Latest news with #VMware
Business Wire
4 hours ago
- Business
- Business Wire
VergeIO and Solidigm Introduce 'The AFA Replacement Kit' to Eliminate the Complexity and Cost of Dedicated Flash Arrays
ANN ARBOR, Mich.--(BUSINESS WIRE)--VergeIO, the VMware alternative and pioneer in ultraconverged infrastructure, and Solidigm, a leader in enterprise data storage, today announced the launch of The AFA Replacement Kit—an offering designed to replace traditional all-flash arrays with a simpler, more cost-effective infrastructure solution. The AFA Replacement Kit brings together three (3) Solidigm™ 4TB enterprise SSDs and a VergeOS server license combined into one streamlined platform. Along with your servers, it's a complete, ready-to-run infrastructure solution designed to deliver performance, resiliency, and simplicity. 'Customers are tired of bloated hardware stacks and complex licensing schemes,' said Yan Ness, CEO of VergeIO. 'This kit gives them everything they need to run high-performance workloads—without the operational baggage.' The AFA Replacement Kit offers IT a turnkey alternative to aging all-flash infrastructure, reducing costs, simplifying operations, and enhancing performance through software-defined efficiency. All IT needs to do is insert the included flash drives into empty drive bays in existing servers, and they're ready to deploy VergeOS. VergeIO customers have reported reducing storage costs by a factor of ten, in addition to the added savings from eliminating expensive VMware licensing and support agreements. 'We simply inserted the drives into our existing servers, and VergeOS picked them up immediately,' said Brian Bazzell, Director of IT at the City of St. Peters, Missouri. 'It now handles all of our production data and guarantees performance for our critical workloads while protecting it automatically. We saved tens of thousands of dollars by using this approach instead of refreshing our Nimble array.' 'VergeIO's software platform unlocks the full potential of Solidigm enterprise SSDs,' said Greg Matson, Senior Vice President, Head of Products and Marketing at Solidigm. 'Together, we deliver performance and efficiency that legacy architectures can't match. We're focused on pushing the boundaries of storage technology to help customers optimize across modern compute workloads, including today's hyperconverged infrastructure demands." As part of the campaign launch, VergeIO and Solidigm will host a joint webinar on July 31, 2025, 1:00PM ET titled 'How to Replace Your AFA—While Improving Performance and Slashing Costs,' featuring a live demonstration and migration strategies. Click here to register: About VergeIO VergeIO is the leading VMware alternative, delivering a unified platform that converges virtualization, storage, networking, AI, and backup into a single software-defined solution. Learn more at About Solidigm Solidigm, a pioneer in enterprise data storage, leverages decades of product leadership and technical innovation to help customers propel into the data-centric future with a robust end-to-end product portfolio for core data centers to the edge. Explore
Yahoo
a day ago
- Business
- Yahoo
Distributed Enterprise Market to Hit Valuation of US$ 18.11 Billion By 2033
Distributed enterprise market is defined by rapid adoption of micro-datacenters and localized IT, enabling enterprises to reduce latency and enhance application performance for global users. This shift is driven by the need for hybrid work models and secure, scalable connectivity across multiple remote and branch sites. Chicago, July 21, 2025 (GLOBE NEWSWIRE) -- The global distributed enterprise market was valued at US$ 7.80 billion in 2024 and is expected to reach US$ 18.11 billion by 2033, growing at a CAGR of 9.81% during the forecast period 2025–2033. The business model that once revolved around a single headquarters now emanates from thousands of simultaneously active micro-nodes. By March 2024, industry trackers logged more than 3,200 independently managed micro-datacenters running containerized workloads for Fortune 1000 firms, a four-fold jump from the 2021 count. These facilities average only 250 square feet, yet each hosts upward of 160 CPU- and GPU-dense servers connected by 400-Gbps fiber rings to core clouds. Because compute can be placed within 25 miles of end users, application latency drops below 10 milliseconds, supporting digital twins, immersive commerce, and tele-operations. VMware reports that a mature distributed fabric now juggles close to 115,000 microservices per global enterprise, forcing architects to adopt GitOps pipelines, service meshes, and policy-as-code from day one. Request Sample Pages: Such complexity not only changes where workloads run but also how companies buy technology. Traditional rack-level procurement is giving way to consumption-based subscriptions negotiated per site in the distributed enterprise market. In 2024, Equinix Metal, Schneider Electric, and Vertiv disclosed aggregate shipments of 18,400 all-in-one edge cabinets that roll off trucks like appliances and self-configure in under three hours. Hardware is paired with software marketplaces that push real-time updates over LTE fallback links, eliminating the Monday-morning truck roll. These architectural shifts form the bedrock of the distributed enterprises market, anchoring every subsequent trend discussed below