Develop Telco-Grade Network Observability Platform (5G SA, Wireline, eBPF, Kafka & ClickHouse)

@sajjadtaghvaeifr

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@intelliresponse

Hello! As a highly specialized and proficient developer for over 13 years, I've worked extensively with advanced network monitoring and data engineering tools while also boasting considerable experience in telemetry extraction, manipulation, and analysis. My deep familiarity with eBPF usage and kernel tracing (C/Go languages), as well as an understanding of 5G Standalone architectures, SBA, Wireline broadband routing, PPPoE amongst others lay the required groundwork for delivering on your project demands. Most noteworthy, I have remarkable mastery over Apache Kafka and stream processing companying comprehensive knowledge of big-data analytic platforms such as ClickHouse, Snowflake or Thanos/Prometheus – which are central to your visualizations requirement. This scope includes everything from building a robust Kafka streaming bus optimized for handling millions of network events per second accurately to executing pipeline integration that exposes low-latency streaming endpoints for downstream AI/ML. My proficiency extends to Helm and grapples cloud-native infrastructure automation on various cloud platforms. As such, I am confident not only in my ability to meet your network observability project needs but exceed them by crafting a Telco-Grade platform incorporating all your specified requirements. Reach out today!

@topcreator100

Hi there, I’ve reviewed your Telco-Grade Network Observability Platform and I’m confident I can deliver a zero-blind-spot, production-grade solution. I’m interested in the project and have multiple years of experience with eBPF, Kafka, ClickHouse, and telecom telemetry pipelines. My approach includes deploying cloud-native eBPF probes via Helm/Terraform, with kprobes/uprobes tuned to keep CPU overhead under 1.5% while enabling 24/7 HA and automated self-healing. I will build a high-throughput protocol decoding engine for GTP-U, PFCP, HTTP/2, SBA, PPPoE, DHCP, and route data into a Kafka XDR stream with a ClickHouse data lake, plus a streaming AI/ML layer for anomaly detection and dashboards in Grafana/OpenSearch. Next steps: I propose a 2-3 week discovery and pilot sprint to validate the core ingestion, decoding, and visualization stack, followed by a phased rollout aligned to your production windows. If you’re aligned, I can draft a detailed sprint plan with milestones and a risk log within 5 business days. Best regards,

@Muhammadzeesha59

Hello Sir/ Mam I have checked Requirements As a seasoned developer with a wealth of Experience in Web Development I'm confident I can bring your virtual reality project to life. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !

@Feriver

Hello, I understand you are building a production-grade, zero-blind-spot telco observability platform covering 5G SA and wireline infrastructure, leveraging eBPF-based instrumentation and high-throughput streaming with Kafka and ClickHouse for real-time and historical analytics. I will design and implement a cloud-native observability stack with eBPF agents for kernel-level tracing (kprobes/uprobes), deployed via Helm/Terraform across Kubernetes and OpenShift. The pipeline will ingest and decode telecom protocols (GTP-U, PFCP, HTTP/2 SBA, PPPoE, DHCP) into structured XDRs, streamed through a high-throughput Apache Kafka backbone into ClickHouse or Iceberg for scalable analytics. I will also integrate stream processing using Flink/ksqlDB for real-time anomaly detection and latency/burst detection. On top of this, I will deliver AI-ready feature pipelines exposed via Kafka/gRPC, plus Grafana/OpenSearch dashboards translating raw telemetry into SLA, QoS, and customer experience KPIs. The system will be designed for HA, multi-tenant RBAC, and ultra-low overhead (<1.5% CPU), ensuring carrier-grade reliability and scalability. I am ready to align this architecture with your existing telco environment and begin implementation immediately. Thanks, Asif

@rosscarter1011

Hi, one important question first: are you expecting full packet-level observability at sustained production scale, or mainly flow/XDR-level visibility with selective deep inspection paths? The reason I ask is because the architecture changes significantly once you target sustained multi-million event ingestion with strict CPU ceilings under telco-grade workloads. What stood out to me immediately is that you’re approaching this correctly from an observability-first perspective instead of relying on traditional sidecar-heavy monitoring, which is exactly where eBPF + Kafka + ClickHouse becomes powerful if designed carefully. For a system like this, I’d focus heavily on: * Kernel-safe eBPF tracing with minimal verifier friction * Efficient ring-buffer/event batching to stay below overhead targets * Strong schema design for high-ingestion XDR storage * Stream partitioning strategy early to avoid Kafka bottlenecks later * RBAC and operational dashboards separated cleanly from executive reporting I’ve worked with high-throughput distributed systems, Kubernetes infrastructure, streaming pipelines, and observability-focused architectures where performance, resilience, and low operational overhead were critical. If you already have preferred deployment targets (bare metal vs cloud vs hybrid), that would help define the ingestion/storage topology much more accurately.

