DZone

JANUARY 20, 2023

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

Scalability 201

Scalability Big Data Hardware Internet 201

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Now let’s look at how we designed the tracing infrastructure that powers Edgar. The process started with manual pull of member account information that was part of the session. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. That’s because of the heterogeneity of the data their environments generate and the limitations of the systems they rely on to analyze this information. All of these factors challenge DevOps maturity.

DevOps 186

DevOps Analytics Storage Metrics 186

Scalegrid

NOVEMBER 29, 2023

A DBaaS automates several processes, such as using, erasing, and spinning up storage without interventions from IT staff. Additional security measures as provided by the DBaaS already work with the configuration stored on their system. DBaaS companies have a lot of support for their automated processes. </p>

Healthcare 130

Healthcare Hardware Database Scalability 130

Scalegrid

JANUARY 9, 2024

As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern. The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures.

Strategy 130

Strategy Cloud Best Practices Government 130

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

MAY 19, 2017

We decided to use our inventive powers to design and build a new database engine that would give database systems such as MySQL and PostgreSQL reliability and performance at scale, at a level that could serve even the most demanding OLTP applications.

Database 120

Database Design Cloud Storage 120

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I also built online serving systems and microservices powering Walmart’s e-commerce. At this conference, I also got to know my current team: Consolidated Logging (CL).

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Additionally, the current version has some algorithmic limitations that we are in the process of improving before the official release.

Open Source 252

Open Source Software Engineering Internet Internet 252

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

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 249

AWS Efficiency Azure Cloud 249

Percona

MAY 29, 2023

With the ever-increasing reliance on data, system outages or data loss can be catastrophic, causing significant business disruptions and financial losses. pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. In this blog post, we saw how Kubernetes and Operators can simplify your DR design.

Storage 120

Storage Cloud Network Traffic 120

Strategic Tech

MAY 24, 2019

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables.

Design 45

Design Software Architecture Strategy Technology 45

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Dynatrace

MAY 26, 2021

To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run.

AWS 215

AWS Strategy Storage Metrics 215

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Dynatrace news. Amazon EC2.

Best Practices 214

Best Practices AWS Monitoring Serverless 214

Dynatrace

DECEMBER 20, 2021

Conversely, if users encounter functional issues or poor UI design that frustrate common actions, replays provide clear evidence. Replays provide on-demand data about where conversion processes aren’t working. Easy integration: Some tools require substantive configuration to integrate with existing systems. Transparent?

Mobile 248

Mobile Website Analytics Cache 248

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. These tools account for differences among fab locations and fabrication processes.

Energy 98

Energy Architecture Hardware Metrics 98

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. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks. As organizations adopt more AI technologies, the associated costs are skyrocketing.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

MAY 26, 2021

To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run.

AWS 147

AWS Strategy Storage Metrics 147

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. 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. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Percona

AUGUST 17, 2023

In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). A multi-version concurrency control (MVCC) system ensures multiple users can access the same data simultaneously without conflicts or data loss.

Open Source 78

Open Source Healthcare Social Media Database 78

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Old design (until Percona XtraBackup 8.0.33-27): New design (from Percona XtraBackup 8.0.33-28) A node completes the SST process faster and joins the PXC cluster quickly.

Cache 85

Cache Benchmarking Servers Design 85

Particular Software

JUNE 20, 2022

The key to a successful Cosmos DB system is its data partitioning strategy. Like the rows of shrubs in a hedge maze, the logical partitions that divide data must be carefully planned, because that affects the scalability of the system and defines the boundaries for logical transactions. In version 1.1 In version 1.1

Azure 52

Azure Storage Strategy Tuning 52

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

SEPTEMBER 30, 2021

The list of AWS certifications below shows there are two main AWS certification types: Core and Specialty, six classified as Core AWS Certifications, and five designated as Specialty AWS Certifications. If your company is pursuing AWS certification for a team, AWS Certification Exam Vouchers make the process easier.

AWS 212

AWS Best Practices Analytics Cloud 212

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness.

Tuning 52

Tuning Database Performance Hardware 52

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. The design space.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. It is largely an unofficial response to published comments from the MariaDB Corporation. What is MariaDB?

Open Source 52

Open Source Servers Storage Scalability 52

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 194

Design Storage Programming Analytics 194