Perficient

MARCH 30, 2023

The computing and storage of cloud data occur in a data center, rather than on a locally sourced device. Cloud computing makes data more accessible, cheaper, and scalable. For many, this means starting their journey using microservices.

Banking 115

Banking Cloud Technical Review Microservices 115

CircleCI

SEPTEMBER 22, 2022

Microservice architecture is an application system design pattern in which an entire business application is composed of individual functional scoped services, which can scale on demand. These features have made microservices architecture a popular choice for enterprises. Database management challenges for microservices.

Microservices 59

Microservices KPI Storage Engineering 59

OTS Solutions

DECEMBER 4, 2023

It provides all the benefits of a public cloud, such as scalability, virtualization, and self-service, but with enhanced security and control as it is operated on-premises or within a third-party data center. It works by virtualizing resources such as servers, storage, and networking within the organization’s data centers.

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

David Heinemeier Hansson

DECEMBER 19, 2023

Shortly thereafter, all the hardware we needed for our cloud exit arrived on pallets in our two geographically-dispersed data centers. All 4,000 vCPUs, 7,680GB of RAM, and 384TB of NVMe storage of it! Does this mean you’re building your own data centers? This was the introduction of Kamal. We had left the cloud.

Cloud 145

Cloud Data Center Hardware Internet 145

Mobilunity

DECEMBER 26, 2024

Preparation of data and application Clean and classify information Before migration, classify data into tiers (e.g. critical, frequently accessed, archived) to optimize cloud storage costs and performance. Ensure sensitive data is encrypted and unnecessary or outdated data is removed to reduce storage costs.

AWS 52

AWS Cloud Weak Development Team DevOps 52

CIO

APRIL 1, 2024

During its GPU Technology Conference in mid-March, Nvidia previewed Blackwell, a powerful new GPU designed to run real-time generative AI on trillion-parameter large language models (LLMs), and Nvidia Inference Microservices (NIM), a software package to optimize inference for dozens of popular AI models.

Hardware 148

Hardware Artificial Inteligence Off-The-Shelf Generative AI 148

Kentik

MARCH 13, 2018

Hyperscale data centers are true marvels of the age of analytics, enabling a new era of cloud-scale computing that leverages Big Data, machine learning, cognitive computing and artificial intelligence. the compute capacity of these data centers is staggering.

Data Center 40

Data Center Artificial Inteligence Data Load Balancer 40

Hu's Place - HitachiVantara

JANUARY 3, 2019

More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

CIO

JANUARY 26, 2023

That way the group that added too many fancy features that need too much storage and server time will have to account for their profligacy. The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Altexsoft

MARCH 2, 2021

IT infrastructure represents a large capital expenditure, in terms of the cost of data center facilities, servers, software licenses, network and storage equipment. Organizations only pay for actual resources used, such as CPU, memory, and storage capacity. Reduce capital expenditure (CapEx). Pay-as-you-go. Compliance.

AWS 90

AWS Storage Disaster Recovery Compliance 90

O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) Protocol networks are groups of loosely affiliated enterprises that provide globally available services like ledger, compute, and storage. We’ll discuss the technical underpinnings of cloudless later in this article.

Technical Review 145

Technical Review Authentication Storage Serverless 145

Hu's Place - HitachiVantara

AUGUST 10, 2018

Data centers are digitally transforming from being an infrastructure provider to a provider of the right service at the right time and the right price. Workloads are becoming increasingly distributed, with applications running in public and private clouds as well as in traditional enterprise data centers.

System 61

System Data Center Storage Virtualization 61

Kentik

JANUARY 31, 2023

Here are some examples of network-related KPIs: Network latency Packet loss Throughput Connections per second Bandwidth utilization Note that these KPIs can be aggregated at different levels of the hierarchy—individual endpoints or instances, multi-instance services, entire data centers, across regions, and globally.

Network 105

Network Analysis Data Center Metrics 105

Hu's Place - HitachiVantara

NOVEMBER 13, 2018

In my last blog post I explained how Hitachi Vantara’s All Flash F series and Hybrid G series Virtual Storage Platform (VSP) Systems can democratize storage services across midrange, high end, and mainframe storage configurations. We announced storage virtualization in 2004 with our Universal Storage Platform (USP).

Storage 40

Storage Virtualization Disaster Recovery USP 40

Kentik

MAY 14, 2019

For example, you cannot use AWS CloudWatch to monitor GCP’s network statistics and/or your on-prem data centers. One major cloud advantage is the agility of adopting cloud-native architecture including containers/microservices. Lack of a holistic view across multiple cloud providers and the organization’s on-prem infrastructure.

Cloud 103

Cloud Azure How To AWS 103

CIO

JULY 13, 2022

Universal Data Movement Use Cases with Streaming as First-Class Citizen : The service needs to address the entire diversity of data movement use cases: continuous/streaming, batch, event-driven, edge, and microservices. Data Center

System 133

System Enterprise Data Cloud 133

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. Workers are processes that run on our storage nodes. And that leads us to metrics.

Metrics 40

Metrics Microservices Linux Architecture 40

Cloudera

JUNE 16, 2022

Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time. As Kafka became the standard for the streaming storage substrate within the enterprise, the onset of Kafka blindness began.

