Analysis Big Data Monitoring Tuning 
Dynatrace
APRIL 20, 2023
Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Seamless integration.
Dynatrace
JULY 6, 2022
Monitoring and logging are fundamental building blocks of observability. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming. AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it.
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The Netflix TechBlog
MAY 4, 2023
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.
Dynatrace
MARCH 11, 2021
I took a big-data-analysis approach, which started with another problem visualization. I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. To achieve that I took two approaches: Visualizing historic problem data via a “Swimlane Visualization”.
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. But logs are just one pillar of the observability triumvirate.
The Netflix TechBlog
JUNE 7, 2021
The attributed flow data drives various use cases within Netflix like network monitoring and network usage forecasting available via Lumen dashboards and machine learning based network segmentation. The data is also used by security and other partner teams for insight and incident analysis.
Dynatrace
SEPTEMBER 15, 2020
If you want to see a more hands-on approach, I encourage you to watch the recording as Stefano did a live demo of Akamas’s integration with Dynatrace, showing how to minimize the footprint of a Java application with automated JVM tuning. Akamas also enables you to automate the analysis of the experiment metrics in powerful ways.
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