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Launched today, Stratoshark applies the Wireshark user interface and workflow to system-level data, allowing users to analyze system calls, inter-process communication, networking, command execution and user activity in the cloud. eBPF At its core, Stratoshark usesFalco libraries developed by Sysdig. Whats inside Stratoshark?
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. It may be difficult to train developers when most junior jobs disappear.
Facebook’s parent company, Meta Platforms, helped develop the 7700 and recently said it would be deploying the Etherlink switch in its Disaggregated Scheduled Fabric (DSF), which features a multi-tier network that supports around 100,000 DPUs, according to reports. specification before the end of the year.
S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. In the 1970s, five formerIBMemployees developed programs that enabled payroll and accounting on mainframe computers. As a result, they called their solution a real-time system, which is what the R in the product name SAP R/1 stood for.
Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. We’ll cover: ✅ Data Management Best Practices: Streamline operations and reduce manual tasks with centralized, connected systems.
I worked on CPU cores, memory, IO, and platform aspects of the system, spanning multiple architectures across x86 and Itanium, and products including CPU and GPU, most importantly shaping the Xeon product line. This is not Qualcomms first try at server CPUs. More recently, the company acquired a company called Nuvia in 2021 for $1.4
It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill. An example of the new reality comes from Salesforce.
ZT Systems founder and CEO Frank Zhang will become the senior vice president of ZT Manufacturing, reporting to Norrod. AMD said the acquisition will enable a new class of end-to-end AI offerings based on the combination of AMD CPU, GPU and networking silicon, open-source AMD ROCm software and rack-scale systems capabilities.
He provided the details during his keynote at the companys GTC AI developer conference, being held this week in San Jose, California. Nvidia will ship the Vera Rubin NVL144 system in the second half of 2026, he said; it will be three times faster than the Blackwell Ultra NVL72 system which will ship in the second half of this year.
Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Key metrics to monitor when leveraging two container orchestration systems.
AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot.
When it comes to developing highly intelligent AI agents, one might not think of combining open systems technology and the theoretical super-logic behind a movie character, but Ciscos Outshift development team is doing just that. The integration nightmare : Most enterprises have dozens of disjointed tools.
Data centers this year will face several challenges as the demand for artificial intelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new data center developments continues to grow.
But as with any transformative technology, AI comes with risks chief among them, the perpetuation of biases and systemic inequities. To guide AIs development responsibly, we need to think of it not just as a tool, but as a growing child shaped by its environment, for better or worse. This analogy might seem odd, but its instructive.
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
HPE said it would add features to its Nvidia co-developed Private Cloud AI package, which integrates Nvidia GPUs, networks, and software with HPEs AI memory, computing and GreenLake cloud support. The developers edition is designed as an accessible starting point for AI development capabilities.
The Scorpio switches aim to deliver maximum system utilization and uptime for scale-out PCIe 6 connectivity and scale-up GPU clustering in AI servers. Founded in 2017, Astera Labs is a semiconductor company that specializes in developing connectivity technologies for AI and cloud infrastructure. Wireshark 4.4
More than $1 trillion was wiped off US technology stocks with frontier model developers such as OpenAI, Alphabet, and Meta caught off guard by this Chinese startup. Despite controversy about the models development, DeepSeek has greatly accelerated the commoditization of AI models.
Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Smaller models, on the other hand, are more tailored, allowing businesses to create AI systems that are precise, efficient, robust, and built around their unique needs, he adds.
Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek
Join Dr. Joe Perez, Senior Systems Analyst at NC DHHS, and Chief Technology Officer, SolonTek, to learn how you can capitalize on your ideas by blending internal with external while leveraging them into a cohesive strategy for both the short term and the long term. What value do you see in your data?
billion in 2026 though the top use case for the next couple of years will remain research and development in quantum computing. This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale.
While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks. CIOs perennially deal with technical debts risks, costs, and complexities.
Multiple standards and certification efforts made progress in 2024, helping networks to be more reliable and deliver more bandwidth.One of the most significant developments was the maturation of 800 Gigabit Ethernet (800GbE). systems towards the end of 2025. The IEEE P802.3df taskforce released version 1.0 Thats where LPOs will fit in.
