Latest news with #Kubernetes
Time Business News
3 days ago
- Business
- Time Business News
Simplifying Complex Cloud Operations: The Business Case for Managed Kubernetes in Private Cloud Environments
Every IT leader knows how it starts. A few containerized workloads run successfully. Teams grow comfortable with microservices. Soon, new applications, more clusters, and expanded environments appear. Before long, what began as a promising modernization project turns into an intricate web of dependencies, configurations, and management burdens that stretch your teams thin. Kubernetes has become the de facto standard for orchestrating containerized applications, but managing Kubernetes at scale is anything but simple. This growing operational complexity is exactly why enterprises are increasingly turning to Managed Kubernetes as a Service for Private Cloud to regain control, simplify operations, and unlock real business value. Kubernetes offers extraordinary power, but introduces challenges that directly affect business performance: Manual cluster management drains valuable engineering resources. Upgrades, patching, and version compatibility become time-consuming. Security configurations across multiple clusters grow harder to maintain. Downtime risks increase as complexity expands. These operational pressures shift focus away from core innovation and product delivery. The result is slower time-to-market, rising operational costs, and frustrated teams. This is where Managed Kubernetes as a Service with Gardener offers a different path. Providers like Cloudification deliver fully managed, GitOps-driven Kubernetes environments that help businesses regain operational clarity and confidently scale without sacrificing control. Enterprises often believe that to simplify Kubernetes operations, they must give up control to public cloud providers. This is a false choice. With Managed Kubernetes as a Service for Private Cloud, businesses retain full data ownership and governance while outsourcing the day-to-day operational burdens of Kubernetes management. By partnering with experts like Cloudification, you benefit from: Fully automated cluster provisioning, upgrades, and maintenance Consistent security policies applied uniformly across environments Immediate response to incidents without draining internal teams Freedom from vendor lock-in with open-source technology foundations Your engineers stay focused on building and delivering value, not maintaining complex infrastructure behind the scenes. Every hour spent troubleshooting Kubernetes clusters is an hour not spent delivering customer value. Internal Kubernetes management often leads to hidden operational costs that quietly accumulate: Increased staffing requirements for specialized skills Delays caused by troubleshooting complex deployment issues Long-term expenses tied to poorly optimized resource usage Managed services convert unpredictable operational overhead into transparent service costs. This allows for: Lower total operational expenses over time More predictable financial planning Better resource utilization and cluster optimization Cloudification's GitOps-driven automation ensures that your clusters remain consistent, efficient, and fully aligned with best practices, minimizing waste and maximizing performance. Security remains one of the most challenging aspects of Kubernetes management, especially in regulated industries. Each new cluster introduces potential configuration drift and access control inconsistencies. By choosing managed Kubernetes services, you gain: Consistent role-based access controls across all environments Automated patching and vulnerability management Centralized audit logging for compliance reporting Full visibility into cluster health and security posture Instead of constant firefighting, your security and compliance teams operate from a position of confidence, knowing that policies are enforced uniformly at every level. In competitive markets, the speed at which you can bring new features and services to market directly impacts your business growth. Complex Kubernetes operations often become bottlenecks to this agility. Managed Kubernetes simplifies deployment pipelines, reduces downtime during upgrades, and eliminates many of the manual steps that slow release cycles. This allows your development teams to: Deploy new features more frequently and safely Experiment with new services without infrastructure concerns Recover faster from failures or performance issues Not every organization needs a massive Kubernetes footprint on day one. Managed Kubernetes supports gradual adoption. Begin with a few key applications or business-critical workloads. Gain confidence as you see operational stability improve. As needs grow, easily scale clusters horizontally without adding complexity to your internal operations. Cloudification's consulting and workshop services help teams build internal Kubernetes skills while maintaining operational stability throughout growth phases. Even with careful planning, Kubernetes containerization projects can encounter unexpected challenges. In-house teams may struggle with: Complex multi-cluster networking Storage integration for stateful workloads Performance tuning under heavy load When these issues arise, having experienced Kubernetes experts readily available makes a significant difference. Cloudification's managed service model provides immediate access to certified professionals who help resolve problems quickly while empowering your team to learn and grow. Keeping Kubernetes environments healthy long-term requires consistent operational discipline. Fortunately, managed services simplify much of this by design. To keep your private cloud Kubernetes environment optimized: Review