![]() While running Loglens as our logging backend, we ingested around 600K events per second per datacenter. Logs were written to local Scribe daemons, forwarded onto Kafka, and then ingested into the Loglens indexing system. Below is a simplified diagram of the Loglens ingestion system. More information about Loglens can be found on our previous post. Unsurprisingly, a logging system with such limited resource investment ultimately fell short of users’ expectations, and the system saw suboptimal adoption by developers at Twitter. In terms of addressing the problems set before it, with the cost and time constraints limiting it, Loglens was a fairly successful solution. Loglens was focused on ingesting logs from services that make up Twitter. Very little time investment from developers for ongoing maintenance and improvements.This logging system was designed with the following goals: This initial system addressed frustrations around the ephemerality of logs living inside of containers on our compute platform and the difficulty in browsing through different log files from different instances of different services while investigating an ongoing incident. Legacy logging at Twitterīefore we adopted Splunk Enterprise at Twitter, our central logging platform was a home-grown system called Loglens. Our migration to Splunk Enterprise has given us a much stronger logging platform overall, but the process was not without its challenges and learnings, which we’ll share in greater detail in this blog. Now we ingest 4 times more logging data and have a better query engine and better user adoption. To address this, we adopted Splunk Enterprise and migrated centralized logging to it. BMC Medicine, 18(1).While centralized logging previously existed at Twitter, it was limited by low ingestion capacity and limited query capabilities, which resulted in poor adoption and failed to deliver the value we hoped for. Chambers D, Cantrell A, Baxter S, Turner J & Booth A (2020) Effects of service changes affecting distance / time to access urgent and emergency care facilities on patient outcomes : a systematic review.Health Services and Delivery Research, 3(43). Turner J, Coster J, Chambers D, Cantrell A, Phung V-H, Knowles E, Bradbury D & Goyder E (2015) What evidence is there on the effectiveness of different models of delivering urgent care? A rapid review.Coster JE, Irving AD, Turner JK, Phung VH & Siriwardena AN (2018) Prioritizing novel and existing ambulance performance measures through expert and lay consensus: A three‐stage multimethod consensus study.O'Cathain A, Jacques R, Stone T & Turner J (2018) Why do ambulance services have different non-transport rates? A national cross sectional study.Coster J, O'Cathain A, Jacques R, Crum A, Siriwardena N & Turner J (2019) Outcomes for patients who contact the emergency ambulance service and are not transported to the Emergency Department: a data linkage study.Programme Grants for Applied Research, 7(3). ![]() ![]() Turner J, Siriwardena AN, Coster J, Jacques R, Irving A, Crum A, Gorrod HB, Nicholl J, Phung V-H, Togher F, Wilson R et al (2019) Developing new ways of measuring the quality and impact of ambulance service care: the PhOEBE mixed-methods research programme.Health Services and Delivery Research, 9. Chambers D, Cantrell A, Johnson M, Preston L, Baxter S, Booth A & Turner J (2019) Digital and online symptom checkers and health assessment/triage services for urgent care : a systematic review.Health Services and Delivery Research, 7(29), 1-88. Chambers D, Cantrell A, Johnson M, Preston L, Baxter SK, Booth A & Turner J (2019) Digital and online symptom checkers and assessment services for urgent care to inform a new digital platform : a systematic review.Support for refugee students and scholars.Conferences, events, visitor accommodation and weddings.Research centres, institutes and networks.Subject taster sessions for Y12 and Y13 students.Mini Masterclass in Health Research webinars.Policy Research Unit in Economic Methods of Evaluation in Health & Social Care Interventions.Centre for Assistive Technology and Connected Healthcare.Rehabilitation and Assistive Technology.MRC Skills Development Fellowship Programme.
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