DZone
JULY 14, 2021
Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). Fei Xu (Software Engineer at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries.
The Netflix TechBlog
OCTOBER 28, 2021
Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi, what’s your journey to data engineering at Netflix?
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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.
Dynatrace
JANUARY 23, 2024
AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. What is explainable AI?
Dotcom-Montior
OCTOBER 6, 2021
A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.
Dynatrace
FEBRUARY 6, 2020
As “Customer 0”, her team requested several new core product capabilities such as log analytics , configuration APIs or better integration with incident notification services. They also saw that auto-remediation only works if the software has self-healing capabilities for situations that can’t and shouldn’t be fixed from outside the platform.
Dynatrace
APRIL 20, 2023
With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.
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