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. Strategic allocation of these resources plays a crucial role in achieving scalability, cost savings, improved performance, and staying ahead of advancements in the field.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases.

Database 213

Database Latency C++ Scalability 213

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 86

Best Practices Hardware Tuning Scalability 86

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost.

Cloud 162

Cloud Traffic Best Practices Strategy 162

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Experienced database administrators learn to spot patterns that can lead to common problems. DevOps practitioners struggle to maintain highly available and scalable applications.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

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 ? These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. have adopted Kubernetes.

Efficiency 101

Efficiency Cloud Healthcare Open Source 101

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. A new record entering a database table. Tasks like API requests, database calls, and file system management are perfect candidates for this service.

Lambda 177

Lambda AWS Serverless Hardware 177

The Netflix TechBlog

OCTOBER 19, 2020

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. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Such clusters may have different configurations of thread pools to read and write data from database, logging levels and connection configuration with external dependencies.

Media 237

Media Traffic Processing Design 237

IO River

NOVEMBER 2, 2023

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. As a result, it can be delivered quickly to users, leading to faster page load times.

Cache 52

Cache Social Media Website Performance Website 52

VoltDB

NOVEMBER 10, 2017

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

Database 40

Database Latency Architecture Open Source 40

VoltDB

NOVEMBER 10, 2017

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

Database 40

Database Latency Architecture Open Source 40

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

IO River

NOVEMBER 2, 2023

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. As a result, it can be delivered quickly to users, leading to faster page load times.

Cache 52

Cache Social Media Website Performance Website 52

Dotcom-Montior

DECEMBER 8, 2021

The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. Service Catalog.

Social Media 90

Social Media Monitoring Latency DevOps 90

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. The US Federal Cloud Computing Strategy lays out a â??Cloud With AWSâ??s

AWS 111

AWS Government Big Data Cloud 111

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. Job Openings in AWS - Senior Leader in Database Services. Comments ().

AWS 85

AWS Storage Cloud Big Data 85

Dynatrace

AUGUST 5, 2019

Database & functional migration. If you want to read up on migration strategies check out my blog on 6-R Migration Strategies. In order to support these modernization strategies, it takes a more granular approach to dependency analysis as we have a more specific set of questions to answer: Which services do we actually have?

Cloud 31

Cloud Traffic Database Network 31

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

O'Reilly Software

MARCH 7, 2018

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. In addition to that, software is increasingly dependent on other software to provide its functionality, be it WebServices, HTTP APIs, databases, or even external devices such as sensors. What would that look like?

Transportation 72

Transportation Java Programming Architecture 72

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? SQL Server 2005 introduces the snapshot database feature for point-in-time databases ​​ and online DBCC operations.

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

DECEMBER 21, 2020

These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Other than these principles, there are some other design considerations to support and enable: Multi-tenancy with database and table prioritization. Transparency to end-users. More processing resources.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. VQS is called using the measureQuality endpoint.

Media 171

Media Innovation Metrics Latency 171

Smashing Magazine

JANUARY 7, 2019

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and eventually it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. when web fonts aren’t loaded yet). Large preview ).

Performance 104

Performance Cache Network Metrics 104

Smashing Magazine

JANUARY 6, 2020

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. when web fonts aren’t loaded yet). Planning, planning, planning.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 197

Database Traffic Transportation Open Source 197

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 128

Internet Internet AWS Performance 128