Architecture Engineering Retail Storage 
Dynatrace
JANUARY 16, 2023
Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.
Smashing Magazine
NOVEMBER 2, 2021
Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. Following from the above, an undeniable strength of PWAs, when compared to native applications, is that their pages are findable via search engines. Numerous big players have considered such an opinion and have recently implemented this technology.
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Abhishek Tiwari
DECEMBER 22, 2017
Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. More importantly, ELT architecture is stateless and elastic because compute and storage layers are decoupled and they can scale independently.
Dynatrace
APRIL 20, 2023
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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.
All Things Distributed
SEPTEMBER 6, 2013
Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.
Scalegrid
MAY 13, 2020
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
ACM Sigarch
DECEMBER 6, 2018
cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. interactive AR/VR, gaming and critical decision making).
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