Linux Today
In this article, we are going to review some of the best IPAM software you can use to manage IP addresses in your Linux network.
The post 8 Best IP Address Management Tools for Linux Network appeared first on Linux Today.
This article includes some of the best Linux bandwidth monitoring tools, from small tools to complete monitoring solutions.
The post 19 Best Linux Bandwidth Monitoring Tools for Network Analysis appeared first on Linux Today.
In this guide, we explore some of the tips that you can implement to safeguard your SSH servers from brute-force attacks.
The post 5 Best Practices to Prevent SSH Brute-Force Login Attacks in Linux appeared first on Linux Today.
Learn how to install Firefox 114 on Ubuntu and Linux Mint, so you can take advantage of the latest features and improvements.
The post How to Install Firefox 114 on Ubuntu and Linux mint appeared first on Linux Today.
In this article, we will show you how to install and set up the search and analytics engine Elasticsearch on Debian 11.
The post How to Install and Set Up Elasticsearch on Debian 11 appeared first on Linux Today.
In this guide, you’ll learn how to dual boot Fedora and Windows, so you can set up Fedora Workstation alongside Windows.
The post How to Install Fedora Workstation Alongside Windows appeared first on Linux Today.
Running Linux, you might run into the “failed to load module canberra-gtk-module” error. Here’s how to fix it.
The post Fixing ‘Failed to Load Module Canberra-GTK-Module’ Error appeared first on Linux Today.
In this article, you will learn how to backup and restore a PostgreSQL database as an essential aspect of database management.
The post How to Backup and Restore a PostgreSQL Database in Linux appeared first on Linux Today.
In this guide, we will use practical examples to demonstrate how to use the gzip command to compress files in Linux.
The post 10 Practical Examples of Using the Gzip Command in Linux appeared first on Linux Today.
LibreOffice 7.5.4 addresses a total of 83 bugs that have been reported by users or discovered by the LibreOffice developers. Learn more here.
The post LibreOffice 7.5.4 Office Suite Released With 80+ Bug Fixes appeared first on Linux Today.
eWEEK
Technology News, Tech Product Reviews, Research and Enterprise Analysis
I spoke with Vladislav “Vlado” Maličević, CTO of Jedox, about the 5 key points for companies to consider as they build out their artificial intelligence practice: AI is a renaissance: People will use AI to create unimaginable things and uncover what no one thought was possible AI is a partner, not an adversary: The true […]
The post Jedox CTO Vladislav Maličević on AI Strategies in the Enterprise appeared first on eWEEK.
At Cisco’s global user event, Cisco Live, held recently in Las Vegas, Cisco didn’t launch several new routers, switches, and security devices as is usually the case. Instead, the announcements were centered around platforms and cross-product integration to simplify operations while delivering more value. Cisco has a product portfolio that is arguably the broadest and […]
The post Cisco Live 2023: Cross-Product Integration appeared first on eWEEK.
The demand for artificial intelligence software (AI) has increased significantly in recent years, and organizations of all sizes are adopting artificial intelligence to stay competitive. The top AI software and services detailed in this article use artificial intelligence techniques such as generative AI, machine learning, natural language processing, computer vision, and deep learning, to solve […]
The post Best Artificial Intelligence Software 2023 appeared first on eWEEK.
I spoke with Amita Walia, CEO of Informatica, about the challenges that companies face with scaling artificial intelligence, including the need for ethics and compliance ‘guardrails.’ Among the topics we discussed: AI in the enterprise is growing rapidly, yet plenty of companies face problems with scaling and operationalizing AI. What are the difficult challenges here? […]
The post Informatica CEO Amit Walia on ‘Guardrails’ for Generative AI appeared first on eWEEK.
A large language model (LLM) is a type of artificial intelligence model that has been trained through deep learning algorithms to recognize, generate, translate, and/or summarize vast quantities of written human language and textual data. Large language models are some of the most advanced and accessible natural language processing (NLP) solutions today. As a form […]
The post What Is a Large Language Model? appeared first on eWEEK.
NVIDIA and Japanese telecommunications company SoftBank have partnered to create a platform for generative artificial intelligence (AI) and 5G/6G applications based on NVIDIA’s GH200 Grace Hopper Superchip. SoftBank plans to build data centers in Japan that, together with NVIDIA, can house generative AI and wireless apps on a shared server platform. This multi-tenant solution is […]
The post SoftBank and NVIDIA to Bring Generative AI to Telcos appeared first on eWEEK.
