Crash Course: AI-native observability
Mentor – Yozhef Hisem, Solution Architect at MacPaw, 10+ years of experience.
Modern systems consist of dozens of services, queues, databases, and external integrations. When a problem occurs, it is not enough to simply open the log and look for an error. You need to understand how the entire system works, where bottlenecks occur, and how to quickly find the Root Cause.
In this course, you will understand the modern approach to Observability through Logs, Metrics, Error Tracking, and Distributed Tracing. A separate focus of the course is the use of AI for incident analysis, anomaly detection, and accelerated problem diagnosis.
Mentor - Yozhef Hisem, Solution Architect at MacPaw Inc.
- What you will get at the end:
- A holistic understanding of Observability — how to combine Logs, Metrics, Error Tracking, and Distributed Tracing into a single monitoring system, rather than using them separately.
- The skill to quickly find the Root Cause in complex distributed systems with dozens of services, queues, and external integrations, instead of chaotically reviewing logs.
- A practical approach to using AI for incident analysis — finding anomalies, correlating events, and accelerating problem diagnosis.
- Knowledge of how to build or improve your own Observability strategy in a team/company based on the real experience of a Solution Architect with MacPaw.
- A checklist of actions in case of an incident is created - where to start, what to look at first, how to reduce the time to resolution of the problem (MTTR).
Program
Day 1 - Production has fallen. What to do?
Logs, Errors and AI
- What is Observability and why Monitoring is no longer enough
- How to build Logs correctly
- Structured Logging and Correlation ID
- Business Events and Technical Events
- How Sentry and Error Tracking work
- Typical logging errors
- Grouping and error analysis
- Root Cause Analysis
- How AI helps analyze Logs and Stack Traces
Day 2 — What is the system trying to tell us?
Metrics, Alerting and AI
- Golden Signals
- RED and USE methodologies
- RPS, Latency, P95, P99
- Error Rate and Slow Requests
- Product and Technical Metrics
- Database and Infrastructure Metrics
- SLI, SLO and Error Budget
- Alerting without Alert Fatigue
- How to build effective Dashboards
- How AI finds anomalies and helps analyze Metrics
Day 3 — Who is really to blame?
Distributed Tracing and AI
- Trace and Span
- OpenTelemetry
- Distributed Tracing
- Propagation between services
- Event-Driven and Microservice architectures
- Waterfall Analysis
- Finding Bottlenecks in Complex Systems
- Real-world Production Cases
- Trace Analysis through AI
- Building a Single Observability Standard
Format:
Course: 3 two-hour online sessions.
Dates: 31.08, 02.09, 08.09, start at 18:30, (Kyiv time, GMT+3).
Platform: Zoom. You will receive a link to the stream before the course begins, and it will also be available on this landing page. In addition, all materials and lecture recordings will be available on the educational platform.
Language of the event: Ukrainian
Language of presentations: Ukrainian with English terms
Audience:
- Junior+ Developers (Backend/Full-stack)
- Technical Leads
- Architects
- Staff/Principal Engineers
Mentor: Yozhef Hisem
— Solution Architect at MacPaw Inc.
— Speaker at Fwdays (PHP & Architecture Talks), DOU and YouTube channels
— A regular participant in the Intern MacPaw educational program: for 4 years in a row he has been helping to integrate beginners into real projects
— Shares experience in the field of architecture and testing, in particular using BDD, Symfony, Redis, Docker and modern API solutions
— You could see József on the stages of Fwdays, read on DOU or listen to interviews on the YouTube channel "It’s raining cats & dogs"
Event price
Access to 3 online broadcasts (~10 hours)
Presentations and materials
Access to the course recording on the learning platform (1 year)
Access to the chat in the TG, where the speaker will answer questions (1 month)
Participant certificate (subject to completing homework)
Free month in Fwdays Club
Course participants receive a 10% discount on participation in Fwdays conferences
Affordable payment in installments from Monobank and purchase in installments from PrivatbankIf after the first lesson you realize that your expectations do not match, we will refund the money in full.