This maximizes the value of their core systems and drives meaningful business outcomes,” the survey stated. According to the IBV researchers, 74% of respondents said that they are integrating AI into mainframe operations to enhance system management and maintenance.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases.
In a significant development for digital infrastructure in India, Bharti Airtel has landed the 2Africa Pearls submarine cable, delivering 100 Terabits per second of international network capacity for the country. This cable system is part of a broader global effort to enhance international digital connectivity.
The group will develop software-defined products and factories, combining industrial technology with AI-supported engineering and manufacturing expertise. Thanks to simulation capabilities, generative AI, and model-based systems engineering (MBSE), KION can rethink and further develop its engineering processes.
Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.
Those advancing to the next stage could receive up to $15 million to develop comprehensive research and development roadmaps, followed by up to $300 million in the final stage, for building and demonstrating their utility-scale quantum systems. Thats an opportunity to accelerate the development of the technology, he says.
As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.
Over the years, World Backup Day has gained recognition, and, as someone who spent over 30 years as a Unix/Linux sysadmin and data security professional, I can say that very few if any IT departments wait for March 31 to review and evaluate their system and data reliability.
According to a release issued by DHS, “this first-of-its kind resource was developed by and for entities at each layer of the AI supply chain: cloud and compute providers, AI developers, and critical infrastructure owners and operators — as well as the civil society and public sector entities that protect and advocate for consumers.”
Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. Zeroing in on AI developers in particular, everyone is jumping on the bandwagon. Plus, unlike traditional automations, agentic systems are non-deterministic. Not all of that is gen AI, though.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse.
Creating systems for making quick changes to products or business processes helps deploy new ones faster. Are you replacing hand-coding with a low-code platform for your development team? Forget key requirements and you'll miss critical development deadlines or need to hire developers to finish the job.
Tech+ builds on the ITF+ certification and has been developed for individuals as well as academic institutions, training organizations, and businesses, CompTIA says. Software development: Comprehend programming language categories, interpret logic, and understand the purpose of programming concepts.
According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service. Use case 2: software development PGIM also uses gen AI for code generation, specifically using Github Copilot. The real value comes from enabling the entire process.
Allegis had been using a legacy on-premises ERP system called Eclipse for about 15 years, which Shannon says met the business needs well but had limitations. Allegis had been using Eclipse for 10 years, when the system was acquired by Epicor, and Allegis began exploring migrating to a cloud-based ERP system.
It also includes support for high-speed optical network connections Open System Form Factor Plus (OSPF) and Quad Small Form Factor Pluggable Double Density (QSPF-DD). This is accomplished with a common operating system, P4 programmable forwarding code, and an SDK.
If you want to make your development team squirm, ask them about database schema changes or API versioning. Most development teams struggle with changing database schemas and updating API versions without breaking existing code. Alex Rasmussen is an expert in helping teams through these struggles. Handling hard schema changes safely.
Now it has come out with AI blueprints, essentially pre-built templates that give developers a jump start on creating AI systems. But developers will want to customize and modify them, so they can make the necessary changes that they need.
NextHop AI, founded by former Arista Networks Chief Operating Officer Anshul Sadana, announced this week that it has secured $110 million in funding to develop highly customized networking solutions specifically for the worlds largest cloud providers. Today, whats happening is the cloud companies have their own operating system, Sadana said.
Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The chatbot wave: A short-term trend Companies are currently focusing on developing chatbots and customized GPTs for various problems. Lets look at some specific examples.
14, providing users of the platform with a long list of updates and improvements that impact nearly every aspect of IT and system operations. Developer tools and container innovation RHEL 9.5 marks a significant shift in developer tools with Java Developer Kit (JDK) 17 becoming the default Java implementation, replacing JDK 11.
The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. How to address technical debt and retrofit existing systems to support better evolution. Tuesday January 12th, 2021 at 11AM PST, 2PM EST, 7PM GMT.
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