High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. lossless analog image-compression technology.". Eitally : there are a few critical differences between GCP and AWS or Azure. Charlie Demerjian : what does Intel have planned for their server roadmap?

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

SEPTEMBER 17, 2019

Their technology stack looks like this: Spring Boot-based Microservices. PostgreSQL & Elastic for data storage. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. NGINX as an API Gateway. REDIS for caching. 2 Validate Configuration.

AWS 127

AWS Monitoring Ecommerce Lambda 127

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. But what is the purpose behind this model?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform.

Analytics 194

Analytics Processing Transportation Storage 194

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. In this time of crisis, it’s likely the case that the technology of real-time digital twins has arrived at the right time to help our overtaxed medical professionals.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. In this time of crisis, it’s likely the case that the technology of real-time digital twins has arrived at the right time to help our overtaxed medical professionals.

Logistics 52

Logistics Analytics Scalability Cloud 52

Tasktop

MARCH 16, 2021

Partner Account Manager: Liaises with leading tool vendors (such as Atlassian Jira, Microsoft Azure DevOps, Micro Focus, ServiceNow), maintaining close relationships for the latest information on tool suites, upgrades and other changes, with timely access to APIs and SDKs. Step 2: Find Your Ingredients.

Metrics 52

Metrics Healthcare Automotive Innovation 52

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. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. CaaS automates the processes of hosting, deploying, and managing container technologies. Easy scalability. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 218

Serverless Azure Hardware Transportation 218

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 201

Infrastructure Storage Virtualization Network 201

Tasktop

MARCH 16, 2021

Partner Account Manager: Liaises with leading tool vendors (such as Atlassian Jira, Microsoft Azure DevOps, Micro Focus, ServiceNow), maintaining close relationships for the latest information on tool suites, upgrades and other changes, with timely access to APIs and SDKs. Step 2: Find Your Ingredients.

Metrics 40

Metrics Healthcare Automotive Innovation 40

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

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database 130

Database Cloud Hardware Storage 130

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. lowrykoz : Stolen from a co-worker "Every company has a test environment.

Internet 121

Internet Internet Scalability Automotive 121

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. is built on the most popular Linux container technology, Docker. OpenShift key features and benefits. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. Scalability is a major feature of GCF.

Google 222

Google Cloud Serverless Azure 222

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. The main benefits of serverless architecture are cost savings and scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

MAY 2, 2023

The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Back up anywhere – to the cloud (use any S3-compatible storage) or on-premise with a locally-mounted remote file system It allows you to choose which compression algorithms to use.

Best Practices 52

Best Practices Database Storage Servers 52

Enprowess

JANUARY 12, 2022

Voice Search Technology. Blockchain Technology. A Progressive web applications (PWA) are the latest trends in website development, built using standard web technologies like HTML and JavaScript. The technology has gained popularity for its possibility to propose a high-quality user experience. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

Abhishek Tiwari

NOVEMBER 3, 2018

Traditional CMS is a dead end In the last 5 years, traditional CMS landscape is not evolved much - both CMS technologies as well market maturity remains unchanged. Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape.

Systems 63

Systems Cache Website Network 63

ScaleOut Software

AUGUST 19, 2014

To meet the needs of an elastic application, an IMDG must be designed to transparently scale its throughput by adding virtual servers and then automatically rebalance its in-memory storage to keep the workload evenly distributed. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

To meet the needs of an elastic application, an IMDG must be designed to transparently scale its throughput by adding virtual servers and then automatically rebalance its in-memory storage to keep the workload evenly distributed. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52