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The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented data centers. A reference architecture provides the full-stack hardware and software recommendations. However, there is another advantage, and that has to do with scale.
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. Ensure security and access controls.
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.
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. Whats inside Stratoshark? eBPF At its core, Stratoshark usesFalco libraries developed by Sysdig.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless applicationarchitecture.
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Just as DevOps has become an effective model for organizing application teams, a similar approach can be applied here through machine learning operations, or “MLOps,” which automates machine learning workflows and deployments.
S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. 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. The name S/4HANA isnt the only thing that reflects the close integration of the new ERP system with the database.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy applicationsystems. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse. The solutionGenAIis also the beneficiary.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.
Containers power many of the applications we use every day. 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.
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. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. With AI-driven network management and optimization capabilities, enterprises will be able to prioritize traffic and application performance based on user needs and business requirements, according to IDC.
Enterprise architecture (EA) has evolved beyond governance and documentation. Establish clear roles and responsibilities for an integrated team of business, application, data and technology architects. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks. With the right tools.
Zero Trust architecture was created to solve the limitations of legacy security architectures. It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. In today’s digital age, cybersecurity is no longer an option but a necessity.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability. Understand a distributed system and improve communication among teams.
Supermicro announced the launch of a new storage system optimized for AI workloads using multiple Nvidia BlueField-3 data processing units (DPU) combined with an all-flash array. The new Just a Bunch of Flash (JBOF) system features a 2U rack that can house up to four BlueField-3 DPUs.
Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).
Companies have historically secured OT systems which include physical security controls, HVAC systems, industrial control systems like factory automation equipment, and medical scanning equipment by air-gapping them. Enterprises also want to extract data from OT systems, which requires network connectivity.
The FortiDLP platform provides automated data movement tracking, cloud application monitoring and endpoint protection mechanisms that work both online and offline. FortiDLP expands Fortinet’s data protection efforts FortiDLP’s architecture includes several key technical components.
Project Salus is a responsible AI toolkit, while Essedum is an AI framework for networking applications. Top AI applications : Network automation leads at 57%, followed by security at 50% and predictive maintenance at 41%. LF Networking also announced the CAMARA Spring25 Meta-Release advancing the open-source telecom-focused platform.
Legacy platforms meaning IT applications and platforms that businesses implemented decades ago, and which still power production workloads are what you might call the third rail of IT estates. Thats why, like it or not, legacy system modernization is a challenge the typical organization must face sooner or later.
Later, as an enterprise architect in consumer-packaged goods, I could no longer realistically contemplate a world where IT could execute mass application portfolio migrations from data centers to cloud and SaaS-based applications and survive the cost, risk and time-to-market implications.
Cisco is boosting network density support for its data center switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing. This is accomplished with a common operating system, P4 programmable forwarding code, and an SDK.
Technology leaders in the financial services sector constantly struggle with the daily challenges of balancing cost, performance, and security the constant demand for high availability means that even a minor system outage could lead to significant financial and reputational losses. Architecture complexity. Vendor lock-in.
Among the skills individuals taking the course with learn are: IT concepts and terminology: Understand notational systems, illustrate the basics of computing, and explain the value of data and troubleshooting. Software development: Comprehend programming language categories, interpret logic, and understand the purpose of programming concepts.
Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses – they need to keep pace with the challenges facing trade and commerce nowadays. That’s why the issue is so important today.
Our vision is to be the platform of choice for running AI applications, says Puri. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications. The updated product also has enhanced security features, including LLM guardrails.
AI factories are specified data centers emphasizing AI applications as opposed to traditional line of business applications like databases and ERP. The architecture aims to optimize deployment speed, performance, resiliency, cost, energy efficiency and scalability for current- and future-generation data centers.
CEOs and CIOs appear to have conflicting views of the readiness of their organizations’ IT systems, with a large majority of chief executives worried about them being outdated, according to a report from IT services provider Kyndryl. In tech, every tool, software, or system eventually becomes outdated,” he adds.
At a time when technology innovation cycles are getting shorter, we will struggle to keep pace if we have to navigate around legacy systems that act as barriers to speed and agility. Over time the speed and agility barriers associated with the ERP spread to other systems as they, in turn, formed an expanding wave of technical debt.
NetBox: From documentation to operational intelligence At its core, NetBox functions as the authoritative system of record for network infrastructure configuration, serving organizations ranging from small teams to Fortune 100 enterprises. This architectural approach has proven particularly valuable for organizations with segmented networks.He
Its no secret that more modern approaches to remote access have been usurping VPNs as organizations adapt to the realities of a more distributed workforce, increasingly cloud-based applications, and heightened security threats. Its really access to an individual resource or application instead of a whole network segment.
VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” VMware Tanzu RabbitMQ: “Secure, real-time message queuing, routing, and streaming for distributed systems, supporting microservices and event-driven architectures.” Not at all.”
Zscaler eliminates this risk and the attack surface by keeping applications and services invisible to the internet. This approach stops encrypted threats from reaching critical applications and systems, providing proactive protection that doesnt rely on shared network access.
As 2025 kicked off, I wrote a column about the network vendor landscape specifically, which networking players will step up and put their efforts into finding new applications with solid business benefits that could enable a network transformation. Its not an application, but an applicationarchitecture or model.
AI servers are advanced computing systems designed to handle complex, resource-intensive AI workloads. For instance, ML can be used for predictive maintenance, recommender systems, security scans and fraud and anomaly detection. Edge AI: Some applications need to run as close to real-time data creation as possible.
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. Their system is already available on Amazon Braket. QuEras system runs slower than alternatives but prioritizes error correction quality.
The fact is that within enterprises, existing architecture is overly complex, often including new digital systems interconnected with legacy systems. This hybrid architecture is a combination of best and bad practice. Strong alignment of IT and cyber strategy, however, is often an exception rather than a rule.
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. Reasoning also helps us use AI as more of a decision support system, he adds. Multi-agent systems Sure, AI agents are interesting.
The growing demand for real-time data to power AI applications is compelling businesses to reevaluate their traditional data architectures. Legacy systems typically rely on separate platforms for transactional and analytical processing, leading to inefficiencies and delayed insights.
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.
Lightmatter has announced new silicon photonics products that could dramatically speed up AI systems by solving a critical problem: the sluggish connections between AI chips in data centers. Lightmatters approach could flatten this architecture. The technology could also impact energy consumption in data centers.
Merchants had to navigate complex toll systems imposed by regional rulers, much as cloud providers impose egress fees that make it costly to move data between platforms. Just as ancient trade routes determined how and where commerce flowed, applications and computing resources today gravitate towards massive datasets.
Rather than discuss “legacy systems,” talk about “revenue bottlenecks,” and replace “technical debt” with “innovation capacity.” For example: Direct costs (principal): “We’re spending 30% more on maintaining outdated systems than our competitors.” So this is the conversation starter that will get the boardroom’s attention.
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