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The open-source Wireshark network protocol analyzer has been a standard tool for networking professionals for decades. In recent years, organizations have increasingly moved workloads to the cloud, where they have not had the same network visibility. The libpcap library is an open-source tool for network traffic capture.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.
At the Open Networking & Edge Summit in London, which is co-located with the Kubecon conference, LF Networking detailed an ambitious strategic roadmap that emphasizes the convergence of opensource, artificial intelligence, and cloud-native technologies as the foundation for next-generation networking infrastructure.
Although SUSE has been in the opensource game for decades, theyve been getting increased attention with some seasoned leadership coming from competitor Red Hat, its acquisition of much-loved Rancher, and changing expectations/norms in the opensource ecosystem. Last week, SUSE hosted SUSECon 25 in Orlando, FL.
When we initiated the project, the concept and its potential seemed quite ambitious, akin toTony Stark creating his Iron Man suit, with JARVIS used as a reference point for tackling similar challenges in the complex cloud-native environment, Kalpage said. The expertise gap : No human can master every component in todays cloud stack.
NetBox Labs is the lead commercial sponsor behind the widely deployed opensource NetBox technology, which is used for modeling and documenting networks. NetBox Labs provides commercially supported services for NetBox including cloud and enterprise offerings. The company was spun out of DNS platform provider NS1 in 2023.
Its expertise in large language models along with Red Hat’s ability to support these models across the hybrid cloud aligns with Red Hat’s stated goal of making gen AI more accessible to more organizations. Red Hat intends to democratize the power of AI through open-source-licensed models that can run anywhere.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.
It arrives alongside the announcement of SAP’s Open Reference Architecture project as part of the EU’s IPCEI-CIS initiative. It’s an open secret that even proprietary software contains opensource components these days, and major vendors are, to varying extents, supporting or participating in opensource projects.
Coming on the heels of its acquisition of Alfresco, which we blogged about here, just months ago, Hyland will soon be the home for the two most widely deployed opensource […]. The deal is expected to close in April or May.
Interest in the open-source network operating system SONiC is rising as major networking vendors and start-ups look to offer resources to help enterprises give SONiC a try. The Linux-based NOS was created by Microsoft for its Azure data centers and then open-sourced by Microsoft in 2017. What is SONiC? Who created SONiC?
The Open Infrastructure Foundation is out with the release of StarlingX 10.0, a significant update to the open-source distributed cloud platform designed for IoT, 5G, O-RAN and edge computing applications. A container registry is a central repository where an operator can pull container images for cloud deployment.
Over the last several years, NetBox has established itself as a widely used open-source tool for understanding and modeling networks. NetBox Labs provides commercially supported services for NetBox including cloud and enterprise offerings. NS1 was subsequently acquired by IBM. NS1 was subsequently acquired by IBM. Back in Nov.
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificial intelligence capabilities. He explained that the ASIC architecture is different between different vendors such as Cisco, Marvell and Nvidia.
Broadcoms decisions to replace perpetual VMware software licenses with subscriptions and to eliminate point products in favor of an expensive bundle of private cloud tools are driving longtime VMware customers to look for an exit strategy. For customers looking elsewhere, theres no shortage of alternatives. Lets talk about risk reduction.
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Moving applications between data center, edge, and cloud environments is no simple task. Typically, IT must create two separate environments.
Broadcom on Tuesday released VMware Tanzu Data Services, a new “advanced service” for VMware Cloud Foundation (VCF), at VMware Explore Barcelona. VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” Not at all.”
Modern virtualization isnt just about abstracting any one single piece of hardware, but also about abstracting larger clusters in cloud deployments. There are many different ways of doing virtualization in the cloud, and among the most common approaches is to use the open-source Kubernetes container orchestration system.
405B workload compared to the companys H200 NVL8, which is based on the Hopper architecture. In the latest round of benchmarks, the three year old architecture still managed to achieve a 60% performance boost over last year on the Llama 2 70B workload. That isnt to say that Hopper is lagging. In this case, its agentic AI.
Open-source powerhouse Red Hat jumped into the generative AI space three months ago, announcing a new AI-focused vision for its Linux operating system at its annual summit. RHEL AI is Red Hat’s solution to the problems enterprises have building and deploying AI across hybrid clouds and the high costs of training and inference.
