Big Data, Latency and Strategy - Technology Performance Pulse

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data

Big Data Processing Lambda Database

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

Distributed storage systems like HDFS distribute data across multiple servers or nodes, potentially spanning multiple data centers, focusing on partitioning, scalability, and high availability for structured and unstructured data. By implementing data replication strategies, distributed storage systems achieve greater.

Storage

Storage Systems Big Data Azure

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations. This approach has a handful of benefits.

Traffic

Traffic Latency Tuning Systems

Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. All three sampling strategies are heavily used at Microsoft. VLDB’19.

Big Data

Big Data Analytics Latency Azure

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. This is the number of failures that affect users’ ability to use an application by the total time in service.

Artificial Intelligence

Artificial Intelligence DevOps Hardware Virtualization

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

The Netflix TechBlog

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Big Data

Big Data Cache Engineering Data Engineering

Redis vs Memcached in 2024

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Elevate your cloud strategy today with ScaleGrid! <p>The Synchronization of personal information. </p>

Cache

Cache Storage Scalability Architecture

Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data

Big Data Government Analytics Processing

Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. Backfill: Backfilling datasets is a common operation in big data processing.

Processing

Processing Big Data Efficiency Engineering

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. See the health of your big data resources at a glance. Azure Front Door.

Azure

Azure Cloud Big Data Virtualization

Optimizing data warehouse storage

The Netflix TechBlog

DECEMBER 21, 2020

These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. File merging is necessary for a low latency streaming ingestion pipeline as data often arrive late and unevenly. Both automatic (event-driven) as well as manual (ad-hoc) optimization.

Storage

Storage Latency Efficiency Data Engineering

Allez, rendez-vous à Paris – An AWS Region is coming to France!

All Things Distributed

SEPTEMBER 29, 2016

Based in the Paris area, the region will provide even lower latency and will allow users who want to store their content in datacenters in France to easily do so. He has said, “By moving a large part of our IT system from our old IBM mainframe to AWS, we have adopted a cloud first strategy, boosting our power of innovation.

AWS

AWS IoT Internet Internet

The AWS GovCloud (US) Region - All Things Distributed

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. The US Federal Cloud Computing Strategy lays out a â??Cloud Government and Big Data. Cloud First. Cloud Firstâ?? With AWSâ??s

AWS

AWS Government Big Data Cloud

Spot Instances - Increased Control - All Things Distributed

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. By shifting the unit of capacity we are pricing against, customers bidding strategy will directly determine whether or not they are fulfilled.

AWS

AWS Storage Cloud Big Data

Technology Performance Pulse

Mastering Hybrid Cloud Strategy

In-Stream Big Data Processing

Trending Sources

What is a Distributed Storage System

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Experiences with approximating queries in Microsoft’s production big-data clusters

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

Redis vs Memcached in 2024

Data Movement in Netflix Studio via Data Mesh

Incremental Processing using Netflix Maestro and Apache Iceberg

No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Optimizing data warehouse storage

Allez, rendez-vous à Paris – An AWS Region is coming to France!

The AWS GovCloud (US) Region - All Things Distributed

Spot Instances - Increased Control - All Things Distributed

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