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

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on. The Limitations of Today’s Streaming Analytics. The following diagram illustrates a typical workflow.

IoT 78

IoT Analytics Big Data Architecture 78

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 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage 122

Storage Cloud AWS Media 122

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

DECEMBER 8, 2016

AWS data centers in Canada will draw from a regional electricity grid that is 99 percent powered by hydropower. It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions.

AWS 155

AWS Cloud Lambda Innovation 155

All Things Distributed

JUNE 26, 2016

Seamless ingestion of large volumes of sensed data. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. We want you to start using it today.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

JULY 7, 2011

AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. With this new functionality AWS Import/Export now supports importing data directly into Amazon EBS snapshots. Driving Storage Costs Down for AWS Customers. At werner.ly Syndication.

AWS 96

AWS Cloud Storage Internet 96

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. If you want to store time-expiring data that should be shared across application processes, used Memcached or Redis.

Cache 79

Cache Latency Google Lambda 79

The Morning Paper

SEPTEMBER 19, 2019

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. What if the network was no longer the bottleneck? Research papers. (In In random order!).

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

JULY 16, 2012

There are sessions in many different categories: Architecture, Big Data, HPC, Computer & Networking, Storage, Databases, Security, Tools & Languages, Media Sharing & Content Delivery, Managing AWS Resources, Enterprise IT, Mobile, Start-up, and more.

AWS 83

AWS Big Data Media Storage 83

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. With the launch of the Asia Pacific (Tokyo) Region, companies can now leverage the AWS suite of infrastructure web services directly connected to Japanese networks. At werner.ly

AWS 112

AWS Cloud Games Latency 112

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? And Hadoop rolled in. Until it wasn’t.

Hardware 99

Hardware Storage Big Data Blockchain 99

All Things Distributed

SEPTEMBER 6, 2013

These sensors create massive amounts of geological data. Shell leverages AWS for big data analytics to help achieve these goals. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

AUGUST 17, 2011

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. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

Servers 126

Servers Social Media AWS Website 126

Brendan Gregg

APRIL 30, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. We first met each other at LISA, in addition to making many other important industry connections over the years.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. We first met each other at LISA, in addition to making many other important industry connections over the years.

DevOps 40

DevOps Network Best Practices Programming 40

Testsigma

FEBRUARY 12, 2021

When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

The naming system that we are all most familiar with in the internet is the Domain Name System (DNS) that manages the naming of the many different entities in our global network; its most common use is to map a name to an IP address, but it also provides facilities for aliases, finding mail servers, managing security keys, and much more.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JANUARY 19, 2011

An Elastic Beanstalk container comprises an application software stack running on Amazon EC2 compute resources with an Elastic Load Balancer, pre-configured EC2 Auto-Scaling, monitoring with Amazon CloudWatch, the ability to store data in Amazon S3, and multiple database options. Driving Storage Costs Down for AWS Customers.

AWS 115

AWS Cloud Java Operating System 115

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

JANUARY 14, 2019

Public API as -a-service has become a good business model: examples include social networks like Facebook/Twitter, messaging as a service like Twilio, and even credit card authorization platforms like Marqeta. Loading the JSON data to Clickhouse. So can we use it as our main datastore? toDate(min(created_utc))???toDate(max(created_utc))??????count()??

Database 40

Database Analytics Blockchain Healthcare 40

The Agile Manager

FEBRUARY 27, 2012

The rise of Big Data - the ability to store and analyze large volumes of structured and unstructured, internal and external data - promises to let companies react more nimbly than ever before. A megabyte of cloud-based disk storage is no different from a kilowatt of electricity. Nor is cloud computing.

Ecommerce 45

Ecommerce Social Media Retail Airlines 45

All Things Distributed

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Comments ().

Storage 71

Storage Cloud AWS Scalability 71

All Things Distributed

APRIL 27, 2011

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. The storage systems weve pioneered demonstrate extreme scalability while maintaining tight control over performance, availability, and cost.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

DECEMBER 12, 2018

We launched Edge Network locations in Denmark, Finland, Norway, and Sweden. WirelessCar is also using a host of AWS security services to ensure that the data it collects for its customers is secure, and also that the services the company offers are reliable as well. They are primarily using the services for two main platforms.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

FEBRUARY 17, 2011

Since a few days ago this weblog serves 100% of its content directly out of the Amazon Simple Storage Service (S3) without the need for a web server to be involved. I have used a bucket policy to make all documents world readable, but you could create one that restricts it to referrers, network address range, time of day, etc.

AWS 134

AWS Website Storage Servers 134

All Things Distributed

DECEMBER 9, 2010

Amazon S3 has always been a scalable, durable and available data repository for almost any customer workload. This is especially true for customers managing HD video or data-intensive instruments such as genomic sequencers. By supporting such large object sizes, Amazon S3 better enables a variety of interesting big data use cases.

AWS 80

AWS Big Data Scalability Storage 80

All Things Distributed

NOVEMBER 15, 2010

Graphics processing is one such area with huge computational requirements, but where each of the tasks is relatively small and often a set of operations are performed on data in the form of a pipeline. Â The input data is often organized as a Grid. The different stages were then load balanced across the available units.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

FEBRUARY 24, 2010

If you need to achieve high-availability and scalable performance, you will need to resort to data replication techniques. For example updates to data now needs to happen in several locations, so what do you do if one or more of those locations is (temporarily) not accessible? Data Consistency Models in the Amazon Services.

AWS 69

AWS Latency Database Scalability 69