The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

DECEMBER 5, 2023

You’re no longer required to use a single offering or choose from a few instance families; Graviton includes general-purpose and accelerated-computing offerings, plus compute-, memory-, and storage-optimized instances. In this way, log data is always associated with the host, service, or other entity that generated it.

Efficiency 271

Efficiency Architecture Energy Monitoring 271

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 191

Analytics Innovation Metrics Database 191

Percona

APRIL 14, 2023

Consider alternative tools, systems, and services: Many cloud providers offer long-term storage, serverless options, or component options for specific needs, with vastly different pricing models. Deactivate or eliminate elements you’re not using. With proper database management, it’s possible to cut your bills in half.

Database 80

Database Serverless Tuning Cloud 80

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage. See details below. See details below.

Storage 150

Storage Latency Operating System Network 150

Dynatrace

FEBRUARY 9, 2021

Did this issue result from the order in which the user added the data or the speed with which they selected the UI controls? . The masking process takes place on the device, even before screenshots are saved to local storage to guarantee that confidential information is never revealed.

Mobile 198

Mobile Tuning Monitoring Storage 198

Dynatrace

DECEMBER 9, 2020

To address potentially high numbers of requests during online shopping events like Singles Day or Black Friday, it’s crucial that this online shop have a memory storage strategy that allows for speed, scaling, and resilience of all microservices, especially the shopping cart service. What’s next?

Java 239

Java Traffic Strategy Architecture 239

Scalegrid

JANUARY 25, 2024

Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. Throughput Ensuring optimal performance and efficient handling of many queries is crucial for Redis, as it offers exceptional speed and minimal delay.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

JANUARY 8, 2019

Simply put, in a MySQL semisynchronous replication configuration, the master commits transactions to the storage engine only after receiving acknowledgement from at least one of the slaves. Managing The Execution Speed of The Slaves. Stay tuned!! What is MySQL Semisynchronous Replication?

Availability 113

Availability Tuning Speed Network 113

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

JUNE 26, 2020

With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Storage and management of credentials via the Synthetic Monitoring credential vault. So stay tuned! Dynatrace news. But wait, there’s more!

Monitoring 259

Monitoring Azure AWS Traffic 259

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. Well, here we are – with storage autoscaling for databases in Kubernetes, slated for release in Q1, 2024 after a year of hard work.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

NOVEMBER 15, 2021

Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Optimized system performance. Increased collaboration.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Percona

DECEMBER 20, 2018

Linux OS Tuning for MySQL Database Performance. In this post we will review the most important Linux settings to adjust for performance tuning and optimization of a MySQL database server. We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud.

Database 40

Database Tuning Performance AWS 40

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Each partition holds data that falls within a specific range, optimizing data handling and query speed. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance.

Strategy 40

Strategy Storage Database Best Practices 40

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. vCore Pricing Tier. GB per vCore. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. Built-in, high-performance ML algorithms, re-engineered for greater, speed, accuracy, and data-throughput.

Tuning 94

Tuning AWS Scalability Infrastructure 94

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. This machine has four i7 CPUs (hyperthreaded to 8) with a base speed of 2.4GHz. Not everyone will be able to move to column store storage quickly, and it won't always be the right solution anyway. Test Environment.

Servers 86

Servers Tuning Database Efficiency 86

HammerDB

MAY 5, 2019

Also it is interesting to note that the impact of this change was not observed in other databases or other MySQL storage engines such as MyRocks the only noticeable impact with HammerDB workloads occurred in MySQL with InnoDB where in the source code ut0ut.cc So to test I took a system with Skylake CPUs and all storage on a P4800X SSD.

Testing 48

Testing Tuning Latency Storage 48

Percona

NOVEMBER 3, 2023

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. In order to speed up the benchmark indexes must be added. Redundancy can potentially decrease overall performance.

Database 102

Database Benchmarking Latency C++ 102

All Things Distributed

OCTOBER 2, 2017

In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second.

Internet 128

Internet Internet AWS Performance 128

All Things Distributed

APRIL 9, 2015

At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Details on the AWS Blog.

Lambda 122

Lambda Cloud IoT AWS 122

Official Blog - World Web Technology

MAY 12, 2023

Stay tuned. The front-end of the website is what you see and interact on the display on the screen and the backend is the logical part of the app that has components such as storage, coding, content management, etc. High-performing Websites With Good Traffic One of the reasons why visitors keep coming to your website is the speed.

Website 52

Website Development Scalability Architecture 52

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Percona

AUGUST 29, 2023

Among its many capabilities, a Citus cluster can: Create distributed tables that are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage, and I/O capacity. Columnar storage of tables can compress data, speeding up scans and supporting fast projections, both on regular and distributed tables.

C++ 77

C++ Database Storage Testing 77

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

Particular Software

APRIL 9, 2018

Every software system is dependent on a few types of infrastructure (CPU, memory, storage, network), so it's no surprise that there are lots of off-the-shelf tools that provide this capability. Going at this speed, the Message Processor could handle 3 passengers per minute. How many CPU cycles is a system using? How much RAM?

Systems 40

Systems Infrastructure Monitoring Tuning 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . This is to be expected and is due to the limitations of the scalability of the storage engine.

Best Practices 40

Best Practices Scalability Performance C++ 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

Brendan Gregg

SEPTEMBER 5, 2017

Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). If that seems wildly unacceptable, note that you can tune overcommit on Linux to not do this, and behave more like Solaris (see sysctl vm.overcommit_memory).

Virtualization 76

Virtualization AWS Engineering Hardware 76

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40