But like Linux, Kubernetes, SONiC and other open-source technologies, the Internet of Agents will feature open-source community development, Pandey said. This third wave of AI promises to transform workflows wholesale.7
Initially, I would expect most AI workloads will be in the public cloud, as opposed to on premise, given the high cost and potentially low utilization of AI infrastructure in private data centers, says Fung. As enterprises get a better sense of AI workload utilization, they may bring the workloads back on premises.
NetBox Labs is the primary commercial sponsor behind the widely used open-source NetBox technology , which is often used for modeling, documenting, and architecting networks. NetBox Assurance is delivered through NetBox Enterprise or NetBox Cloud, with NetBox Cloud being the more popular commercial offering.
This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificial intelligence. Sharma added that hyperscale architecture is typically based on Layer-3 features and BGP. Read more networking news Ciena and Arelion achieve 1.6
The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. You build your model, but the history and context of the data you used are lost, so there is no way to trace your model back to the source. Imagine that you’re a data engineer.
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. AI cloud visibility automatically uncovers AI assets comprising custom-built AI applications across your distributed environment, including unsanctioned AI workloads.
Google plans to use Trillium in its AI Hypercomputer, a supercomputing architecture designed for cutting edge AI-related workloads, and will make the chips available to enterprises by the end of the year. MXUs are part of the TPU chip architecture. Cloud Computing, Generative AI, Google Cloud Platform
The era of cloud-native transformation is here. Cloud-native is core to modern IT infrastructure, thanks to the power of the Kubernetes distributed compute backbone.
Organizations must decide on their hosting provider, whether it be an on-prem setup, cloud solutions like AWS, GCP, Azure or specialized data platform providers such as Snowflake and Databricks. The choice of vendors should align with the broader cloud or on-premises strategy.
Oracle has partnered with telecommunications service provider Telmex-Triara to open a second region in Mexico in an effort to keep expanding its data center footprint as it eyes more revenue from AI and generative AI-based workloads. billion quarterly in cloud infrastructure. CloudArchitecture, Cloud Computing, Generative AI
This change affects the entire IT architectural stack and impacts everything youre currently doing from business transformation to digital transformation and more. To future-proof your IT stack, youll also want to consider the role opensource will play within the stack, as well as emerging technologies such as quantum computing.
The open-source eBPF (extended Berkeley Packet Filter) technology has become one of the most critical foundational elements of networking with Linux over the last decade. The open-source eBFP technology enables users to run code safely in the Linux kernel. At the eBPF Summit on Sept. At the eBPF Summit on Sept.
They combine cloud services from different providers in a targeted way to exploit the advantages of different platforms. For years, outsourcing IT processes to the cloud has been considered an essential step in the digitalization of companies. They combine public cloud services from AWS, Microsoft Azure or Google Cloud, for example.
The topics of technical debt recognition and technology modernization have become more important as the pace of technology change – first driven by social, mobile, analytics, and cloud (SMAC) and now driven by artificial intelligence (AI) – increases. Which are not longer an architectural fit? Which are obsolete?
Nokia is offering customers an alternative way to set up data center networks by expanding its data center fabric package to support the open-source Software for Open Networking in the Cloud ( SONiC ). The SONiC community has grown significantly since and now features some 4,000 contributors and 28 paying members.
The Data Act aims to create new markets by making available device data not just to manufacturers but also users and third parties, it regulates among other things fair contract terms for data sharing and specific requirements to enable switching between cloud providers.
Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart. Now, it will evolve again, says Malhotra.
fact, China just unveiled DeepSeek with an advanced DeepSeek-R1 open-source, open-weight model that runs on a fraction of compute power used by ChatGPT, Anthropic and Gemini models. Pivot to a tech stack preferably opensource that fits your IT landscape and does not require a major overhaul to retrofit.
AGNTCY plans to define specifications and reference implementations for an architecture built on open-source code that tackles the requirements for sourcing, creating, scaling, and optimizing agentic workflows. It automates policy creation, optimization, and enforcement across workloads.In
(Temporal Photo) Temporal , a Seattle startup that helps companies write and run cloud applications, raised $146 million. What Temporal does: Temporals open-source microservices orchestration platform replaces ad-hoc systems to help developers reduce time spent on scalability and reliability. The company is now valued at $1.72
As CIOs seek to achieve economies of scale in the cloud, a risk inherent in many of their strategies is taking on greater importance of late: consolidating on too few if not just a single major cloud vendor. C-suite executives betting on a primary cloud provider are also worried about reducing their options in the long term.
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