ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Streamlined asset caching: Asset caching is critical for creating accurate replays. Develop a broad recording strategy.

Mobile 251

Mobile Website Analytics Cache 251

Brendan Gregg

APRIL 14, 2022

I developed the original JVM changes to allow [mixed-mode flame graphs], I pioneered using [eBPF for observability] and helped develop the [front-ends and tools], and I worked with Amazon to get [PMCs enabled] and developed tools to use them. I could help not only Netflix but all customers of the cloud. Thank you.

Java 145

Java Cloud Cache AWS 145

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. What we need though is data that is automatically connected with context for k8s administrators, architects and developers to better understand what is going in the part of k8s that’s relevant to them and how does it impact those parts that are relevant for their colleagues. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

HammerDB

JUNE 27, 2022

Why HammerDB was developed. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. HammerDB development. Usage and industry adoption. Derived Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Many of our customers share my excitement: Interactive Intelligence, Inc.

Scalability 130

Scalability Analytics Cache AWS 130

Smashing Magazine

SEPTEMBER 20, 2021

We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services. Search Engine And Web Archive Cached Results.

Website 89

Website Analytics Google Cache 89

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Percona

JULY 17, 2023

Developers and DBAs like MongoDB’s ease-of-use. DBAs and developers appreciate its combination of flexibility, scalability, and performance. DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging.

Open Source 73

Open Source Database Scalability Software 73

All Things Distributed

JUNE 21, 2018

The answer for me is simple: Developers want their applications to be well architected and scale effectively. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases. The opposite is true.

Database 167

Database AWS Games Latency 167

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Being able to see the code in action ensures developers can identify any code issues in early phases and innovate faster (fail early, fail often).

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

Brendan Gregg

APRIL 14, 2022

I developed the original JVM changes to allow mixed-mode flame graphs , I pioneered using eBPF for observability and helped develop the front-ends and tools , and I worked with Amazon to get PMCs enabled and developed tools to use them. I could help not only Netflix but all customers of the cloud. Thank you.

Java 52

Java Cache Cloud AWS 52

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. Elevate your MariaDB environment with Percona Support for MariaDB.

Open Source 52

Open Source Servers Storage Scalability 52

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. blog comments powered by Disqus.

Cloud 117

Cloud Cache AWS Storage 117

Smashing Magazine

MAY 17, 2021

When paired with VS Code the development experience is amazing. Lighthouse also caught a cache misconfiguration that prevented some of our static assets from being served from our CDN. We are hosted on Google Cloud Platform, and the Google Cloud CDN requires that the Cache-Control header contains “public”. It wasn’t enough.

Google 93

Google Analytics Serverless Metrics 93

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

Smashing Magazine

NOVEMBER 2, 2021

Cost-Efficient And Effort-Saving Development. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Not to mention that it becomes easier and faster to implement changes in a decoupled store from the development perspective. “Is Large preview ).

Code 74

Code Cache Retail Mobile 74

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Unfortunately, due to the lack of a good developer experience (DX) total cost of ownership of a traditional CMS and implementation failure rate remains all-time high.

Systems 63

Systems Cache Website Network 63

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

APRIL 27, 2011

In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. To meet these demanding and unusual requirements, weve developed several alternative, purpose-built persistence solutions, including our own key-value store and single table store. Comments (). At werner.ly

Technology 151

Technology Technology AWS Storage 151

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. Cactus is a static website generator developed by Koen Bok of Made By Sofa (recently acquired by Facebook ). Driving Storage Costs Down for AWS Customers.

Servers 126

Servers Social Media AWS Website 126

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Meanwhile, developer behaviour offers little hope: Median mobile JavaScript payloads have only grown since 2016, now hovering above 400KiB of script transferred, or nearly 2.5MiB of uncompressed JS.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 6, 2020

In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Establish a performance culture. thanks, Guy Podjarny!

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 15, 2019

As web developers, it’s understandable to feel that this is not an issue over which we have any influence, but this isn’t true. So, apart from powering servers with renewable energy, what else can web developers do about climate change? All of the major browsers provide developer tools that allow us to measure network activity.

Website Performance 73

Website Performance Website Energy Performance 73

The Morning Paper

SEPTEMBER 19, 2019

AliGraph covers Alibaba’s distributed graph engine supporting the development of new GNN applications. Autoscaling tiered cloud storage in Anna. Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE.

Blockchain 46

Blockchain Hardware Google Analytics 46

Smashing Magazine

JANUARY 7, 2019

In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. To get accurate results and goals though, first study your analytics to see what your users are on. Establish a performance culture. Setting Realistic Goals.

Performance 104

Performance Cache Network Metrics 104

All Things Distributed

DECEMBER 5, 2010

There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Caching techniques ensure that the DNS system doesnt get overloaded with queries. blog comments powered by Disqus.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JANUARY 18, 2012

s Dynamo technology , which was one of the first non-relational databases developed at Amazon. With Amazon DynamoDB, developers scaling cloud-based applications can start small with just the capacity they need and then increase the request capacity of a given table as their app grows in popularity. History of NoSQL at Amazon â??

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154