Big Data, Database, Development and Latency - Technology Performance Pulse

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

Redis vs Memcached in 2024

Scalegrid

MARCH 28, 2024

However, its limited feature set compared to Redis might be a disadvantage for applications that require more advanced data structures and persistence. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Data transfer technology. 3d render.

Cache

Cache Storage Scalability Architecture

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage

Storage Systems Big Data Azure

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. Effortlessly optimize Azure database performance. Azure Batch. Azure Front Door.

Azure

Azure Cloud Big Data Virtualization

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. Ensuring Security and Compliance Securing a hybrid cloud necessitates defending infrastructure, applications, and data that span both on-premises and cloud services.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. on end-to-end latency) and less than 0.15% on throughput. ASPLOS’19.

Big Data

Big Data Cloud Performance Hardware

How LinkedIn Serves Over 4.8 Million Member Profiles per Second

InfoQ

JULY 3, 2023

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

Cache

Cache Latency Traffic Database

Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

JUNE 20, 2017

This enables customers to serve content to their end users with low latency, giving them the best application experience. In 2008, AWS opened a point of presence (PoP) in Hong Kong to enable customers to serve content to their end users with low latency. Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016.

AWS

AWS Logistics Cloud Social Media

DynamoDB for Location Data: Geospatial querying on DynamoDB datasets

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data

Big Data Mobile Latency Database

Fast key-value stores: an idea whose time has come and gone

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Why are developers using RInK systems as part of their design? Fetching too much data in a single query (i.e.,

Cache

Cache Latency Google Lambda

Introducing the AWS South America - All Things Distributed

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS

AWS Latency Storage Big Data

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. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Contact Info.

AWS

AWS Government Big Data Cloud

Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

JULY 13, 2010

Today, I am very proud to be a part of the Amazon Web Services team as we truly make HPC available as an on-demand commodity for every developer to use. There has been no easy way for developers to do this in Amazon EC2. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. HPC and Amazon EC2.

Cloud

Cloud AWS Automotive Latency

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. To get started using Spot or for more details visit the Amazon EC2 Spot Instance web page, the AWS developer blog , and the EC2 Release Notes. Contact Info.

AWS

AWS Storage Cloud Big Data

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. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases.

Big Data

Big Data Government Analytics Processing

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

DECEMBER 5, 2010

Low-latency query resolution The query resolution functionality of Route 53 is based on anycast, which will route the request automatically to the DNS server that is the closest. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. Driving down the cost of Big-Data analytics.

Cloud

Cloud Internet Internet AWS

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore.

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. Jurisdictions - Some customers face regulatory requirements regarding where data is stored.

AWS

AWS Cloud Latency Storage

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3.

Latency

Latency Storage Big Data Tuning

Optimizing data warehouse storage

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing.

Storage

Storage Latency Efficiency Data Engineering

Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

MAY 1, 2012

Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?

Analytics

Analytics Traffic Big Data Efficiency

Välkommen till Stockholm – An AWS Region is coming to the Nordics

All Things Distributed

APRIL 4, 2017

It will also give customers another region where they can store their data with the knowledge that it will not leave the EU unless they move it. This enables customers to serve content to their end users with low latency, giving them the best application experience. That’s 100% faster.

AWS

AWS Airlines Latency Games

5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. ETL is a product of the relational database era and it has not evolved much in last decade. There are several emerging data trends that will define the future of ETL in 2018. Machine learning meets data integration.

Big Data

Big Data Artificial Intelligence Storage Hardware

Choosing Consistency - All Things Distributed

All Things Distributed

FEBRUARY 24, 2010

Amazon SimpleDB has launched today with a new set of features giving the customer more control over which consistency and concurrency models to use in their database operations. These new features will make it easier to transition those applications to SimpleDB that are designed with traditional database tools in mind. Consistent Read.

AWS

AWS Latency Database Scalability

Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well.Â Where to go from here?

AWS

AWS Latency Programming Architecture

Technology Performance Pulse

In-Stream Big Data Processing

Redis vs Memcached in 2024

Trending Sources

What is a Distributed Storage System

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

Mastering Hybrid Cloud Strategy

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

How LinkedIn Serves Over 4.8 Million Member Profiles per Second

Expanding the Cloud – An AWS Region is coming to Hong Kong

DynamoDB for Location Data: Geospatial querying on DynamoDB datasets

Fast key-value stores: an idea whose time has come and gone

Introducing the AWS South America - All Things Distributed

The AWS GovCloud (US) Region - All Things Distributed

Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

Spot Instances - Increased Control - All Things Distributed

Data Movement in Netflix Studio via Data Mesh

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore.

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

Optimizing data warehouse storage

Probabilistic Data Structures for Web Analytics and Data Mining

Välkommen till Stockholm – An AWS Region is coming to the Nordics

5 data integration trends that will define the future of ETL in 2018

Choosing Consistency - All Things Distributed

Amazon EC2 Cluster GPU Instances - All Things Distributed

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