Cloud Native Observability

Key Takeaways

• Comprehensive observability foundation. Participant will gain a deep understanding of observability, the fundamental difference between monitoring and observability, the importance of instrumentation and how to use them to enable visibility into modern cloud-native applications.
• Gain practical skills in instrumenting applications. Learn how to collect and emit metrics, logs and traces from microservices. 
• Implement observability pipelines. Construct observability pipeline and configure how your pipeline should process and enrich the instrumentation data stream to improve observability.
• Learn to query and visualize your instrumented data. Query timeseries database to extract and visualize key performance indicators. 
• Design chaos experiments to enhance system reliability. Use chaos engineering to intentionally inject failures into system to observe, understand and identify issues in the system to improve reliability.

Who Should Attend

• Software developers
• DevOps engineers
• Site Reliability engineers
• Solution architects
• Technical leads

Pre-requisites

• Basic programming knowledge. Familiarity with one programming language (preferably JavaScript) is expected.
• Familiarity with cloud native concepts. A foundational understanding of networking, microservices architecture, containers and Kubernetes
• Comfortable with CLI (Comand-Line-Interface). Participants should be comfortable in a navigating and working in a shell.

What to Bring

No printed copies of course materials are issued.
Participants must bring their laptops with power charger to access and download course materials.

Please see below for the tech specs:

What Will Be Covered

• Introduction to Observability. Learn the difference between monitoring and observability. Measure the service’s health with frameworks like the Golden Signals, RED and USE methodologies.
• Capturing logs, metrics and traces. Participants will learn about the different types of logs, metrics and traces; how to use auto and manual instrumentation to capture and observe these data across microservices.
• Unified observability pipelines. Participants will learn about OpenTelemery and how to use it to create and configure pipelines to ingest, enrich with contextual data and export to popular backends like Prometheus and Grafana.
• Data visualisation. Participants will learn to use tools to build interactive dashboards to visualize data. They will build effective dashboards to monitor key metrics and how to interpret then for troubleshooting, understanding system behaviour and capacity planning.
• Integrate chaos engineering with observability. Use chaos engineering methodologies to validate system resilience and measure the impact of component failures with observability.
• Practical hands-on workshop. There will be daily real-world scenario workshops to reinforce core topics and to challenge participants.

Fees & Subsidies

1. All fees and subsidies are valid from January 2024, unless otherwise advised.
2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
3. From 1st January 2024, the GST will be increased to 9%.

Certificate

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and pass the required assessments.

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

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WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.