Remove Event Remove Software Remove Software Engineering
article thumbnail

5 powerful use cases beyond debugging for Dynatrace Live Debugger

Dynatrace

Performance benchmarking Performance benchmarking is one of the unresolved mysteries of software engineering. Or maybe you want to correlate an event with other events in your system. Modern software practices are notorious for making code extremely hard to debug. Sometimes, you need heavyweight tools.

article thumbnail

Podcast: Interview with Software Engineering Daily

Sutter's Mill

Also in April, I was interviewed by Jordi Mon Companys for Software Engineering Daily, and that interview was just published on the SE Daily podcast. government recently released a report calling on the technical community to proactively reduce the attack surface area of software infrastructure.

Insiders

Sign Up for our Newsletter

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

article thumbnail

How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Dynatrace Davis AI identifies the problem and maps the configuration change event to the root cause and the correct entity.

DevOps 306
article thumbnail

SRE vs DevOps: What you need to know

Dynatrace

The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. Dynatrace news. That’s where SRE comes in. SRE vs DevOps?

DevOps 268
article thumbnail

Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

article thumbnail

Title Launch Observability at Netflix Scale

The Netflix TechBlog

In order to allow for this mimicking, many systems implement an event handling, where they convert our request into a call to the real service with properties enabled to log when titles are filtered out of their response and why.

Traffic 172
article thumbnail

Automated observability, security, and reliability at scale

Dynatrace

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.