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<description>Engineering insights and product updates from Nova AI Ops — SRE playbooks, incident postmortems, AIOps best practices, and real outage breakdowns.</description>
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<title>The 100-Post Capstone: What I’ve Learned</title>
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<description>The recurring patterns across 100 posts: scale wins, evals matter, cost engineering compounds, the future is portable, and the boring work pays.</description>
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<title>The Economics of AI Companies in 2026</title>
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<pubDate>Tue, 24 Nov 2026 00:00:00 +0000</pubDate>
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<description>The cost structure of an AI company in 2026, the unit-economics math, and the categories that have proven defensible vs the ones that haven’t.</description>
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<item>
<title>AI Failure Modes: A Taxonomy</title>
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<pubDate>Tue, 17 Nov 2026 00:00:00 +0000</pubDate>
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<description>Eight common failure modes with examples, root causes, and mitigations. The shape of an incident postmortem for AI systems.</description>
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<title>Energy and Sustainability in ML</title>
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<pubDate>Tue, 10 Nov 2026 00:00:00 +0000</pubDate>
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<description>The energy math, the efficiency gains that have shifted the curve, and the corporate reporting requirements emerging in 2026.</description>
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<item>
<title>AI Hardware: Custom ASICs</title>
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<pubDate>Tue, 03 Nov 2026 00:00:00 +0000</pubDate>
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<description>What each major AI ASIC actually does well, the throughput and cost numbers, and where dedicated inference hardware beats general GPUs.</description>
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<title>Test-Time Compute and Iterative Reasoning</title>
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<pubDate>Tue, 27 Oct 2026 00:00:00 +0000</pubDate>
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<description>The test-time compute scaling laws, the techniques (extended reasoning, self-consistency, search), and the cost-quality dial it gives you.</description>
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<title>Active Learning at Scale</title>
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<pubDate>Tue, 20 Oct 2026 00:00:00 +0000</pubDate>
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<description>How active learning works, the query strategies (uncertainty, diversity, expected impact), and why it’s underused.</description>
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<item>
<title>Causal Inference in ML</title>
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<pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate>
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<description>Why correlation-only ML can mislead, the causal techniques (instrumental variables, propensity scoring, do-calculus), and the production tools.</description>
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<item>
<title>JEPA and Self-Supervised Vision</title>
<link>https://novaaiops.com/blog/jepa-self-supervised-vision</link>
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<pubDate>Tue, 06 Oct 2026 00:00:00 +0000</pubDate>
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<description>How JEPA differs from generative vision models, why predicting in embedding space might generalise better, and the empirical state in 2026.</description>
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<item>
<title>World Models and Planning</title>
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<pubDate>Tue, 29 Sep 2026 00:00:00 +0000</pubDate>
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<description>What a world model is, the leading research lines (Dreamer, JEPA, Genie), and where this might unlock new capabilities.</description>
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<title>The 2027 Outlook</title>
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<pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate>
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<description>Five things that feel near-certain for AI in 2027, three that are likely, and three that are wildcards. Plus the strategic implications for builders.</description>
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<title>Compliance for ML Systems</title>
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<pubDate>Tue, 15 Sep 2026 00:00:00 +0000</pubDate>
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<description>The 2026 regulatory map for ML systems, the engineering controls each requires, and the practical paperwork that keeps you out of trouble.</description>
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<item>
<title>LLM Gateway Design</title>
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<pubDate>Tue, 08 Sep 2026 00:00:00 +0000</pubDate>
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<description>What an LLM gateway does, the open-source options (LiteLLM, Portkey), the features that matter, and the build-vs-buy decision.</description>
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<title>Cost Engineering for LLM Apps</title>
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<pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate>
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<description>The cost levers that matter (caching, routing, batching, prompt compression, fine-tune for volume), and how to prioritise them.</description>
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<item>
<title>Vector Index Types: HNSW, IVF, ScaNN, DiskANN</title>
<link>https://novaaiops.com/blog/vector-index-types-compared</link>
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<pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate>
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<description>HNSW (graphs), IVF (clustering), ScaNN (quantization + tree), DiskANN (disk-based). Memory, recall, and scale tradeoffs side-by-side.</description>
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<title>ML System Architecture Patterns</title>
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<pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
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<description>Online inference, batch inference, streaming inference, RAG, agent loop, embedding pipeline. Each pattern’s shape, when to use, and the failure modes.</description>