Data 88

Data Disaster Recovery Analytics Microservices 88

Cloudera

SEPTEMBER 30, 2022

New use cases: event-driven, batch, and microservices. Since its initial release in 2021, CDF-PC has been helping customers solve their data distribution use cases that need high throughput and low latency requiring always-running clusters. automate the handling of support tickets in a call center).

Serverless 73

Serverless Microservices Lambda IoT 73

ParkMyCloud

MARCH 19, 2020

AWS Regions are the broadest geographic category that define the physical locations of AWS data centers. AWS offers Regions with a multiple AZ design – unlike other cloud providers who see a region as one single data center. . Amazon Simple Storage Service (S3) is storage for the internet.

AWS 66

AWS Lambda Data Center Storage 66

Linux Academy

JANUARY 26, 2019

Cloud computing is not just about having virtual servers in an off-premises data center. When he saw the costs of the infrastructure, networking, and other cloud resources he asked, “Why would we ever do anything in our own data center again?”. Last but not least is cloud optimization.

Cloud 60

Cloud Artificial Inteligence Data Center Linux 60

Kentik

FEBRUARY 20, 2023

For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Kentik

FEBRUARY 7, 2023

In an ideal world, organizations can establish a single, citadel-like data center that accumulates data and hosts their applications and all associated services, all while enjoying a customer base that is also geographically close. San Diego was where all of our customer data was stored.

Network 59

Network Cloud Data Data Center 59

O'Reilly Media - Ideas

SEPTEMBER 9, 2019

These challenges included service discovery, load balancing, health checks, storage management, workload scheduling, auto-scaling, and software packaging. Multiple containers working together form the basis of the microservices architecture that delivers a modern application or system at scale. Efficiency.

Load Balancer 65

Load Balancer Microservices DevOps Infrastructure 65

Apiumhub

JUNE 2, 2020

Mark Richards wrote a book called “ Software Architecture Patterns ” according to him, there are 5 major software architecture patterns: microkernel, microservices, Layered architecture, event-based, and space-based. Microservices pattern . You can write, maintain, and deploy each microservice separately. Microkernel pattern.

Architecture 61

Architecture Software Microservices Scalability 61

Infinidat

AUGUST 31, 2021

With the ever-growing use of public cloud and container technologies and the frequent delivery of modern, microservices-based applications, IT faces a daunting task in understanding all of the assets it has and how they support the business. BMC Helix Discovery’s integration with Infinidat’s InfiniBox storage system is available today.

Storage 52

Storage Data Center Artificial Intelligence Infrastructure 52

Exadel

MARCH 10, 2020

Consul is a popular “infra tool” that can be used as a distributed key-value storage, as well as a service discovery feature that includes back end storing IPs, ports, health info, and metadata about discovered services. The server side can also consist of clusters (data centers) in order to increase a system’s fail-operational capability.

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Exadel

DECEMBER 19, 2019

In a project environment with numerous services or applications that need to be registered and stored in data centers, it’s always essential to constantly track the status of these services to be sure they are working correctly and to send timely notifications if there are any problems. A tool we use for this is Consul. About Consul.

DevOps 10

DevOps Load Balancer Open Source Data Center 10

Altexsoft

MARCH 30, 2020

Sensors stream signals to data storage through an IoT gateway, a physical device or software program that serves as a bridge between hardware and cloud facilities. It preprocesses and filters data from IIoT thus reducing its amount before feeding to the data center. Central data storage.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

iTexico

OCTOBER 1, 2021

I nstead of having your own data center and buying several servers, we have the opportunity to pay a cloud provider like AWS, Azure, or Google Cloud. These resources include tools and applications like data storage, servers, databases, networking, and software. To me , c loud services work something like that. Conclusion.

Examples 52

Examples Cloud Virtualization AWS 52

Infinidat

JULY 28, 2020

Some of these operational challenges are made simpler with microservices, enabling customers to run the same application in 2 places at once, but they introduce other challenges: . How to guarantee data consistency across multiple platforms? . It’s the data / storage layer that is the limiting factor. Learn more. .

Cloud 52

Cloud Storage Backup Agile 52

Infinidat

JULY 28, 2020

Some of these operational challenges are made simpler with microservices, enabling customers to run the same application in 2 places at once, but they introduce other challenges: . How to guarantee data consistency across multiple platforms? . It’s the data / storage layer that is the limiting factor. Learn more. .

Cloud 52

Cloud Storage Backup Agile 52

Altexsoft

JUNE 20, 2019

In relational DBMS, the data appears as tables of rows and columns with a strict structure and clear dependencies. Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Simple data access, storage, input, and retrieval.

Systems Review 85

Systems Review System Software Review Open Source 85

Abhishek Tiwari

JULY 12, 2018

In this post, we will discuss why you should avoid building data pipelines in first place. Depending on the use cases, it is quite possible that you can achieve similar outcomes by using techniques such as data virtualisation or simply building microservices. In a nutshell, a data pipeline is a distributed system.

Data 63

Data Software Review Technical Review Microservices 63

Kentik

JUNE 21, 2021

data centers, offices, branches, etc.). Cloud migrations, microservices architectures, third-party services, and business growth, among other factors, are causing an increase in the number of VPCs deployed — and increasing the need for cloud network visibility.

How To 82

How To WAN Construction Network 82