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    3. Cloud & DevOps

    Cloud & DevOps

    Cloud infrastructure, platform engineering, automation, observability, and the operational side of running software.

    20 tags
    21 articles
    20 experts

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    • DevOps

      13 articles

    • Google Cloud

      3 articles

    • Platform Engineering

      3 articles

    • AIOps

      3 articles

    • CI/CD Pipelines

      2 articles

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      2 articles

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      2 articles

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      2 articles

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      2 articles

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      1 article

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      1 article

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      1 article

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      1 article

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      1 article

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      1 article

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    Software Engineering

    Top Writers

    • S

      Shivram Natarajan

      Senior DevOps SMA

      2 articles

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      Sanjai I

      Devops Engineer

      1 article

    • R

      Rubika Venkatesh

    Devops Engineer

    1 article

  1. S

    Shanmugapriya V

    DevOps Engineer

    1 article

  2. K

    karthik sundaram

    Devops Manager

    1 article

  3. V

    Vinitha Ganesan

    Senior DevOps Engineer

    1 article

  4. J

    Jayasurya Alagarasan

    Devops engineer

    1 article

  5. A

    Alagarsamy Rajagopal

    Team Lead Devops

    1 article

  6. G

    Gokul Balamurugan

    Devops Engineer

    1 article

  7. K

    Karthiga Munusamy

    Engineering Manager

    1 article

  8. Latest Articles

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      ETL failures often stem from schema drift and resource skews. Learn how to build resilient pipelines using Dataproc Serverless, Gemini AI, and Dataplex in 2026.

      Manigandan Velmurugan40
    • Real-Time Data Processing: The 2026 Dataflow Guide

      Master real-time data processing with Google Cloud Dataflow. Learn how exactly-once delivery and auto-scaling workers drive performance in 2026 pipelines.

      Devesh Balaji Bilapate00
    • Deduplication in Data Engineering: Scalable Solutions

      Duplicate data costs $12.9M annually. Master the strategies to scale deduplication across millions of records using SQL, LSH, and survivorship logic.

      Sudhapriyadharshini Ravi120
    • The Grafana LGTM Stack: Guide to 2026 Observability

      Master the Grafana LGTM stack in 2026. Learn how Loki, Grafana, Tempo, and Mimir reduce observability costs by 80% with AI-powered Unified Telemetry.

      Jeeva Ravichandran44
    • AI Test Automation 2026: From Scripts to Agentic QA

      AI test automation in 2026 has moved from brittle scripts to agentic QA, reducing maintenance by 85%. Explore the shift to autonomous self-healing tools.

      Swathi Iyer65
    • Fast Is a Feeling: Design for Perceived Speed in 2026

      Make products feel instant. Optimize for LCP and INP, prioritize the first paint and first tap, and cut main‑thread jank to turn “fast” into a user‑felt reality

      Siddharth Marappan51
    • Cloud, DevOps, AIOps, and MLOps: The 2026 Integration Guide

      Enterprises are shifting toward Autonomous Operations in 2026. Discover how AIOps and MLOps integrate with DevOps to manage exponential cloud complexity.

      Gokul Balamurugan67
    • Agile collaboration

      Project Manager , with 16 years of overall experience , leading Agile transformations across multiple teams and enabling high-performing cross-functional delivery using AI Driven Project Management , coaching teams on Scrum , SAFe principles conducting all the SCRUM ceremonies. .

      Swapnil Pradeep Singh11510
    • Cloud, DevOps, and MLOps: The 2026 Enterprise Guide

      Master the 2026 shift to AI-native platform engineering. Learn how MLOps, sovereign cloud, and AgentOps are redefining enterprise DevOps and infrastructure.

      Jayasurya Alagarasan326
    • Building a Self-Hosted AI Incident Response & RCA Stack

      Learn to build an open-source AIOps stack using Prometheus, Loki, and Local LLMs. Reduce incident toil without the SaaS price tag or cloud token bills.

      Shivram Natarajan169
    • The DevOps & Kubernetes Glossary You Actually Need (2026)

      Stop getting lost in jargon. Follow code from commit to production in this engineering-first guide to Kubernetes, DevOps, and SRE terms that actually stick.

      Shivram Natarajan97
    • How Automation Supports DevOps Operations

      Shanmugapriya V169
    • DevOps 2026: Mastering Agentic AI and Platforms

      The 2026 DevOps role has shifted from manual pipelines to AI-driven platform orchestration. Master agentic governance, IDPs, and ASPM to lead the next era.

      Rubika Venkatesh9311
    • How Embedded AI Works: Architectures and Trends for 2026

      Learn how AI works in embedded systems through NPU acceleration, TinyML, and physical AI. Discover why 2026 hardware is 40x more efficient for edge inference.

      Gokulaselvan Thamilvanan1810
    • DevOps and AI Automation in 2026: Future of Cloud Strategy

      Explore how AI native DevOps and sovereign cloud strategy drive a 1.7x ROI in 2026. Learn about agentic orchestration, FinOps, and NIST security standards.

      Kannadhasan Chandran159
    • Architecting AI-Native Data Systems in 2026

      Data engineering is the 2026 bottleneck for AI. Learn how to bridge the visibility-understanding gap with AI-native architecture and real-time observability.

      Athira Krishnan59
    • Active Defense: AI Security Agents for CI/CD (2026)

      By 2029, 70% of enterprises will use AI agents for IT ops. Learn how autonomous agents automate security monitoring and remediation in modern CI/CD pipelines.

      Karthiga Munusamy269
    • Cloud & DevOps 2026: The Rise of AI Platform Engineering

      By 2026, 80% of top IT teams will integrate AI agents into DevOps. Discover how platform engineering, geopatriation, and AI assistants are reshaping the cloud.

      Vinitha Ganesan2412
    • AIOps: The 3-Layer Pyramid for AI-Driven IT (2026 Data)

      AIOps helps IT teams reduce MTTR by 30-50% in 2026. Master the 3-layer pyramid—Data, Insights, and Automation—to build a self-healing enterprise infrastructure.

      karthik sundaram126
    • Platform Engineering vs DevOps: 2026 Enterprise Trends

      Enterprises are adopting Platform Engineering to scale DevOps. Discover how Internal Developer Platforms (IDPs) reduce cognitive load and drive ROI in 2026.

      Alagarsamy Rajagopal128
    • How Cloud Native Buildpacks Let Us Stop Writing Dockerfiles and Slash Build Config by 90%

      You are maintaining seventeen microservices. Every single one has its own Dockerfile. Half of them were written by engineers who left the company. One of them has an apt-get update with no pinned version, and nobody absolutely nobody is brave enough to touch it. That was us. And it was embarrassing.

      Sanjai I219