I spoke with Sudheesh Nair, CEO of ThoughtSpot, about how generative AI is changing the data analytics market. Among the topics we discussed: We’ve seen an explosion of interest in generative AI. How do you see this affecting data analytics? Who are the winners and losers in the data sector based on generative AI’s rise? […]
The post ThoughtSpot CEO Sudheesh Nair on Generative AI and Data Analytics appeared first on eWEEK.
Artificial intelligence, in its many forms, could greatly benefit the finance industry. However, there are some hurdles financial institutions will need to jump first.
The post Artificial Intelligence (AI) in Finance appeared first on eWEEK.
Generative AI, a type of AI that is trained to generate original content, is growing in both its consumer and business use cases. Particularly in the enterprise, generative AI is: Quickly automating and simplifying project workflows. Taking repetitive tasks off the plates of busy employees. Helping businesses maintain high quality and volume production standards. Learn […]
The post Generative AI: Enterprise Use Cases appeared first on eWEEK.
I spoke with Brandon Gleklen, Principal at Battery Ventures, about how the rise of generative AI changes the kinds of business models he seeks to invest in. Among the topics we covered: As you survey the rise of generative AI, how has it shifted your view on investing? What does it mean to build a […]
The post Battery Ventures’ Brandon Gleklen on How Generative AI Affects Tech Investment appeared first on eWEEK.
Network World
Colocation provider Cyxtera Technologies has filed for Chapter 11 bankruptcy after spending the last few months trying to find a buyer or reduce its debt load. The company will now attempt to restructure through bankruptcy or perhaps a suitor will come along to buy out the company.
Meanwhile, the company says it will be business as usual for its customers, but with the reorganization that comes with Chapter 11, it’s hard to say whether that will last, according to Bill Kleyman, an independent consultant to data-center companies.
Too many management tools that don’t integrate well and a lack of visibility into third-party systems are among the problems enterprise IT teams face when they try to manage multivendor, distributed environments.
Cisco’s Full-Stack Observably Platform is designed to collect and correlate data from application, networking, infrastructure, security, and cloud domains to provide a clear view of what’s going on across the enterprise and make it easier for enterprises to spot anomalies, preempt and address performance problems, and improve threat mitigation.
Big changes in how enterprise networks are managed and optimized are coming.
The new paradigm is all about radical simplicity and applying scarce skills to networking improvements that make a real difference. It features the convergence of different technologies, networks, applications, and key features of the cloud operating model, in turn driving simplicity, visibility, and predictability for IT professionals.
The No. 1 Challenge to IT Innovation
Innovation in IT―doing things better, faster, and more cost-effectively―is very much on the minds of enterprise companies. In a recent global study, 91% of CIOs, other senior IT decision makers, and developers reported that they are doubling down on their investments in innovation between now and 2026. The number one challenge to innovation cited by these 18,000 respondents in 34 global markets: the limits of their current technology. Yet they also say that technology is the top enabler of innovation.
Looking to harness a decade of AI/ML development Cisco this week previewed generative AI-based features it will soon bring to its Security Cloud service and Webex collaboration offerings.
Cisco said it was looking meld the network and security intelligence it has amassed over the years with the large language models (LLMs) of generative AI to simplify enterprise operations and address threats with practical, effective techniques.
The first fruits of this effort will be directed at the Cisco Security Cloud, the overarching, integrated-security platform that includes software such as Duo access control and Umbrella security as well as firewalls and Talos threat intelligence access all delivered via the cloud.
A tremendous number of enterprises and service providers view Cisco as the nexus of their network, security, and cloud operations. At the company’s Cisco Live customer and partner conference in June, Cisco boldly connected the dots of a network- and cloud-based ecosystem that ties together innovative technologies to drive productivity, resiliency, and growths, while also showcasing its artificial intelligence (AI) capabilities.
Cisco’s market share for ethernet switches was 43.3% for 2022, according to IDC’s tracker report, while combined service provider and enterprise router revenue accounted for 35.1% of the total market. Network World named Cisco #1 in its 2022 list of “the top 10 vendors providing corporate networks with everything from SASE and NaaS to ZTNA and network automation.”
The reliability of services delivered by ISPs, cloud providers and conferencing services (a.k.a. unified communications-as-a-service (UCaaS)) is an indication of how well served businesses are via the internet.
