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.

Storage 64

Storage Systems Hardware Efficiency 64

DZone

JANUARY 23, 2022

Building resilient systems requires comprehensive error management. Errors could occur in any part of the system / or its ecosystem and there are different ways of handling these e.g. Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc.

Hardware 243

Hardware DevOps Network Storage 243

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Tech News Gather

MARCH 16, 2023

8 factors to consider while iOS app designing App designing is a rapidly growing industry because users spend more time in apps than in browsers. The user engagement, customer satisfaction, and additional exposure that a good app design provides for your product all go up. Our purpose is not to dispute Apple’s assertions.

Design 52

Design Mobile Storage Systems 52

Dynatrace

OCTOBER 17, 2023

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying.

Retail 239

Retail Storage Best Practices Architecture 239

All Things Distributed

MARCH 23, 2021

Back then, Amazon was ~2% of its size today, and was growing faster than traditional IT systems could support. We had to rethink everything previously known about building scalable systems. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business.

Ecommerce 216

Ecommerce Retail Storage Scalability 216

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Hacker News).

Java 244

Java Best Practices Google Analytics 244

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

DZone

JANUARY 25, 2022

Apache Camel is an integration framework, which basically means that it is a set of tools that will help you connect one system to another. A basic example could be listening to an AWS SQS queue and saving a file in Google Cloud Storage Bucket for each message that has been received.

AWS 185

AWS Storage Google Design 185

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

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. Future-Proofing Your Database System Future-proof your database operations when you scale up.

Healthcare 130

Healthcare Hardware Database Scalability 130

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. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JUNE 9, 2023

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. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects. What is DevOps maturity?

DevOps 186

DevOps Analytics Storage Metrics 186

Scalegrid

JANUARY 9, 2024

As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern. Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor.

Strategy 130

Strategy Cloud Best Practices Government 130

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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?? s storage infrastructure. Comments ().

Storage 116

Storage AWS Virtualization Cloud 116

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

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. What is your favorite project?

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

All Things Distributed

AUGUST 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Comments ().

Storage 122

Storage Cloud AWS Media 122

Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Ease of use.

Open Source 209

Open Source Social Media Infrastructure Operating System 209

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 118

Storage Cloud Network Traffic 118

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. The graphic below (Fig. 1) depicts the migration of traffic from fixed bitrates to DO encodes.

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

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. 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

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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

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

DZone

JUNE 12, 2019

A system that has the ability to easily scale resources to meet the increasing workload without affecting the performance is known as a scalable system. The workload could refer to anything from an increase in users, storage, or a number of transactions.

Scalability 100

Scalability Software Architecture Storage Architecture 100

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 249

AWS Efficiency Azure Cloud 249

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. In this post, we will consider the use of mathematics/cryptography as an approach to improving systems security.

Systems 47

Systems Hardware Storage Healthcare 47

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

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., That’s hard to do in today’s blockchain systems for two reasons: Provenance can only be determined by querying and replaying all on-chain transactions, which is inefficient and an offline activity. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. These essential data points heavily influence both stability and efficiency within the system. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. The world is still changing, so Google published a new edition: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition.

Design 54

Design Education Google Internet 54

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

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring 95

Monitoring Scalability Cache Database 95