Web App Monitoring with Splunk/Jenkins

@servermaster

Hi. I can setup monitoring with splunk. I have had real life job in monitoring administrator-expert. Please see my profile

@AZTURK1

Hi there, I see you're running Linux web apps behind AWS load balancers with SQL backends and some Windows services, already collecting into Splunk and running Jenkins CI/CD. The real gap is a unified monitoring layer that connects request flow health to deployment events and pushes actionable alerts into your incident process. I can build that. What I'll do: ✅ Map each public URL's request flow from AWS LB through app tier to SQL, then create Splunk searches for latency, error rate, throughput, and resource use ✅ Wire Jenkins pipeline events into the same Splunk dashboards with correlation searches so build failures and test regressions surface alongside app health ✅ Define alert thresholds tuned to your traffic patterns with ITIL-aligned escalation paths plus an RCA template and runbook in Markdown ✅ Rehearse everything in staging first and validate alert false-positive rate before touching production Skills: ✅ Splunk SPL, dashboard creation, and alert tuning ✅ Jenkins pipeline integration and event streaming ✅ AWS ALB/EC2/CloudWatch monitoring and log routing ✅ Linux and Windows Server infrastructure monitoring ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ 300+ projects delivered, 280+ five-star reviews Why me: Fast responses and I don't consider the job done until your dashboards hit the sub-3-second target and alert noise is genuinely low.

@vishal1145

Your current setup will miss cascading failures because Splunk and Jenkins are siloed — when a deployment triggers a latency spike, your team won't see the correlation until customers complain. Without unified dashboards that tie CI/CD events to runtime metrics, root-cause analysis becomes guesswork. Quick questions - are your AWS load balancers logging to CloudWatch or directly to Splunk? And what's your current mean-time-to-detect for backend SQL bottlenecks? Here is the architectural approach: - SPLUNK: Build correlation searches that join Jenkins deployment timestamps with application error spikes, then surface those patterns in sub-3s dashboards using summary indexing and accelerated data models. - JENKINS: Inject pipeline metadata (build ID, commit SHA, test pass rate) into Splunk via HTTP Event Collector so every deployment becomes a traceable event in your incident timeline. - AWS + SQL: Deploy CloudWatch metric streams for ELB 5xx rates and RDS connection pools, then normalize them into Splunk Common Information Model fields to enable cross-stack alerting with tuned thresholds that suppress noise. I've built similar observability stacks for two SaaS platforms that cut MTTR from 45 minutes to under 8. Let's do a 20-minute architecture review so I can map your exact request flows before we start building.

@kumarashish99

With holistic project management skills and a broad range of technical competencies, I understand the miscellany associated with working on your web app environment. Having been AWS-certified for over 5 years, I can ensure your Linux-based web applications behind AWS load balancers and with SQL back-ends are well-monitored in an optimized way. My proficiency in using Splunk aligns with your specific requirement of translating key health indicators into real-time actionable alerts. Integrating Jenkins pipeline events will be a breeze for me, meaning you will no longer have to switch between systems to stay updated. Moreover, my adherence to ITIL-aligned incident workflows guarantees that nothing crucial slips through the cracks while ensuring noise is kept at a minimum to avoid false positives. Documentation, including a runbook and RCA template, will be delivered in a concise, yet comprehensive fashion using Markdown - setting up future incidents for consistent handling. To expedite progress, I would gladly accept access to your staging environment from day one so that we can readjust iteratively. Let us build an efficient monitoring layer together that empowers fast root-cause analysis and facilitates effective incident-management processes! Looking forward to discussing the details further!

