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🔥 Preparing for DevOps interviews? Presenting DevOps Terminal 📚 150+ DevOps Questions for: • Docker/K8s • CI/CD • Cloud • IaC • Monitoring • Security + much more! Level up your DevOps interview game! 🚀 #DevOps #Jobs #Careers #DevOpsCommunity
24,368 views • 1 year ago •via X (Twitter)
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One feature request that I would like to see is the Blog section in which viewers will be able to access the latest blog posts and announcements in the DevOps area, Just as like the Tldr website
Feel free to create issues or submit PR: Community website: Interview: Community:
In this episode of the 'In Security' Podcast, coming to you from the Himalayas, @WilHarm3, Operating Partner and CISO at @craft_ventures, and Josh Mullis, Head of Information Security at @productiv_inc, share thoughts on the evolving role of a CISO. 🔗:
great work Rohit
Thank you!!
Great work man! 👏🏻
Thanks!!
Nice
Thanks
I love the effort you put into sharing these resources! It’s rare to find such helpful, well-curated content. Thank you for making things easier for all of us!
Thanks
![HERMES AGENT NOW HAS AUTOMATION TEMPLATES. COPY-PASTE RECIPES FOR CRON JOBS AND WEBHOOKS. ANY MODEL. ANY DELIVERY PLATFORM. three trigger types: SCHEDULE → runs on a cadence (hourly, nightly, weekly) GITHUB EVENT → fires on PR opens, pushes, issues, CI results API CALL → any external service POSTs JSON to your endpoint all three deliver to Telegram, Discord, Slack, SMS, email, GitHub comments, or local files.Nous Research what templates ship right now: DEVELOPMENT: → nightly backlog triage (label + prioritize new issues) → automatic PR code review (posts review on every PR) → docs drift detection (finds code changes without doc updates) → dependency security audit (daily CVE scan, CVSS >= 7.0) DEVOPS: → deploy verification (smoke tests after every deploy) → alert triage (correlates alerts with recent changes) → uptime monitor (check endpoints every 30 min, notify only when something is down) RESEARCH: → competitive repo scout (monitor competitor PRs daily) → weekly AI news digest (headlines, papers, repos, industry) → daily arXiv scan (saves summaries to your notes) the webhook system is the part most people miss: hermes webhook subscribe github-pr-review \ --events "pull_request" \ --prompt "Review this PR for security, performance, and code quality." \ --skills "github-code-review" \ --deliver github_comment one command. every future PR gets reviewed automatically. the review posts as a comment directly on the PR. two cost-saving details from the docs: 1. use [SILENT] in prompts. "if nothing changed, respond with [SILENT]" prevents notification noise on monitoring jobs. 2. use script-only cron jobs for data collection. a Python script handles HTTP requests and file reads. the agent only sees stdout and applies reasoning. cheaper and more reliable than having the agent fetch. every template is copy-paste ready. every template works with any model. docs: full Hermes agent SOUL MD guide in the article 👇](https://image.24vids.com/tw-2065302739031118103/amplify_video_thumb/2065302364022521856/img/GybDqgkpwKwJWZu2.jpg)
![HERMES AGENT HAS FEATURES THAT 90% OF USERS NEVER TOUCH. /BACKGROUND. /STEER. /GOAL. SUB-AGENTS. MODEL SWITCHING. CRON JOBS. 7 LEVELS OF HERMES. ALL EXPLAINED.👇 LEVEL 1 — ONE-SHOT PROMPTS you type a prompt. agent responds. done. this is using Hermes as a chatbot. it works but you leave 90% of the value untouched. LEVEL 2 — MEMORY + SOUL.MD the agent remembers you across sessions. you wrote a SOUL.md with identity, voice, restrictions. Hermes tailors every answer to your context. two people asking the same question get different answers because it knows them differently. LEVEL 3 — COMMANDS THAT MULTIPLY OUTPUT /background → fires a task in the background. your main session stays free. result appears as a panel when done. /steer → injects a message into the current run without interrupting the agent. redirects the work mid-execution. /queue → queues a follow-up for after the current task finishes. /model → switches models mid-session. start with Sonnet for planning. switch to DeepSeek for execution. switch to Opus for review. configure default behavior: display: busy_input_mode: steer # or queue, or interrupt LEVEL 4 — SKILLS + RIGHT MODEL PER SKILL every installed skill becomes a slash command: /competitive-research analyze my top 3 competitors /social-media-copy write 5 LinkedIn posts /code-review check this PR for security issues the unlock: assign a specific model per skill. research skill → GPT-5.5 (cheap, high volume). code review skill → Fable 5 (best at code). content skill → Sonnet (best at writing). you stop paying premium prices for tasks that don't need premium models. LEVEL 5 — MCPs (CONNECT YOUR WORLD) plug Hermes into the tools you already use: Gmail, Calendar, Notion, Slack, ClickUp, Granola. the agent reads your emails, checks your calendar, pulls from your project management tool, and answers questions using YOUR actual data. "what were the numbers this week?" Hermes checks ClickUp, cross-references with your goals in memory, gives a contextualized answer. caveat from the docs: keep MCPs minimal. every MCP adds tools to the context window. 15 MCPs with 10 tools each = 150 tool schemas the model reads every turn. install what you use. disable what you don't. LEVEL 6 — SUB-AGENTS + PARALLEL EXECUTION delegate_task spawns sub-agents with isolated context. batch mode runs children in parallel: delegate_task(tasks=[ {goal: "research best industries for websites", model: "deepseek-v4-flash"}, {goal: "critique the research and find gaps", model: "gpt-5.5"}, ]) max_concurrent_children: 3 (default). each child gets own terminal session and toolset. parent receives summaries when children finish. roles: → leaf (default): cannot re-delegate → orchestrator: can spawn its own workers (bounded by delegation.max_spawn_depth) LEVEL 7 — ASYNC OPERATIONS this is where the agent works without you. /goal — persistent objective across turns. judge model checks after every turn. runs until done or budget hit (default 20 turns). cron jobs — scheduled tasks on repeat. morning briefs, competitor scans, weekly reviews. wakeAgent gates for zero-token monitoring. /background — parallel tasks in current session. results delivered when ready. your main conversation never stops. the shift: from "I ask, it responds" to "it works, I review." WHERE ARE YOU? 1 → chatbot 2 → it knows you 3 → parallel commands 4 → right model per task 5 → connected to your tools 6 → sub-agents working together 7 → runs without you most people are at 2-3. the jump from 4 to 7 is where the real time savings compound. this is just the first 7. beyond this: multi-profile architecture, self-improving knowledge bases, voice mode, kanban orchestration, webhook automation, profile distributions, browser control, IDE integration, and more. comment LEVEL and I'll send you the advanced levels with setup for each. Full guide how to build 3-agent research department with Hermes 👇](https://image.24vids.com/tw-2067607662582284458/amplify_video_thumb/2067603833216221184/img/iYKSGkZ71CVRuf4D.jpg)