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

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 72

Serverless Microservices Lambda IoT 72

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 Data Center Machine Learning 86

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

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

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 Artificial Intelligence 60

Tenable

NOVEMBER 29, 2022

Here are two common examples of misconfigurations: Storage bucket permissions: Many cloud providers offer customizable permission controls, making it possible for the content within the storage bucket to be publicly available to even unauthenticated users. Insecure APIs.

Applications 52

Applications Cloud Software Review Systems Review 52

Trigent

MARCH 24, 2021

74% of CIOs were reportedly using cloud-native technologies, including microservices, containers, and Kubernetes, and 61% said these environments changed every minute or less. AIOps can be effectively leveraged to manage routine tasks like reconfigurations and recalibration for network and storage management.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

AUGUST 24, 2021

The emergence of the cloud brought with it a shift to microservices architecture , which completely changed testing rules. Multiple scrum teams work on various application components or modules deployed in containers and connected through APIs in a microservices-based application.

Cloud 52

Cloud Weak Development Team Disaster Recovery Architecture 52

Trigent

MARCH 24, 2021

74% of CIOs were reportedly using cloud-native technologies, including microservices, containers, and Kubernetes, and 61% said these environments changed every minute or less. AIOps can be effectively leveraged to manage routine tasks like reconfigurations and recalibration for network and storage management.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

O'Reilly Media - Ideas

JANUARY 14, 2020

Serverless offerings tend to fall into two types: Backends as a Service (BaaS) - BaaS provides serverless approaches to handle things like storage, authentication, and user management. Serverless for storage. AWS Aurora Serverless is an example of a BaaS offering. At best, it’s used 5 to 15 hours per week. The same goes with servers.

Serverless 52

Serverless Lambda AWS Architecture 52

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

Altexsoft

JULY 4, 2022

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. system administrators, system and network engineers, data center and server engineers, security engineers, and. Key components of IT infrastructure. other members of the IT team.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Existek

JANUARY 11, 2022

They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Migration and transfer. Networking and content delivery. Business apps.

Azure 52

Azure AWS Cloud How To 52

CIO

OCTOBER 13, 2022

Offering everything from fiber optics to data centers and satellite networks, Lintasarta has a presence throughout Indonesia, with 54 facilities spread throughout the nation and more than 2,400 enterprise customers. We’re seeing a dramatic increase in microservices and autoscaling here in Indonesia,” he says.

Enterprise 263

Enterprise Cloud Disaster Recovery Backup 263

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

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

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 247

Hardware Artificial Inteligence Off-The-Shelf Generative AI 247

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

Enlume

NOVEMBER 13, 2018

The security concerns run across the different architectural components of a microservices based cloud systems, such as containerization, heterogeneity, elasticity, multi-tenancy, connected resources sharing and mobility. CIA(Confidentiality, Integrity, and Availability) Triad. Upgrade and manage your technology.

Security 40

Security Cloud How To Technical Review 40

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

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 Data Center Open Source 10

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 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

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

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 Artificial Inteligence Infrastructure 105

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 Artificial Inteligence 52

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

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

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

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

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

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

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 Fractional CTO 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 Fractional CTO 52

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

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

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