligned.<\/p>\n<p>I tried to scale the deployment to see if more pods would help. Spoiler: It didn&#8217;t.<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ kubectl scale deployment checkout-service --replicas=50\ndeployment.apps\/checkout-service scaled\n\n$ kubectl get pods -w\nNAME                                READY   STATUS    RESTARTS   AGE\ncheckout-service-8495f6b87c-abc12   0\/1     Pending   0          10s\ncheckout-service-8495f6b87c-def34   0\/1     Pending   0          10s\n<\/code><\/pre>\n<p>The pods stayed in <code>Pending<\/code>. Why? Because the &#8220;minor config change&#8221; had also somehow messed with the resource quotas in the namespace, or more likely, we had hit the maximum number of ENIs (Elastic Network Interfaces) on our AWS nodes. We were scaling into a brick wall. This is the reality of the &#8220;distributed monolith.&#8221; You don&#8217;t get the benefits of a monolith (simplicity, local calls), and you don&#8217;t get the benefits of microservices (isolation, independent scaling). You just get the complexity of both.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_Shift_Left_Fall_Flat_The_CVE_We_Ignored\"><\/span>4. Shift Left, Fall Flat: The CVE We Ignored<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>While we were fighting the ingress fire, something else started happening. Our security dashboard (which everyone ignores until a P0 happens) started lighting up. Because the ingress was unstable, it was vulnerable to a specific type of resource exhaustion.<\/p>\n<p>Enter CVE-2023-44487\u2014the HTTP\/2 Rapid Reset attack. We had &#8220;Shifted Left&#8221; our security by integrating scanners into the CI\/CD pipeline, but the &#8220;devops best&#8221; practice of &#8220;failing the build on high vulnerabilities&#8221; had been disabled for the ingress controller because &#8220;we need to ship features, not fix infrastructure.&#8221;<\/p>\n<p>The ingress controller (Nginx v1.9.4) was vulnerable. A botnet\u2014likely automated and scanning for exactly this kind of instability\u2014detected our flapping ingress and started a Rapid Reset attack. This wasn&#8217;t a targeted hit; it was opportunistic predation.<\/p>\n<p>The logs were a nightmare:<\/p>\n<pre class=\"codehilite\"><code class=\"language-text\">2024\/05\/14 03:22:11 [error] 45#45: *1209342 stream 13579 reset: error code 7 while processing request, client: 192.168.1.1, server: api.production.internal\n2024\/05\/14 03:22:11 [error] 45#45: *1209343 stream 13581 reset: error code 7 while processing request, client: 192.168.1.1, server: api.production.internal\n<\/code><\/pre>\n<p>The &#8220;Shift Left&#8221; philosophy failed because it was treated as a checkbox, not a culture. We had the data. We knew the version was vulnerable. But because the &#8220;devops best&#8221; practitioners were too focused on &#8220;velocity,&#8221; they ignored the technical debt. Now, that debt was being collected with 200% interest. The Rapid Reset attack was consuming 100% of the CPU on the remaining healthy ingress pods, making it impossible for us to even <code>exec<\/code> into them to debug.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"5_Observability_is_Not_a_Dashboard_Its_a_Crime_Scene\"><\/span>5. Observability is Not a Dashboard, It\u2019s a Crime Scene<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>By 04:30 UTC, the CTO was on the bridge call asking for &#8220;ETA on resolution.&#8221; I wanted to tell him the ETA was &#8220;whenever we stop pretending that YAML is a substitute for engineering,&#8221; but I just grunted and kept typing.<\/p>\n<p>Our observability stack was also failing. Prometheus was struggling to scrape targets because the network was saturated. Grafana was showing &#8220;No Data&#8221; for half the panels. This is the irony of modern SRE work: the tools you use to fix the system are the first things to break when the system actually fails.<\/p>\n<p>I had to go old school. I bypassed the dashboards and went straight to the nodes.<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ ssh node-01.prod.internal\n$ sudo tcpdump -i eth0 port 80 -c 100\ntcpdump: verbose output suppressed, use -v or -vv for full protocol decode\nlistening on eth0, link-type EN10MB (Ethernet), capture size 262144 bytes\n04:45:12.123456 IP 10.0.1.5.44322 &gt; 10.0.1.10.80: Flags [S], seq 12345678, win 64240, options [mss 1460,nop,wscale 8,nop,nop,sackOK], length 0\n04:45:12.123510 IP 10.0.1.10.80 &gt; 10.0.1.5.44322: Flags [R.], seq 0, ack 12345679, win 0, length 0\n<\/code><\/pre>\n<p>The <code>[R.]