Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 236

AWS Efficiency Azure Cloud 236

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 105

Storage Network Open Source Latency 105

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. Active data includes jobs and tasks that are currently running.

Cache 224

Cache Latency Traffic Systems 224

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. By default, most Linux installs use the CFQ ( Completely-Fair Queue ) scheduler. Two other schedulers are deadline and noop.

Best Practices 52

Best Practices Design Tuning Database 52

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. 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. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

Performance 140

Performance Latency Hardware Storage 140

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 94

AWS Benchmarking Performance Traffic 94

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? With the launch of the AWS Storage Gateway our customers can now integrate their on-premises IT environment with AWSâ??s

Storage 115

Storage AWS Virtualization Cloud 115

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

The Netflix TechBlog

FEBRUARY 9, 2021

Before designing a solution it’s important to understand the main product requirements for such a feature: The content needs to be new, relevant, and regional (not all countries have the same catalogue). To reduce latency, assets should be generated in an offline fashion and not in real time. This requires an asset storage solution.

Engineering 165

Engineering Storage Latency Entertainment 165

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Any organization recruits experienced testing agencies to comply with their specifications for software testing. Here is the list of software testing trends you need to look out for in 2021.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

The Netflix TechBlog

JUNE 13, 2023

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. A dial is a software construct that enables the controlled flow of traffic within a system.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 192

Monitoring Social Media IoT Metrics 192

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. So you look at MongoDB Enterprise software, but its costly and complex licensing structure does not meet your budget goals. It ranks No.

Open Source 75

Open Source Database Scalability Software 75

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. ScaleOut Software’s Digital Twin Streaming Service provides precisely these capabilities. Azure digital twins serve a different purpose.

IoT 52

IoT Azure Analytics Serverless 52

High Scalability

JULY 20, 2018

DonHopkins : NeWS differs from the current technology stack in that it was all coherently designed at once by James Gosling and David Rosenthal, by taking several steps back and thinking deeply about all the different problems it was trying to solve together. Some are lucky enough to also have a production environment."

Internet 121

Internet Internet Scalability Automotive 121

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 52

The Morning Paper

OCTOBER 26, 2020

We push as much data processing as possible onto warehouse-scale computers and systems software. There are several pressures on such a design: The volume of data continues to grow – by another 2 orders of magnitude this decade according to IDC – as does the velocity of data arrival and the variance in arrival rates.

Cloud 104

Cloud Big Data Latency Architecture 104

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. This work is latency critical, because volume IO is blocked until it is complete. NSDI’20.

Database 106

Database AWS Network Design 106

IO River

NOVEMBER 2, 2023

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Developed by none other than Apple, HLS is vital in minimizing delays, known in the tech world as latency!When

Architecture 52

Architecture Performance Internet Internet 52

Particular Software

AUGUST 16, 2021

which provides saga and outbox storage for NServiceBus endpoints that is transactionally consistent with the business data you store in Cosmos DB. But where Cosmos DB really shines is for systems that require worldwide low latency with flexible pricing. You might use this if you were designing a new competitor to Facebook. ??

Azure 52

Azure Serverless Storage Database 52

The Morning Paper

AUGUST 29, 2019

The design space. We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS.

AWS 52

AWS Database Serverless Storage 52

IO River

NOVEMBER 2, 2023

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Developed by none other than Apple, HLS is vital in minimizing delays, known in the tech world as latency!When

Architecture 52

Architecture Performance Internet Internet 52

Percona

DECEMBER 26, 2023

Dashboard example 2: Monitoring in real time These two panels show read/write IO performance to the persistent storage while benchmarking a live run. Percona Distribution for PostgreSQL provides the best and most critical enterprise components from the open-source community, in a single distribution, designed and tested to work together.

Benchmarking 120

Benchmarking Metrics C++ Database 120

Percona

JANUARY 24, 2023

This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. Individual processes generate WAL records, and latency is very crucial for transactions. Such “torn pages” are corruptions from the database point of view. The actual benefit of compression depends on many factors.

Database 115

Database Benchmarking Open Source Latency 115

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. Garbage collectors are designed under the assumption that memory should be cleaned up reasonably quickly.

Benchmarking 97

Benchmarking Latency Servers Systems 97

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. The key factor is that the whole data structure resides in the same location (node), facilitating the operations.

Traffic 122

Traffic Scalability Database Servers 122

The Morning Paper

DECEMBER 8, 2019

(Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible.

Hardware 56

Hardware Programming Media Storage 56

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. All too often, the software wasn’t designed in a way that made it easy to ship.

Database 72

Database Cache Architecture Latency 72