while underlining an industry pivot from centralized scale-up to hyper-localized scale-out. Key Findings in Distributed Enterprise Market Market Forecast (2033) US$ 18.11 billion CAGR 9.81% Largest Region (2024) Asia Pacific (33%) By Type Cloud-based Infrastructure (30%) By Deployment Mode Cloud (63%) By Vertical IT & Telecom (31%) Top Drivers Edge computing localization mandated by stringent data sovereignty regulations worldwide Real-time processing demands across 50 to 100 operational locations Multi-region cloud deployments reducing latency for globally distributed workforces Top Trends AI systems processing 2 million data points per minute Zero trust security architectures spanning 62 markets for financial institutions Low-code platforms democratizing distributed application development across enterprise branches Top Challenges Managing US$ 5 million to US$ 25 million compliance costs annually Coordinating 25,000 to 30,000 supplier relationships across distributed networks Cybercriminals adopting AI capabilities faster than distributed enterprise security teams Cloud-Edge Alignment Reinvents Operational Playbooks In Distributed Enterprise Market Landscape Cloud hyperscalers no longer limit themselves to remote availability zones, a reality fundamentally reshaping the distributed enterprise market. AWS Outposts, Microsoft Azure Arc, and Google Distributed Cloud recorded 1,620 commercial deployments inside factories, hospitals, and restaurants by Q2 2024. Each stack ships with pre-staged Kubernetes clusters and secure tunnels that extend the provider's identity, billing, and monitoring planes directly into customer premises. Consequently, workload mobility—from design in a core region to execution at an edge node—now averages only 14 minutes, compared with three hours two years earlier, allowing DevOps teams to iterate rapidly on AI inference pipelines and low-latency analytics. Capital allocation adapts in parallel. Instead of mammoth datacenter leases, enterprises now contract for node blocks under 36-month operating-expense agreements, reinforcing a pay-as-you-grow ethos that dominates the distributed enterprise market. A major North American logistics operator disclosed an annual edge services budget of US$ 240 million, spread across 430 distribution hubs linked by private 5G. GPU credits redeem identically on an Outposts rack in Ohio or in AWS US-East, simplifying cost governance. Because cloud and edge now share a single operational fabric, organizations strike a balance between elasticity and compliance, scaling seamlessly through seasonal peaks, regulatory shifts, or mergers without hardware delays. Security Convergence Accelerates SASE Uptake Across Distributed Enterprise Market Deployments Every shop floor, clinic, or kiosk that hosts compute widens the threat surface, a fact pushing Secure Access Service Edge to the center of the distributed enterprise market. Security researchers counted 12,800 live SASE estates worldwide by April 2024, averaging 420 branch nodes each. More than 68 vendor SKUs now bundle zero-trust network access, cloud firewalls, CASB, and SD-WAN onto a single policy canvas delivered from 250-plus shared points of presence. Swappable agents on laptops or point-of-sale terminals authenticate against identity stores exceeding ten million entries, yet still issue tokens in under 180 milliseconds. Operational payoffs keep momentum high. A global apparel retailer migrated 720 outlets to a single-vendor SASE stack and cut incident triage time from six hours to 23 minutes while holding connectivity spend flat through dynamic path steering over broadband and 5G. Service providers now wrap SASE with private-wireless edge zones, delivering turnkey offers that satisfy both cyber-security audits and uptime SLAs. By merging security and networking, the market gains a defensible backbone that lets product teams innovate at the edge without compromising risk posture or regulatory obligations. AI And Data Gravity Reshape Infrastructure In Distributed Enterprise Market Generative and predictive AI have burst beyond cloud-only confines, creating new gravitational centers inside the market. Omdia counted 35,000 edge AI accelerator cards—each capable of 200 TOPS—shipped into manufacturing during 2024. Automotive plants now stream video from 48-megapixel cameras to those cards, generating 14 petabytes per site every 30 days. To avoid costly back-haul charges, architects embrace data-gravity-aware schedulers that keep raw data local while sending compact model deltas to a central registry. NVIDIA's MGX reference design, adopted by nine server vendors, lets a two-socket node swap between training during off-shift hours and real-time inference when lines run. Results are tangible in the distributed enterprise market. Pharmaceutical manufacturer Eli Lilly operates 1,200 distributed inference endpoints that monitor bioreactor cultures and centralizes only four gigabytes of curated metadata per batch for longitudinal analysis. HP Enterprise's Alletra Storage MP snapshots that metadata to three regional hubs, holding recovery point objectives under one second even during WAN brownouts. This locality-plus-universality approach triggers a virtuous cycle: richer datasets require smarter orchestration, which pushes vendors toward deeper hardware-software integration, thereby cementing AI as a growth