cluster resource utilization periodically Conduct security audits on role-based access configurations Validate disaster recovery processes regularly Encourage cross-functional feedback between development and operations These lightweight habits ensure that your managed Kubernetes deployment continues delivering value sustainably over time. At its core, adopting Managed Kubernetes as a Service with Gardener is not just a technology decision. It is a business strategy to reduce operational burdens, control costs, strengthen security, and empower faster innovation. By simplifying the most complex aspects of Kubernetes management, enterprises regain focus on what matters most: delivering exceptional products and services to their customers. With open-source foundations, GitOps automation, and expert guidance, Cloudification provides businesses with a Kubernetes platform that balances power and simplicity. You maintain full control over your data and systems while eliminating the daily operational headaches that slow progress. If you are ready to simplify your cloud operations and turn Kubernetes into a true business enabler, Cloudification is here to help you design and operate a private cloud environment that finally works for your business, not against it. TIME BUSINESS NEWS
TECHx
3 days ago
- Business
- TECHx
GBM Joins Red Hat Partner Practice Accelerator
Home » Emerging technologies » Cloud Computing » GBM Joins Red Hat Partner Practice Accelerator Gulf Business Machines (GBM), an end-to-end digital solutions provider, has announced its participation in the Red Hat Partner Practice Accelerator. GBM is the first company in the MEA and GCC region to join this global initiative, which focuses on application development. Red Hat's Partner Practice Accelerator recognizes partners that demonstrate advanced technical expertise, service delivery excellence, and hold Red Hat certifications. GBM qualified by meeting rigorous training and validation standards. With this recognition, GBM is now positioned as a trusted expert in application modernization using Red Hat OpenShift. This hybrid cloud application platform, powered by Kubernetes, enables GBM to design, implement, and configure enterprise-grade solutions tailored to customers' needs. Additionally, GBM gains access to enhanced Red Hat resources and co-delivery opportunities. These include full lifecycle implementation services from design to deployment and scalable, future-ready cloud solutions aligned with business goals. GBM is the first in MEA/GCC to join the Red Hat initiative. The partnership strengthens GBM's hybrid cloud and Kubernetes expertise. Customers benefit from GBM's certified services and global delivery model. This milestone reinforces GBM's commitment to innovation, operational excellence, and customer success through Red Hat technologies. Red Hat Partner Practice Accelerator is part of Red Hat's global engagement model designed to drive co-creation and hybrid cloud advancement.
Zawya
4 days ago
- Business
- Zawya
GBM becomes region's first company to join Red Hat partner practice accelerator
GBM will now have access to enhanced Red Hat resources and co-delivery opportunities Dubai, United Arab Emirates: Gulf Business Machines (GBM), a leading end-to-end digital solutions provider, has become the first company in the MEA/GCC region to join Red Hat Partner Practice Accelerator specializing in application development. This global initiative by Red Hat recognizes a select group of partners who have demonstrated advanced technical expertise and proven service delivery practices by achieving Red Hat professional training credentials, certifications, and partner services validation. With its participation, GBM is a trusted expert in application modernization using Red Hat OpenShift, the industry's leading hybrid cloud application platform powered by Kubernetes, capable of architecting, implementing, and configuring tailored enterprise-grade solutions that drive impactful business outcomes. GBM will now have access to enhanced Red Hat resources and co-delivery opportunities to support customers with end-to-end implementation services, from design to deployment, as well as scalable, future-ready solutions that align with their business goals. This distinction reaffirms GBM's commitment to innovation, operational excellence, and long-term success for its customers adopting Red Hat technologies. Combining its deep local roots with global standards, GBM is positioned to help shape the future of application development across the region. Red Hat Partner Practice Accelerator is part of Red Hat's evolving partner engagement model that implements a globally unified approach to collaboration. The initiative provides partners with simplified paths to co-create, innovate, and deliver solutions and services to support customers on their hybrid cloud journeys. About Gulf Business Machines (GBM) With more than 35 years of experience, 7 offices and over 1500 employees across the region, Gulf Business Machines (GBM) is a leading end-to-end digital solutions provider, offering the region's broadest portfolio, including industry-leading digital infrastructure, digital business solutions, security and services. We have nurtured partnerships since 1990 with the world's leading technology companies and invested in a talented, skilled workforce to implement solutions that cater to customer's specific, complex and diverse business needs. Some of our strategic partners in the Gulf include IBM as their sole distributor throughout the GCC (excluding Saudi Arabia and selected IBM product and services), Cisco as a Gold Partner (the highest level of certification at Cisco), and VMware as a Premier Partner (the highest partner status within VMware).
