Product Owner • DevOps • Overheid dlvr.it/TT1pXK #zzp #freelance

Everybody wants to deploy, nobody wants to do: Frontend/Backend Dev Security DevOps DNS Config Copywriting Cold Calls Video Editing Lead Gen SWOT's UX/UI More Cold Calls Demos Payment infra SLA's Marketing And still show up everyday. Repeatedly. Like a psychopath.

verification finally gets the spotlight it deserves. zero disclosure receipts look like a solid lock for compliance. how do you tie the receipt generation into a typical devops workflow?

Looking to connect with others interested in: → Frontend → Backend → Full Stack → DevOps → LeetCode → AI/ML → Data Science → UI/UX → DSA → Freelancing → Startups If you're building, learning, coding, or growing in tech, let’s connect 🚀

Switching to Linux: A Practical Guide for Windows and Mac Users by Jay LaCroix is a new release on Leanpub! Linux is one of the best decisions you can make for your computer — but knowing where to start is the hard part. This guide walks you through everything: choosing a distribution, installing it, and using it confidently every day. It was written by Jay LaCroix of Learn Linux TV, for complete beginners. No prior experience required. #books #ebooks #newreleases #leanpublishing #selfpublishing #computer_programming #systems_administration #raspberry_pi #cloud_computing #computer_security #devops

⚙️ DevOps Isn’t Just Automation Behind every “successful pipeline” are real challenges, failures, alerts, culture gaps, and hard-won lessons. Explore the human side of DevOps and how teams build resilience, trust, and reliable systems. 🎟️ conference.mscc.mu #MSCC #Mauritius

Getting a DevOps job in 2026 is harder than it was two years ago. Not because there are fewer jobs. Because interviewers have become much better at spotting people who learned DevOps from courses versus people who have actually operated systems in production. The engineers getting hired are not the ones with the most certifications. They are the ones who can troubleshoot. Why are only 10% of API calls failing? Is one replica running a bad configuration? Is a memory leak affecting only a single pod? Is a downstream dependency timing out intermittently? Why did the node scale up but the pod stay Pending? Is it a taint? A resource request problem? Did Karpenter provision the wrong instance type because the NodePool constraints were too restrictive? Why did the deployment pass CI and fail in production? Missing IAM permissions. Environment variables not configured. Database migrations executed in the wrong order. These are not interview questions. These are Tuesday morning problems. Real DevOps work is not deploying applications all day. It is investigating incidents, understanding failure modes, debugging distributed systems, and making sure the same problem never happens twice. In 14 years of running production systems, one thing has stayed consistent: The engineers who get hired fastest are usually the ones who can walk into a conversation about a broken system and contribute immediately. That ability does not come from collecting certificates. It comes from building projects, breaking things, fixing them, and understanding why systems behave the way they do. If you are preparing for DevOps roles in 2026, you need to live the experience of a DevOps engineer And this is what Living Devops is all about: real Devops engineers teaching production environments. 👉My new cohorts are starting soon; check them out. P.S. 30% early bird discount till June 15. Real world Devops K8s SRE DevSecops livingdevops.com/courses/aws… Real world Devops K8s SRE DevSecops MLOps AIOps livingdevops.com/courses/28-…

DevOps Engineer • Microsoft 365 • Pensioensector dlvr.it/TT1n4g #zzp #freelance

Observabilidade Devops Cyber Infra E a galera querendo ir pra programação porque não sabe das outras áreas

AI Is Here to Stay. The Real Challenge Is Operating It Securely dlvr.it/TT2Zb1 #devops

Themes Lab — 6/14 🧪 Top-down read on where capital is rotating across 180 market themes. RS leadership setups coiling at the 21dma-structure area. LEADING THEMES (RS) • Memory — RS 92 (#1) • Semiconductor Equipment — RS 85 (#2) • Power Semiconductors — RS 85 (#3) • Foundry — RS 78 (#4) • Electronics Mfg Services — RS 83 (#5) Semis dominating the tape at 83% 3M — broad strength across Memory, Foundry, and Equipment with multiple leadership cohorts coiling together. TOP SETUPS @ 21dma-structure area • $NBIS 98 — GPU Cloud & HPC • $CLS 98 — Electronics Mfg Services • $FLEX 97 — Electronics Mfg Services • $ANET 93 — AI Servers & Hardware • $GFS 92 — Foundry • $LSCC 96 — Analog Semiconductors • $FROG 91 — DevOps & CI/CD • $ST 82 — Analog Semiconductors (trophy carry) • $TSEM 60 — Foundry (trophy carry) • $ALGM 90 — Power Semiconductors THEMES SETTING UP (full breadth) Watch the themes where the whole leadership board is coiling at the 21dma-structure area together — that's where the cleanest follow-through tends to come from: • Electronics Mfg Services — $CLS, $FLEX both setting up (2 of 4 leaders) • Foundry — $GFS, $TSEM both setting up (2 of 3 leaders) • Analog Semiconductors — $LSCC, $ST both setting up (2 of 5 leaders) TAKEAWAY Semis are the unambiguous leadership — Memory, Equipment, Foundry, and Power Semis all stacked at the top with broad breadth. EMS coiling alongside (CLS/FLEX) confirms the contract manufacturing read-through. Rotation to watch: Foundry breadth (GFS TSEM) for the cleanest follow-through. By: @TradersLab_

