Big Data, Latency, Performance and Scalability - 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

Kubernetes for Big Data Workloads

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Performance.

Big Data

Big Data Storage Benchmarking Hardware

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

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. These include Quality-of-Experience(QoE) measurements at the customer device level, Service-Level-Agreements (SLAs), and business-level Key-Performance-Indicators(KPIs).

Traffic

Traffic Latency Tuning Systems

Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency

Latency Hardware Cache Architecture

The Need for Real-Time Device Tracking

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT

IoT Analytics Big Data Architecture

How LinkedIn Serves Over 4.8 Million Member Profiles per Second

InfoQ

JULY 3, 2023

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

Cache

Cache Latency Traffic Database

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. By implementing data replication strategies, distributed storage systems achieve greater.

Storage

Storage Systems Big Data Azure

Introducing the AWS South America - All Things Distributed

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. Additionally, it allows them to keep their data inside of Brazil. All Things Distributed.

AWS

AWS Latency Storage Big Data

Redis vs Memcached in 2024

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Managed DBaaS solutions like ScaleGrid.io

Cache

Cache Storage Scalability Architecture

Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Almost immediately after the launch of Amazon EC2, our customers started to use it for High Performance Computing.

Cloud

Cloud AWS Automotive Latency

Expanding the Cloud - New AWS Region: US-West (Northern.

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

AWS

AWS Cloud Latency Storage

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

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. This achieves very low-latency for queries which is crucial for the overall performance of internet applications.

Cloud

Cloud Internet Internet AWS

QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence

Artificial Intelligence Big Data Data Engineering Latency

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. A hybrid cloud strategy could be your answer.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

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

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. 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. Comments ().

AWS

AWS Cloud Latency Storage

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

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency

Latency Storage Big Data Tuning

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

Optimizing data warehouse storage

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage

Storage Latency Efficiency Data Engineering

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

The Morning Paper

JUNE 23, 2019

I say go ahead and use local state as a performance boost, so long as you’re fine to have that state wiped out at any moment. A high CPU cost due to marshalling data to/from the RInK store formats to the application data format. We’ve seen similar high marshalling overheads in big data systems too.) Who knew! ;).

Cache

Cache Latency Google Lambda

Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. This incredible power is available for anyone to use in the usual pay-as-you-go model, removing the investment barrier that has kept many organizations from adopting GPUs for their workloads even though they knew there would be significant performance benefit.

AWS

AWS Latency Programming Architecture

Choosing Consistency - All Things Distributed

All Things Distributed

FEBRUARY 24, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are many factors that come into play when you need to meet stringent availability and performance requirements under ultra-scalable conditions. All Things Distributed. Choosing Consistency. By Werner Vogels on 24 February 2010 07:00 AM. Comments ().

AWS

AWS Latency Database Scalability

Technology Performance Pulse

In-Stream Big Data Processing

Kubernetes for Big Data Workloads

Trending Sources

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

Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

The Need for Real-Time Device Tracking

How LinkedIn Serves Over 4.8 Million Member Profiles per Second

What is a Distributed Storage System

Introducing the AWS South America - All Things Distributed

Redis vs Memcached in 2024

Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

Expanding the Cloud - New AWS Region: US-West (Northern.

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

QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

Mastering Hybrid Cloud Strategy

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

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

Incremental Processing using Netflix Maestro and Apache Iceberg

Optimizing data warehouse storage

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

Amazon EC2 Cluster GPU Instances - All Things Distributed

Choosing Consistency - All Things Distributed

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