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<title>Model Interpretability Tools</title>
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<pubDate>Tue, 11 Aug 2026 00:00:00 +0000</pubDate>
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<description>The tools that work today for interpretability research and production debugging, and where to start if you want to see inside a model.</description>
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<title>Watermarking AI Output</title>
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<pubDate>Tue, 04 Aug 2026 00:00:00 +0000</pubDate>
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<description>How text watermarks (token-level statistical signatures) and image watermarks (spread-spectrum modifications) work, and why both are easier to defeat than ship.</description>
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<title>RLAIF and Constitutional Variants</title>
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<pubDate>Tue, 28 Jul 2026 00:00:00 +0000</pubDate>
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<description>How RLAIF differs from CAI, the cost reduction vs RLHF, the auditability advantage, and the limits.</description>
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<title>RLHF Deep Dive</title>
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<pubDate>Tue, 21 Jul 2026 00:00:00 +0000</pubDate>
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<description>The full RLHF pipeline (preference collection, reward model, PPO training), the costs at each stage, and the reasons modern alignment is moving past it.</description>
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<title>AI for Scientific Discovery</title>
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<pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate>
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<description>Where AI has produced verifiable scientific results (protein folding, materials, math), the architecture patterns (search + neural nets), and the limits.</description>
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<item>
<title>Robotics Foundation Models</title>
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<pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate>
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<description>What VLA models do, how they unify perception/planning/action, the data scarcity challenge, and the realistic 2026 capability picture.</description>
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<title>Voice and Audio AI Models</title>
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<pubDate>Tue, 30 Jun 2026 00:00:00 +0000</pubDate>
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<description>Speech-to-text vs end-to-end voice models, the leading systems (Whisper, ElevenLabs, OpenAI Realtime, Gemini Live), and the safety-versus-utility tradeoffs.</description>
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<item>
<title>Diffusion Models for Images</title>
<link>https://novaaiops.com/blog/diffusion-models-for-images</link>
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<pubDate>Tue, 23 Jun 2026 00:00:00 +0000</pubDate>
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<description>How diffusion works at intuition level, the U-Net vs DiT architectures, what makes Stable Diffusion / Flux / Midjourney different, and the practical knobs.</description>
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<item>
<title>Reasoning Models: o1-Style Architecture</title>
<link>https://novaaiops.com/blog/reasoning-models-o1-style</link>
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<pubDate>Tue, 16 Jun 2026 00:00:00 +0000</pubDate>
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<description>What makes a reasoning model architecturally different, the test-time compute tradeoff, the gains on math/code/science benchmarks, and where they don&#x27;t help.</description>
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<item>
<title>Code-Specific Models</title>
<link>https://novaaiops.com/blog/code-specific-models</link>
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<pubDate>Tue, 09 Jun 2026 00:00:00 +0000</pubDate>
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<description>How code-specific models differ from general LLMs, the leaders in 2026 (Codestral, DeepSeek-Coder, Starcoder), the benchmarks, and when to reach for one.</description>
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<title>Multimodal Models: Vision, Audio, Video</title>
<link>https://novaaiops.com/blog/multimodal-models-vision-audio-video</link>
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<pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
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<description>How vision and audio get tokenised, what video models look like internally, the production use cases, and the failure modes you should design around.</description>
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<item>
<title>Long Context Windows: 1M+ Tokens</title>
<link>https://novaaiops.com/blog/long-context-windows-million-plus</link>
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<pubDate>Tue, 26 May 2026 00:00:00 +0000</pubDate>
<category>agentic</category>
<description>What enabled 1M-2M context windows, the ‘needle-in-haystack’ vs effective recall distinction, the cost math, and when long context beats RAG.</description>
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<item>
<title>Agentic SRE: Where AI Meets Operations</title>
<link>https://novaaiops.com/blog/agentic-sre-where-ai-meets-ops</link>
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<pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
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<description>What separates agentic SRE from AIOps, the four-layer architecture, the autonomy spectrum in production, and the categories of work where agents already outperform humans.</description>
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<item>
<title>Regulatory Landscape: EU AI Act Post-2026</title>
<link>https://novaaiops.com/blog/eu-ai-act-post-2026</link>
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<pubDate>Tue, 12 May 2026 00:00:00 +0000</pubDate>
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<description>What the AI Act covers, the risk-tier system, the obligations for foundation-model providers vs deployers, and the practical compliance work it creates.</description>
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<title>Model Theft and Extraction Attacks</title>
<link>https://novaaiops.com/blog/model-theft-extraction-attacks</link>
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<pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate>