ThousandEyes is monitoring how these providers are handling the performance challenges they face. It will provide Network World a roundup of interesting events of the week in the delivery of these services, and Network World will provide a summary here. Stop back next week for another update, and see more details here.
Semiconductors, especially CPUs, are immensely complex creations all done at the microscopic level. That there aren’t more bugs, for lack of a better word, is a testament to the efforts that these chipmakers put in to delivering solid products. But occasionally, something slips by.
AMD has issued an alert that an older processor line has a minor error. The problem exists in its Epyc 7002 line, code-named Rome, which was released three years ago. The bug, first noted on a Reddit thread, says that servers running Rome-era chips will hang after 1,044 days of uptime or nearly three years.
Cisco this week took the wraps off a security service edge (SSE) offering that aims to help enterprises securely connect growing edge resources, including cloud, private and SAAS applications.
Along with the SSE package, the vendor made two additional application security-related announcements at its Cisco Live! customer event. It unveiled Cisco Multicloud Defense, which is a new service designed to protect cloud service workloads, and it upgraded Panoptica, its cloud-native security application development software.
Software-defined networking (SDN) is a network management technique that centralizes control of network appliances in software. SDN makes network management easier in two ways: it allows networks to be administered as a whole, rather than on a device-by-device basis, and it allows for administrative work to be automated and conducted on the fly in response to changing network needs and conditions.
The first SDN system to gain traction was the open source OpenFlow protocol, which rolled out in 2011. There are now a number of possible SDN models, each providing significant benefits when compared to traditional networking.
Cisco is taking the wraps off an overarching architecture it expects will let enterprise customers manage and control its vast arsenal of networking hardware and software for years to come.
The Cisco Networking Cloud, unveiled at this week’s Cisco Live! customer event, will involve a broad range of software and cloud system integration and has as its ultimate, if somewhat vague, goal to converge networking platforms over time, culminating in a unified management platform that works on premises or cloud for improved visibility and enterprise automation, according to Jonathan Davidson, executive vice president and general manager of Cisco Networking.
Microsoft is launching its first cloud region in Italy, the company said on Monday.
The new region, which will have three data centers, will be located in Lombardy — an administrative area in Northern Italy whose capital is Milan.
Enterprises will be able to start using the new region using Microsoft Azure or Microsoft 365 in the coming weeks, the company said, adding that other services such as Dynamics 365 and Power Platform are expected to follow soon.
There are always things to wait for on a Linux system—upgrades to complete, processes to finish, coworkers to log in and help resolve problems, status reports to be ready.
Fortunately, you don’t have to sit twiddling your thumbs. Instead, you can get Linux to do the waiting and let you know when the work is done. You can do this with a script or you can use the wait command, a bash built-in that watches for processes running in the background to complete.
Crafting waiting within scripts
There are many ways to craft waiting within a script. Here’s a simple example of simply waiting for a period of time before moving on to the next task:
Telecom ministers from at least 18 EU countries have rejected a proposal by network operators to have major technology companies fund the rollout of 5G and broadband.
The proposal, put forward by telecom lobbying groups GSMA and ETNO, which represent 160 operators across Europe, says that big tech companies that account for more than 5% of a provider’s peak average internet traffic should help foot the bill for rolling out the services across Europe.
The EU launched a consultation on the issue in February 2022. According to a report by Reuters, telecom ministers met with EU Commissioner Thierry Breton to raise their objections, with those who are against the proposal saying there is a lack of analysis to prove the measure would actually work, with some citing concerns that tech companies would end up passing these costs onto the consumer.
IT organizations that apply artificial intelligence and machine learning (AI/ML) technology to network management are finding that AI/ML can make mistakes, but most organizations believe that AI-driven network management will improve their network operations.
To realize these benefits, network managers must find a way to trust these AI solutions despite their foibles. Explainable AI tools could hold the key.
A survey finds network engineers are skeptical.
In an Enterprise Management Associates (EMA) survey of 250 IT professionals who use AI/ML technology for network management, 96% said those solutions have produced false or mistaken insights and recommendations. Nearly 65% described these mistakes as somewhat to very rare, according to the recent EMA report “AI-Driven Networks: Leveling Up Network Management.” Overall, 44% percent of respondents said they have strong trust in their AI-driven network-management tools, and another 42% slightly trust these tools.