@sahilcomputers39

Hi, I understand the key challenge here is not simply collecting logs, but turning your existing Splunk + Jenkins + AWS environment into an actionable monitoring and incident-response system with low alert noise and faster RCA. I have 16+ years of experience in AWS, Linux, DevOps, monitoring, Jenkins, CI/CD, security, and production infrastructure. I can map your complete application flow across AWS load balancers, Linux/Windows services and SQL backends, then build practical Splunk dashboards, searches and alerts around the metrics that actually matter. I can handle: • Splunk dashboards for latency, errors, throughput and resources • Jenkins build, test and deployment monitoring • Actionable alert rules and threshold tuning • AWS/Linux/Windows application monitoring • ITIL-aligned escalation and incident workflows • RCA templates and operational runbooks • Troubleshooting and performance optimization I’ll validate everything in staging, tune alerts to reduce false positives, and provide clear Markdown documentation. I will also provide the complete implementation/documentation document, so a screen-share walkthrough will not be required. I’m available to start immediately and can coordinate through the Freelancer calling option. We can discuss the budget later. Best regards, SaD

@ashinnd84

Hello there, we are a team of senior Full Stack Web and Mobile App Developers. Please, share the staging environment and I will develop your linux based web application. Award me to get the job done. Thanks Ashish Kumar.

@mahads31

As an experienced technology partner, I believe I am the best fit for your project of tightening end-to-end monitoring of your Linux-based web applications. My expertise and skills align perfectly with your requirements. Having previously built Splunk apps, tuned Jenkins integrations, in addition to automating monitoring on AWS, I bring a unique blend of abilities to the table that can be put into immediate use in your project. My strengths in Cloud Computing, Linux and Python give me a solid foundation to map full request flow, identify health indicators, translate them into Splunk searches, incorporate Jenkins pipeline events and create relevant and effective alert rules. Furthermore, my experience building efficient and scalable systems ensures the new dashboards will render within the desired time frame while covering a comprehensive set of metrics including latency, error rate, throughput, resource use and deployment status. Finally, my commitment to long-term client relationships means we will work together not just for this project but also for continuous enhancements and iterations ensuring your incident-management process stays fine-tuned generating fewer false positives per week after the first month. Looking forward to starting on this exciting project with you right away!

@technologiesit

With my combined expertise in Full Stack Development, AI Solutions, and Automation, I am confident I can provide you with the exceptional monitoring system you are seeking. Having completed numerous projects successfully over the past 8+ years, my deep knowledge of Python and notable experience automating-monitoring specifically on AWS positions me well for this task. I can map the intricate request flow of every public-facing URL, identify significant health indicators, and proficiently translate them into coherent Splunk searches, intuitive dashboards, and effective alert-rules. Moreover, I can seamlessly integrate Jenkins pipeline events with Splunk to ensure a comprehensive monitoring system that's easy to navigate - in line with your specific needs. Beyond this, my commitment to delivering clean code that renders quickly—under 3 seconds in this case—coupled with a business-first approach put me laudably on track in meeting your project requirements. As an added bonus, you're never left stranded after we're done—I'm renowned for providing prompt long-term support even after handover. With all things considered, I'm thrilled at the prospect of tackling this project head-on. Let's build something incredible together!

@Zaiyan

I can help map the full request flow of your web applications and set up the necessary Splunk searches and dashboards. My first step will be to analyze your existing log data to identify key health indicators and define alert thresholds that minimize noise. Based in Toronto, I work efficiently and am readily available for any questions or adjustments needed throughout the project.

@MuhammadAsad108

✔ I deliver 100% work — 99.9% is not for me. ✔ Monitoring & Observability Workflow AWS Load Balancer ⟶⟶ Linux/Windows Services ⟶⟶ SQL Backends ⟶⟶ Splunk Data Mapping ⟶⟶ Dashboards & Alerts ⟶⟶ Jenkins Integration ⟶⟶ Incident/RCA Workflow Key Highlights ✔ End-to-end monitoring — map request flows, dependencies, latency, errors, throughput, and infrastructure health. ✔ Splunk dashboards — optimized searches and dashboards for fast, actionable visibility. ✔ Intelligent alerting — carefully tuned thresholds, correlation, suppression, and escalation to minimize alert fatigue. ✔ Jenkins integration — surface build failures, test regressions, deployments, and pipeline status directly in Splunk. ✔ AWS monitoring — correlate load balancer and application behavior with backend and infrastructure events. ✔ Root-cause analysis — dashboards designed to quickly trace incidents across application, database, deployment, and infrastructure layers. ✔ ITIL workflow — practical incident escalation, response, closure, and post-incident processes. ✔ Documentation — Markdown runbook, RCA template, alert catalogue, and team walkthrough. Best Regards, Asad DevOps | AWS | Splunk Monitoring & CI/CD Automation

