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 171

Engineering Tuning Latency Open Source 171

Dynatrace

FEBRUARY 24, 2021

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. Reduced latency. SRE as an application of DevOps.

DevOps 183

DevOps Software Engineering Speed Google 183

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.

DevOps 187

DevOps Best Practices Innovation Strategy 187

The Morning Paper

MARCH 3, 2020

The core algorithms (chain-replication, Paxos-based consensus) aren’t the stars of the show here, instead the paper focuses on how these algorithms are deployed, and the software engineering practices behind the creation of a mission-critical production system employing them. A guiding principle. Cells have seven nodes.

Database 106

Database AWS Network Design 106

Abhishek Tiwari

NOVEMBER 3, 2018

Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery.

Systems 63

Systems Cache Website Network 63

The Netflix TechBlog

NOVEMBER 3, 2022

In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. We started seeing increased response latencies and leader servers running at dangerously high utilization.

Cache 224

Cache Latency Traffic Systems 224

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