DevOpsDays Cairo 2025
| title | author | length |
|---|---|---|
| Recap-2 | 02m | |
Recording repeats a general DevOps pep talk: claims that any developer with internet can do anything, that transformation and demand are increasing, and that… | ||
| Recap-1 | 02m | |
Eighth DevOpsDays Cairo opening remarks, organized by ITIDA/SECC, emphasizes that any developer with internet can do anything and claims the AI era is… | ||
| The Future of DevOps: AI, Security, and Next-Gen Collaboration | Mohamed Ewees | 29m |
Maps concrete AI features onto DevOps tools: shows Kubernetes AI‑aware CLI and Docker "Jordan" assistant that auto‑generate manifests and Dockerfiles, uses… | ||
| Beyond MLOps | Mohamed Elkhateb | 25m |
Giza Systems reports implementing RAG on multiple mega-projects (60–70% government customers) by combining retrieval-augmented generation with vector databases… | ||
| Synergy Between AI, Agile & DevOps | Dr. Hasan Yasar | 29m |
55 talks across four tracks distill into concrete takeaways: demos show Microsoft Copilot and an AI Foundry integrated with Jira and Kubernetes to run agent… | ||
| Hands-on Practice | Angham Abdelhalim | 22m |
Live demo of Amazon Q shows a generative AI assistant directly querying logs and configs (integrates with CloudWatch/CloudTrail, EC2 and RDS) to surface root… | ||
| Deploy Like a Startup, Scale Like an Enterprise | George Maximus | 06m |
Claim: implement infrastructure-as-code and automated CI/CD so teams ship in days not weeks, maintain 95% uptime, and cut deployment lead time from months to… | ||
| AI-powered Code Review | Ibrahim Mostafa, Shehab Ahmed | 26m |
Claim: an LLM-driven code‑review system that collects formal rules from security, architecture and team leads into a middleware rules layer, runs reviews… | ||
| Hands-on Practice | Mariam El-Sobky | 17m |
Practical checklist for securing AI systems that names concrete threats and fixes: shows how adversarial attacks manipulate training data or model outputs… | ||
| What's Next in Platform Engineering | Marwan Bakeer, Adham Wagih | 28m |
Seven years of work since 2019 moves from one-off CI/CD pipelines to a unified internal developer platform that enforces a golden path and self-service across… | ||
| Bridging the DevOps Skills Gap: A Collaborative Framework for Egypt's Universities with ITIDA | Nissreen El-Saber | 07m |
Proposes a concrete three‑pillar framework: curriculum modernization (update CS courses and adopt project/problem‑based learning), industry–academia… | ||
| Unlocking the Future: GenAI, DevOps, and Fintech Innovation | Ahmed Macky | 38m |
Claims that GenAI agents write reliable unit tests and docs, and that integrating AI into CI/CD and monitoring yields measurable gains — experiments report 72%… | ||
| Hands-on Practice | Mohamed Elkhateb, Mohamed Esam | 25m |
Giza Systems describes a deployed RAG pipeline that uses vector database + retriever with keyword, semantic and metadata filtering to turn docs and logs into… | ||
| How to use AI to fight your DevOps transformation! | Ahmed Ameen, Abdelrahman Eltoukhy | 29m |
AI speeds CI/CD and can auto-rollback, but DORA figures show deployment frequency can jump from ~22% to ~50% while quality and reliability sometimes drop… | ||
| DevOpsDays Cairo 2025 :Abdulrahman Abouzaid Senior Software Engineer AEMS ai, Egypt | Abdulrahman Abouzaid | 25m |
Shows that production apps break when AI adds similarity search at scale: Pinterest example with ~1.5 billion images and ~1M daily uploads causes SQL lookups… | ||
| Shift Left with GitHub Copilot: Enforcing Code Quality Before the Commit | Ali Khalil | 16m |
Company workflow shifts code quality left by using GitHub Copilot plus OpenAI and Claude models to generate and review code inside the IDE, with repos… | ||
| Hands-on Practice | Ahmed Gamal | 15m |
Shows a concrete helpdesk orchestration that ties CRM data, web retrieval and a knowledge base into AI actions that create, classify and fill tickets into… | ||
| Intelligent Incident Management in DevOps | Hassan Aboulfetouh | 15m |
An AI agent sits on monitoring, alerts and logs, detects anomalies and groups false positives to triages logs so humans see fewer noisy alerts; it recommends… | ||
| AI-Driven Code Generation and Testing: Accelerating Development with GenAI | Dr. Tamer Arafa | 29m |
Demonstrates a running workflow that uses a local LLM (Ollama local LLM) plus chained agents to generate a Python function, auto-generate and run test cases… | ||
| Empowering Innovation through DevOps & AI Integration | Hossam Gaber | 27m |
Shows an end-to-end pipeline that actually ties Microsoft Fabric + Databricks + ADF to Copilot Studio and the Power Platform, ingesting on‑prem SQL, cleaning… | ||
| Accelerating DevOps with AI | Andrew Hanna, Ahmed El Kady | 26m |
Built an AI pipeline that reads repository files, commit history, logs and release notes to produce contextual AI code reviews, generate test cases and… | ||