<\/code> flag. Connection reset. The ingress was refusing everything. Not because it was overloaded, but because the <code>proxy-buffer-size<\/code> mismatch had corrupted the internal state of the worker processes. Every time a request came in that required a buffer larger than the default but smaller than the &#8220;new&#8221; limit, Nginx would segfault or reset the connection.<\/p>\n<p>Here\u2019s where the theory hit the reality of a saturated disk. The Nginx pods were trying to write error logs to <code>\/var\/log\/nginx\/error.log<\/code>, but because the error rate was so high, the <code>emptyDir<\/code> volume we used for logs filled up.<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ df -h\nFilesystem      Size  Used Avail Use% Mounted on\n\/dev\/nvme0n1p1   20G   20G    0G 100% \/var\/lib\/kubelet\/pods\/...\/volumes\/kubernetes.io~empty-dir\/logs\n<\/code><\/pre>\n<p>When the disk filled up, the ingress controller couldn&#8217;t even start. It would crash immediately on startup because it couldn&#8217;t open the log file. We were in a circular dependency of failure.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"6_The_Remediation_Plan_Fixing_the_Culture_Not_Just_the_Code\"><\/span>6. The Remediation Plan: Fixing the Culture, Not Just the Code<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>We finally got the system back online at 06:12 UTC by manually reverting the ConfigMap and nuking the entire <code>ingress-nginx<\/code> namespace to force a clean slate. We had to bypass the CI\/CD pipeline because the Jenkins runner was\u2014you guessed it\u2014stuck in a <code>Pending<\/code> state because the cluster was full.<\/p>\n<p>Here is the actual remediation plan. Not the &#8220;thought leadership&#8221; version, but the one written in the blood of a 48-hour shift.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Phase_1_Immediate_Technical_Debt_Liquidation\"><\/span>Phase 1: Immediate Technical Debt Liquidation<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ol>\n<li><strong>Enforce Buffer Symmetry:<\/strong> Any change to <code>proxy-buffer-size<\/code> must be validated against <code>proxy_busy_buffers_size<\/code> and <code>proxy_buffers<\/code> at the linting stage. We are adding a custom OPA (Open Policy Agent) rule to the &#8220;devops best&#8221; pipeline to prevent this specific Terraform configuration from ever being applied again.<\/li>\n<li><strong>Patch the CVEs:<\/strong> We are moving from Nginx Ingress v1.9.4 to v1.10.1 immediately. No exceptions. If a service breaks because of the upgrade, the service is what\u2019s broken, not the upgrade.<\/li>\n<li><strong>Log Rotation and Limits:<\/strong> No more <code>emptyDir<\/code> for logs without <code>sizeLimit<\/code>. Every sidecar and ingress pod will have a strict 1GB limit on log volumes. If the logs exceed that, they get rotated or dropped. A dropped log is better than a dropped cluster.<\/li>\n<\/ol>\n<h3><span class=\"ez-toc-section\" id=\"Phase_2_Dismantling_the_Distributed_Monolith\"><\/span>Phase 2: Dismantling the Distributed Monolith<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ol>\n<li><strong>Hard Timeouts and Retries:<\/strong> Every service-to-service call must implement a strict timeout (max 2 seconds) and a maximum of 2 retries with exponential backoff. If you don&#8217;t have this, your code doesn&#8217;t go to production.<\/li>\n<li><strong>Circuit Breaker Validation:<\/strong> We are running &#8220;Chaos Wednesdays.&#8221; We will manually trip circuit breakers in the staging environment to ensure that when <code>pricing-service<\/code> goes down, <code>checkout-service<\/code> still allows users to see their cart, even if the prices are slightly stale.<\/li>\n<li><strong>Dependency Mapping:<\/strong> We need a real-time graph of service dependencies. If a &#8220;minor&#8221; change in the ingress can take down the database connector, we don&#8217;t have microservices; we have a very expensive, very slow monolith.