AWS Lambda Deployment Inspection and Serverless Observability — PickAClass
⏱ 2 oras 30 min 📚 25 aralin

AWS Lambda Deployment Inspection and Serverless Observability

Learn to analyze, debug, and monitor your serverless functions using native AWS tools to ensure reliable and high-performing deployments.

  • 💬 AI instructor
    Magtanong tungkol sa anumang aralin at makakuha ng malinaw na sagot agad, anumang oras.
  • 🕐 Magsimula anumang oras
    Walang iskedyul o deadline — mag-aral sa sarili mong bilis, kahit kailan.
  • 🌐 Sa Filipino
    Mga aralin, gawain at sertipiko — lahat ay ganap na nasa wika mo.

Tungkol sa kursong ito

Deploying serverless applications is fast, but understanding how they perform and diagnosing deployment issues in production can be challenging. This text-based course guides you through the essential tools and techniques needed to inspect, monitor, and analyze your AWS Lambda functions. You will transition from deploying blind to having complete visibility into your serverless infrastructure. By reading detailed explanations, analyzing configuration examples, and working through structured written exercises, you will gain the confidence to troubleshoot Lambda deployments and optimize execution performance. What you'll learn: - Understand the core concepts of serverless architecture, Lambda execution environments, and deployment lifecycles. - Configure AWS CloudWatch to collect, search, and analyze logs using CloudWatch Logs Insights. - Trace serverless requests end-to-end and identify latency bottlenecks using AWS X-Ray. - Monitor deployment health and track critical performance metrics like duration, errors, and concurrency. - Implement modern observability practices to proactively detect deployment failures and performance regression. The course begins with foundational concepts of serverless execution and deployment basics before moving into practical configuration steps for logging and tracing. You will learn to interpret log data, set up alerts, and systematically isolate deployment errors. This course is designed for software developers, system administrators, and cloud beginners who want to master serverless monitoring. No prior AWS DevOps experience is required. Start reading today to bring deep visibility and reliability to your AWS Lambda deployments.

Nilalaman ng kurso

Ang makukuha mo

  • 📜 Certificate ng pagtatapos
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  • 💬 Personal na AI tutor
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  • ♾️ Lifetime access
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  • 📱 Telepono o computer
    Gumagana saanman, kahit anong device
  • 💸 14-day refund
    Walang tanong
  • ⚡ Maikli at focused
    2 oras 30 min ng practical content

Certificate ng pagtatapos

Bawat kursong tinapos mo sa PickAClass ay nag-iisyu ng credential na ganito — orihinal, may sariling code, ma-verify sa URL, at detalyado tungkol sa aktwal na naipakita.

P
PickAClass
Skills profile · verifiable
Dokumento
Certificate of Mastery
Pinatutunayan nito na
Pangalan Apelyido
ay matagumpay na nagpakita ng kahusayan sa
AWS Lambda Deployment Inspection and Serverless Observability
Mga skill na ipinakita
✓
Pagsusuri ng Behavioral Pattern
Pundasyonal
1.2 oras
✓
Mga framework ng decision-architecture
Bihasa
1.4 oras
✓
Disenyo ng A/B test
Bihasa
1.7 oras
✓
Behavioral copywriting
Advanced
1.9 oras
P
PickAClass — Pangalan Apelyido
AWS Lambda Deployment Inspection and Serverless Observability
Pahina 2 ng 2
Detalye ng performance
Buod ng coursework
Mga araling natapos 14 / 14
Practice questions 26 / 28
Mga assignment na isinumite 4 (avg 4.5 / 5)
Capstone project Nasuri — 4.6 / 5
Kabuuang practice 6.2 oras
Performance benchmark
Cohort rank Top 12% sa 1,625
Oras hanggang matapos 11 araw (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
I-verify ang credential na ito
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Inisyu sa ilalim ng academic standards ng PickAClass. Ang skill levels ay sumasalamin sa na-assess na performance laban sa competency rubric ng kurso. Ito ay orihinal na credential ng platform na ito.

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Telepono o computer na may internet lang. Walang install, walang special hardware.

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Oo — full refund sa loob ng 14 araw, walang tanong.

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