book

Cloud Native Patterns

by Cornelia Davis

May 2019

Intermediate to advanced

400 pages

14h 2m

English

Manning Publications

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1.1. Today’s application requirements1.2. Introducing cloud-native software1.3. Cloud-native and world peaceSummary
2.1. The obstacles2.2. The enablersSummary
3.1. The cloud(-native) platform evolution3.2. Core tenets of the cloud-native platform3.3. Who does what?3.4. More cloud-native platform capabilitiesSummary
4.1. We’re (usually) taught imperative programming4.2. Reintroducing event-driven computing4.3. My global cookbook4.4. Introducing Command Query Responsibility Segregation4.5. Different styles, similar challengesSummary
5.1. Cloud-native apps have many instances deployed5.2. Stateful apps in the cloud5.3. HTTP sessions and sticky sessions5.4. Stateful services and stateless appsSummary
6.1. Why are we even talking about config?6.2. The app’s configuration layer6.3. Injecting system/environment values6.4. Injecting application configurationSummary
7.1. Having empathy for operations7.2. Single-app lifecycle, multiple-instance lifecycles7.3. Coordinating across different app lifecycles7.4. Let’s see this in action: Credential rotation and app lifecycle7.5. Dealing with ephemeral runtime environments7.6. Visibility of app lifecycle state7.7. ServerlessSummary
8.1. The service abstraction8.2. Dynamic routing8.3. Service discoverySummary
9.1. Request retries9.2. Fallback logic9.3. Control loopsSummary
10.1. Circuit breakers10.2. API gateways10.3. The service meshSummary
11.1. Application logging11.2. Application metrics11.3. Distributed tracingSummary
12.1. Every microservice needs a cache12.2. Moving from request/response to event driven12.3. The event log12.4. Event sourcing12.5. We’re just scratching the surfaceSummary

Content preview from Cloud Native Patterns

Chapter 11. Troubleshooting: Finding the needle in the haystack

This chapter covers

Application logging for services in ephemeral environments
Application monitoring for services in ephemeral environments
Distributed tracing

Back in 2013, I was working with one of the first enterprise customers of the Cloud Foundry open source platform. I visited a particular client every couple of weeks to check on their progress and to help explain capabilities that at that time were really quite new to the industry. And no matter how cool the feature set I was describing, one of the engineers from that organization invariably responded with something along the lines of “Cornelia, you are giving me a Ferrari without a dashboard.” You see, we hadn’t yet ...