Kentik

MARCH 7, 2018

However, in this post and the next, I’d like to take a closer look at the unique challenges of managing network performance inside the new generation of hyperscale data centers supporting the delivery of cloud-scale applications. applications. Industry 4.0 An Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Kentik

FEBRUARY 27, 2018

Many large businesses already have DevOps teams deploying new microservices-based applications in public cloud infrastructure. IoT is inherently digital and adoption is occurring at a rapid pace as businesses instrument the physical world with sensors spanning a wide range of environments.

WAN 40

WAN Weak Development Team IoT Internet 40

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 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. IoT devices, APIs, mobile applications, and digital users have increased, generating an exponentially large amount of data that is impossible to track manually.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 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. IoT devices, APIs, mobile applications, and digital users have increased, generating an exponentially large amount of data that is impossible to track manually.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

CIO

APRIL 4, 2023

Compliance and security: Securing the network is harder than ever before due to the rapid implementation of cloud-based services in response to the pandemic and the increasing adoption of IoT. Critical talent shortage: Organizations are increasingly struggling to recruit and retain talent with specialized skills.

Network 242

Network Marketing Cloud WAN 242

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

Altexsoft

MARCH 30, 2020

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. Splunk , an industrial analytical tool already integrated with leading IoT platforms.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level.

Azure 52

Azure AWS Cloud How To 52

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 73

IoT Open Source Analytics Retail 73

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

Tenable

APRIL 24, 2023

.” — Bruce Schneier, Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World As Bruce Schneier noted in his book Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World , “Complexity is the worst enemy of security, and our systems are getting more complex all the time.”

Software Review 52

Software Review Policies Systems Review Technical Review 52

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

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. HNAS provides a transparent data migrator for block and file data to private and public clouds and integrates with HCP object store.

Cloud 49

Cloud AWS Azure Data Center 49

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing.

Enterprise 76

Enterprise Cloud Serverless Artificial Intelligence 76

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! IoT, geospatial, ML, streaming, etc.), The solution is the Akkio data locality layer, and “ sharding the shards ”! Kai Waehner.

Technical Review 36

Technical Review Technology Report Open Source 36

Altexsoft

OCTOBER 21, 2022

process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Its very architecture is centered around the idea of painless expansion the moment your business needs it. Red Hat , acquired by IBM.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JUNE 20, 2019

And the first of them is IoT applications. Here, heavy data from IoT devices can be transferred to Redis to process these records before keeping them in any steady data storage. Also, Redis is a perfect option for microservice architectures with scalable cloud hosting. It also performs well for product catalogs.

Systems Review 85

Systems Review System Software Review Open Source 85

Daniel Bryant

NOVEMBER 25, 2019

Broadly speaking, I heard three definitions of the edge at KubeCon: Device edge e.g. IoT, tablet, phone etc Point of Presence (PoP) edge Kubernetes edge, or more traditionally: the data center, cluster, or network edge The device edge tends to focus on IoT devices in the field (the remote “edge”) connecting into the cloud or a Kubernetes cluster.

Cloud 10

Cloud IoT Conference Network 10

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., CDF is a real-time streaming data platform that collects, curates, analyzes and acts on data-in-motion across the edge, data center and cloud.

Architecture 124

Architecture Data Security Technical Review 124