Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments.

Cloud 186

Cloud DevOps Open Source Retail 186

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features.

Cache 130

Cache Storage Scalability Architecture 130

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. Open source solutions are also making tracing harder.

Analytics 186

Analytics Innovation Metrics Database 186

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. it’s getting much more complex and expensive to process, store, and secure potentially sensitive data.

Cloud 104

Cloud Big Data Latency Architecture 104

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. This type of analysis is greatly eased by open source tools such RStudio, Jupyter, Zeppelin along with scripting languages R and Python.

Big Data 40

Big Data Retail Storage Google 40

Rigor

SEPTEMBER 11, 2019

Jake is a frequent speaker at many popular conferences and events, such as 100 Days of Google Dev , JAMstakConf , JSConf , SmashingConf , and dozens of others. Sergey is a principal engineer at Meetup and a well-known performance educator who regularly runs monthly hands-on Meet4SPEED events in New York City. Sergey Chernyshev.

Performance 89

Performance Education Google Website 89

The Netflix TechBlog

APRIL 29, 2019

We use and contribute to many open-source Python packages, some of which are mentioned below. We’ve had a number of successful Python open sources, including Security Monkey (our team’s most active open source project). Internally, we also built an event-driven platform that is fully written in Python.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

JULY 26, 2021

With this batch style approach, several issues have surfaced like data movement is tightly coupled with database tables, database schema is not an exact mapping of business data model, and data being stale given it is not real time etc. As of now, CDC sources have been implemented for data stores at Netflix (MySQL, Postgres).

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202