5 Steps to Achieving the Single Pane of Glass Across DevOps -- APM, NPM, Metrics and Logs
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The document outlines five steps to achieve a unified monitoring solution, emphasizing data collection, trend identification, and predictive analysis to enhance operational efficiency. It highlights InfluxData's capabilities in managing time-series data for various companies, including Nordstrom and Coupa, to address challenges in data accessibility and management. The presentation also includes customer testimonials and encourages engagement with InfluxData's community for further inquiries.
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5 Steps to Achieving the Single Pane of Glass Across DevOps -- APM, NPM, Metrics and Logs
- 1. December 13, 2017 5 steps to achieving the single pane of glass
- 2. Š 2017 InfluxData. All rights reserved.2 Agenda â Overview of 5 steps â Why InfluxData â Customer examples â Questions & Answers
- 3. Š 2017 InfluxData. All rights reserved.3 Introduction Russ Savage, Product Manager Chris Churilo, Dir. Product Marketing
- 4. Š 2017 InfluxData. All rights reserved.4 At a glance Founded Mission Focus Difference Traction Business Model 2013 San Francisco Headquarters Be the Modern Engine for metrics and events Purpose built Time Series Data Platform Sensor, Infrastructure and Business Process Monitoring One foundation platform to monitor and control the physical and virtual world Purpose built, fastest time to awesome, real actions in real-time Clear leadership in the fastest growing segment of the database work ~110,000 unique active deployments, 365+ customers Including: IBM, Cisco, PayPal, SAP, Comcast, Tesla, and Siemens Open source distribution with closed source economics 12,116 Github stars
- 5. Š 2017 InfluxData. All rights reserved.5 Š 2017 InfluxData. All rights reserved.5 Three Massive Changes to the Technology Landscape
- 6. Š 2017 InfluxData. All rights reserved.6 Š 2017 InfluxData. All rights reserved.6 TRENDS 1 APPLICATIONS From Mono to Micro MicroservicesMonolithic Client/ Server N-Tier 2 3 INFRASTRUCTURE Mainframe to Containers DATA CAPTURE Explosion of IoT Sensors Mainframe Servers VMs Laptops Machines Wearables Containers Sensors
- 7. Š 2017 InfluxData. All rights reserved.7 Š 2017 InfluxData. All rights reserved.7 Challenges our customers continue to face ¨ Many monitoring solutions including multiple monitoring point solutions (system, app performance, & business process) ¨ Limitations of existing solutions ¨ Ability to create aggregation of visualizations ¨ Restrictive data retention policies ¨ Metrics are locked down ¨ Capacity planning is manual ¨ Collecting new metrics is time consuming
- 8. Š 2017 InfluxData. All rights reserved.8 Š 2017 InfluxData. All rights reserved.8 Collect Correlate & Triage Notify & Act Predict What if analysis Monitoring Maturing Model Identify Trends
- 9. Š 2017 InfluxData. All rights reserved.9 Š 2017 InfluxData. All rights reserved.9 ¨ Inventory what you are collecting today ¨ Why are you collecting data - understanding the goal ¨ How do you collect ¨ Known file locations or specialized agents ¨ Push vs Pull metric collection ¨ What are you missing 1 STEP 1: Collect the data
- 10. Š 2017 InfluxData. All rights reserved.10 Š 2017 InfluxData. All rights reserved.10 ¨ Data dimensionality: different frequencies, different time frames & different sources ¨ Established baselines for basic availability ¨ What are you missing? 2 STEP 2: Correlate and triage
- 11. Š 2017 InfluxData. All rights reserved.11 Š 2017 InfluxData. All rights reserved.11 ¨ Forecast based on historical data ¨ Establish thresholds for alerting ¨ Managing inventory - do you know what your safety levels are? 3 STEP 3: Identify trends
- 12. Š 2017 InfluxData. All rights reserved.12 Š 2017 InfluxData. All rights reserved.12 ¨ Manual ¨ Automate ¨ Faster 4 STEP 4: Notify and act
- 13. Š 2017 InfluxData. All rights reserved.13 Š 2017 InfluxData. All rights reserved.13 ¨ The nirvana of the DevOps world ¨ Optimal point to balance costs and availability 5 STEP 5: Predict (What if analysis)
- 14. How InfluxData can help
- 15. Š 2017 InfluxData. All rights reserved.15 Š 2017 InfluxData. All rights reserved.15 ⢠High volume of real-time writes ⢠Irregular (events) and regular (metrics) ⢠Retention policies New workload requirements ⢠Aggregation and summation time-based functions ⢠Large range scans of many records ⢠Ordering, ranking, and limiting Time-based queries ⢠Distributed by design ⢠Fast and consistent ⢠Always available Scalability and availability Introducing The Modern Engine for Metrics and Events
- 16. Š 2017 InfluxData. All rights reserved.16 Š 2017 InfluxData. All rights reserved.16
- 17. Š 2017 InfluxData. All rights reserved. Nordstrom, Inc. is an American chain of department stores. The company has 349 stores operating across North America. DEVOPS USE CASE: Nordstrom Why InfluxData: â Feature rich - It is fast, uses less space and has a rich retention policy capability â Full life-cycle management â easy to manage the full life-cycle of their time-series data â Support â Enterprise support Lisa Gao - Developer Manager at Nordstrom We use InfluxData company wide to gather operational metrics for the business. It is fast, requires minimal space, and has a rich retention policy capability. â
- 18. Š 2017 InfluxData. All rights reserved. Purpose built for the cloud, Coupa delivers the only spend management platform that unifies business processes across all the ways employees spend money. DEVOPS USE CASE: Coupa Why InfluxData â Multiple monitoring point solutions â Solutions with severe limitations (data not accessible, restrictive data retention policy, metrics locked in SaaS data store) â Collecting additional metrics was time consuming â Capacity planning & forecasting was manual and complex Sanket Naik - VP Cloud & Security at Coupa We process a high volume of transactions daily and are constantly looking to provide a near-100% uptime⌠when we looked at our monitoring landscape in 2016 we realized we needed to refactor our approach in order to meet the success criteria & deliver on ensuring customer success. â
- 19. Š 2017 InfluxData. All rights reserved. NewVoiceMedia is a Cloud based Contact Centre solution - Intelligently manage inbound or outbound communication across voice, email, chat, social media DEVOPS USE CASE: NewVoiceMedia Why InfluxData: â Support for high resolution data to support 99.999% guarantee â Full control over retention policies and rollups â Ability to collect data from any system - custom data from an app (in a plug and play fashion) or from legacy systems Jack Tench - Senior Software Engineer There was no way we could react to change with our existing solution. The only thing we could react to were customer complaints. â
- 20. Š 2017 InfluxData. All rights reserved.20 Š 2017 InfluxData. All rights reserved.20 Collect Correlate & Triage Notify & Act Predict What if analysis Monitoring Maturity Model Identify Trends
- 21. Š 2017 InfluxData. All rights reserved.21 Š 2017 InfluxData. All rights reserved.21 Questions?
- 22. Š 2017 InfluxData. All rights reserved.22 Next Steps Visit InfluxData.com Download the TICK Stack or try InfluxEnterprise Ask Questions on the community: community.influxdata.com