Data center developers are under pressure to expand their horizons when it comes to choosing sites for new construction. Land prices, availability of power and bandwidth, and pushbacks from neighbors are among the factors that are driving developers to seek new regions.
Northern Virginia, for example, is home to more data centers than any other part of the world, with 275 and more on the way. But the region is running out of space and available power, and residents are running out of patience for these resource-intensive facilities that consume growing amounts of power and water, according to the Washington Post.
After initial efforts to attract semiconductor manufacturers to India stumbled, the government is trying again, keeping hopes alive that the country could emerge as a major chip maker at a time when a US-China trade war is transforming the industry and stirring worries about the technology supply chain.
This week, after several potential deals fell through, the government is re-inviting applications to a program aimed at developing semiconductor manufacturing facilities and offering total subsidies of around $10 billion (₹76,000), according to a statement from India’s IT ministry.
Cisco plans to buy Armorblox, a six-year-old AI vendor, to help create “an AI-first Security Cloud.”
“Leveraging Armorblox’s use of predictive and Generative AI across our portfolio, we will change the way our customers understand and interact with their security control points,” wrote Raj Chopra senior vice president and chief product officer for Cisco Security in a blog announcing the pending acquistion.
While securing email was Armorblox’s first application of its AI techniques, they might also be applied to attack prediction, rapid threat detection, and efficient policy enforcement, Chopra wrote. “Through this acquisition though, we see many exciting broad security use cases and possibilities to unlock.”
Google Cloud has announced services for enterprises to more easily and securely connect distributed multicloud resources.
The chief service, Cross-Cloud Interconnect, provides dedicated high-speed connections between the Google network and customer networks hosted in other clouds—Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, or Alibaba.
“Cross-Cloud Interconnect lets organizations connect to any public cloud through a highly secure, dedicated-bandwidth network that has a much lower latency than going through an internet-based VPN solution,” said Muninder Sambi, vice president and general manager of networking for Google Cloud. “With the new service, customers can run their applications on multiple clouds, they can host SaaS applications that are multicloud, and they can also migrate workloads from one cloud to another.”
More than a year ago, Nvidia CEO Jensen Huang said he was open to the possibility of having Intel manufacture Nvidia’s GPUs through Intel's foundry services program.
At the time, Huang was noncommittal beyond saying that Nvidia was looking at the possibility. Now things are getting more concrete. During a question-and-answer session at the Computex tradeshow in Taipei, Taiwan, Huang said he had recently received good results for an Intel test chip based on the company's next-generation process node.
"You know that we also manufacture with Samsung, and we're open to manufacturing with Intel. [Intel CEO Pat Gelsinger] has said in the past that we're evaluating the process, and we recently received the test chip results of their next-generation process, and the results look good," Huang said.
A software-development team caused quite a stir recently with a blog post describing how it abandoned a serverless architecture project in favor of a monolith—and slashed cloud infrastructure costs by 90% in the process.
But this wasn’t just any team; the post was written by Marcin Kolny, a senior software-development engineer at Amazon Prime Video.
Since Amazon is one of the leading advocates for serverless computing, not to mention the market leader in cloud services, the post was viewed as either a commendable act of openness or the very definition of throwing your company under the bus. Either way, it triggered a passionate back and forth on social media platforms that focused on larger questions:
Qualcomm has announced it is shifting its focus from providing chips exclusively for communications devices and doubling down on its efforts to support AI workloads.
The company is transitioning to becoming an “intelligent edge computing” firm, Alex Katouzian, a senior vice president at Qualcomm, said during a keynote speech at the Computex show in Taipei Tuesday.
AI workloads require a lot of compute power and in February, Qualcomm announced the Snapdragon X75, its latest 5G modem component that the company said will be the world’s first modem-RF system for 5G-Advanced — a set of specifications designed to improve speed, maximize coverage, and enhance mobility and power efficiency for mobile devices. The X75 is also reportedly able to process AI workloads 2.5 times faster than its predecessor, the X70.
With Nvidia’s Arm-based Grace processor at its core, the company has introduced a supercomputer designed to perform AI processing powered by a CPU/GPU combination.
The new system, formally introduced at the Computex tech conference in Taipei the DGX GH200 supercomputer is powered by 256 Grace Hopper Superchips, technology that is a combination of Nvidia’s Grace CPU, a 72-core Arm processor designed for high-performance computing and the Hopper GPU. The two are connected by Nvidia’s proprietary NVLink-C2C high-speed interconnect.