| Hands-on Practice | Reem Said | 13m |
Demo shows Windsurf generating a Next.js e-commerce site end-to-end, producing runnable code in about 40 minutes, committing each task via commit-and-push… | ||
| Humans, AI, and Mythical Creatures: Are You a Cyborg or a Centaur? | Ramy Youssef | 13m |
Argues that AI interaction falls into two modes—centaur (human-led, machine does mechanical subtasks) and cyborg (fused prompts-as-tools)—and lists four… | ||
| AI-driven optimization of CI/CD pipelines | Mayar Sahab-Selim | 21m |
AI augments CI/CD by auto-generating pipeline models, scanning console output, triaging failures and proposing fixes that can open PRs and sometimes apply… | ||
| Leveraging Azure AI Foundry to Build Intelligent Release Agents | Basma Tamer | 16m |
Builds an end-to-end release agent using Azure AI Foundry (chooses an AI hub resource for production), connects to Application Insights via its API with a… | ||
| Hands-on Practice | Alia Khalifa, Omar Eissa | 19m |
Demo shows an end-to-end pipeline that detects failures, opens a Jira ticket, generates a resolution, runs a GitLab job to apply the fix and re-runs the… | ||
| Agentic QA vs LLM Dev: A Live AI Showdown in the DevOps Arena | Dr.Amany Shousha, Dr. Eman Hesham | 30m |
A live demo pits autonomous AI agents (Gemini, ChatGPT and a “Deep C” code generator) against human-guided development and QA inside a CI/CD pipeline. Agents… | ||
| The Cost of Speed: Rethinking "Move Fast" in DevOps | Mabrouk Mahdhi | 23m |
Argues that unbridled “move fast” breeds hidden costs: mounting technical debt and burnout, expensive third‑party licenses, security gaps, and messy quick… | ||
| Bridging Speed and Stability: DevOps in the Low-Code World | Kerollos Adel | 35m |
Claims that low code plus AI cuts delivery time by roughly 3–6x versus traditional coding, with market platforms like OutSystems, Mendix and Power Platform… | ||
| Securing DevOps using OWASP DevSecOps Tools | Ahmed Abdullah | 30m |
Walks through a concrete DevSecOps pipeline: use Threat Dragon for threat modeling, generate a CycloneDX SBOM, push it into Dependency-Track for hourly… | ||
| From Model to Production: Automating the ML Lifecycle with CI/CD | Rahul Raj Valia Veetil | 24m |
Shows a runnable CI/CD MLOps pipeline that pulls code from GitLab CI, lints Python, versions data with DVC, tracks experiments with MLflow or replaces both… | ||
| Hands-on Practice | George Fahmy, Abdalla Mohamed | 24m |
Live demo of a repo-reading DevOps agent that scans code, detects fixes and cost or ransomware risks, then generates artifacts: Dockerfile creation… | ||
| Are You Vmweary? | Scott McAllister | 15m |
Argues that many Kubernetes deployments still run on VMs out of habit, adding 20–30% performance overhead and extra software layers, and recommends evaluating… | ||
| What Did the AI Just Do?: Making LLMs Observable with Open Telemetry | Ishan Jain | 16m |
Demonstrates that a single runtime call to OpenLit instruments OpenTelemetry and captures LLM inputs and outputs, temperature and token counts without changing… | ||
| The Rise of AI in Anomaly Detection | Sally Anwar | 19m |
Claims a practical pipeline that turns raw logs into usable anomaly alerts by combining systematic data collection, feature transforms and an unsupervised AI… | ||
| Elevating DevOps with Integrating Analytics into CI/CD Pipelines | Amr Ali | 31m |
Integrated analytics ingest raw CI/CD telemetry, normalize diverse sources, and output a score dashboard that drives automated quality gates inside pipelines… | ||
| Hands-on Practice | Dr. Salwa Zaki | 24m |
Four live demos show a hybrid pipeline that ingests on‑prem SQL via Data Gateway and Azure Data Factory, runs cleaning and feature selection in Microsoft… | ||
| Opening | Andrew Clay Shafer, Rania Mohamed | 01h 23m |
Global DevOps community faces concrete tradeoffs: AI boosts individual productivity (Google quotes ~25–30% generated/accepted code) yet increases instability… | ||
| Unleashing the Power of AI for Performance Monitoring& Anomaly Detection | MennatAlla Moustafa Gaber | 12m |
Compares rule-based threshold alerts with an AI/ML monitor that learns an application baseline from historical logs and metrics, detects unusual behavior, and… | ||
| Driving Revenue Excellence with the Power of AIOps | Reham Saleh | 24m |
Claims that integrating AIOps with RevenueOps cuts downtime costs and saves engineering time, backed by numbers: $4,100 per hour loss from outages and 25% of… | ||
| Why Your DevOps Skills Are Your MLOps | Sarah Elnaggar | 14m |
Argues DevOps practices map directly to MLOps by showing concrete pipeline pieces and failures: 90% of models never reach production, a reproducible stack… | ||
| DevOps with AI Agents in Practice | George Fahmy | 24m |
A live agent prototype inspects a Git repo, creates Dockerfile, .dockerignore and docker-compose, and scaffolds a Python app plus PostgreSQL service, then runs… | ||
| nothing matches | ||