The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. 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.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 102

Performance Monitoring Traffic Database 102

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O.

Latency 79

Latency Cache Programming Operating System 79

Percona

MAY 1, 2023

This message is normally a side effect of a storage subsystem that is not capable of keeping up with the number of writes (e.g., However, gp2 suffers from a tricky way of calculating credits and usage that may drive erroneous conclusions about the real capacity of the storage. The settings might not be optimal. IOPs) required by MySQL.

AWS 117

AWS Hardware Storage Tuning 117

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. For as long as we’ve been talking about microservices, we’ve been talking about data.

Database 72

Database Cache Architecture Latency 72

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

SQL Performance

FEBRUARY 26, 2020

Azure SQL Database Managed Instance became generally available in late 2018. Organizations are taking advantage of having managed backups, lots of built-in security features, an uptime SLA of 99.99%, and an always up-to-date environment where they are no longer responsible for patching SQL Server or the operating system. GB per vCore.

Azure 63

Azure Performance Storage Latency 63

The Morning Paper

AUGUST 29, 2019

We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. System initialisation time.

Architecture 76

Architecture Cloud Storage Serverless 76

All Things Distributed

SEPTEMBER 25, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Customers can provision up to 10,000 IOPS (input/output operations per second) per database instance to help ensure that their databases can run the most stringent workloads with rock solid, consistent performance. Expanding the Cloud â?? Comments ().

Cloud 118

Cloud AWS Storage Database 118

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. in the directory storage/innobase/ut the following section has UT_RELAX_CPU defined to call the PAUSE instruction on x86.

Testing 48

Testing Tuning Latency Storage 48

Smashing Magazine

SEPTEMBER 28, 2022

On design systems, UX, web performance and CSS/JS. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. In a common WebSocket architecture, the Front-end application will connect to a WebSocket API, an event bus, or a database. Caching Schemes.

Cache 125

Cache Performance Servers Social Media 125

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. Monitoring tools should also be considered when setting up your Redis® database.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

The Morning Paper

MARCH 10, 2020

So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads. This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

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. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

AWS 114

AWS Cloud Games Latency 114

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. Driving Storage Costs Down for AWS Customers. All Things Distributed. Comments ().

AWS 115

AWS Latency Storage Big Data 115

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Market participants.

Blockchain 94

Blockchain Internet Internet IoT 94

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. I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? mongodump --host=mongodb1.example.net

Best Practices 52

Best Practices Database Storage Servers 52

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Cluster Compute Instances can be grouped as cluster using a "cluster placement group" to indicate that these are instances that require low-latency, high bandwidth communication.

Cloud 119

Cloud AWS Automotive Latency 119

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. But what happens when this machinery needs a transformation?

Traffic 279

Traffic Metrics Systems Strategy 279

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size.

Big Data 154

Big Data Processing Lambda Database 154

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. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Comments ().

AWS 60

AWS Cloud Latency Storage 60

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 Storage Costs Down for AWS Customers. All Things Distributed.

AWS 87

AWS Storage Cloud Big Data 87

Percona

AUGUST 10, 2018

The performance of a PostgreSQL database can be compromised by dead tuples, since they continue to occupy space and can lead to bloat. Now, though, it’s time to look at autovacuum for postgres, and the internals you to know to maintain a high performance PostgreSQL database needed by demanding applications. Is this a problem ?

Tuning 44

Tuning Cache Database Storage 44

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. You need to be able to place your systems in locations where you can minimize the distance to your most important customers.

AWS 61

AWS Cloud Latency Storage 61

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Managing Costs Lower storage expenses in the public cloud and the ability to scale resources as needed enhance the cost-effectiveness of a hybrid cloud environment compared to on-premises infrastructure.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 12, 2024

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. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability.

Performance 123

Performance Hardware Tuning Storage 123

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 93

AWS Benchmarking Performance Traffic 93

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

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 Storage Costs Down for AWS Customers. All Things Distributed.

AWS 113

AWS Government Big Data Cloud 113