Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Monitoring the #DevOps way

6,606 views

Published on

Technology changes and process changes in how people build and manage Internet systems have driven a need for a new approach to monitoring. We talk about why, what and how.

Published in: Technology

Monitoring the #DevOps way

  1. 1. Welcome to the webinar! We’ll start in just a few minutes. Please submit all questions in the Chat panel. We’ll cover them at the end of the webinar. Theo Schlossnagle - @postwait
 Founder @Circonus Monitoring the #DevOps Way (and the future of monitoring)
  2. 2. Lorem Ipsum Dolor
  3. 3. DevOps So many definitions of DevOps… Applying software engineering practices to improve operations and infrastructure management. Spreading operational acumen through the organization (specifically into product engineering) https://www.flickr.com/photos/jamieanne/5744219523
  4. 4. The days of “is it up” are long over. Monitoring has changed Significant challenges in
 operability and accessibility
  5. 5. The days of “is it up” are long over. Monitoring has changed Significant challenges in
 operability and accessibility
  6. 6. The days of “is it up” are long over. Monitoring has changed Significant challenges in
 operability and accessibility
  7. 7. The days of “is it up” are long over. Monitoring has changed Significant challenges in
 operability and accessibility
  8. 8. The days of “is it up” are long over. Monitoring has changed Significant challenges in
 operability and accessibility
  9. 9. Managing risk and exploiting opportunity Operability Monitoring (data collection and analysis) is hard. Now add “always available” and “always immediate.” Many companies squander opportunity in engineering by building monitoring solutions instead of more direct market value. ALWAYS ON AND ALWAYS WORKING…
 EVEN WHEN YOU’RE INFRASTRUCTURE ISN’T https://www.flickr.com/photos/coastguardnews/2291992191 https://www.flickr.com/photos/ussnewyork/5403986347
  10. 10. Embracing today’s engineering organizations Accessibility If it isn’t accessible via an API, it isn’t accessible. Configuration, analysis, alerting, visualization…
 it all must be accessible or it simply won’t integrate. This is how engineers work. The dynamic nature of the the cloud forces your hand. used with permission from Stacey Mason @stcymsn
  11. 11. Looking for information in the data Millions of streams Is simply too much to look at We now must leveraging mathematics
 (e.g. statistics and machine learning)
 to surface interesting information https://www.flickr.com/photos/vickyb/493019855
  12. 12. Workloads and Latencies: histograms
  13. 13. Context is King
  14. 14. Solving this at scale Once you solve the scale problem,
 what are the opportunities? 1000 measurements / second? How about 1 million? or 1 billion? Imagine the insight. Now imagine the data science problems.
  15. 15. Workloads and Latencies: histograms
  16. 16. Workloads and Latencies: modality
  17. 17. Workloads and Latencies: quantiles
  18. 18. The future is a math problem High velocity, low latency, with big data… Highly challenging.

×