@alluankit01

Hi, I can build a tuned monitoring and alerting layer for your Linux/AWS web apps, SQL backends, Windows services, Splunk logs, and Jenkins CI/CD events. My approach will be to first map each public URL flow, identify key signals, then create Splunk searches, dashboards, alerts, and Jenkins pipeline visibility with clear incident workflows. I’m comfortable with: * Splunk dashboards and alerts * Linux web app monitoring * AWS load balancer metrics * SQL/backend health checks * Windows Server service monitoring * Jenkins CI/CD event tracking * Log correlation and RCA support * ITIL-style incident workflows * Python/scripting where needed Deliverables: * Request-flow monitoring map * Splunk searches and dashboards * Alerts for latency, errors, throughput and resource use * Jenkins build/test/deploy status integration * Threshold and escalation rules * False-positive tuning * Incident runbook * RCA template * Markdown documentation * Team walkthrough I’ll focus on actionable alerts, fast dashboards, reduced noise, and practical root-cause visibility so your team can respond quickly and consistently. Best regards Ankit

@jaroslavcaprata

The main gap here is not log collection, but correlation: tying AWS load balancer traffic, Linux application behavior, SQL performance, Windows-hosted dependencies, and Jenkins deployments into one incident view that makes root-cause analysis fast. I would start by mapping each public request path end to end and defining the few signals that actually matter: latency, error rate, throughput, saturation, dependency health, and deployment state. From there I’d build optimized Splunk searches, summary-based dashboards where useful, and alert rules designed around sustained or correlated failures rather than one-off spikes. For Jenkins, I’d forward build, test, and deployment events into Splunk with application/environment metadata so incidents can immediately be compared against recent releases. I’d also review SPL efficiency and data-model usage to keep dashboard load times low, then tune thresholds during staging validation to reduce alert fatigue. The final handover would include escalation logic, ITIL-aligned incident flow, a concise runbook, and an RCA template in Markdown. Do your applications already use a shared correlation/request ID across the load balancer, application, and downstream service logs?

@samyak8840

Hi, I am Samyak. Having 5.2 years experience in IT industry. I worked with S&P in building 200+ splunk dashboards and 450+ alerts for apps were on AWS and database health monitoring. I created Jenkins pipelines. I can be could fit if we can connect and discuss and wanted to see the current state of architecture so able to make decisions. Let me know if we connect on meet, pls feel free to message me on chatbox, will share my resume. Thanks

@novatech2210

⚠️ IF YOU'RE NOT HAPPY YOU DON’T PAY ⚠️ I think we’re a strong fit for this monitoring overhaul. The main goal is to turn your existing Splunk/Jenkins/AWS data into a low-noise observability layer that supports fast RCA and clean incident escalation. I’d map each request path end-to-end, define latency/error/throughput/resource SLIs, then build optimized Splunk searches, dashboards, and alerts around those signals. Jenkins deployment/build events would be correlated into the same views so incidents can be tied quickly to releases. I’d also define actionable thresholds, ITIL-aligned escalation paths, and standardized runbook/RCA templates. The first thing I’d review is your current Splunk data model/index strategy and alert volume, because dashboard speed and false-positive reduction depend heavily on that foundation. Multiple 5-star reviews on DevOps, monitoring, AWS, and automation projects. I’d love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Chris

