This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Who better to offer some clarity than Gene Kim , former founder and CTO of Tripwire and DevOps enthusiast, who has written multiple books on the subject, including The DevOps Handbook and The Phoenix Project ? Kim joined us at Perform 2021, where he offered his own unique take and insight into DevOps from a career spanning 22 years.
Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Example 1: Architecture boundaries.
Eight years ago I wrote _Systems Performance: Enterprise and the Cloud_ (aka the "sysperf" book) on the performance of computing systems, and this year I'm excited to be releasing the second edition. A year ago I announced [BPF Performance Tools: Linux System and Application Observability]. Which book should you buy?
Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. However, turning those logs into meaningful insights requires a data lakehouse.
As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. With saturation, we try to measure overall system utilization, which you can obtain from host metrics such as CPU and memory usage. Reliability.
Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. Make SLOs realistic.
Eight years ago I wrote _Systems Performance: Enterprise and the Cloud_ (aka the "sysperf" book) on the performance of computing systems, and this year I'm excited to be releasing the second edition. A year ago I announced [BPF Performance Tools: Linux System and Application Observability]. It's already listed on Amazon.com.
Eight years ago I wrote _Systems Performance: Enterprise and the Cloud_ (aka the "sysperf" book) on the performance of computing systems, and this year I'm excited to be releasing the second edition. A year ago I announced [BPF Performance Tools: Linux System and Application Observability]. It's already listed on Amazon.com.
Episode 15: Adrian Cockcroft, VP of Cloud Architecture Strategy, Amazon Web Services. In this episode, Mik and Justin discuss redesigning software systems around flow, leading indicators to track and improve lagging measures, economies of flow, and respecting the laws of physics when accelerating flow across value streams.
Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The most typical use cases for this problem are recommender systems, personalized search results ranking, and targeted ads.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content