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<description>How extraction attacks work, the cost to attackers, the defenses (rate-limiting, watermarking, output noise), and the legal landscape around model theft.</description>
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<title>Adversarial Examples and Defense</title>
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<pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate>
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<description>How adversarial examples work, why neural networks are vulnerable, the categories of attacks (white-box, black-box, transfer), the standard defences, and where the field stands in 2026.</description>
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<title>Grafana Dashboards in 30 Minutes</title>
<link>https://novaaiops.com/blog/hello-world-grafana-dashboards</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Stand up Grafana, connect Prometheus, build a dashboard with three panels &amp;mdash; from zero to working visualization in under 30 minutes.</description>
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<title>Kubernetes Cluster in 30 Minutes (kind)</title>
<link>https://novaaiops.com/blog/hello-world-kubernetes-cluster</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Spin up a local Kubernetes cluster with kind, deploy nginx, expose it &amp;mdash; from zero to your-first-pod in under 30 minutes.</description>
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<title>Terraform AWS Tutorial: Your First Resource</title>
<link>https://novaaiops.com/blog/hello-world-terraform-aws</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Write Terraform that creates an S3 bucket. Apply it. Inspect state. Destroy it. The 30-minute tutorial that demystifies IaC.</description>
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<title>Prometheus + Alertmanager: 30-Minute Tutorial</title>
<link>https://novaaiops.com/blog/hello-world-prometheus-alertmanager</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Stand up Prometheus, instrument an app, write an alert, route to Slack. Beginner-friendly walkthrough of the modern monitoring stack.</description>
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<title>Your First Helm Chart in 30 Minutes</title>
<link>https://novaaiops.com/blog/hello-world-helm-chart</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Generate a Helm chart, customize values, install, upgrade, rollback. The 30-minute tutorial that gets you packaging Kubernetes apps.</description>
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<title>Argo CD: From Zero to GitOps</title>
<link>https://novaaiops.com/blog/hello-world-argo-cd</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Install Argo CD, point at a Git repo, deploy automatically on commit &amp;mdash; the 30-minute tutorial.</description>
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<title>Your First AWS Lambda Function in 20 Minutes</title>
<link>https://novaaiops.com/blog/hello-world-aws-lambda-tutorial</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Write a Lambda function, deploy it, invoke it. The fastest serverless walkthrough.</description>
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<title>Redis as Cache: 30-Minute Tutorial</title>
<link>https://novaaiops.com/blog/hello-world-redis-cache-tutorial</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Run Redis, write a cache layer in Python, see latency drop. The 30-minute walkthrough.</description>
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<title>Kafka Producer/Consumer in 30 Minutes</title>
<link>https://novaaiops.com/blog/hello-world-kafka-producer-consumer</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Run Kafka, write a producer + consumer in Python, see messages flow. The introductory walkthrough.</description>
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<title>Postgres Streaming Replication: 30-Minute Tutorial</title>
<link>https://novaaiops.com/blog/hello-world-postgres-replication</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Set up a primary + replica Postgres pair. Watch streaming work. The 30-minute hands-on.</description>
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<title>HashiCorp Vault for Secrets: 30-Minute Tutorial</title>
<link>https://novaaiops.com/blog/hello-world-vault-secrets</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Run Vault dev server, store a secret, retrieve it from an app. The 30-minute walkthrough.</description>
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<title>Istio Service Mesh: 30-Minute Tutorial</title>
<link>https://novaaiops.com/blog/hello-world-istio-service-mesh</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Install Istio, deploy bookinfo, see traffic flowing through sidecars. The 30-minute introductory walkthrough.</description>
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<title>Postgres Backup + Restore: 30-Minute Tutorial</title>
<link>https://novaaiops.com/blog/hello-world-postgres-backup-restore</link>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Take a logical backup, simulate data loss, restore. The 30-minute hands-on that builds backup confidence.</description>
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<title>Elastic Stack (ELK): 30-Minute Tutorial</title>
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<description>Run Elasticsearch + Kibana, ship logs in via Filebeat, search them. The 30-minute walkthrough.</description>
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<title>Trivy Container Scanning in 15 Minutes</title>
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<description>Install Trivy, scan a Docker image, integrate into CI. The fastest path to image-vulnerability awareness.</description>
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<title>GitHub Actions: From First Workflow to Reusable</title>
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<description>Write your first workflow, then turn it into a reusable workflow other repos consume. The 30-minute tutorial that levels you up.</description>
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<title>OpenTelemetry Distributed Tracing in 45 Minutes</title>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
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<description>Instrument two services; see the trace cross the boundary. The 45-minute walkthrough that gets you tracing in prod.</description>
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<title>Chaos Engineering with LitmusChaos: 30 Minutes</title>
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<pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate>
<category>tutorials</category>
<description>Install LitmusChaos, run pod-delete experiment, see your system recover (or not). The 30-minute introductory walkthrough.</description>
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