Loggly

Loggly
Type of site
 Privately held company
Founded 2009
Headquarters San Francisco, California, USA
Key people
  • Charlie Oppenheimer (CEO)
  • Jon Gifford (Co-Founder & Chief Search Officer)
  • Manoj Chaudhary (CTO & Vice President of Engineering)
Industry Computer software, Enterprise software
Services Log Management and Intelligence, Log Analysis
Employees 25 (2014)
Website www.loggly.com

Loggly is a cloud-based log management and analytics service provider based in San Francisco, California.[1][2] Jon Gifford, Raffael Marty and Kord Campbell founded the company in 2009.[3][4] Charlie Oppenheimer is the CEO of Loggly.[5][6]

History

In 2009, Jon Gifford, Raffael Marty and Kord Campbell founded Loggly to assist companies with solving operational issues.[3] App47, a mobile application management provider, partnered with Loggly in September 2012.[2] The company chose Loggly because of its software-as-a-service (SaaS) deployment option.[2] In September 2013, Loggly released "Generation 2", an updated version of its service.[1] The update included log collection through standard syslog protocols and a graphical web interface that allowed users to use a point-and-click process to find log events and generate charts.[6] That month, Loggly completed a $10.5 million funding round led by Cisco and Data Collective.[1][7] Trinity Ventures, True Ventures and Matrix Partners also participated in the round.[1]

In October 2014, the company announced a $15 million series C funding round led by Harmony Partners.[3][8][9][10][11] Matrix Partners, Trinity Ventures, Cisco, Data Collective and True Ventures also participated.[3][8][10] The funding round raised Loggly's total investment funding to $33.4 million.[9] The company released Loggly Dynamic Field Explorer, a new user experience that aims to reduce the time developers spend on identifying and troubleshooting problems, that month.[3][11]

Operations

Loggly is headquartered in San Francisco, California.[2] The company had 25 employees and 5,000 customers in October 2014.[6][12] Loggly records log data from any device and reports it in a real-time management platform with trend data.[1]

Technology

Loggly is a cloud-based log management service provider.[1] It does not require the use of proprietary software agents to collect log data.[7] The service uses open source technologies, including Elasticsearch, Apache Lucene 4 and Apache Kafka.[13]

See also

References

  1. 1 2 3 4 5 6 Alex Williams (September 3, 2013). "Loggly, A Splunk Competitor, Raises $10.5M For Cloud-Centric Approach To Log Management". Retrieved November 12, 2014.
  2. 1 2 3 4 Nicole Laskowski. "App47 selects Loggly over Splunk for log management". Retrieved November 12, 2014.
  3. 1 2 3 4 5 CJ Arlotta (October 14, 2014). "Loggly Secures $15M Venture Round, Releases DevOps Troubleshooting Tool". Retrieved November 12, 2014.
  4. ↑ "Weekly Report(4th-10th June 2011)". June 11, 2014. Retrieved November 12, 2014.
  5. ↑ Jordan Novet (April 7, 2014). "Loggly grows as it convinces more companies to keep their logs in the cloud (exclusive)". Retrieved November 12, 2014.
  6. 1 2 3 Charles Babcock (September 3, 2013). "Cisco Backs Loggly; Watch Out VMware". Retrieved November 12, 2014.
  7. 1 2 Jon Gold (September 3, 2013). "Cisco one of investors in log management startup Loggly". Retrieved November 12, 2014.
  8. 1 2 Jonathan Vanian (October 14, 2014). "Loggly lands $15M as it continues to push application performance". Retrieved November 12, 2014.
  9. 1 2 Maria Deutscher (October 16, 2014). "Loggly raises $15 million to take the fight against Splunk up the stack".
  10. 1 2 Iris Dorbian (October 14, 2014). "Loggly nets $15 mln in round led by Harmony Partners". Retrieved November 12, 2014.
  11. 1 2 "Loggly Bridges The Log Capture And Visualization Divide, Raises $15M To Boot". October 14, 2014. Retrieved November 12, 2014.
  12. ↑ Alex Williams. "Loggly Adds Context to Log Analysis, Minimizing Trial and Error". Retrieved November 12, 2014.
  13. ↑ "Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search". November 29, 2013. Retrieved November 12, 2014.

External links

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