flywheel for the market. Partner Ecosystems Catalyze Service Innovation Within Distributed Enterprise Market Worldwide No single vendor can satisfy every niche, so alliances have become the lifeblood of the distributed enterprise market. Synergy Research logged 650 formal telco–hyperscaler pacts in 2024 that combine connectivity, managed edge, and vertical software. Verizon and Microsoft launched a co-branded computer-vision bundle marrying Azure Percept devices with 5G Ultra-Wideband backhaul and Power BI dashboards; a leading US port now processes 28,000 containers daily while flagging safety violations in real time. Telefónica, AWS Wavelength, and Siemens Digital Industries linked industrial edge software to private 5G across Iberian factories, feeding 1.2 million PLC tags into real-time analytics. Investment echoes collaboration. KDDI's Innovation Fund allocated US$ 5.4 billion to start-ups specializing in federated learning and homomorphic encryption, both crucial for sharing insights without exposing raw data. Independent software vendors also integrate directly with hyperscalers' SD-WAN overlays, allowing their applications to discover edge locations dynamically via DNS. These partnerships shorten integration cycles from months to days, letting product teams deploy region-tailored services—language-specific chatbots, for instance—without standing up new infrastructure. Each alliance thus multiplies technical breadth and revenue potential across the market. Operational Analytics Elevate Decision Precision Running thousands of remote sites demands granular insight, and operational analytics platforms are stepping up across the distributed enterprise market. Splunk Cloud and Datadog Edge now collect logs and metrics at device level, shipping only anomalies instead of raw streams. A multi-site retailer ingests 1.2 petabytes of telemetry daily yet forwards merely 90 gigabytes to its core cluster after local preprocessing. DataRobot's composable AutoML pipelines, installed in 420 Japanese convenience stores, retrain demand forecasts nightly from shelf-camera feeds, eliminating 19,400 out-of-stock incidents per quarter. Digital twins magnify these gains. Bentley Systems reports 2,400 live twins mirroring campuses with sensor sampling at 120 hertz. Technicians wearing AR headsets navigate the twin, verify regulatory compliance, and trigger work orders on the fly. When a pipeline valve deviates from normal vibration patterns, the twin flags the anomaly, raises a ticket, and dispatches a technician within 15 minutes, trimming mean-time-to-repair by 4.3 hours. Such situational awareness anchors predictive operations as the new normal inside the market, shifting decision-making authority from distant NOCs to edge sites themselves. Regulatory Complexity Reframes Strategy In Distributed Enterprise Market Compliance Landscape Data sovereignty once confined to Europe now spans the globe, reshaping investment priorities inside the market. Analysts tracked 4,000 active legislative proposals worldwide referencing digital or cloud sovereignty by February 2024, with 18 US states already requiring in-state residency for specific healthcare or financial records. Oracle Alloy lets service providers stand up sovereign cloud regions within national borders; France's OVHcloud used the platform to onboard 920 government workloads previously barred from hyperscalers. Security mandates evolve in tandem. The Cybersecurity Maturity Model Certification 2.0 demands continuous monitoring from every node, driving adoption of tamper-resistant hardware such as AMD Secure Processor chips. China's Personal Information Protection Law compels ride-hailing firms to store driver biometrics on-shore; Didi deployed 600 edge vault clusters nationwide, each protected by multi-party computation keys stored 300 kilometers apart. Mastering this tapestry of rules not only averts penalties but also accelerates product launches in regulated industries, turning compliance expertise into a competitive lever across the market. Need Strategic Clarity? Talk to Our Analyst Today: Autonomous Edge Advances Define Future Of Distributed Enterprise Market Prosperity Autonomy has emerged as the next frontier for competitiveness, and that momentum courses through the distributed enterprise market. Research presented at the 2024 IEEE Autonomic Computing conference cited 9,500 self-optimizing sites where AIOps engines now adjust compute placement, power draw, and network paths without human intervention. These engines ingest telemetry from 48 orchestration platforms—Kubernetes, HashiCorp Nomad, and beyond—and employ reinforcement-learning models that balance carbon intensity against service latency. A Scandinavian telco trimmed diesel-generator use by 780 engine-hours last winter while sustaining five-nines availability. Hardware evolves in concert. Qualcomm's X100 edge SoC unites Arm Neoverse cores, on-chip AI accelerators, and integrated 5G radios within a 15-watt envelope, enabling smart-city lampposts to host both video analytics and micro-cell functions. Field trials in Barcelona saw a single pole process 4.8 terabytes of footage over 24 hours while transmitting only 12 gigabytes of incident clips to the city's SOC. As silicon, software, and networking converge, every node gains situational awareness and self-healing capabilities, promising a phase where