If Apache Kafka is the lifeblood of all nearline processing at LinkedIn, then Apache Samza is the beating heart pumping that blood around. Samza at LinkedIn is provided as a managed stream processing service where applications bring their logic (leveraging the wide variety of Samza APIs), while the service handles the hosting, managing, and operations of the...
Testing Articles
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- Topics:
- Stream Processing,
- Testing,
- Samza
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At LinkedIn, most decisions are made using experiments. When we want to decide between two features, we test them against each other in the real world: we give feature A to a random set of members, feature B to another set, and we compare the results. Are users of feature A more engaged? Do they have a better experience with our products? If so, feature A wins...
- Topics:
- Testing,
- data science,
- A/B Testing
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Co-authors: Erik Krogen and Min Shen In March 2015, LinkedIn’s Big Data Platform team experienced a crisis. As the team was preparing to head home for the day, signs of trouble began trickling in: our internal users were reporting that their applications were stalling or timing out. Job queues were backing up, and SLAs would be missed. A bit of investigation...
- Topics:
- Testing,
- Hadoop,
- Open Source
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Editor’s Note: This piece talks about test stability and makes mention of Ember in particular. While topics mentioned in this post...
- Topics:
- Testing,
- Ember,
- NYC Engineering
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Co-authors: Anil Mallapur and Michael Kehoe LinkedIn started as a professional networking service in 2003, serving user requests out...
- Topics:
- Performance,
- Testing,
- data center,
- SRE
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Let’s start this post with a little history. In November 2015, the mobile team was looking for a solution that would give a good...
- Topics:
- Testing,
- infrastructure,
- Mobile