@BarryCrouch

Hi, eBPF at 1.5% CPU overhead while decoding GTP-U and PFCP at millions of events per second isn't a configuration—it's a kernel-level balancing act between ring buffer size, map efficiency, and verifier constraints. First, I'll write eBPF probes (C + libbpf) targeting GTP-U, PFCP, and PPPoE packet paths, then deploy them via Helm with per-pod CPU throttling to stay under your 1.5% limit across OpenShift and vanilla K8s. Second, I'll build a Kafka ingestion tier with exactly-once semantics and a ClickHouse schema optimized for time-series XDRs (partitioned by network slice ID and hour, using aggregating merge trees for p99 latency queries). Third, I'll expose streaming endpoints via gRPC from ClickHouse to feed your ML anomaly detectors, plus basic ksqlDB rules for micro-burst detection before Kafka even lands the data. eBPF instrumentation, telco protocol decoding (5G SA + wireline), and Kafka-to-ClickHouse pipelines are what I do daily. Expect production-grade observability with zero packet drop at line rate. Happy to ship Grafana dashboards that translate GTP packet drops into SLA impact without hiding raw metrics. Plus, I'll include a verifier log dump and load test report proving each eBPF probe stays under your CPU ceiling.

@toriquldev123

Hello dear, Greetings from MD. Toriqul Islam! We are a dedicated Web Design & Development team with over 10+ years of industry experience. I’m Engineer Toriqul Islam, an experienced Computer Science & Engineering graduate from RUET. We specialize in building modern, scalable, and user-friendly digital solutions tailored to business needs. What I Offer We help businesses grow online by delivering: • Clean, modern, and responsive website designs • High-performance and scalable web applications • User-focused UI/UX for better engagement and conversion My Technical Expertise We work across a wide range of technologies, including: • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Angular, React • Backend: Node.js, PHP, Laravel, .NET, CodeIgniter, Ruby on Rails, Python • CMS & Platforms: WordPress • Database: MySQL, MongoDB • Mobile Development: React Native, Flutter, and more Why choose me? ✔️ Clean, optimized, and well-documented code ✔️ Reusable and scalable components ✔️ On-time delivery with complete requirement fulfillment We are confident in our ability to turn your ideas into a powerful digital product. Let’s discuss your project and make it a success. Looking forward to working with you! Best Regards, Md. Toriqul Islam

@extreamcode

Hi, With over 15 years of experience as a Full-Stack, AI, Network, and Systems Engineer, I am confident that I can deliver an exceptional outcome for your complex project. My expertise in kernel tracing using eBPF, C/Go, Linux kernel verifier alongside my thorough understanding of 3GPP 5G Standalone architectures and telecom networks such as SBA and Wireline broadband routing considerably positions me to handle the infrastructure, probe deployment and protocol decoding aspects of your project. Additionally, I possess advanced proficiencies in data engineering with Apache Kafka and ClickHouse - which are skills fundamental for constructing your high-capacity pipeline and optimizing your data lake serialization strategy. Furthermore, my hands-on experience with Kubernetes, OpenShift, Helm alongside cloud-native infrastructure automation will enable a proficient implementation of the necessary IaC to deploy eBPF collection agents across multi-tenant Kubernetes and meet your requirement for high availability design for a 24/7 operational environment. Having developed a wide range of large-scale applications, automated tools and secure technical solutions throughout my career - especially those requiring deep data analytics and the implementation of AI models, I will be able to incorporate low-latency streaming endpoints which format raw network metrics into structured data streams for downstream AI/ML anomaly detection models as we Thanks!

@NayaPakistan

Hello,\n\nLet's build your Network Observability Platform.\n\nI can develop a robust solution using eBPF and cloud-native technologies for comprehensive network monitoring.\n\nMy approach will involve instrumenting infrastructure, building a high-capacity data pipeline, and integrating AI/ML capabilities for advanced analytics.\n\nRegards, Muhammad Azeem

@SkillCrafts

Your requirement for a zero-blind-spot telco-grade network observability platform leveraging eBPF and a cloud-native architecture strongly resonates with my experience building high-throughput telemetry pipelines. I've successfully designed and implemented similar eBPF-based instrumentation for real-time network monitoring in demanding environments, ensuring comprehensive data capture without the overhead of traditional agents. My approach will focus on a Kubernetes-native deployment utilizing Helm for managing the eBPF probe lifecycle and IaC for infrastructure provisioning. We'll ingest XDR streams via Kafka, optimized for low latency and high volume, before efficiently storing and querying the data in ClickHouse. This architecture ensures scalability, resilience, and fast analytical query performance, directly addressing your need for an AI-ready data lake. Given the complexity of 5G SA and wireline integration, have you considered specific eBPF programs for decoding proprietary signaling protocols like GTP-U, or are you envisioning a more generalized approach initially? I'm eager to discuss how we can tailor this solution to your exact needs and begin building a truly robust observability platform.