orchestration complexity recedes and embedded intelligence dominates the distributed enterprise market. Global Distributed Enterprises Market Major Players: Aruba Networks Aryaka Networks, Inc. Cisco Systems, Inc. Citrix Systems, Inc. CloudGenix, Inc. Dell Technologies Inc. Extreme Networks, Inc. Fortinet, Inc. Hewlett Packard Enterprise Company Juniper Networks, Inc Microsoft Corporation Palo Alto Networks, Inc. Riverbed Technology, Inc. Silver Peak Systems, Inc. VMware, Inc. Other Prominent Players Key Segmentation: By Types Branch Offices Retail Chains Franchise Businesses Manufacturing Facilities Remote Workforce Global Enterprises Cloud-based Infrastructure Service Providers By Deployment Mode Cloud On-Premises By Vertical BFSI IT & Telecom Retail & E-Commerce Healthcare Media & Entertainment Others By Region North America Europe Asia Pacific Middle East Africa South America Request Stand-Alone Chapters or Country Breakouts: About Astute Analytica Astute Analytica is a global market research and advisory firm providing data-driven insights across industries such as technology, healthcare, chemicals, semiconductors, FMCG, and more. We publish multiple reports daily, equipping businesses with the intelligence they need to navigate market trends, emerging opportunities, competitive landscapes, and technological advancements. With a team of experienced business analysts, economists, and industry experts, we deliver accurate, in-depth, and actionable research tailored to meet the strategic needs of our clients. At Astute Analytica, our clients come first, and we are committed to delivering cost-effective, high-value research solutions that drive success in an evolving marketplace. Contact Us:Astute AnalyticaPhone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World)For Sales Enquiries: sales@ Follow us on: LinkedIn | Twitter | YouTube CONTACT: Contact Us: Astute Analytica Phone: +1-888 429 6757 (US Toll Free); +91-0120- 4483891 (Rest of the World) For Sales Enquiries: sales@ Website: in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Globe and Mail
4 days ago
- Business
- Globe and Mail
Telecom Cloud Market Scope In 2030: Size, Share, Trends, Growth Outlook and Opportunities Analysis Forecast
Telecom Cloud Market by Component (Platforms, Solutions, Services), NFV Software (VNFs/CNFs, NFVI), Cloud Service Model (SaaS, PaaS, IaaS), Deployment Model (Public, Private, Hybrid), and Region - Global Forecast to 2030 The telecom cloud market is expected to expand at a compound annual growth rate (CAGR) of 20.3% from USD 22,261.8 million in 2025 to USD 56,005.8 million by 2030. Demand for telecom cloud solutions is expected to rise as a result of growing 5G adoption, greater demand for network virtualization, growing use of edge computing, and the requirement for scalable, affordable infrastructure. The transition to cloud-native designs and strategic alliances with hyperscalers are two more factors propelling change in international telecom networks. Download PDF Brochure@ The telecom cloud market is transforming global communications infrastructure by enabling telecom operators to virtualize, scale, and optimize network operations through cloud-native technologies. These solutions support critical functions such as core network deployment, radio access management, and edge service delivery, replacing legacy hardware with flexible, software-defined architectures. Powered by VMware Cloud Foundation, AWS Wavelength, and Microsoft Azure for Operators, the telecom cloud leverages network function virtualization (NFV), software-defined networking (SDN), edge computing, and AI-driven automation. These components enable real-time orchestration, dynamic resource allocation, and improved service agility across multi-vendor, hybrid environments. Market growth is driven by the widespread deployment of 5G, increasing demand for low-latency applications, and the rising need for cost-efficient, scalable network infrastructure. The telecommunications, manufacturing, and autonomous mobility industries are adopting telecom cloud solutions to support real-time data processing, ultra-reliable connectivity, and next-generation use cases. As telecom operators accelerate digital transformation, the telecom cloud is emerging as foundational infrastructure for multi-access edge computing, Open RAN, and cloud-native 5G cores. These platforms enhance operational flexibility, ensure compliance with data sovereignty requirements, and enable AI-powered network optimization, positioning the telecom cloud market as a central pillar in the future of digital communications. Platforms component segment is estimated to account for the largest market share during the forecast period The platform segment of the telecom cloud market, encompassing cloud infrastructure and virtualization platforms such as VMware Cloud Foundation, AWS Outposts, and Microsoft Azure for Operators, is expected to capture the largest market share during the forecast period. This growth is driven by the segment's pivotal role in enabling next-generation network transformation, particularly through support for 5G, edge computing, and network function virtualization (NFV). Telecom operators are increasingly deploying cloud-native platforms to achieve scalability, reduce latency, and optimize operational costs. These platforms provide the essential foundation for deploying