All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 162

Scalability Database Ecommerce Latency 162

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

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function?

Lambda 246

Lambda AWS Serverless Latency 246

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. It also serves as central configuration of access patterns such as consistency or latency targets. Useful for keeping “n-newest” or prefix path deletion.

Latency 256

Latency Storage Cache Servers 256

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 235

Latency Storage Traffic Tuning 235

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria. Learn more about the pillars of modern observability in this e-book.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

VoltDB

NOVEMBER 20, 2024

This proximity reduces latency and enables real-time decision-making. The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential. Assess factors like network latency, cloud dependency, and data sensitivity.

IoT 52

IoT Energy Latency Automotive 52

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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

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 233

Processing Media Latency Innovation 233

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 100

Scalability Cache Analytics AWS 100

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The data warehouse is not designed to serve point requests from microservices with low latency. Moving data with Bulldozer at Netflix.

Latency 248

Latency Storage Big Data Tuning 248

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 236

Infrastructure Transportation Storage Open Source 236

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Kinesis Data Analytics. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Elastic File System (EFS). Amazon EMR. Amazon Redshift.

AWS 200

AWS Metrics IoT Storage 200

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. 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

Scalegrid

JANUARY 21, 2025

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

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

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Kinesis Data Analytics. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Elastic File System (EFS). Amazon EMR. Amazon Redshift.

AWS 182

AWS Metrics IoT Storage 182

Scalegrid

AUGUST 27, 2024

Scalability : Message queues can handle multiple requests and messages simultaneously, making it easier to scale an application to meet increasing demands. This scalability is essential for applications that experience fluctuating workloads. This reliability is crucial for maintaining data integrity and consistency across the system.

IoT 130

IoT Ecommerce Games Scalability 130

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

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. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 243

Metrics Database Monitoring Network 243

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 240

Media Traffic Processing Design 240

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 246

DevOps Traffic Efficiency Servers 246

All Things Distributed

JULY 14, 2015

A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g., Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables.

Database 156

Database Lambda AWS IoT 156

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

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

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 Architecture Scalability 130

VoltDB

FEBRUARY 29, 2024

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.

Latency 52

Latency Games Traffic Network 52

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 103

AWS Latency Storage Cloud 103

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 111

Best Practices Hardware Tuning Scalability 111

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

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

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. In-Memory Storage Engine, as the name suggests, stores data in memory for faster performance and lower latencies. Choosing the appropriate storage engine can have a significant impact on application performance.

Storage 130

Storage Engineering Cache Database 130

All Things Distributed

NOVEMBER 15, 2010

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

AWS 125

AWS Programming Latency Architecture 125

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