Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 12, 2024

These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices. Storage is a critical aspect to consider when working with cloud workloads. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

JANUARY 20, 2020

Note: ScaleGrid implements follower clusters using storage snapshots. And since the entire import is performed using storage snapshots, rather than a logical dump, the process is nearly instantaneous. With your development and QA clusters set to follow the production cluster, you can rest easy. Data Analytics.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

High Scalability

JANUARY 11, 2022

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. When the server receives a request for an action (post, like etc.) Problem Statement. High Level Design. Architecture. Fetching User Feed.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. So, what is ITOps? What is ITOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes.

Database 130

Database Cloud Hardware Storage 130

Smashing Magazine

NOVEMBER 15, 2021

Powerful Terminal And Command-Line (CLI) Tools For Modern Web Development. Powerful Terminal And Command-Line (CLI) Tools For Modern Web Development. Many modern programmers, including front-end and full-stack developers, work daily with the command line. Louis Lazaris. 2021-11-15T13:00:00+00:00. 2021-11-15T16:34:44+00:00.

Development 134

Development Google Storage Open Source 134

Dynatrace

AUGUST 24, 2020

Kubernetes simplifies the operation and development of distributed applications by streamlining the deployment of containerized workloads and distributing them over a set of nodes. Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Conclusion.

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

APRIL 26, 2022

RUM is passive monitoring that measures a user’s interactions with an application — typically with a JavaScript tag for web applications or a software development kit (SDK) for native mobile apps. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

Monitoring 209

Monitoring Social Media IoT Metrics 209

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). 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.

Open Source 52

Open Source Servers Storage Scalability 52

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. StackOverflow statistics show that 26% of developers preferred it in 2017, 34% in 2019, and 40% in 2021. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting.

Open Source 75

Open Source Healthcare Social Media Database 75

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

Dynatrace

AUGUST 24, 2020

Kubernetes simplifies the operation and development of distributed applications by streamlining the deployment of containerized workloads and distributing them over a set of nodes. Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Percona

JULY 17, 2023

Developers and DBAs like MongoDB’s ease-of-use. DBAs and developers appreciate its combination of flexibility, scalability, and performance. DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging.

Open Source 73

Open Source Database Scalability Software 73

All Things Distributed

AUGUST 17, 2011

No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. What we need though is data that is automatically connected with context for k8s administrators, architects and developers to better understand what is going in the part of k8s that’s relevant to them and how does it impact those parts that are relevant for their colleagues. Service mash insights.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Available as an agent installer). So, who cares, and why?

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Comments ().

Storage 71

Storage Cloud AWS Scalability 71

Smashing Magazine

MAY 17, 2021

Over time, we’ve evolved through a variety of static site generators, JavaScript frameworks, and server technologies. When paired with VS Code the development experience is amazing. to do much server-side work, the majority of our content is statically exported as HTML, CSS, and JavaScript to be served from a CDN.

Google 93

Google Analytics Serverless Metrics 93

Percona

DECEMBER 14, 2022

Online analytical processing , OLAP : Online analytical processing applications enable users to analyze multidimensional data interactively from multiple perspectives which consist of three basic analytical operations: . The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements.

Database 92

Database Analytics Storage Processing 92

The Netflix TechBlog

SEPTEMBER 2, 2020

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores.

Latency 296

Latency Transportation Engineering Traffic 296

Smashing Magazine

SEPTEMBER 20, 2021

When your content is delivered by other means, from other servers or platforms, it can put the user experience and commercial relationship you have built up with your users at risk. We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work.

Website 89

Website Analytics Google Cache 89

The Netflix TechBlog

JULY 30, 2019

and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore.

Lambda 189

Lambda Media Open Source Metrics 189

HammerDB

JUNE 27, 2022

Why HammerDB was developed. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. HammerDB development. Usage and industry adoption. Supported Databases. Derived Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. autovacuum may have trouble keeping up on a busy server.

Strategy 182

Strategy Cloud Java Open Source 182

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

All Things Distributed

DECEMBER 13, 2016

Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. GoSquared provides various analytics services that web and mobile companies can use to understand their customers' behaviors. Fraud.net uses AWS to build and train machine learning models in detecting online payment fraud.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

All Things Distributed

FEBRUARY 17, 2011

Since a few days ago this weblog serves 100% of its content directly out of the Amazon Simple Storage Service (S3) without the need for a web server to be involved. I had held out implementing an alternative to my simple blog server that had. Driving Storage Costs Down for AWS Customers. Comments (). Amazon S3 FTW!

AWS 134

AWS Website Storage Servers 134