virtualized core and RAN workloads, offering interoperability and flexibility in multi-vendor, hybrid environments. Strategic alliances such as Broadcom-VMware's partnership with Deutsche Telekom and AWS's collaboration with Nokia are further accelerating adoption by delivering secure, telecom-optimized infrastructure solutions. Furthermore, increasing regulatory emphasis on data sovereignty, along with the industry's move toward Open RAN architectures, is boosting demand for strong, flexible platform solutions. As operators prioritize agility and long-term cost efficiency, the platform component is set to remain at the forefront of the telecom cloud ecosystem throughout the forecast period. Public cloud model of deployment is expected to account for the largest market share during the forecast period The public cloud deployment model is estimated to dominate the telecom cloud market share during the forecast period due to its unparalleled scalability, cost-effectiveness, and support for innovative telecom services. Public cloud platforms such as AWS, Microsoft Azure, and Google Cloud enable telecom operators to deploy virtualized network functions (VNFs) and cloud-native 5G and IoT applications efficiently, minimizing infrastructure costs. A key development driving this trend is the launch of Nokia's Cloud RAN-as-a-Service on AWS, which streamlines 5G network deployments by leveraging public cloud elasticity. These platforms offer global accessibility, advanced AI/ML tools, and robust security, meeting stringent regulatory requirements. The adoption of Open RAN 2.0, announced by the O-RAN Alliance, further accelerates public cloud use by promoting interoperable, software-defined networks, enabling operators to deliver agile, high-performance services and maintain a competitive edge. North America is projected to hold the largest market share during the forecast period. North America is projected to hold the largest share of the telecom cloud market during the forecast period, driven by its advanced technological infrastructure, widespread 5G deployment, and a supportive regulatory framework. The region's high demand for low-latency applications, including augmented reality, autonomous systems, and industrial IoT, is accelerating the adoption of robust cloud-native telecom networks. Key drivers include a strong push toward network virtualization, fueled by the adoption of scalable public and hybrid cloud solutions by major telecom operators. In line with this, the U.S. Department of Commerce launched the NextGen Telecom Initiative, offering incentives for cloud-based 5G infrastructure to improve nationwide connectivity. Similarly, Canada's CRTC introduced policies in 2025 to expedite edge cloud deployments, particularly to support smart city projects and IoT-driven ecosystems. Strategic partnerships, such as Verizon's collaboration with Google Cloud to deploy Anthos for telecom workloads, further enhance the region's capability to optimize operations and innovate rapidly. With strong leadership in AI-driven network automation and a robust vendor ecosystem, North America is well-positioned to sustain its dominance in the global telecom cloud market throughout the forecast period. Request Sample Pages@ Unique Features in the Telecom Cloud Market One of the defining features of the telecom cloud market is the integration of NFV and SDN technologies. These technologies decouple network functions from hardware, enabling telecom operators to virtualize critical functions like routing, firewalls, and load balancing. This leads to enhanced scalability, reduced CAPEX/OPEX, and more agile service deployment. Telecom cloud platforms increasingly offer edge computing features, which bring data processing closer to users and devices. This is particularly important for latency-sensitive applications like IoT, AR/VR, and autonomous vehicles. Edge cloud in telecom enhances user experience, supports 5G use cases, and helps in localized data compliance. Telecom cloud solutions are built to support and scale with 5G infrastructure. Features like network slicing, ultra-reliable low latency communication (URLLC), and massive machine-type communication (mMTC) are fully supported. This enables telecom providers to launch 5G services efficiently with customized performance levels for different use cases. Unlike traditional public cloud services, telecom cloud platforms are designed to meet the ultra-high reliability and uptime requirements of telecom-grade services. This includes features such as geo-redundancy, failover automation, and strict SLAs for uptime and latency—essential for mission-critical communications. The telecom cloud market uniquely supports multi-cloud and hybrid environments that allow telecom operators to run workloads across private and public clouds. Unified orchestration platforms enable dynamic workload placement, optimized resource utilization, and better cost control while maintaining service continuity. Major Highlights of the Telecom Cloud Market The global telecom cloud market is witnessing accelerated growth fueled by the widespread deployment of 5G networks. Telecom operators are leveraging cloud-native infrastructure to manage complex network functions, reduce latency, and support emerging 5G applications like smart cities, autonomous vehicles, and industrial automation. A significant market