Big Data Innovation Metrics 
Dynatrace
FEBRUARY 16, 2023
How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.
Dynatrace
JANUARY 11, 2023
As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.
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Dynatrace
JULY 5, 2022
AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. But AIOps also improves metrics that matter to the bottom line. What is AIOps, and how does it work?
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.
Dynatrace
OCTOBER 14, 2021
Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” This means data sources typically come from disparate infrastructure monitoring tools and second-generation APM solutions.
The Netflix TechBlog
APRIL 29, 2019
One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.
The Netflix TechBlog
SEPTEMBER 10, 2019
ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Getting Data with the Metrics Repo 2. Not at Netflix.
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