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. Recovery time of the throughput metric.

article thumbnail

Auto-adaptive thresholds for AI-driven quality gating

Dynatrace

Build an umbrella for Development and Operations In modern software engineering, the discipline of platform engineering delivers DevSecOps practices to developers to bridge the gaps between development, security, and operations and enhance the developer experience. However, other data formats, like logs, can also be employed.

Metrics 222
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

Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

article thumbnail

Key Application Performance Metrics From the Viewpoint of a Statistician-Turned-Developer

DZone

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Your job is done, right? Without application performance monitoring in place, you can’t accurately determine how well things are going. Are people using your app?

Metrics 246
article thumbnail

Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Having a suite of tools that can provide summarized metrics for these streaming sessions is critical to the success of Netflix AV1 streaming. Stay tuned! Another exciting direction we are exploring is AV1 with HDR.

Media 246
article thumbnail

Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 177
article thumbnail

OTel contributor Q&A: Dynatrace works to ensure enterprise readiness for OpenTelemetry

Dynatrace

With the arrival of this release candidate (RC), the community’s focus now shifts to providing tracing RC component releases, as well as producing a metrics specification RC. My name is Armin Ruech, I’m a Software Engineer at Dynatrace and I started as a software developer around 3.5 Stay tuned, there’s more to come!