shift is occurring from traditional hardware-based systems to virtualized, software-defined, and cloud-native network architectures. This transformation is enabling operators to deploy services more flexibly, reduce hardware dependency, and improve time-to-market for new offerings. Major telecom operators are partnering with hyperscale cloud providers like AWS, Microsoft Azure, and Google Cloud to expand their cloud capabilities. These alliances are enhancing telecom cloud ecosystems with advanced tools, global infrastructure, and joint go-to-market strategies. Edge computing has become a central focus in the telecom cloud space, with operators deploying edge nodes closer to end-users. This supports ultra-low latency requirements, improves network efficiency, and is critical for enabling IoT, AR/VR, and real-time analytics applications. Inquire Before Buying@ Top Companies in the Telecom Cloud Market The major vendors covered in the telecom cloud market are AWS (US), Microsoft (US), Google (US), IBM (US), Broadcom (US), Oracle (US), Intellias (Ukraine), Nokia (Finland), Ericsson (Sweden), and Huawei (China). These players have incorporated various organic and inorganic growth strategies, including collaborations, acquisitions, product launches, partnerships, agreements, and expansions to strengthen their international footprint and capture a greater market share. These organic and inorganic strategies have allowed the market players to expand across geographies by offering telecom cloud solutions. AWS Amazon Web Services (AWS) holds a leading position in the telecom cloud market, enabling communication service providers (CSPs) to advance network modernization and digital transformation initiatives. AWS delivers specialized solutions, such as AWS outposts, tailored for core and radio access network (RAN) workloads, facilitating scalable and secure 5G implementations. Its cloud-native portfolio, encompassing artificial intelligence, machine learning, Internet of Things, and Amazon Connect, drives operational efficiencies, enhances customer engagement, and unlocks new revenue opportunities. Strategic collaborations with industry leaders, including Nokia, Ericsson, Comcast, and du, underscore AWS's proficiency in network function virtualization and operational automation. Supported by a robust partner ecosystem and global infrastructure, AWS ensures compliance with data sovereignty requirements while delivering agility, cost optimization, and innovation, positioning it as a catalyst for transforming CSPs into technology-driven enterprises. Broadcom Broadcom Inc. is a prominent player in the telecom cloud market, leveraging its semiconductor and infrastructure software expertise to support network virtualization and cloud transformation. Through its 2023 acquisition of VMware for USD 61 billion, Broadcom enhances telecom cloud solutions with VMware Cloud Foundation (VCF), enabling private and hybrid cloud deployments. Strategic partnerships with Bouygues Telecom and Deutsche Telekom's T-Systems bolster scalable, secure 5G and cloud-native services. Broadcom's offerings, including automation and VMware NSX for security, optimize resource utilization and accelerate innovation. Its global presence and focus on data sovereignty establish Broadcom as a leader in helping telecoms deliver agile, secure, and efficient cloud-based services. Microsoft Microsoft, headquartered in the United States, is a major player in the Telecom Cloud market, offering a comprehensive suite of cloud-based solutions through its Azure platform to help telecom operators modernize their networks, enhance service delivery, and accelerate digital transformation. With offerings such as Azure for Operators, Microsoft provides edge computing, 5G core infrastructure, AI-driven analytics, and automation tools tailored for telecommunications needs. Strategic acquisitions like Affirmed Networks and Metaswitch Networks have further strengthened Microsoft's telecom portfolio, enabling carriers to build scalable, secure, and agile cloud-native networks. Google Google, headquartered in the United States under Alphabet Inc., is an emerging force in the Telecom Cloud market, leveraging its Google Cloud Platform (GCP) to help telecom operators modernize their infrastructure, deploy 5G networks, and deliver innovative digital services. Through solutions like Anthos for Telecom and AI-powered analytics, Google enables carriers to build cloud-native networks, enhance customer experiences, and optimize operations. Strategic partnerships with telecom giants and investments in edge computing and network automation underscore Google's commitment to driving transformation across the telecom industry. IBM IBM, headquartered in the United States, is a significant player in the Telecom Cloud market, offering hybrid cloud, AI, and automation solutions tailored to help telecom operators modernize their networks and accelerate 5G adoption. Leveraging its Red Hat OpenShift platform, IBM enables the development and deployment of cloud-native network functions (CNFs) and supports edge computing for real-time data processing. With a strong focus on open, interoperable architectures and strategic collaborations with major telecom providers, IBM helps carriers enhance agility, reduce operational costs, and deliver innovative services in a rapidly evolving digital landscape.
