New Relic Infrastructure Intro: Increasing Mean Time Between Loss of Sleep [FutureStack16]
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The document discusses New Relic's infrastructure monitoring capabilities, emphasizing the importance of monitoring dynamic environments and the need for coordination in change and release management to prevent IT service outages. It details the data collection methods and features of New Relic's offering, including fine-grained change monitoring and resource optimization. Additionally, it highlights practical applications, incident resolution efficiency, and pricing structures for their services.
New Relic Infrastructure Intro: Increasing Mean Time Between Loss of Sleep [FutureStack16]
- 1. Increasing MTBLS With New Relic Jim Stoneham - VP Product Mikhail “Pancakes” Panchenko – Dir Engineering
- 2. This document and the information herein (including any information that may be incorporated by reference) is provided for informational purposes only and should not be construed as an offer, commitment, promise or obligation on behalf of New Relic, Inc. (“New Relic”) to sell securities or deliver any product, material, code, functionality, or other feature. Any information provided hereby is proprietary to New Relic and may not be replicated or disclosed without New Relic’s express written permission. Such information may contain forward-looking statements within the meaning of federal securities laws. Any statement that is not a historical fact or refers to expectations, projections, future plans, objectives, estimates, goals, or other characterizations of future events is a forward-looking statement. These forward-looking statements can often be identified as such because the context of the statement will include words such as “believes,” “anticipates,”, “expects” or words of similar import. Actual results may differ materially from those expressed in these forward-looking statements, which speak only as of the date hereof, and are subject to change at any time without notice. Existing and prospective investors, customers and other third parties transacting business with New Relic are cautioned not to place undue reliance on this forward-looking information. The achievement or success of the matters covered by such forward-looking statements are based on New Relic’s current assumptions, expectations, and beliefs and are subject to substantial risks, uncertainties, assumptions, and changes in circumstances that may cause the actual results, performance, or achievements to differ materially from those expressed or implied in any forward-looking statement. Further information on factors that could affect such forward-looking statements is included in the filings New Relic makes with the SEC from time to time. Copies of these documents may be obtained by visiting New Relic’s Investor Relations website at ir.newrelic.com or the SEC’s website at www.sec.gov. New Relic assumes no obligation and does not intend to update these forward-looking statements, except as required by law. New Relic makes no warranties, expressed or implied, in this document or otherwise, with respect to the information provided.
- 3. Dynamic full-stack monitoring for modern teams
- 4. 4Confidential ©2008-15 New Relic, Inc. All rights reserved. Meatballs Team
- 5. Focused on monitoring change Dynamic environments Agile / rapid deployment pipelines DevOps cultures with many hands on resources Increasing pace of vulnerabilities / exploits (AWS / cloud, Docker / containers)
- 6. "Gartner believes that more than 80% of all mission- critical IT service outages result from people and process errors and failures, and of those outages, more than 50% result from a lack of coordination between change, release and configuration management processes."
- 7. New Relic Infrastructure: key data we collect Highly granular metrics for host CPU, memory, disk, network, processes Changes made to packages, files, kernel, processes, user sessions Current live state of all resources
- 8. Organized like your infrastructure Define alerting and dashboards using your existing metadata Leverage EC2, Automation (Chef, Puppet, etc.), or custom tags Everything scales up and down based on your tags / metadata Supports cloud, hybrid datacenter / cloud, + traditional datacenters
- 9. Organized like your infrastructure
- 10. Increasing MTBLS: some examples Incident triage and resolution MTTD and MTTR reduction Fine-grained change monitoring Avoid downtime/incidents Global search Ops and InfoSec team efficiency Resource Optimization Save money (esp on AWS)
- 11. 11Confidential ©2008-15 New Relic, Inc. All rights reserved. Incident triage and resolution
- 15. Global search
- 16. 16Confidential ©2008-15 New Relic, Inc. All rights reserved. Resource optimization
- 17. Health metrics, plus full live state and change history Beyond your hosts: AWS Service integrations
- 18. ELB
- 19. CloudFront
- 20. RDS
- 21. 21 Full-stack visibility with New Relic Confidential ©2008-15 New Relic, Inc. All rights reserved. Are my apps available across all regions? Are my apps available across all regions? Are my critical transactions performing well? Are my critical transactions performing well? Is my supporting infrastructure available?
- 22. Al Kemner Principal Engineer Platform as a Service Gannett
- 23. Gannett / USA Today Network Gannett Co., Inc. is a next-generation media company committed to strengthening communities across our network. • 500+ digital products • 116 brands • 109 local markets • 114 Million unique visitors • Serves 1.8 Billion Monthly User Minutes • Reaches 45% of the US online internet population (age 18+)
- 24. Record traffic numbers across platforms Web Mobile web
- 25. - HTTP2 - Golang - Nodejs - Couchbase - Docker - Kubernetes Key technologies
- 27. Heavy use of filters for dynamic infrastructure
- 28. New Relic Infrastructure metrics in Insights
- 29. Capabilities ESSENTIALS PRO INFRASTRUCTURE KEY FEATURES Host Health Metrics (CPU, Load, Mem) √ √ Custom Metrics and Events √ √ Flexible Alerting √ √ Native AWS EC2 Tag support √ √ Docker Container Monitoring √ √ Real-time, searchable inventory √ √ Live-state config-change tracking √ √ Application metrics correlation √ √ Metrics and events available in Insights √ √ Months of data retention 3 13 AWS Service Monitoring √
- 30. VM OS / APP / NR VM PHYSICAL SERVERS EXAMPLE (PRO) 2 VMs = 2 Hosts t2.micro m3.medium AWS EC2 example (Pro) 2 Cloud Instances = 2 Hosts $14.40 $5.80 $1.80 $4.28 Pro: $1.80 - $14.40/host per month Essentials: $.90 - $7.20/host per month SPECIAL PROMOPRICING OS / APP / NR OS / APP / NR OS / APP / NR PRICING BASED ON SIZE OF COMPUTE RESOURCES
- 31. 3 1 Integral to the New Relic Digital Intelligence Platform Confidential ©2008-16 New Relic, Inc. All rights reserved.
- 32. Thank you. To learn more, attend the training session right after this! See the demo at the showcase and visit newrelic.com/infrastructure
Editor's Notes
- #2: Jim – MTBLS Pancakes - Flickr
- #3: Jim
- #4: Jim
- #5: Pancakes
- #6: Pancakes Yahoo servers/Flickr deploys Don’t count deploys now - The only constant is the ever-increasing rate of change
- #7: Jim – in fact, Gartner…
- #8: Pancakes – 3 key types of data
- #9: Pancakes – set it up like you set up your infrastructure
- #10: Pancakes – here’s the product – you’ll see metrics, change events, tag-based fiilters
- #11: Jim Broad set of ways to use A few examples
- #12: Pancakes
- #13: Pancakes
- #14: Pancakes
- #15: Jim
- #16: Pancakes
- #17: On top – CFO come down – too much money Where do you start? How will you now?
- #18: Pancakes
- #19: Pancakes
- #20: Pancakes
- #21: Pancakes
- #22: Pancakes, then Jim to intro Al
- #23: Jim Intro Al
- #24: Al
- #25: Al
- #26: Al
- #27: Al
- #28: Al
- #29: Al
- #30: Jim
- #31: Jim
- #32: Jim
- #33: Pancakes