Rafay Systems | June 03, 2022
Rafay Systems, the leading Kubernetes Operations platform supplier, announced today that the Rafay Kubernetes Operations Platform can now orchestrate Windows worker nodes with Linux on AMD64 (x64) and ARM architectures (KOP). As a result, IT and cloud operations/SRE teams can now ease Kubernetes operations from the cloud to the edge with similar workflows, automation, and tools, regardless of the underlying architecture or operating systems (OS), such as Linux/AMD-64, Linux/ARM-64, or Windows/AMD-64.
As businesses upgrade their infrastructure, they're finding that different machines are needed for different sorts of applications, such as Windows, Linux, and ARM. As a result, businesses face increased expenses and resource limits as teams struggle to configure, implement, and manage the continuous maintenance necessary for updates, integrations, and patching, to name a few examples. These issues are exacerbated at the edge, where diverse designs may necessitate separate servers or virtual machines (VMs), each with its own orchestration strategy, resulting in a lack of uniformity and higher operational expenses.
Rafay enables DevOps and operations/SRE teams to expedite the conversion of traditional Windows apps to a cloud-native architecture without the need to upgrade them by centralizing management and operations. This frees up resources for application modernization activities and saves time.
"We live in a heterogeneous IT world where most enterprises can't just start fresh on a cloud-native journey. Infrastructure and operations teams want to consolidate heterogeneous environments in order to simplify management and operations of complex IT systems. Rafay enables enterprises to leverage Kubernetes as the universal orchestrator for both containerized and VM-based applications as well as containerized applications optimized for different CPU architectures to dramatically simplify and streamline infrastructure and application operations."
Mohan Atreya, SVP Product and Solutions at Rafay Systems.
Enterprise IT and cloud operations teams don't have to maintain distinct clusters based on architecture type or operating system because the Rafay KOP unifies diverse worker nodes, reducing infrastructure and management complexity. Teams may easily leverage containers and Kubernetes to minimize cost and management overhead by combining activities into a single pane of glass.
Teams may use Rafay KOP to design consistent processes and use strong automation and tooling, regardless of the underlying architecture or operating system, to make IT operations simple, standardized, and repeatable.
Sandvine | November 11, 2021
Telenet, a leading mobile and cable broadband operator in Belgium, is driving its new "amazing customer experiences" campaign with the help of Sandvine's Application and Network Intelligence portfolio. Using a combination of real-time data, machine learning-powered analytics, and inline actions, Telenet is taming network congestion and creating high-quality application experiences across its networks by delivering innovative application and usage-based plans.
The multiyear deal means Telenet will tap Sandvine's suite of analytics-driven automation use cases to improve application performance across a growing universe of multi-access networks, devices, locations, users and ultimately 5G slices.
Bert Pelgrims, Tribe Lead Connectivity Platforms & Services, Telenet said: "The high degree of application and network intelligence we get with Sandvine's portfolio will not only reveal how our customers are experiencing applications, but will give us the context we need to further improve and monetize services as we transition to 5G and expand our Cable and WiFi networks. Our ONE-connection-total-freedom offerings —'ONE' and 'ONEup'—break down the barriers between mobile and fixed data usage, so visibility across all of our network traffic, and contextual awareness about subscribers' applications experiences, will help us enhance our digital services."
"This Application and Network Intelligence expansion deal extends our long-term relationship with Telenet. We are proud to be a part of what has made Telenet a leading mobile and fixed digital services provider in its market, with a reputation for speed, security, reliability and privacy. By leveraging contextual and predictive analytics, as well as usage-based actions to secure and monetize applications, Telenet has been able to convert real-time data into higher quality application experiences and and revenue growth."
Lyn Cantor, CEO, Sandvine
This expansion includes Sandvine's ActiveLogic Hyperscale Data Plane powered by a machine learning-based traffic classification engine, Active Network Intelligence Portal, Insights Data Storage, and Maestro Policy Engine. It builds on Telenet's existing investments in the company's analytics, network optimization, and revenue generation use cases.
About Telenet Group
As a provider of entertainment and telecommunication services in Belgium, Telenet Group is always looking for the perfect experience in the digital world for its customers. Under the brand name Telenet, the company focuses on offering digital television, high-speed Internet and fixed and mobile telephony services to residential customers in Flanders and Brussels. Under the brand name BASE, it supplies mobile telephony in Belgium. The Telenet Business department serves the business market in Belgium and Luxembourg with connectivity, hosting and security solutions. More than 3,000 employees have one aim in mind: making living and working easier and more pleasant.Telenet Group is part of Telenet Group Holding NV and is quoted on Euronext Brussel under ticker symbol TNET.
Sandvine's cloud-based Application and Network Intelligence portfolio helps customers deliver high quality, optimized experiences to consumers and enterprises. Customers use our solutions to analyze, optimize, and monetize application experiences using contextual machine learning-based insights and real-time actions. Market-leading classification of more than 95% of traffic across mobile and fixed networks by user, application, device, and location creates uniquely rich, real-time data that significantly enhances interactions between users and applications and drives revenues.
IT SYSTEMS MANAGEMENT
DIA | November 01, 2021
DIA Association has announced the integration of its oracle infrastructure with the layer 1 distributed ledger NEAR Protocol. This deployment is set to enable the development of new decentralised applications with easy access to accurate and transparent data provided by DIA.
The NEAR Protocol, live on mainnet since April 2020, is a blockchain network created and developed by the NEAR Foundation, using a proof-of-stake consensus mechanism. The NEAR ecosystem encompasses several verticals including DeFi, with dApps like Maker, Utility/Infrastructure, with tools like The Graph or games such as Near Lands. The NEAR protocol is also home to NFTs, enabling users to create, mint and sell non-fungible tokens through its engine Mintbase.
The blockchain ecosystem has seen a number of new efficiency driven chains surface, aiming to solve the scalability issue that ledgers like Ethereum are showing due to the increasing block sizes and number of daily transactions. In the last weeks, DIA has announced the integrations of its data provision with many of these new networks, including chains like Moonriver, Arbitrum, Celo, Shiden and many others.
DIA has a unique approach to data sourcing compared to other oracle suppliers. The open source oracle platform collects data at the individual trade level directly from centralised exchange APIs and on-chain from decentralized exchanges, whereas other oracle platforms aggregate a range of premium data suppliers. This allows DIA to make the sources of data fully transparent and customisable to specific use cases. It also enables the flexibility to source data for any asset, regardless of its trading volume or coverage by premium data providers.
DIA (Decentralised Information Asset) is an open-source, financial information platform that utilises crypto economic incentives to source and validate data. Market actors can supply, share and use financial and digital asset data.