All Things Distributed

MARCH 2, 2011

Expanding the Cloud - Introducing the AWS Asia Pacific (Tokyo) Region. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. A local AWS Region enables companies to deploy a global cloud platform for their operations.

AWS 112

AWS Cloud Games Latency 112

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

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Unlocking the benefits of the cloud for the HPC community. Expanding the Cloud - The AWS Storage Gateway. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

Expanding the Cloud with DNS - Introducing Amazon Route 53. Amazon Route 53 sets itself apart from other DNS services that are being offered in several ways: A familiar cloud business model : A complete self-service environment with no sales people in the loop. Expanding the Cloud - The AWS Storage Gateway. Comments ().

Cloud 117

Cloud Internet Internet AWS 117

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

All Things Distributed

DECEMBER 3, 2009

Expanding the Cloud - New AWS Region: US-West (Northern California). This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Expanding the Cloud - The AWS Storage Gateway. Expanding the Cloud â?? Driving down the cost of Big-Data analytics.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

DECEMBER 14, 2011

Expanding the Cloud â?? 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. Expanding the Cloud - The AWS Storage Gateway. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

APRIL 28, 2010

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore) Region. Quite often "The Cloud" is portrayed as something magically transparent that lives somewhere in the internet. This portrayal can be a desirable and useful abstraction when discussing cloud services at the application and end-user level. Comments ().

AWS 61

AWS Cloud Latency Storage 61

All Things Distributed

AUGUST 16, 2011

Expanding the Cloud - The AWS GovCloud (US) Region. This new region, which is located on the West Coast of the US, helps US government agencies and contractors move more of their workloads to the cloud by implementing a number of US government-specific regulatory requirements. Cloud First. Cloud Firstâ?? Comments ().

AWS 111

AWS Government Big Data Cloud 111

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Managed Database-as-a-Service (DBaaS) solutions like ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

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 130

Storage Systems Big Data Azure 130

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. Expanding the Cloud - The AWS Storage Gateway. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. APAC Summer Tour.

AWS 85

AWS Storage Cloud Big Data 85

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure. Why would this be the case?

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

NOVEMBER 19, 2010

Here are some the links I shared this week on twitter and facebook : Cloud Computing. There were blog posts by Jeff Barr The Cluster GPU Instance and James Hamilton HPC in the Cloud with GPGPUs , as well as my background posting: Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances.

AWS 67

AWS Cloud Benchmarking Storage 67

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases.

Metrics 171

Metrics Monitoring Database Network 171

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. The popularity of MongoDB MongoDB has emerged as a popular database platform. 5 among all database management systems and No. It ranks No.

Open Source 75

Open Source Database Scalability Software 75

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Experienced database administrators learn to spot patterns that can lead to common problems. An application may depend on multiple services, each with its own set of metrics and logs.

Monitoring 220

Monitoring Metrics DevOps Scalability 220

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

Dotcom-Montior

MAY 12, 2020

Network latency. Database connectivity. Network Latency. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored. Network latency can be affected due to. Database Connectivity.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. While OpenTelemetry does not provide analytics, a backend or a UI, it defines a format and provides exporters to send the collected telemetry data to third-party systems like Dynatrace.

Open Source 199

Open Source Monitoring Google Systems 199

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? This also includes latency, or the time it takes for data or a request to get through a network.

Systems 74

Systems Monitoring Hardware Network 74

n0derunner

SEPTEMBER 17, 2018

It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. A particular problem occurs when a reporting / analytical workload shares storage with a transactional workload. The key thing to observe is the impact on the latency sensitive (OLTP) workload. 10 Outstanding IOs.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. For example, the most fundamental abstraction trade-off has always been latency versus throughput. The throughput of this pipeline is more important than the latency of the individual operations. Expanding the Cloud â?? Comments ().

AWS 136

AWS Latency Programming Architecture 136

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 69

AWS Latency Database Scalability 69

The Morning Paper

SEPTEMBER 12, 2019

Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., Machine learning inside a relational database has been done before, most notably in the form of MADlib , which was integrated into Greenplum during my time at Pivotal. VLDB’19.

Network 44

Network Database Programming Hardware 44

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. A key aspect of event-driven data flow architecture is support for microservices architecture and more specifically database per service pattern.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. We usually relate SQL to querying tables in relational databases. Apache Kafka is currently the leading project in this area.

Architecture 80

Architecture Scalability Google Operating System 80

Alex Russell

MARCH 6, 2021

A silver lining on this dark cloud is that mobile JavaScript payload growth paused in 2020. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. Network progress has been astonishing, particularly channel capacity (bandwidth).

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. You can then mimic the 90th percentile’s experience for testing.

Performance 104

Performance Cache Network Metrics 104