99% of people using ChatGPT have no idea what happens after they hit Enter. Here’s the entire process: Input Text ↓ Tokenization ↓ Prefill ↓ KV Cache ↓ Decode ↓ Output Tokens The most important concept? 💾 KV Cache. Without it, every new token would require reprocessing the entire conversation from scratch. That’s one of the key innovations that makes modern LLMs fast enough for real-time chat. Simple concept. Massive impact. @SaiyamPathak thanks for your wonderfull blog day2❤️ #AI #LLM #MachineLearning #ChatGPT #DevOps #MLOps

建议每个使用 AI 编程的人，都收藏这个113K stars开源项目： The Agency：一套现成的 AI 专家团队。 它整理了 232 个专业 Agent，覆盖前端、后端、DevOps、产品、设计、营销、安全、测试等 16 个方向。 真正有价值的地方是： 当你不知道该怎么写 Prompt、怎么拆任务、怎么让 AI 输出更专业时，可以直接找到对应角色，把它的提示词和工作流程复制到 Claude Code、Cursor、Copilot、Codex 等工具里使用。 比如： • 写代码时，让 Security Engineer 帮你检查漏洞 • 做产品时，让 Product Manager 帮你拆需求 • 上线前，让 QA Agent 帮你生成测试方案 • 做推广时，让 Marketing Agent 帮你制定策略 • 不知道怎么提问时，直接参考专业 Agent 的工作流程 它不只是一个 Prompt 仓库，更像是一份可以随时调用的 AI 岗位说明书 工作流模板库。 建议先收藏。以后遇到陌生任务，不用从零写 Prompt，先来这里找一个专业 Agent。 项目地址： github.com/msitarzewski/agen…

Senior Network DevOps Engineer • SD-WAN • Financiële Dienstverlening dlvr.it/TT1mR9 #zzp #freelance

Do you live near Armonk, NY? Want to be a Senior Implementation Consultant? Do you possess these qualifications? Senior Implementation Consultant, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US: Prepare new customers to utilize the StreamSets Platform. Implement new use cases in existing customers. Provide implementation 'blue print' for customers. Drive asset development across the team and/or organization as it relates to product adoptions and customer implementation. Drive and manage all technical aspects of the post-sales process, work in conjunction with the product, support and pre-sales team as the key technical advisor and product advocate for the products. Promote and advocate StreamSets products across the account through meetings around new products, features and best practices. Lead other PS team members in implementations. Provide guidance on implementation best practices and architecture assets. Engage other teams within StreamSets to ensure customer satisfaction and platform adoption in customers. Utilize: Big Data ecosystem, Big Data Processing, AWS Tools, Docker, Kubernetes, Programming Languages, Messaging Services, Data Integration, Cloud Data Integration, Warehouse, DevOps. Required: Master's degree or equivalent in Computer Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as Consultant or related. One (1) year of experience must include utilizing Big Data ecosystem, Big Data Processing, AWS Tools, Docker, Kubernetes, Programming Languages, Messaging Services, Data Integration, Cloud Data Integration, Warehouse, DevOps. Required skills Pre-Sales Best Practices Big Data Data Processing DevOps. $261,248 per year. Apply now, screenshot your application. Keep it for your records and so you can submit to DOJ or DOL if discriminated against. Thank you to @ChiefEngineerCE and @JobsNowPR for showing us how to find these jobs those in power never wanted us to see. Senior Implementation Consultant [REF SN148] jobs.now/jobs/492650405-seni…

A naive Dockerfile is 1.2GB, runs as root, and rebuilds from scratch thesimplifiedtech.com/blog/d… #DevOps #CICD

Chegou o #BondeDaIA! $550 dólares e mais um dia inteiro ensinando como uma pessoa Dev e DevOps tirar o máximo de proveito de ferramentas como Claude Code e o Kimchi Code! Bora assistir o vídeo e entender como participar! Compartilhe para fortalecer! <3 youtu.be/K64a6ftrdy4

حل واجبات تكليف الحوسبة DevOps تنفيذ مشاريع Docker Kubernetes شرح الخدمات المصغرة البنية السحابية إعداد تقرير بيئات التطوير النشر السحابي مشروع إنترنت الأشياء الأنظمة المدمجة المتحكمات الدقيقة Arduino ESP32 برمجة جافا أنظمة مضمنة الوقت الحقيقي واجب تكاليف الحساسات الشبكات الذكية

Perfect For : • Web3 Development • Programming & Software Development • Data Analysis & Visualization • Outlier AI Tasks • Cloud Computing & DevOps • Artificial Intelligence & Machine Learning • Cybersecurity & Ethical Hacking Labs • 5-6 hrs Battery Life

Before Docker & Kubernetes, Linux for DevOps 👇👇