@ammarahmed20

As a seasoned software engineer and problem-solver, I am uniquely positioned to deliver on your web app monitoring requirements. With over six years of experience in developing and deploying full-stack platforms, I have built a solid reputation in the industry for my efficiency and attention to detail. Among my areas of expertise, I have extensive knowledge in AI agents creation, CI/CD implementation as well as automation systems utilizing tools similar to the ones you rely on – Splunk, Jenkins, and AWS. The culmination of this experience and skillset allows me to create a robust end-to-end infrastructure that can untangle complex threads seamlessly. Being granted staging access on day one will give us a massive advantage in terms of iteration speed – your time is valuable and we aim to not only review but also improve our approach by conforming closely to the existing ITIL-aligned framework. I understand that real-world applications differ from theoretical proposals; however, with my "production first" approach, you can be assured that any solution delivered would not just be a pie-in-the-sky idea but workable for your specific needs. The bottom line is: I don't hide behind buzzwords; I get the job done right.

@dmitrijworker82

As an experienced Python developer who specializes in building and optimizing applications, my skillset is perfectly aligned with what you need for your project. I have a deep understanding of Splunk and Jenkins, and have utilized them extensively in previous projects to implement comprehensive monitoring systems. My proficiency extends to AWS as well, which will allow us to swiftly adapt our solution to your cloud infrastructure. I am well-versed in the process of mapping out request flows, identifying key health indicators, and translating them into actionable alerts, dashboards, and searches within Splunk. This, coupled with my robust knowledge in implementing CI/CD through Jenkins will enable me to seamlessly integrate all relevant events into a single view for ease of operations.

@Ankurhardia34

Hello, I hope you’re doing well. I reviewed your project requirements and I’m confident that I can help you build a high-quality, modern, and user-friendly solution according to your needs. Web-App-Monitoring-With-Splunk I’m Ankur, a Full Stack Developer with 7+ years of experience in: • Custom Website Development • E-commerce Development • Mobile App Development • Flutter App Development • Android & iOS Applications • WordPress & PHP Development • UI/UX Design • Admin Panels & APIs I have successfully completed 500+ projects for startups, businesses, and individual clients worldwide. Why work with me? ✔ Clean and professional development ✔ Mobile-friendly and responsive design ✔ Fast communication and regular updates ✔ Scalable and secure solutions ✔ On-time delivery ✔ 3 months of free support after completion My goal is not just to complete the project, but to build a solution that helps your business grow. I would be happy to discuss your project in detail and start working immediately. Looking

@edwardlee00

Hi, I have read your request to implement an integrated monitoring layer with Splunk and Jenkins. This project is completely in my area of expertise. Proposal: · Cost: Rs. 40,000 (including dashboards, alerts, Jenkins integration, documentation and training session) · Delivery time: 3 working days (with daily reporting) · Quality: Dashboards under 3 seconds, accurate alerts (less than 2 errors per week) Technical solution: Request flow mapping, design of 4 dashboards (latency, errors, throughput, resources), Jenkins events integration, ITIL alert setup with noise reduction, complete documentation (Runbook + RCA). Delivery schedule (3 days): Day 1: Query mapping and design Day 2: Jenkins integration and alert setup Day 3: Finalization, documentation and training session Commitments: Delivery of SPL files, alert setup, Markdown documentation, training session and 3 days support. Next step: Please send access to the test environment. Please provide your contact number or email. Regards

@Anika1802

Hi! My name is Vandini, and I’m here to offer my services as an experienced DevOps/monitoring engineer. I have strong experience with AWS, Linux, Splunk, Jenkins, SQL-backed applications, monitoring, alerting, dashboards, and incident workflows. I can map your application request flows, build actionable Splunk searches/dashboards/alerts, integrate Jenkins events, tune thresholds and escalation paths, and provide clear ITIL-aligned runbooks and RCA documentation. I’d be happy to review your staging environment and existing Splunk/Jenkins setup to identify the key monitoring gaps and define the right alerting strategy. Once the scope is locked, I can start right away.