This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
To succeed, Operational AI requires a modern data architecture. These advanced architectures offer the flexibility and visibility needed to simplify data access across the organization, break down silos, and make data more understandable and actionable.
In recent years, organizations have increasingly moved workloads to the cloud, where they have not had the same network visibility. Why Stratoshark matters for cloud operations There are many different ways to get visibility into the cloud today. The libpcap library is an open-source tool for network traffic capture.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester. Are they truly enhancing productivity and reducing costs?
To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.
Nobody wants to waste money on cloud services. But by failing to fully address a handful of basic issues, many IT leaders squander funds on cloud services that could be used to support other important projects and initiatives especially as AI comes along to alter the cloud economics equation.
Kyndryl and Google Cloud are expanding their partnership to help customers use generative AI to move data off the mainframe and into the cloud. Googles Gemini LLMs are integrated into the Google Cloud platform and offer AI-based help across services and workflows, Google stated.
Stephen Kaufman serves as a chief architect in the Microsoft Customer Success Unit Office of the CTO focusing on AI and cloud computing. This article was made possible by our partnership with the IASA Chief Architect Forum.
Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. Read this paper to learn about: The value of cloud data lakes as the new system of record.
NetBox Labs provides commercially supported services for NetBox including cloud and enterprise offerings. The tool employs an agent-based approach with a zero-trust architecture, making it particularly suitable for organizations with segmented networks and strict security requirements. NS1 was subsequently acquired by IBM.
Cisco and Google Cloud have expanded their partnership to integrate Ciscos SD-WAN with the cloud providers fully managed Cloud WAN service. That lets customers use existing Cisco SD-WAN security policies and controls in the Google Cloud, Cisco stated. The Cloud WAN service is designed to simplify those challenges.
As organizations globally discover new opportunities created by AI, many are investing significantly in GenAI, including as part of their cloud modernization efforts. The fact that these applications were not born in the cloud makes efforts to update them laborious at best and sometimes impossible.
IBM Institute for Business Value (IBV), in collaboration with Oxford Economics, surveyed 2,551 global IT executives to determine how mainframes are being used and prepped for increased use in AI and hybrid cloud environments. Most enterprises have built tech estates on hybrid cloudarchitecture, the researchers stated. “In
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments. Leveraging Dremio for data governance and multi-cloud with Arrow Flight. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units.
Speaking at Google Cloud Next 25 in Las Vegas, Pichai emphasized how this investment would directly support enterprise customers growing AI workloads while also enhancing core Google services. Googles reaffirmation comes amid economic uncertainty, particularly surrounding recent tariff policies. For enterprises, this changes the calculus.
However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments. 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.
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.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. IDC projects that many organizations will continue to leverage SD-WAN as a base for implementing SASE, utilizing its network optimization capabilities to deliver secure connectivity to cloud applications and services.
Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.
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.
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. Neural Magic was spun out of MIT in 2018, and it offers software and algorithms that accelerate generative AI inference workloads.
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.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. 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.
One of the most significant enablers of digital transformation is cloud computing. Strategic options for cloud adoption When it comes to cloud adoption, organizations have several strategic options to consider. Public cloud. Private cloud. Hybrid cloud. Multi-cloud.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Much of this growth is driven by investments in AI technologies, and IDC also expects cloud infrastructure spend to increase 26% compared to 2023.
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 open source, artificial intelligence, and cloud-native technologies as the foundation for next-generation networking infrastructure.
At the same time, they need to expand their cloud and security skill sets to accommodate more complex tools and technologies. The demand for AI skills is projected to persistently grow as these technologies become more central to network engineering and architectural roles.
Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.
The Zscaler ThreatLabz 2024 Encrypted Attacks Report examines this evolving threat landscape, based on a comprehensive analysis of billions of threats delivered over HTTPS and blocked by the Zscaler cloud. One notable trend explored in detail by ThreatLabz is the growing abuse of cloud services by advanced persistent threat (APT) groups.
Skills in architecture are also in high demand, as power-hungry AI systems require rethinking of data center design. Additionally, the industry is looking for workers with knowledge of cloudarchitecture and engineering, data analytics, management, and governance skills.
Nile Navs integration with the Nile Services Cloud AI-enabled Cognitive Decisions module actively monitors deployments against the sites Digital Twin and predefined plans, Kannan stated. Post-deployment, the app offers insights into network health and performance, enabling swift diagnostics and resolution, Kannan stated.
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.”
Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Containers power many of the applications we use every day.
The public cloud turns 23 this year, and enterprise migration of on-premises workloads isnt just continuing its speeding up. According to the Foundry Cloud Computing Study 2024 , 63% of enterprise CIOs were accelerating their cloud migrations, up from 57% in 2023. Which can be true if your efforts end with migration.
Fortinet has reached an agreement to buy cloud security company Lacework for an undisclosed amount. Founded in 2015, Lacework is known for its cloud-based machine learning, AI and automation technology that lets customers manage and secure cloud workflows.
The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Architecture complexity.
The CSLU is a tool used primarily in smaller, on-premises and air-gapped networks as a way to manage Cisco licenses without having to resort to the more complex cloud-based Cisco Smart Licensing.
It has now made services on its cloud-native 5G Open RAN network available in more than 120 US cities. The reality of deploying a cloud-native network. DISH’s architectural approach across network and IT domains and its pursuit of openness and componentization.
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.
We are on the cusp of one of the most significant changes in the x86 architecture and ecosystem in decades – with a new level of customization, compatibility and scalability required to meet current and future customer demands,” said Intel CEO Pat Gelsinger in a statement. However, the real threat to Intel and AMD lies on the client side.
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.
Secure Access Service Edge (SASE) is a network architecture that combines software-defined wide area networking (SD-WAN ) and security functionality into a unified cloud service that promises simplified WAN deployments, improved efficiency and security, and application-specific bandwidth policies. billion by 2025. What is SASE?
When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content