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X-WR-CALNAME:Salt Lake DevOps
X-ORIGINAL-URL:https://slcdevopsdays.org
X-WR-CALDESC:Events for Salt Lake DevOps
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TZID:-06:00
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DTSTART;TZID=-06:00:20230913T180000
DTEND;TZID=-06:00:20230913T190000
DTSTAMP:20260502T091554
CREATED:20221102T043026Z
LAST-MODIFIED:20230817T185501Z
UID:401-1694628000-1694631600@slcdevopsdays.org
SUMMARY:DevOps Tooling TBD
DESCRIPTION:DevOps Tooling TBD
URL:https://slcdevopsdays.org/event/devops-tooling-tbd-8/
LOCATION:Online event
ATTACH;FMTTYPE=image/jpeg:https://slcdevopsdays.org/wp-content/uploads/2022/11/1024x576-a3qLNg.tmp_.jpg
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BEGIN:VEVENT
DTSTART;TZID=-06:00:20230913T180000
DTEND;TZID=-06:00:20230913T190000
DTSTAMP:20260502T091554
CREATED:20230817T191038Z
LAST-MODIFIED:20230913T082524Z
UID:2489-1694628000-1694631600@slcdevopsdays.org
SUMMARY:Monitoring of Microservices with InfluxDB\, Jaeger\, Grafana\, and OpenTelemetry
DESCRIPTION:In today’s dynamic cloud landscape\, microservices have revolutionized the way we design\, build\, and scale applications. However\, this modular approach brings its own challenges\, primarily in the areas of monitoring and observability. This presentation will delve deep into how four industry-leading tools—InfluxDB\, Jaeger\, Grafana\, and OpenTelemetry—come together to provide a comprehensive monitoring solution for your microservices ecosystem. \nKey Points to be Covered: \n1. Microservices Monitoring Challenges: \n* The fragmented nature of microservices. \n* The need for real-time visibility. \n* Challenges in tracing requests across services. \n2. Introduction of the Monitoring Stack: \n* Overview of InfluxDB\, Jaeger\, Grafana\, and OpenTelemetry. \n* How they fit into the microservices architecture. \n3. OpenTelemetry: The Unified Observability Framework: \n* What is OpenTelemetry? \n* Its role in instrumenting applications. \n* Gathering and exporting telemetry data. \n4. Tracing with Jaeger: \n* Importance of distributed tracing. \n* How Jaeger visualizes trace data. \n* Integrating Jaeger with OpenTelemetry. \n5. InfluxDB: Storing Time-Series Data: \n* Introduction to InfluxDB as a time-series database. \n* Storing metrics and events from microservices. \n* Performance and scalability advantages. \n6. Visualizing Data with Grafana: \n* Creating insightful dashboards. \n* Integrating Grafana with InfluxDB and Jaeger. \n* Alerting and anomaly detection. \n7. Best Practices for Monitoring Microservices: \n* Combining metrics\, traces\, and logs. \n* Setting meaningful alerts. \n* Continuous improvement through observability. \nThis will be a virtual presentation via the zoom link below: \n**Agenda** \n6:00 – 6:10 PM Introductions and Announcements \n6:10 – 6:50 PM Presentation by Anais Dotis from Influx Data \n6:50 – 7:00 PM Q & A \nHere is the zoom link: \n**[https://zoom.us/j/98056432054](https://zoom.us/j/98056432054)**
URL:https://slcdevopsdays.org/event/devops-tooling-tbd-24/
LOCATION:Online event
ATTACH;FMTTYPE=image/jpeg:https://slcdevopsdays.org/wp-content/uploads/2023/08/1024x576-fOkuQx.tmp_.jpg
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