Dynatrace

MAY 23, 2024

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.

Engineering 189

Engineering Tuning Latency Open Source 189

The Morning Paper

JULY 7, 2019

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.

Software Engineering 92

Software Engineering Engineering Software Software 92

Dynatrace

JULY 18, 2023

To handle this challenge, enterprises need to automate and streamline the onboarding and lifecycle of tool configurations in the software development processes, including aspects of observability, security, alerting, and remediation. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project.

Best Practices 198

Best Practices Code Infrastructure Latency 198

The Netflix TechBlog

MAY 14, 2021

We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases. Even though Cosmos was developed for asynchronous media processing, we worked with them to expand to generic file processing and tune their workflow platform for our near real-time use case.

Traffic 160

Traffic Latency Java Google 160

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand. Enter Google!

Network 92

Network Transportation Latency Entertainment 92

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, in various use cases.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

FEBRUARY 9, 2021

Stay tuned for more details on this, as well as more details on the internals of the new SKU Platform in one of our upcoming blog posts. It also means fewer engineering teams are required to support initiatives in this space. Lower latency as a result of fewer service calls, which means fewer errors for our visitors.

Engineering 142

Engineering Scalability Architecture Innovation 142