@riogushiken1114

Hi there, I reviewed your project carefully, and I can help you build a production-grade, zero-blind-spot telco network observability platform for 4G/5G SA and wireline telemetry. Why I’m a good fit: • Strong experience with eBPF/kernel tracing using C/Go, kprobes/uprobes, maps, ring buffers, and safe low-overhead Linux instrumentation • Hands-on background with Kafka-scale telemetry pipelines, ClickHouse time-series analytics, Kubernetes/OpenShift, Helm, Terraform, and self-healing agent deployments • Telecom-focused understanding of GTP-U, PFCP, HTTP/2 SBA, PPPoE, DHCP, QoS, BNG/BRAS, SLA dashboards, and anomaly detection workflows I can design the cloud-native probe layer, high-throughput decoding pipeline, AI-ready Kafka/gRPC streams, Flink/ksqlDB rules, and Grafana/OpenSearch RBAC dashboards with clean, maintainable architecture. I can start immediately and would be happy to discuss the technical roadmap in more detail. Best regards,

@emilesd617

Hi, I am a full-stack developer with 8 years of rich experience in software development, with a background in Kubernetes, eBPF-based observability, Kafka streaming systems, ClickHouse, Linux kernel instrumentation, Python, Go, cloud-native infrastructure, telecom network analytics, and large-scale monitoring platforms. I can help architect and develop your telco-grade observability platform by deploying lightweight eBPF instrumentation across Kubernetes/OpenShift environments, building high-throughput Kafka ingestion pipelines, decoding telecom protocols into structured XDR streams, integrating Flink/ksqlDB anomaly detection workflows, and delivering Grafana/OpenSearch dashboards with scalable RBAC and AI-ready telemetry pipelines. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@steveng96

Hello, I am available now. I have read your project description carefully and I understand what you want. 300% Confidence!!! I have 7+ years of experience in Python, Kubernetes. I have completed similar projects. Please contact me. Best regards, Steven

@ivicab6

Hi, I've led projects integrating eBPF for network telemetry and building high-capacity data pipelines using Apache Kafka and ClickHouse. My experience with Kubernetes and cloud-native infrastructure automation aligns with your requirements for IaC and probe deployment. Let’s start with a small trial to ensure our fit before diving into the full scope. Best Regards, Ivica

@NEHABHAT92

As a seasoned IT professional with a specialization in web and mobile app development, I aim to leverage my diverse skillset in order to build a customized Telco-Grade Network Observability Platform that perfectly aligns with your goals. Even though my background isn't entirely in line with telecommunications, the nature of the field necessitates individuals who are adaptable and proficient in handling a broad range of tasks - exactly what I bring to the table. My nine-plus years of experience have honed my abilities in eBPF, Kernel Tracing, cloud-native infrastructure automation i.e utilizing Kubernetes and OpenShift as well as the core of any big data platform; Apache Kafka. These skills are crucial for achieving your vision of low latency data processing and an automated self-healing operational environment for seamless resource distribution. In addition, my forte lies in turning core technical parameters into actionable visuals. My capabilities in website design and proficiency in SEO services will prove invaluable while designing your Grafana or OpenSearch executive dashboards; transforming highly technical metrics into intuitive measures for business performance reflection. This also extends to my expertise in Apache Iceberg/Snowflake optimisation for analytically-driven tasks that fall under scenario three (AI/ML Pipeline Integration). Working with me offers you complete support to move your ideas to reality while sticking to even the most stringen

@jeremiasg17

Hello! I've built a similar observability platform using eBPF for high-performance network telemetry. The implementation significantly improved our monitoring efficiency and reduced overhead to under 1.5% on host systems. I’d love to share the details of that project in our chat. For your platform, I would focus on deploying cloud-native eBPF agents across Kubernetes, ensuring seamless integration with the Linux kernel for real-time telemetry. My approach includes setting up a robust Kafka streaming tier for high-capacity data ingestion and building a scalable data lake. What specific protocols are you most concerned with for your decoding engine? If you're open, I can share my previous work, and we can explore how it might align with your needs.

@mussaibb7

I'm excited to take on the challenge of building a Telco-Grade Network Observability Platform. Based on our conversation, I understand that the primary value lies in delivering a clean, maintainable implementation that works under real usage, not just a quick proof of concept. My expertise in Python, Linux, and Cisco, combined with my experience in Machine Learning (ML), Network Administration, and Network Engineering, makes me a strong fit for this project. My previous work on Jarvis AI - Personal Automation Assistant demonstrates my ability to deliver complex, scalable solutions. To ensure successful delivery, I propose a clear execution plan: - Develop a robust backend structure using Python and FastAPI. - Establish clean integrations with Kafka and ClickHouse. - Implement reliable deployment, error handling, and maintainability. - Provide environment setup instructions and a README for seamless onboarding. Before starting, I'd like to clarify the scope, first milestone, and most important technical constraint to ensure we're aligned on the project's requirements. Do you already have the API contracts and environment ready, or should I define that structure first?

@matheussilva114

Hi there, THE CHALLENGE is to seamlessly integrate eBPF technology into a complex telecom network environment while ensuring high availability and minimal CPU overhead. This project requires in-depth knowledge of kernel tracing, 5G SA architectures, and advanced data engineering skills to handle massive telemetry streams efficiently. I will tackle this by carefully designing the infrastructure deployment, optimizing protocol decoding, and implementing AI-driven anomaly detection to ensure the observability platform meets telco-grade standards. Regards, Matheus.