<\/li>\n<\/ol>\n<h3><span class=\"ez-toc-section\" id=\"Phase_3_Redefining_%E2%80%9CDevOps_Best%E2%80%9D_Practices\"><\/span>Phase 3: Redefining &#8220;DevOps Best&#8221; Practices<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The term &#8220;devops best&#8221; has become a shield for mediocrity. We need to stop focusing on &#8220;velocity&#8221; and start focusing on &#8220;resilience.&#8221;<br \/>\n1.  <strong>Mandatory Post-Mortems:<\/strong> Every P0 incident requires a post-mortem where the person who pushed the change explains the failure to the entire engineering org. Not to shame them, but to ensure the &#8220;scars&#8221; are shared.<br \/>\n2.  <strong>Infrastructure as Code is Code:<\/strong> We need to treat Terraform with the same rigor as Java or Go. That means unit tests for modules, integration tests in a sandbox environment, and a &#8220;stop the line&#8221; mentality when a linting rule fails.<br \/>\n3.  <strong>Observability for Humans:<\/strong> We are deleting 50% of our Grafana dashboards. They are noise. We will focus on the &#8220;Four Golden Signals&#8221;: Latency, Traffic, Errors, and Saturation. If a dashboard doesn&#8217;t help me find a root cause in five minutes at 3:00 AM, it\u2019s garbage.<\/p>\n<p>Then the pager went off again. It was a low-priority alert for a staging environment. I silenced it, finished my fourth cup of black coffee, and started writing this. <\/p>\n<p>We didn&#8217;t just lose $2M. We lost the trust of our customers and the sanity of the SRE team. If you want to follow &#8220;devops best&#8221; practices, start by respecting the complexity of the systems you build. Stop treating your infrastructure like a playground and start treating it like the mission-critical foundation it is. <\/p>\n<p>Now, if you\u2019ll excuse me, I\u2019m going to go sleep for fourteen hours. Don&#8217;t call me unless the data center is literally on fire. And even then, check the &#8220;devops best&#8221; wiki first. It probably says to use a fire extinguisher with at least v2.1.0 of the safety pin.<\/p>\n<p><strong>Final Status:<\/strong> Incident #8829-OMEGA closed. Root cause: Hubris. Remediation: Reality.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Related_Articles\"><\/span>Related Articles<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Explore more insights and best practices:<\/p>\n<ul>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/react-native-the-ultimate-guide-to-mobile-app-development\/\">React Native The Ultimate Guide To Mobile App Development<\/a><\/li>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/kubernetes-pod-guide-definition-lifecycle-and-examples\/\">Kubernetes Pod Guide Definition Lifecycle And Examples<\/a><\/li>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/what-is-a-docker-container-a-complete-guide-for-beginners\/\">What Is A Docker Container A Complete Guide For Beginners<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Incident ID: #8829-OMEGA. Status: Resolved (Barely). Subject: The day the load balancer decided to become a random number generator. Incident Summary * Duration: 02:04 UTC to 06:12 UTC (4 hours, 8 minutes). * Impact: Total loss of ingress traffic for the api.production.internal and checkout.production.internal zones. Estimated revenue loss: $2.1M. * Root Cause: A &#8220;minor&#8221; update &#8230; <a title=\"Top DevOps Best Practices for Faster Software Delivery\" class=\"read-more\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/\" aria-label=\"Read more  on Top DevOps Best Practices for Faster Software Delivery\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4733","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Top DevOps Best Practices for Faster Software Delivery - ITSupportWale<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/itsupportwale.com\/blog\/top-devops-best-practices-for-faster-software-delivery\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top DevOps Best Practices for Faster Software Delivery - ITSupportWale\" \/>\n<meta property=\"og:description\" content=\"Incident ID: #8829-OMEGA. Status: Resolved (Barely). Subject: The day the load balancer decided to become a random number generator. Incident Summary * Duration: 02:04 UTC to 06:12 UTC (4 hours, 8 minutes). * Impact: Total loss of ingress traffic for the api.production.internal and checkout.production.internal zones. Estimated revenue loss: $2.1M. * Root Cause: A &#8220;minor&#8221; update ... 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