Remove Best Practices Remove Software Remove Software Engineering Remove Strategy
article thumbnail

Our First Netflix Data Engineering Summit

The Netflix TechBlog

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

article thumbnail

The State of DevOps Automation assessment: How automated are you?

Dynatrace

It addresses the extent to which an organization prioritizes automation efforts, including budgets, ROI models, standardized best practices, and more. Operations automation: The operations section addresses the level of automation organizations use in maintaining and managing existing software.

DevOps 191
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation. Site reliability engineers, or SREs, lead these efforts.

DevOps 203
article thumbnail

SRE vs DevOps: What you need to know

Dynatrace

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is best thought of as a practical approach to speeding up new software development and delivery.

DevOps 191
article thumbnail

Scaling Appsec at Netflix (Part 2)

The Netflix TechBlog

By Astha Singhal , Lakshmi Sudheer , Julia Knecht The Application Security teams at Netflix are responsible for securing the software footprint that we create to run the Netflix product, the Netflix studio, and the business. Our customers are product and engineering teams at Netflix that build these software services and platforms.

article thumbnail

Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done.

article thumbnail

Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. How can organizations use AI observability to optimize AI costs?