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. is a software company providing unified business communications solutions for call centers, including real-time reporting and analytics.

Scalability 100

Scalability Cache Analytics AWS 100

Dynatrace

DECEMBER 21, 2023

Implement appropriate caching layers (for example, read-only cache for static data). For a deeper look into these and many other recommendations, my colleagues and I wrote an eBook about performance and scalability on the topic. Reduce inter-process communications overhead. Implement intelligent retry and failover processes.

Cloud 264

Cloud Energy Best Practices Cache 264

The Netflix TechBlog

OCTOBER 8, 2024

The Key-Value Abstraction offers a flexible, scalable solution for storing and accessing structured key-value data, while the Data Gateway Platform provides essential infrastructure for protecting, configuring, and deploying the data tier. We do not use it for metrics, histograms, timers, or any such near-real time analytics use case.

Latency 239

Latency Storage Traffic Tuning 239

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 166

Database AWS Games Latency 166

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. Organic scalability of the monitoring platform with the applications. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

Dynatrace

NOVEMBER 3, 2021

Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization. DevOps practitioners struggle to maintain highly available and scalable applications. Experienced database administrators learn to spot patterns that can lead to common problems.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Cache all the things. Cache all the things. VLDB’19. are divided. Making Procella fast.

Analytics 75

Analytics Latency Cache Google 75

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 Architecture Scalability 130

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier.

Cloud 103

Cloud Cache AWS Storage 103

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. REDIS for caching. 3 Log Analytics. If you want to learn more about log analytics, check out my YouTube tutorial on Log Analytics and look out for our product team’s blog on log analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Scalegrid

JANUARY 21, 2025

To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Scalegrid

MAY 11, 2024

WiredTiger is a good all-purpose engine while In-Memory is better for specific use cases such as real-time analytics. It uses a filesystem cache and write-ahead log for crash recovery. MongoDB makes use of both the filesystem cache and the WiredTiger internal cache. released in December 2015.

Storage 130

Storage Engineering Cache Database 130

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.

Database 156

Database Lambda AWS IoT 156

Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs.

Monitoring 117

Monitoring Scalability Database Cache 117

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

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. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. There are two main types of DNS servers: authoritative servers and caching resolvers.

Cloud 111

Cloud Internet Internet AWS 111

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The storage systems weve pioneered demonstrate extreme scalability while maintaining tight control over performance, availability, and cost. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

Technology 127

Technology Technology AWS Storage 127

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. If you have a largely static site you can rely on the enormous power of S3 to make serving your content highly scalable and storing it extremely durable. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use.

Servers 109

Servers Social Media AWS Website 109

ScaleOut Software

MAY 15, 2014

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. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …). Please retry later.

Cache 40

Cache Servers Network Design 40

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

DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging. It’s an open source distributed NoSQL database that offers high scalability and availability. Do it without licensing costs and vendor lock-in.

Open Source 98

Open Source Database Scalability Software 98

HammerDB

JUNE 27, 2022

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. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

All Things Distributed

NOVEMBER 21, 2017

Redis's microsecond latency has made it a de facto choice for caching. Its support for advanced data structures (for example, lists, sets, and sorted sets) also enables a variety of in-memory use cases such as leaderboards, in-memory analytics, messaging, and more. TB of in-memory capacity in a single cluster.

Games 96

Games Retail Latency Education 96

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. We realized that we needed to consider a more global and scalable solution to better serve our global audience.

Performance 78

Performance Cache Traffic Metrics 78

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Highly Scalable

AUGUST 20, 2013

In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance.

Big Data 154

Big Data Processing Lambda Database 154

Rigor

SEPTEMBER 3, 2019

RUM or analytics data (funnel analysis) can help you determine the user flows that drive the majority of your business and that will be most critical on high-load days. Traffic patterns outside of normal [RUM or Analytics]. Drop in cart completions, increase in abandonment or other key conversion events [RUM or Analytics].

Website 74

Website Cache Traffic Ecommerce 74

Official Blog - World Web Technology

MARCH 4, 2024

WordPress VIP is a comprehensive WordPress development service for organizations requiring top-notch performance and a scalable and secure website platform. Performance scalability: Using WordPress VIP, users can handle significant traffic and sudden visitor spikes. Key Features of WordPress VIP! WordPress VIP boosts customization.

Website 59

Website Development Education Traffic 59

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. Using JAMstack delivers better performance, higher scalability with less cost, and overall a better developer experience as well as user experience.

Systems 63

Systems Cache Website Network 63

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. A key challenge in using an IMDG as part of a cloud-hosted application is to easily deploy, access, and manage the IMDG.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. A key challenge in using an IMDG as part of a cloud-hosted application is to easily deploy, access, and manage the IMDG.

Cloud 40

Cloud Azure Virtualization Scalability 40

The Morning Paper

SEPTEMBER 19, 2019

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. Unifying consensus and atomic commit looks at the advantages of combining scalability (consensus) and fault-tolerant mechanisms into one unified protocol.

Blockchain 46

Blockchain Hardware Google Speed 46