DevBrainOps
описание
The group whose goal is to find the best approaches and solve problems of #DevOps practice.
110
подписчиков
Охват к подписчикам
78,2%
ERR
Реакции к просмотрам
1,54%
56 на 32 постов
Пересылки к просмотрам
0,69%
25
Постов в день
0,1
всего 37
Где отзываются чаще
доля реакций к просмотрам- 14 окт. 2024 г.🚀Cloud gives you great power, but like any great power has its risks and dangers. The AWS these risks are associated with prices, since you can spend and find out about it in the invoice at the end of the month😲 But now a very good tool has appeared for solving issues with Finops for AWS, meet 💁🏼♂️ CUDOS https://aws.amazon.com/ru/blogs/awsmarketplace/using-cudos-dashboard-visualizations-aws-marketplace-spend-visibility-optimization/ #infrastructure #monitoring #finops #DevOps #AWSServices2,97%
- 15 нояб. 2024 г.In detail about gitops tool number one #devops #gitops https://www.youtube.com/watch?v=ox3Gx3eCTCs2,94%
- 23 окт. 2024 г.👁🗨Stateful vs Stateless Design — What's the Difference? Stateless design is a powerful model that has led to the development of simple yet highly scalable and efficient applications. “State” refers to stored information that systems use to process requests. This information can change over time as users interact with the application or as system events occur. 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘀𝘁𝗮𝘁𝗲𝗳𝘂𝗹 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀? Stateful applications store data like user IDs, session information, configurations, and preferences to help process requests for a given user. A stateful design allows applications to provide a personalized experience to their users while removing the need to share data across multiple requests. #applications #systemdesign2,78%
- 15 окт. 2024 г.🗣Very interesting talk about solving the problem with nailing ci/cd, if #dagger solves this problem it will be a revolution in software development #infrastructure #devops #application https://kubernetespodcast.com/episode/236-dagger/2,70%
- 27 июл. 2025 г.🚨Running Aws EKS in production is not just about launching a cluster ! 😶It’s about engineering for scale, reliability, and application-specific behavior and that only comes with real production experience. Creating effective solutions based on AWS EkS requires deep production experience. It’s not enough to "spin up a cluster"- you must design, adapt, and operate for real workloads. Good cloud services are just a set of tools, to create good architectural solutions for applications and then their excellent performance to work on a global scale, you need cool engineers who have experience with such tools🧑💻 Here is a good article confirming my words: https://engineering.probo.in/production-grade-pain-lessons-from-scaling-kubernetes-on-eks-03571838c7a3 #K8s #AmazonEKS #application #architecture #infrastructure #Kubernetes #CloudComputing #DevOps #CloudArchitecture #SiteReliabilityEngineering #ProductionReady #InfrastructureAsCode #CloudNative #SRE #Observability #PlatformEngineering #Scalability2,53%
- 20 мая 2025 г.без подписи2,46%
- 16 мар.🏗 Scaling GitOps: Argo CD + Kargo for 500+ Microservices Running GitOps for a few services is easy. Running GitOps for 500+ microservices across multiple environments is a completely different challenge. At that scale, the classic "commit → PR → merge → sync" workflow quickly becomes a bottleneck: - endless PRs - environment drift - fragile promotion pipelines - manual verification steps To keep delivery fast and reliable, GitOps needs automation, orchestration, and abstraction. This deep dive into Argo CD and Kargo explains how modern platform teams handle GitOps at scale. Key Technical Takeaways — 🚦 The Promotion Problem Standard GitOps struggles with environment promotion (Dev → Staging → Prod). Kargo introduces promotion pipelines that automate artifact movement between stages while maintaining GitOps integrity. 🧩 Abstraction at Scale Using ApplicationSets and Generators in Argo CD allows platform teams to manage hundreds of applications from a small set of templates, avoiding massive repo duplication. 🔄 Decoupling Environments Separating application definitions from environment configuration keeps deployments flexible and prevents the dreaded monolithic GitOps repository. ✅ Automated Verification Promotion pipelines can run tests, health checks, and validations before advancing deployments—removing manual approvals and reducing production risk. For teams building platform engineering capabilities or operating high-density Kubernetes environments, this is a solid blueprint for scaling GitOps beyond the basics. 🔗 https://akuity.io/blog/gitops-at-scale-500-microservices-argo-cd-kargo #GitOps #ArgoCD #Kargo #Kubernetes #CloudNative #PlatformEngineering #DevOps #ContinuousDelivery2,33%
- 24 нояб.🚀 Want to level-up your Kubernetes deployments? This article explains how to build a fully automated GitOps pipeline using GitHub Actions and ArgoCD - from PR-based preview environments to safe and controlled production rollouts. Perfect for improving CI/CD efficiency and release reliability. Read it here 👉 https://sheraziqbal.medium.com/from-pr-preview-production-with-github-actions-argocd-83ec64e57ec0 #DevOps #GitOps #ArgoCD #GitHubActions #Kubernetes #CICD #CloudNative #Automation2,27%
- 20 мая 2025 г.🚀 Modern CI/CD with Dagger, Argo CD, and Kubernetes! This flexible architecture leverages Dagger for portable CI/CD pipelines, Argo CD for GitOps-driven deployments, and AWS EKS with Karpenter for dynamic scaling 🧨 * Run pipelines in containers for isolation and portability. * Automate infrastructure with Git as the single source of truth. * Scale efficiently with ephemeral Dagger Engines and Karpenter. * Integrate seamlessly with GitHub via Actions Runner Controller. Cost-effective and cloud-native, it optimizes resources and supports modern DevOps. #CICD #GitOps #Kubernetes #DevOps https://dagger.io/blog/argo-cd-kubernetes1,94%
- 30 окт.#DevOps #kubernetes #humour1,85%
- 12 июн.🤖 5-Day AI Agents Intensive - Free Course by Google & Kaggle One of the most popular AI courses ever made. Over 1.5 million developers joined the live run. Now available as a self-paced guide - free, no deadlines. What's inside: 📌 Day 1 - Intro to Agents: how agentic architectures differ from classic LLM apps 🔧 Day 2 - Tools & MCP: how agents act — APIs, functions, Model Context Protocol 🧠 Day 3 - Context Engineering: short & long-term memory, multi-turn tasks 📊 Day 4 - Agent Quality: logs, metrics, reliability, security & AgentOps 🚀 Day 5 - Prototype → Production: deployment, scaling, multi-agent systems Stack: Gemini + Agent Development Kit (ADK) + hands-on codelabs in Kaggle Notebooks 🆕 Bonus: A new edition — AI Agents Vibe Coding — runs June 15–19, 2026. Build agents using natural language. Registration is open now. 👉 kaggle.com/learn-guide/5-day-agents #AI #agents #LLM #Google #Kaggle #free #machinelearning1,79%
- 4 нояб. 2024 г.без подписи1,77%