Nvidia has unveiled a new DGX GH200 AI supercomputer, underpinned by its new Grace Hopper superchip and targeted toward developing and supporting large language models.
“DGX GH200 AI supercomputers integrate Nvidia’s most advanced accelerated computing and networking technologies to expand the frontier of AI,” Nvidia CEO Jensen Huang said in a blog post.
The convert command from the ImageMagick suite of tools provides ways to make all sorts of changes to image files. Among these is an option to change the resolution of images. The syntax is simple, and the command runs extremely quickly. It can also convert a image from one format to another (e.g., jpg to png) as well as blur, crop, despeckle, dither, flip and join images and more.
Although the commands and scripts in this post mostly focus on jpg files, the convert command also works with a large variety of other image files, including png, bmp, svg, tiff, gif and such.
Basic resizing
To resize an image using the convert, you would use a command like this:
Intel has announced a shift in strategy that impacts its XPU and data-center product roadmap.
XPU is an effort by Intel to combine multiple pieces of silicon into one package. The plan was to combine CPU, GPU, networking, FPGA, and AI accelerator and use software to choose the best processor for the task at hand.
That’s an ambitious project, and it looks like Intel is admitting that it can’t do it, at least for now.
Jeff McVeigh, corporate vice president and general manager of the Super Compute Group at Intel, provided an update to the data-center processor roadmap that involves taking a few steps back. Its proposed combination CPU and GPU, code-named Falcon Shores, will now be a GPU chip only.
It’s been 17 years and counting since Nemertes first wrote about the logic of integrating event response in the enterprise: bringing together the security operations center (SOC) and network operations center (NOC) at the organizational, operational, and technological levels. Needless to say, this has not happened at most organizations, although there has been a promising trend toward convergence in the monitoring and data management side of things. It’s worth revisiting the issue.
Why converge?
The arguments for convergence remain pretty compelling:
- Both the NOC and SOC are focused on keeping an eye on the systems and services comprising the IT environment; spotting and understanding anomalies; and spotting and responding to events and incidents that could affect or are affecting services to the business.
- Both are focused on minimizing the effects of events and incidents on the business.
- The streams of data they watch overlap hugely.
- They often use the same systems (e.g. Splunk) in managing and exploring that data.
- Both are focused on root-cause analysis based on those data streams.
- Both adopt a tiered response approach, with first-line responders for “business as usual” operations and occurrences, and anywhere from one to three tiers of escalation to more senior engineers, architects, and analysts.
- Most crucially: When something unusual happens in or to the environment (that router is acting funny), it can be very hard to know up front whether it is fundamentally a network issue (that router is acting funny – it has been misconfigured) or a security issue (that router is acting funny – it has been compromised) or both (that router is acting funny – it has been misconfigured and is now a serious vulnerability). Having fully separate NOC and SOC can mean duplicative work as both teams pick something up and examine it. It can mean ping-ponging incidents that bounce from one to the other, or incidents that neither picks up, thinking the other has or will.
At the very least, the lower tiers of separate NOC and SOC operations should be converged, so that there is neither duplication nor a game of hot potato as staff try to figure out what a problem actually is, and whether the response will be network focused, security focused, or both. Maintaining separate or semi-separate escalation paths is supportable given that lower-level convergence.
The US Commerce Department should put trade restrictions on Chinese memory chip maker Changxin Memory Technologies (CXMT), say lawmakers on the US House of Representative’s Committee on China.
The comments come in the wake of the Chinese government's ban on the use of some Micron chips in certain sectors, citing concerns that the products pose a significant security risk to the country’s key information infrastructure supply chain.
However, these claims are “not based in fact” White House press secretary Karine Jean-Pierre told reporters, adding that the Department of Commerce was engaged directly with the PRC (People's Republic of China) to detail the administration’s views on the ban.
Intel has launched a field-programmable gate array—Agilex 7 with R-Tile—that features PCIe 5.0 and CXL capabilities for processing networking workloads.
The Agilex FPGA is primarily used in smartNICs that offload the processing of network traffic from the CPU, thus freeing up CPU capacity for other tasks. Intel sees Agilex playing a role in data centers, telecommunications, and financial services, among other high-traffic industries.
Agilex is an evolution of the old Stratix and Arria FPGA lines, and it’s designed to reflect changes in performance and features. Agilex 7 is the second most powerful FPGA family within the Agilex portfolio.
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