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on
1
Intro
2
React to change
3
Do you know your system will scale
4
When to test
5
Why testing
6
Close to production specs
7
Load testing
8
Designing load tests
9
Frontloading features
10
infrastructure
11
design guidelines
12
fail fast
13
Kill your Darlings
14
Linear growth
15
Design questions
16
Scaling up
17
Scaling out
18
Scaling throughput
19
Scaling unrelated tasks
20
When to scale
21
Monitoring
22
Dashboard
23
CPU Memory Usage
24
App Insights
25
Change your monitoring
26
Recap
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the challenges and solutions of scaling cloud-native systems in this 46-minute conference talk from NDC Oslo 2022. Discover why projects promising extreme scalability often struggle to support high loads despite unlimited resources. Learn from five years of real-world experience building large-scale cloud-native systems across different industries and cloud platforms. Gain practical tips and insights on architecture, technology choices, and software development processes that can hinder or enhance scalability. Understand common mistakes to avoid and best practices to implement, including when and how to test, designing load tests, infrastructure considerations, and monitoring strategies. Delve into topics such as frontloading features, fail-fast design, linear growth, scaling up vs. scaling out, and adapting monitoring techniques. Equip yourself with valuable knowledge to maximize the potential of your cloud-native systems and overcome scalability challenges.

Down-to-Earth Cloud Scaling

NDC Conferences
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