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Mezmo Helps Employment Hero Embrace Microservices at Scale

Employment Hero

Employment Hero, which was founded in 2014, originally deployed a software stack composed of monolithic applications. It started refactoring those applications to fit a microservices architecture around 2017. At the same time, it made the move toward a Kubernetes-centric environment for hosting its applications.The company’s engineers quickly discovered, however, that the logging and monitoring solution they had in place at the time was not sufficient for managing microservices applications. The platform did not offer an easy way to collect logs within a distributed environment where each service stores logs in a different place, let alone analyze the logs efficiently. Tracing user requests across the logs of multiple services was difficult, and there was no support for live tailing logs to track the latest activity.

As Luong Vo, Platform Engineering Manager atEmployment Hero, explained, “We needed the logging system to be scalable, easy to search, accurate in time, and support live tailing,” and the existing logging solution didn’t do that. At first, Luong and his team experimented with using self-hosted Elasticsearch, Logstash and Kibana—theELK stack—to meet their need for microservices friendly log aggregation and analytics. However, “we found that we were spending too much time scaling Elasticsearch and maintaining the whole stack,” he said, prompting them to search for a more user friendly alternative.

After evaluating other logging platforms, theEmployment Hero team settled on LogDNA.

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industry

Human Resources

REQUIREMENTS

  • Logging support for Kubernetes 
  • Ability to collect logs across a distributed environment
  • Ability to trace user requests across multiple services
  • Fast Live Tail
  • Ability to control spend

LOGDNA SOLUTIONS

  • LogDNA Agent for Kubernetes
  • Kubernetes Enrichment
  • Centralized log management
  • Fast Live Tail
  • Automatic Archiving, Exclusion Rules, and the Spike Protection Bundle

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Case Studies

Case Studies

Mezmo Helps Employment Hero Embrace Microservices at Scale

This case study shows how Employment Hero moved to Mezmo from a self-managed ELK stack to better manage microservices at scale. As of March 2021, Employment Hero had a valuation of nearly $200M USD.

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This case study shows how Employment Hero moved to Mezmo from a self-managed ELK stack to better manage microservices at scale. As of March 2021, Employment Hero had a valuation of nearly $200M USD.

This case study shows how Employment Hero moved to Mezmo from a self-managed ELK stack to better manage microservices at scale. As of March 2021, Employment Hero had a valuation of nearly $200M USD.

This case study shows how Employment Hero moved to Mezmo from a self-managed ELK stack to better manage microservices at scale. As of March 2021, Employment Hero had a valuation of nearly $200M USD.

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