Lately I've been working a lot with Cisco Secure Workload, and one thing that kept slowing me down was checking network latency (SRTT) between IPs — it required opening the UI manually every single time. So I built something to fix that. Introducing SRTT Analyzer — a small internal tool that connects directly to Tetration's OpenAPI and gives you latency data the way you actually need it: 🔍 Single Query — quick check for one IP pair 📋 Bulk Query — upload a CSV and process everything at once, with auto-generated narrative summary Built with Python + Flask, runs locally, no extra infra needed. Sometimes the best tools are the ones you build for yourself 🛠️ #Python #NetworkMonitoring #CiscoSecureWorkload #Automation #SideProject

I find shell scripts way more exciting than a chatbot that lists on the standard output a flume of words only interrupted by several: Reasoning... only to deliver a stern: "You are totally right, there seems to be no reason why X prints twice, please run this dangerous command 3 times so that I can see the output. Please ?" Now we can finally develop cranky new programming languages, since The Machine will write most of the shameful thing for us... #ratm #postcloud

“Day-one” lab setup in Cisco Modeling Labs can be the slowest part of testing. Our team is building a Python + Tkinter GUI that helps you generate consistent baselines in minutes: - IPs and loopbacks - Routing protocol templates (OSPF, BGP, EIGRP, IS-IS, MPLS) - YAML export for fast import into CML 💡 Learn more in this blog by Hariharasudhan Natarajan, Senior Solutions Architect, and Sushritha H S, Network Consulting Engineer—read now: https://cs.co/6045B6v50x What would you want CML to support next? (Cisco Modeling Labs 2.10 is coming soon!) #CiscoModelingLabs #CML #NetworkEngineering #NetDevOps #Python

I typed a message in one terminal... and it appeared in another. Sounds simple, isn't it?  But understanding why it works made Networking finally make sense to me. 😊 Tried making a small TCP chat project using Python's socket library. Two terminals, two programs, messages flying between them in real time. No frameworks. No heavy libraries. Just raw sockets. The setup: 1. server.py : binds to port 9125, waits for a connection, receives and replies to messages. 2. client.py : connects to the server, sends messages, waits for replies. Here's what I learned : --> Every network connection needs an IP address and a port , just like your home address and house number. --> Networks only speak bytes , so you encode before sending and decode after receiving. --> The server blocks and waits. The client initiates. That's the client-server model. Small setup. Big fundamentals.  #Python #Networking #TCP #ContinuousLearning #LearningsomethingNew

Every HTTP request, database query, and chat message you've ever sent traveled through a socket. Most developers use them daily without ever understanding what's happening underneath. I just published a comprehensive guide to Socket Programming — from first principles to production-grade techniques: ✅ TCP vs UDP (and when to choose each) ✅ The full socket lifecycle with working Python & C code ✅ Blocking, non-blocking & epoll-based I/O ✅ TLS, security hardening & common attacks ✅ Performance tuning for 100K+ concurrent connections ✅ WebSockets, gRPC, QUIC & modern trends ✅ Cheat sheet, interview Q&As & 3 project ideas Whether you're just starting out or a seasoned engineer, there's something in here for you. Swipe through 👇 #SoftwareEngineering #Networking #Python #BackendDevelopment #SystemDesign #Programming

🚀 Day 557 of #750DaysOfCode 🚀 🔥 Solved: XOR After Range Multiplication Queries II (Hard) Today’s problem really pushed my understanding of optimization and patterns in arrays. At first glance, it looks like a simple simulation—but with constraints up to 10⁵, a brute-force approach quickly breaks down. 💡 Key Learnings: Handling range updates efficiently is crucial Observed how step-based traversal (k jumps) affects time complexity Importance of modular arithmetic in large computations XOR properties helped in deriving the final result efficiently ⚡ Challenge: Each query updates elements at intervals, making it tricky to optimize without directly iterating every time. 🧠 Takeaway: Hard problems are less about coding and more about recognizing patterns and optimizing smartly. Consistency is the real game 💯 #LeetCode #DataStructures #Algorithms #CodingJourney #ProblemSolving #Java #100DaysOfCode #KeepGrinding

Solved the Set Matrix Zeroes problem using an optimized in-place approach. Instead of using extra arrays to track rows and columns, the solution uses the first row and first column as markers to indicate which cells need to be set to zero. An additional variable is used to handle the first column separately, ensuring correctness without extra space. This approach avoids redundant memory usage and processes the matrix efficiently in two passes. Time Complexity: O(n × m) Space Complexity: O(1) Mastering in-place matrix manipulation and space optimization techniques is essential for solving advanced array and grid-based problems efficiently. #Java #DSA #ProblemSolving #Coding #SoftwareEngineering #LeetCode #Developers

In today’s networking world, Python and Ansible are transforming how engineers manage infrastructure reducing errors, saving time, and scaling operations effortlessly. Python gives you the power to control your network with logic and flexibility, while Ansible makes deployment simple, structured, and repeatable. Together, they eliminate repetitive CLI work and turn complex tasks into clean, automated workflows. We have designed a customized course content on Network Automation. Let's connect on WhatsApp for more details - https://wa.link/2s5dlx #networking #cisco #networkengineer #python #ansible #automation Deepanshu Abhijit Nitish Chirag Ravi Anisha Ankit Rinki Pooja Kumari

LLM applications built primarily around prompting tend to become harder to structure once they integrate with real tools and external systems. Tool use can be inconsistent, outputs less predictable, and application logic often ends up split between prompts and code. This module provides a practical introduction to MCP, covering how to build servers, define tools and resources, connect via MCP clients, and bring everything together in a full-stack application. https://kod.eco/4kpf3 #AI #AIAgents #SoftwareEngineering #GenAI #Python

If you’re just starting your network automation journey, there is one habit you need to build early to save your future self from a massive headache: Stop hardcoding and start templating. We’ve all been there, manually editing variables, copy-pasting configs, and inevitably changing an IP address that brings down a management interface. It’s slow, it’s error-prone, and it’s exactly what automation is supposed to fix. One of the biggest traps is writing a script that only works for one specific lab. The moment a topology changes or you move to production, the script breaks, and you're back to square one. Templating Strategy The is to separate your logic from your data. By using Jinja2 templates, you can: * Generate consistent configs for 10, 50, or 100 devices. * Keep your code clean and reusable. * Update a single variable file instead of rewriting multiple lines of config. I shared some tutorial video in my Python for Network Automation series that walks through Jinja2 fundamentals and practical project to push OSPF configurations across multiple routers. #CiscoDevNet #NetworkAutomation #Python #Scontinum #Learningisacontinum