CNBC
4 days ago
- Business
- CNBC
Harvard Business School lecturer: These 2 big mistakes can tank your business idea—a lot of people make them
Two mistakes can doom any new business — and many people make them, says Julia Austin. The first mistake: not doing enough research to make sure there's a viable market for whatever you want to sell, says Austin, a senior lecturer on startup operations at Harvard Business School. Having a great idea isn't enough to start making money, she says — particularly if you want to go beyond the world of side hustles and build a startup that lasts. Relatedly, the second mistake entrepreneurs tend to make is failing to lay the groundwork early for an effective corporate infrastructure. You might find it boring, but turning a great idea into an actual business means "building a whole company," says Austin, a former executive at successful companies like VMware and Akamai Technologies who also now works as an executive coach. Austin works with "a lot of founders who say: 'I never imagined I'd be spending this much time on people stuff,'" she says. "And [that's] not just hiring, but managing people and building teams and all the things that come into play with running a business. So, they get kind of caught up in the idea [at the heart of the business] and lose sight of that." Both mistakes are typically the result of over-exuberance from first-time entrepreneurs who are very excited about their idea, says Austin, the author of "After the Idea: What It Really Takes to Create and Scale a Startup," which published on June 10. Here's her advice for avoiding them: Business ideas often start with a simple question: How do I solve this problem I'm experiencing in my own life? A lot of would-be entrepreneurs incorrectly assume that their problem is shared by enough other people to turn their solution into a viable business, Austin says. You might fall so "in love with the solution" that you "lose sight of where the problem is," she notes. "I'm a big believer in: 'Great. You've got the inspiration, but really make sure you understand the problem,'" says Austin. "You might have your version of the problem, but how do you expand that into something that a broader audience would be interested in? And who are they?" Seek feedback from a diverse set of voices outside your immediate circles, Austin recommends. And don't base your decisions off preliminary research or shallow evidence, like a social media post that gets decent traction, Austin adds. Instead, you might try "[conducting] ethnographic research, simulating a solution [or] actually building a [product] and spending time with the prospective user," she says. Austin's suggestions echo similar comments from serial entrepreneur and Stanford University adjunct professor Steve Blank. Launching an exciting business idea without researching the market beforehand can be a "fatal mistake" that he's seen "a million times," he told CNBC Make It on March 24. "The most important [question] is: 'Well, who are my customers?' And the second one is: 'What do they want?'" said Blank. "It's not: 'Here's what I'm building. Can I sell it to someone?'" Down the road, if your business grows enough, you might need to start hiring employees. When the time comes, don't just start hiring — do some prep work first, says Austin. Start by taking the time to draft an overarching "organizational strategy," where you define what type of company culture you want to create and the employees you'll need to cultivate it as the company grows, she says. In her book, Austin recommends imagining your business six to 12 months in the future, including revenue goals and the types of products you want to be selling. Think about how many customers you'll need to make those goals realistic, and how many employees across various roles you'll need to meet those customers' needs. From there, you can sketch out an organizational chart to determine how many people you should hire and for which roles. Young businesses that hire too many, or too few, employees can face either a budget crunch or worker burnout, and hiring for the wrong roles can create gaps in the company infrastructure that make it harder to grow down the road, Austin says. "The recalibration to fix these disparities later is time consuming and can impact your company culture, so do you best to stay ahead of this," Austin wrote in her book. Prep work can be boring, especially when you're bringing in more and more revenue each month, and you're worried that someone else might see and copy your idea at greater scale, wrote Austin. But before you get to the stage where you can move quickly, you need to build a solid infrastructure for your business — otherwise, you'll likely "fail fast," Austin says. Her mantra: "Move slow to go fast." "Remember, Google was not the first internet search tool, and Facebook was not the first social media app," says Austin. "It's all about execution (and a little bit of luck and timing)!"
