Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum features a cost-based query optimizer for large-scale, big data workloads.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

DECEMBER 8, 2016

Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Access to secure, scalable, low-cost AWS infrastructure in Canada allows customers to innovate and provide tools to meet privacy, sovereignty, and compliance requirements. Scalability.

AWS 155

AWS Cloud Lambda Innovation 155

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers 126

Servers Social Media AWS Website 126

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 is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models. Essent – supplies customers in the Benelux region with gas, electricity, heat and energy services.

Cloud 129

Cloud Energy AWS Healthcare 129

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Join us for 3 days in Nashville at LISA'18.

DevOps 43

DevOps Network Best Practices Programming 43

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. 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.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. “The weakness of a data lake is they fail when you need to access them fast,” Pawlowski said.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Join us for 3 days in Nashville at LISA'18.

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. and Engine Yard , Springsource users have CloudFoundry. Elastic Beanstalk makes it easy for developers to deploy and manage scalable and fault-tolerant applications on the AWS cloud. Driving Storage Costs Down for AWS Customers. Comments ().

AWS 115

AWS Cloud Java Operating System 115

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Science & Engineering. an engineering adventure to break the 1,000 mph barrier in a car. Driving Storage Costs Down for AWS Customers. Comments ().

AWS 67

AWS Cloud Benchmarking Storage 67

All Things Distributed

SEPTEMBER 30, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There is huge variety in exiting architectures and I am often impressed about the ingenuity of the engineers in how to best transform the application if "Lift & Shift" is not an option. Driving Storage Costs Down for AWS Customers. All Things Distributed.

AWS 75

AWS Storage Cloud Best Practices 75

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Computer Instances are similar to other Amazon EC2 instances but have been specifically engineered to provide high performance compute and networking. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). All Things Distributed. Comments ().

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Currently, each AWS Region contains multiple Availability Zones, which are distinct locations that are engineered to be insulated from failures in other Availability Zones. Driving Storage Costs Down for AWS Customers. All Things Distributed. Comments ().

AWS 61

AWS Cloud Latency Storage 61

Dynatrace

OCTOBER 4, 2022

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Dynatrace discovers logs automatically at scale.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. And while many of our systems are based on the latest in computer science research, this often hasnt been sufficient: our architects and engineers have had to advance research in directions that no academic had yet taken. All Things Distributed. Comments ().

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The scalability, reliability and durability requirements for Cloud Drive are very high which is why they decided to make use of the Amazon Simple Storage Service (S3) as the core component of their service. Driving Storage Costs Down for AWS Customers.

AWS 138

AWS Cloud Storage Internet 138

The Morning Paper

SEPTEMBER 19, 2019

AliGraph covers Alibaba’s distributed graph engine supporting the development of new GNN applications. Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Autoscaling tiered cloud storage in Anna. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This user-oriented nature had vast implications: The end user is often interested in aggregated reporting information, not in separate data items, and SQL pays a lot of attention to this aspect. 1) Denormalization.

Database 279

Database Ecommerce Efficiency Engineering 279

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. A third generation of APIs, however, left the graphics specifics interfaces behind and instead focused on exposing the pipeline as a generic highly parallel engine supporting task and data parallelism. Driving Storage Costs Down for AWS Customers.

AWS 136

AWS Latency Programming Architecture 136

ACM Sigarch

NOVEMBER 1, 2019

As is the case for many high-quality computer systems conferences, the papers presented here involve a significant amount of engineering and experimentation on real hardware to convincingly evaluate innovative concepts end-to-end in a realistic setting. ATC ’19 was refreshingly different. Heterogeneous ISA. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel. Processed 8.19

Database 40

Database Analytics Blockchain Healthcare 40