4. … AND MODERN APPS ARE OPERATIONALLY
UNPREDICTABLE…
Modern Apps are Rapidly Evolving & Increasingly Complex:
Keeping the lights on is becoming more complicated than ever
8. MACHINES PRODUCE A LOT OF DATA
“User clicked on red button”
“Page loaded in 350ms”
…
“User logged in”
“Phone went off”
…“Server A is up”
“Database query took
356ms”
…
9. IN REALITY, IT LOOKS MORE LIKE THIS
Logs contain software &
business critical information
12. MACHINE DATA IS EFFICIENT
Rich &
detailed data
Low Tech
resources
Real-Time
Insights
Logs can shorten time between data collection &
rich data consumption
14. 1. Be the first to know
2. Understand what’s going on
3. Monitor to prevent repetition
15. QUICK NOTIFICATION OF PERFORMANCE ISSUE
• Why are Support & Social Networks getting flooded
with customers complaints?
• What’s happening?
16.
17. EASY ACCESS TO GRANULAR INFORMATION
• Why nobody understand what’s going on? We are
losing revenue, brand luster, customer satisfaction
declines, and we are not spending time on new
features!
18.
19. FULL BIG PICTURE VISIBILITY
• How is our service response time doing? Is it following
the right trend?
• Are the main factors that impact its performance on
the right track?
23. CORRELATION OF BUSINESS AND TECH METRICS
• What is the impact of our new feature release on
revenue or other relevant business metrics such as
CTR / page views…?
24. USER LEVEL MONITORING ACROSS SERVICES
• How do I make sure our trigger email – the foundation
of our customers LTV – are indeed sent to our
customers base?
• How do we trace users across several services?
25. SIMPLE ACCESS TO TECH INSIGHTS
• How can I shorten time to answer clients to improve
satisfaction?
• How can Support Teams be mostly autonomous,
without waiting for tech teams to answer my request?