Yahoo
4 days ago
- Business
- Yahoo
Will CRWV's Platform Upgrades Help it Take the Lead in the AI Race?
CoreWeave, Inc. CRWV is rolling out cutting-edge offerings, optimized for AI model training and inference workloads, providing Infrastructure-as-a-Service along with specialized cloud software and services that offer a distinct competitive edge. Management expects AI to drive $20 trillion in global economic impact by 2030, with the total addressable market (TAM) growing to $400 billion by 2028. To capitalize on this growth and reach a broader customer base, CoreWeave has developed technological upgrades to scale its the company launched three new AI cloud software products to help customers build, test and run AI faster. This is the first software rollout since CoreWeave acquired Weights & Biases in May 2025. These product refreshes are Mission Control Integration that helps AI teams spot and fix training issues fast by linking system problems to training runs, W&B Inference that lets developers easily test top open-source AI models using CoreWeave's cloud and Weave Online Evaluations giving real-time feedback on how AI agents perform in production, helping improve quality over rapid adoption of the latest technology provides it with a strong edge. It was the first to deliver NVIDIA's H100 and H200 GPUs at scale, and the first to offer GB200 NVL72 instances, ramping up Blackwell revenues in the first quarter. It has also introduced next-gen AI Object Storage, designed for intensive AI training and inference. When combined with its Kubernetes services, it offers top AI customers a ready-to-use, production-level setup from day remains focused on four key areas — scaling capacity, financing infrastructure, enhancing platform differentiation and expanding go-to-market capabilities. With the surging demand for advanced AI infrastructure, CoreWeave has expanded its global footprint, allowing the company to penetrate new markets, deepen collaborations with existing customers and reach a broader base of new clients. Microsoft MSFT is a dominant force in AI infrastructure through its Azure platform, supported by a vast global network of data centers. Its role in cloud computing continues to strengthen. Microsoft's multi-billion-dollar investment in OpenAI has given it a significant advantage in the AI sector. The adoption of Azure OpenAI and Copilot tools across Microsoft 365, Dynamics 365 and Power Platform is increasing. MSFT and NVIDIA have announced new AI advancements, including NVIDIA NIM microservices in Azure AI Foundry, enhanced inference for open-source models, and serverless GPU support in Azure Container Apps. With Azure AI, Microsoft is establishing a strong foundation for the AI era, offering a wide range of models to meet diverse customer Group N.V. NBIS, based in Amsterdam, is focusing on becoming a specialized AI infrastructure company. It develops full-stack infrastructure for AI, like large-scale GPU clusters, cloud platforms and tools and services for developers. Like CRWV, NBIS benefits from its partnership with NVIDIA, which is also an investor in the company. It recently launched the NVIDIA GB200 Grace Blackwell Superchip capacity in Europe, boosting its global AI infrastructure and supporting AI innovation across the region. It is growing its global presence to meet the rising demand for AI infrastructure. It now has capacity in the United States, Europe and the Middle East, and added three new regions last quarter, including a key data center in Israel. Shares of CoreWeave have gained 334.2% year to date compared with the Internet Software industry's growth of 13.1%. Image Source: Zacks Investment Research From a valuation standpoint, CRWV trades at a forward price-to-sales of 10.31X, higher than the industry's 5.68. Image Source: Zacks Investment Research The Zacks Consensus Estimate for CRWV's earnings for 2025 has been unchanged over the past 30 days. Image Source: Zacks Investment Research CRWV currently carries a Zacks Rank #4 (Sell). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Microsoft Corporation (MSFT) : Free Stock Analysis Report Nebius Group N.V. (NBIS) : Free Stock Analysis Report CoreWeave Inc. (CRWV) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Business Wire
5 days ago
- Business
- Business Wire
Komodor Redefines Kubernetes Cost Optimization with Holistic Automation Based on Performance, Risk and Right-Sizing
