High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. Again Yugabyte latency is quite high. Author & founder of BangDB.

Benchmarking 308

Benchmarking Latency C++ Database 308

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

High Scalability

JANUARY 11, 2022

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Introduction of clustered collections for optimized analytical queries. Ready to supercharge your MongoDB experience?

Best Practices 88

Best Practices Hardware Tuning Scalability 88

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. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Some of the common supported data reprocessing use cases are listed below. But to build the data facts, we need the complete data set in the iceberg and not just the new.

Media 237

Media Traffic Processing Design 237

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. Pipeline is infinitely scalable Given the elasticity offered by public clouds, one would think that data pipelines are infinitely scalable which is entirely misleading.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant. This is inefficient and creates avoidable risks.

Technology 210

Technology Technology Analytics Storage 210

Dotcom-Montior

OCTOBER 6, 2021

Site reliability engineers are focused with creating scalable and reliable software systems, so this also includes ensuring that development work is efficient and reliable, so when the finished product is ready for production, there are no surprises. It is at this junction where the site reliability engineer role comes in.

Engineering 67

Engineering DevOps Monitoring Google 67

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

MARCH 2, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Comments ().

AWS 112

AWS Cloud Games Latency 112

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114

AWS Latency Storage Big Data 114

VoltDB

FEBRUARY 28, 2018

As a result, these iterations of blockchain have extremely low throughput, extremely high latency, and low capacity—none of which is acceptable for, as an example, mission-critical trading systems in financial services. To harden the system against advanced cyber attacks, it’s intentionally difficult to write to cryptocurrency blockchains.

Blockchain 45

Blockchain Technology Technology Database 45

VoltDB

FEBRUARY 28, 2018

As a result, these iterations of blockchain have extremely low throughput, extremely high latency, and low capacity—none of which is acceptable for, as an example, mission-critical trading systems in financial services. To harden the system against advanced cyber attacks, it’s intentionally difficult to write to cryptocurrency blockchains.

Blockchain 40

Blockchain Technology Technology Database 40

Dotcom-Montior

DECEMBER 8, 2021

An organization’s response to an incident, whether we are talking about downtime, security breaches or cyber-attacks, or even prolonged latency and repeated errors, is critical to the continued success of the business and trust from the customer or end user. SREs must manage complex distributed systems.

Social Media 90

Social Media Monitoring Latency DevOps 90

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

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The higher-level digital twins continue to run in the cloud or on-premises – wherever the required computing resources are located.

IoT 45

IoT Ecommerce Analytics Latency 45

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 111

AWS Government Big Data Cloud 111

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The higher-level digital twins continue to run in the cloud or on-premises – wherever the required computing resources are located.

IoT 40

IoT Ecommerce Analytics Latency 40

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. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

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

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving down the cost of Big-Data analytics. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

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

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

AWS 60

AWS Cloud Latency Storage 60

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JULY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 85

AWS Storage Cloud Big Data 85

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. 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

HammerDB

DECEMBER 5, 2020

For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. In terms of analytics and the TPROC-H workload derived from TPC-H, this specification does not require middleware so when running TPROC-H you are close to the specification, however there remain differences.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Comments ().

AWS 67

AWS Cloud Benchmarking Storage 67

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. All Things Distributed.

AWS 61

AWS Cloud Latency Storage 61

All Things Distributed

OCTOBER 12, 2016

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. This allows for faster failover times while minimizing latency. Building upon Redis. Redis and Fast Data.

Scalability 130

Scalability Analytics Cache AWS 130

Scalegrid

JANUARY 12, 2024

Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field. This also aids scalability down the line. Just like a conductor orchestrating an ensemble of instruments to play at specific times for optimal performance.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. They can also see how the change can affect critical objectives like SLOs and golden signals, such as traffic, latency, saturation, and error rate. DevOps teams need automation that goes beyond passive observations.

DevOps 228

DevOps Traffic Efficiency Servers 228