Analytics Big Data Infrastructure Innovation 
Dynatrace
FEBRUARY 16, 2023
As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Logs on Grail Log data is foundational for any IT analytics.
Dynatrace
OCTOBER 4, 2022
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.
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Dynatrace
JUNE 26, 2023
In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.
DZone
AUGUST 23, 2023
In the era of big data, efficient data management and query performance are critical for organizations that want to get the best operational performance from their data investments.
Scalegrid
MARCH 14, 2024
This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Within the hybrid framework, this involves determining optimal locations for various categories of applications and data.
The Netflix TechBlog
OCTOBER 28, 2021
Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.
Dynatrace
OCTOBER 25, 2022
The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. DevOps requires infrastructure experts and software experts to work hand in hand. At this juncture, it would be useful to revisit NoOps.
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