Architecture Big Data Metrics Tuning 
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.
The Netflix TechBlog
JANUARY 13, 2022
The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into failures periodically. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.
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The Netflix TechBlog
JUNE 7, 2021
By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?
The Netflix TechBlog
OCTOBER 15, 2019
In Netflix the microservice architecture is widely adopted and each microservice typically handles only one type of data. The core movie data resides in a microservice called Movie Service, and related data such as movie deals, talents, vendors and so on are managed by multiple other microservices (e.g Please stay tuned.
Rigor
JANUARY 13, 2020
Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. How to pioneer new metrics and create a culture of performance. Information Architecture. Web Performance Tuning.
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
APRIL 20, 2023
Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Seamless integration. ” Watch session now!
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