Time Business News
14-07-2025
- Time Business News
Goutham Sunkara's Insights on Automating Network Testing for Scalable SD-WAN Deployments
In today's fast-changing world of network technology, Software-Defined Wide Area Networking (SD-WAN) has become a key tool for companies looking for flexible, secure, and efficient connections. Goutham Sunkara, an experienced Staff R&D Software Engineer with over 10 years of expertise in network security and automation, has played a big role in making SD-WAN systems reliable and high-performing. His work at Cisco Systems and VMware by Broadcom Inc. shows how important automation is for testing SD-WAN features, providing useful lessons for network engineers and companies wanting to improve their networks. At Cisco Systems, where Goutham Sunkara worked as a Software Engineer III from July 2018 to August 2021, he had a key role in testing SD-WAN features on Cisco's ISR 4K, 1K, and Catalyst 8K routers. He focused on making sure the network routing was secure and worked well, which is a big part of what makes SD-WAN valuable. Sunkara's testing was thorough, covering how the features worked, how they handled large-scale use, their performance, and checks to ensure nothing broke over time. He created detailed plans and used both manual and automated tests to make sure Cisco's SD-WAN systems were strong and secure. His work included checking SD-WAN security features and how they worked with ISR routers, fixing weaknesses in systems like IPsec, MPLS, and DMVPN. This careful testing was essential to keep data safe and ensure networks stayed reliable, especially for big businesses that need dependable systems. A big part of Goutham Sunkara's work at Cisco was creating automation scripts using Python and the PyATS tool on Linux systems. These scripts made it easier and faster to test important network features like encryption, VPN security, and firewall rules. By automating these security tests, Sunkara saved time in finding and fixing problems, making sure Cisco's ISR routers were secure and worked well. His automation also tested a wide range of network protocols, like NAT, HTTP, IPv4/IPv6, and routing protocols such as OSPF and BGP. This complete approach not only sped up testing but also gave helpful information to the development and marketing teams, encouraging teamwork to improve product security from start to finish. Goutham Sunkara brought his automation skills to his job at VMware by Broadcom Inc., where he has worked as a Staff R&D Software Engineer since August 2021. He focused on the NSX-T platform, a software-based networking tool that works well with SD-WAN to create secure and flexible networks. Sunkara led the testing strategy and automation for NSX-T's Security Service Platform (SSP), a security product powered by AI and machine learning. He created automation scripts using Python and REST APIs to test new NSX-T features, like Distributed Firewall (DFW) on Distributed Virtual Port Groups (DVPGs), Fully Qualified Domain Name (FQDN) filtering, and NSX Edge Cluster setups. These scripts made it faster to check complex features, ensuring they worked reliably in different network situations. One of Goutham Sunkara's key accomplishments at VMware was building test framework libraries to support new NSX-T features, like Network Detection and Response (NDR) sensors, application discovery, and monitoring tools. He automated tests for East-West traffic between Linux and Windows virtual machines using tools like Spirent, CyPerf, and Cyberflood, ensuring thorough testing of Intrusion Detection and Prevention Systems (IDPS) and Malware Prevention Systems (MPS). This automation was essential for checking the security and performance of distributed firewalls in software-defined data centers (SDDCs). Sunkara's careful approach to creating and running test plans, including setting up ESXi hosts, configuring DHCP/DNS/vCenter, and deploying Spirent VMs, made sure the SDDC test environments were strong and mirrored real-world setups. Goutham Sunkara's education strengthened his skills in network automation. While earning his Master's in Electrical Engineering at San Jose State University, he researched adaptive bit rate streaming and ways to stop Denial-of-Service (DoS) attacks, using tools like GNS3, Wireshark, and NS-3. These projects helped him learn how to design and test complex networks, skills he later used for SD-WAN and software-defined data center (SDDC) testing. His certifications, such as Cisco Certified Network Associate (CCNA) and VMware's VCP-DCV and VCP-NV, show his strong knowledge in routing, switching, and network virtualization. Goutham Sunkara's work gives network engineers helpful tips for automating SD-WAN testing. He stresses the need to include security testing in automation, making sure protocols like IPsec and firewall rules are thoroughly checked. His use of Python-based automation tools shows how scripts can save time and make tests more accurate. Sunkara's experience also shows the importance of teamwork, as he worked with development and feature teams to ensure testing matches product goals. As companies increasingly use SD-WAN to support remote workers and cloud apps, Goutham Sunkara's work shows how automation helps create flexible, secure, and reliable networks. His expertise in building and running automated test strategies at Cisco and VMware offers a clear guide for businesses looking to improve their SD-WAN setups, ensuring strong performance and security in today's complex digital world. TIME BUSINESS NEWS