TEL AVIV, Israel & SAN FRANCISCO--(BUSINESS WIRE)-- Komodor, the platform for automating Kubernetes operations, health, performance, and cost management, today announced it has added advanced new cost optimization capabilities to its Kubernetes management platform. These new features enable organizations to intelligently reduce cloud spend while maintaining performance and reliability across their entire Kubernetes estate. Cloud didn't make hardware free—it made it a metered cost. Komodor understands that Kubernetes management isn't just about scale anymore, it's about cost-aware control. Most teams are overspending on compute—yet manually right-sizing workloads is nearly impossible due to a lack of expertise, the large volume of factors to consider, and the potential risks of making changes. Meanwhile, traditional cost optimization tools overlook business impacts on application performance, developer velocity, and platform reliability. Komodor takes a platform-centric approach, enabling engineering teams to analyze and visualize Kubernetes resources, application runtime data, logs, changes, along with 3rd party integrations to automate smarter risk-aware decisions for cost optimization. 'Cloud didn't make hardware free—it made it a metered cost. Komodor understands that Kubernetes management isn't just about scale anymore, it's about cost-aware control,' Dan Twing, President & COO, Enterprise Management Associates. 'Their intelligent automation helps teams optimize spend without compromising performance, which is exactly what's needed in today's complex, cloud-native environments.' Containing Cost not Performance As Kubernetes workloads grow in size and complexity, so does cloud spend. Engineering teams often over-provision infrastructure 'just in case,' resulting in idle resource waste. Meanwhile, mission-critical workloads can't be evicted, limiting autoscaler efficiency. But optimizing for cost alone often leads to misconfigured workloads, scaling failures, or reduced application reliability. Without a unified view of cost across clusters, namespaces, and environments, teams struggle to understand where savings can be safely achieved. Meanwhile, open source autoscalers like Karpenter and Cluster Autoscaler are helpful, but limited—since they don't account for workload diversity, service criticality, or real-time performance metrics. The Komodor platform's latest enhancements extend and augment native autoscaling with intelligent pod placement for bin-packing optimization, as well as real-time workload right-sizing, delivering up to 40-60% in additional savings. All without compromising stability or speed. 'In large scale Kubernetes environments, cutting costs without visibility into application behavior is a recipe for downtime,' said Itiel Shwartz, Co-Founder & CTO of Komodor. 'What organizations need is a way to optimize cost and performance—across the full scope of infrastructure and application operations. That's what we've built.' New Cost Optimization Capabilities The new capabilities available in the Komodor platform help teams transition from static resource planning to dynamic, real-time cost optimization—empowering them to eliminate resource inefficiencies without increasing risk. These include: Real-Time Spend & Allocation Visibility Unified cost views across cloud, hybrid, and on-prem environments with drill-down filters for clusters, services, and namespaces—for improved team accountability and smarter decision-making. Intelligent Workload Right-Sizing AI-driven resource recommendations based on real-world usage across CPU, memory, throttling, and scheduling signals—help prevent both overprovisioning and underperformance. Advanced Bin-Packing & Pod Placement Komodor actively resolves placement blockers (e.g., Pod Disruption Budgets, affinity rules, etc.) and extends autoscaler functionality to improve node utilization, reduce fragmentation, and accelerate scaling. Autopilot Mode with Guardrails Continuous unattended and customizable optimization profiles (Conservative, Moderate, Aggressive) and safety thresholds, ensure changes are always safe, traceable, and aligned with business priorities. Smart Headroom Management Intelligently reserves and manages extra compute resources (CPU and memory) across nodes to reduce provisioning delays and improve responsiveness during spikes, deployments, or rollouts—without overprovisioning. Availability The Komodor platform with advanced cost optimization capabilities is available immediately from Komodor and its global partner network. To schedule a demo or learn more about how Komodor can help your organization achieve performance-aligned cost savings, visit About Komodor Komodor reduces the cost and complexity of managing large-scale Kubernetes environments by automating day-to-day operations, as well as health and cost optimization. The Komodor Platform proactively identifies risks that can impact application availability, reliability and performance, while providing AI-assisted root-cause analysis, troubleshooting and automated remediation playbooks. Fortune 500 companies in a wide range of industries including financial services, retail and more, rely on Komodor to empower developers, reduce TicketOps, and harness the full power of Kubernetes to accelerate their business. The company has received $67M in funding from Accel, Felicis, NFX Capital, OldSlip Group, Pitango First, Tiger Global, and Vine Ventures. For more information visit join the Komodor Kommunity, and follow us on LinkedIn and X.
