2023 Analytics Metrics Scalability 
Dynatrace
FEBRUARY 10, 2023
Moving to greater automation is a key goal for 2023, as organizations face economic uncertainty and need to stay innovative while remaining cost-efficient. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. We’ll post news here as it happens!
Dynatrace
NOVEMBER 20, 2023
At the AWS re:Invent 2023 conference, generative AI is a centerpiece. What’s more, in the McKinsey report “ The State of AI 2023 ,” 40% of respondents say their organizations will increase their overall AI investment because of advances in generative AI. Today’s IT organizations face unprecedented challenges. What is predictive AI?
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Dynatrace
FEBRUARY 15, 2023
Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Grail solves this scalability issue! You no longer need to split, distribute, or pre-aggregate your data.
Dynatrace
NOVEMBER 7, 2023
The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery. Automation, automation, automation. Better software, faster.
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. Grail is at the center of the Dynatrace open AI-powered platform. Seamless integration. Fast, precise answers.
Dynatrace
FEBRUARY 16, 2023
With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. You have to get automation and analytical capabilities.” We start with data types—logs, metrics, traces, routes. The benefits of the cloud are undeniable.
Dynatrace
FEBRUARY 15, 2023
Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability. App developers have the same limitless possibilities for creating customized analytics and integrations in any IT environment, whether in the cloud or on-premises.
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