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.

Azure 52

Azure AWS Cloud How To 52

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

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

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

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

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

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid clouds become a battleground with Amazon Outpost delivering an on-premise server rack to deliver AWS cloud, and IBM acquiring Redhat to increase their relevance in the data center. There are three major areas of support Cloud gate way for block, file and object storage with HNAS and HCP.

Cloud 49

Cloud AWS Open Source Data Center 49

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

LogicMonitor

NOVEMBER 16, 2018

Nowadays a user’s experience is likely to be dependent on a variety of microservices and applications, distributed among public cloud and private data center environments. About 90% of cloud apps share data with on-premises applications.) Overprovisioned storage or compute. and define SLAs, scheduled downtime, etc.

Metrics 40

Metrics Systems Review Storage Data Center 40

Altexsoft

DECEMBER 14, 2022

Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. That’s why applications that are designed to run as a set of discrete microservices benefit the most from containers. Common Docker use cases. Typical areas of application of Docker are. Deployment speed.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 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

Instaclustr

OCTOBER 14, 2019

Instagram is a big user of Cassandra, with 1000s of nodes, 10s of millions of queries per second, 100s of production use cases, and Petabytes of data over 5 data centers. The solution is the Akkio data locality layer, and “ sharding the shards ”! Kai Waehner. acts as a buffer), etc.

Technical Review 36

Technical Review Technology Report Open Source 36

Bernd Rucker

JULY 18, 2019

Storage Zeebe writes the log to disk and RocksDB also flushes its state to disk. We regularly discuss making storage logic pluggable?—?for Multi data-center replication Users often ask for multi data-center replication. as described in a minute. Currently this is the only supported option.

Scalability 42

Scalability Data Center Data Engineering 42

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 135

Technical Review Authentication Storage Serverless 135