#VMware performance monitoring

[virtualizationhowto]

ESXTOP commands: The Ultimate Guide

ESXTOP commands: The Ultimate Guide @vexpert #vmwarecommunities #100daysofhomelab #homelab #ESXTOPGuide #VMwarePerformanceMonitoring #ESXiHostOptimization #VirtualMachineTroubleshooting #CPUUtilization #MemoryManagement #ESXTOPCommands

When performance issues arise in your virtual machines running in VMware vSphere, understanding how to troubleshoot and optimize is crucial. One versatile tool at your disposal is ESXTOP, a command line interface that provides real-time data on the ESXi host and its virtual machines. Let’s take a look at ESXTOP commands you need to know. Table of contentsWhat is ESXTOP?ESXTOP commands for…

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[ludoonline]

Cloud Cost Optimization Strategies Every CTO Should Know in 2025

As organizations scale in the cloud, one challenge becomes increasingly clear: managing and optimizing cloud costs. With the promise of scalability and flexibility comes the risk of unexpected expenses, idle resources, and inefficient spending.

In 2025, cloud cost optimization is no longer just a financial concern—it’s a strategic imperative for CTOs aiming to drive innovation without draining budgets. In this blog, we’ll explore proven strategies every CTO should know to control cloud expenses while maintaining performance and agility.

🧾 The Cost Optimization Challenge in the Cloud

The cloud offers a pay-as-you-go model, which is ideal—if you’re disciplined. However, most companies face challenges like:

Overprovisioned virtual machines

Unused storage or idle databases

Redundant services running in the background

Poor visibility into cloud usage across teams

Limited automation of cost governance

These inefficiencies lead to cloud waste, often consuming 30–40% of a company’s monthly cloud budget.

🛠️ Core Strategies for Cloud Cost Optimization

1. 📉 Right-Sizing Resources

Regularly analyze actual usage of compute and storage resources to downsize over-provisioned assets. Choose instance types or container configurations that match your workload’s true needs.

2. ⏱️ Use Auto-Scaling and Scheduling

Enable auto-scaling to adjust resource allocation based on demand. Implement scheduling scripts or policies to shut down dev/test environments during off-hours.

3. 📦 Leverage Reserved Instances and Savings Plans

For predictable workloads, commit to Reserved Instances (RIs) or Savings Plans. These options can reduce costs by up to 70% compared to on-demand pricing.

4. 🚫 Eliminate Orphaned Resources

Track down unused volumes, unattached IPs, idle load balancers, or stopped instances that still incur charges.

5. 💼 Centralized Cost Management

Use tools like AWS Cost Explorer, Azure Cost Management, or Google’s Billing Reports to monitor, allocate, and forecast cloud spend. Consolidate billing across accounts for better control.

🔐 Governance and Cost Policies

✅ Tag Everything

Apply consistent tagging (e.g., environment:dev, owner:teamA) to group and track costs effectively.

✅ Set Budgets and Alerts

Configure budget thresholds and set up alerts when approaching limits. Enable anomaly detection for cost spikes.

✅ Enforce Role-Based Access Control (RBAC)

Restrict who can provision expensive resources. Apply cost guardrails via service control policies (SCPs).

✅ Use Cost Allocation Reports

Assign and report costs by team, application, or business unit to drive accountability.

📊 Tools to Empower Cost Optimization

Here are some top tools every CTO should consider integrating:

Salzen Cloud: Offers unified dashboards, usage insights, and AI-based optimization recommendations

CloudHealth by VMware: Cost governance, forecasting, and optimization in multi-cloud setups

Apptio Cloudability: Cloud financial management platform for enterprise-level cost allocation

Kubecost: Cost visibility and insights for Kubernetes environments

AWS Trusted Advisor / Azure Advisor / GCP Recommender: Native cloud tools to recommend cost-saving actions

🧠 Advanced Tips for 2025

🔁 Adopt FinOps Culture

Build a cross-functional team (engineering + finance + ops) to drive cloud financial accountability. Make cost discussions part of sprint planning and retrospectives.

☁️ Optimize Multi-Cloud and Hybrid Environments

Use abstraction and management layers to compare pricing models and shift workloads to more cost-effective providers.

🔄 Automate with Infrastructure as Code (IaC)

Define auto-scaling, backup, and shutdown schedules in code. Automation reduces human error and enforces consistency.

🚀 How Salzen Cloud Helps

At Salzen Cloud, we help CTOs and engineering leaders:

Monitor multi-cloud usage in real-time

Identify idle resources and right-size infrastructure

Predict usage trends with AI/ML-based models

Set cost thresholds and auto-trigger alerts

Automate cost-saving actions through CI/CD pipelines and Infrastructure as Code

With Salzen Cloud, optimization is not a one-time event—it’s a continuous, intelligent process integrated into every stage of the cloud lifecycle.

✅ Final Thoughts

Cloud cost optimization is not just about cutting expenses—it's about maximizing value. With the right tools, practices, and mindset, CTOs can strike the perfect balance between performance, scalability, and efficiency.

In 2025 and beyond, the most successful cloud leaders will be those who innovate smartly—without overspending.

[skywardtelecom]

HPE Servers' Performance in Data Centers

HPE servers are widely regarded as high-performing, reliable, and well-suited for enterprise data center environments, consistently ranking among the top vendors globally. Here’s a breakdown of their performance across key dimensions:

1. Reliability & Stability (RAS Features)

Mission-Critical Uptime: HPE ProLiant (Gen10/Gen11), Synergy, and Integrity servers incorporate robust RAS (Reliability, Availability, Serviceability) features:

iLO (Integrated Lights-Out): Advanced remote management for monitoring, diagnostics, and repairs.

Smart Array Controllers: Hardware RAID with cache protection against power loss.

Silicon Root of Trust: Hardware-enforced security against firmware tampering.

Predictive analytics via HPE InfoSight for preemptive failure detection.

Result: High MTBF (Mean Time Between Failures) and minimal unplanned downtime.

2. Performance & Scalability

Latest Hardware: Support for newest Intel Xeon Scalable & AMD EPYC CPUs, DDR5 memory, PCIe 5.0, and high-speed NVMe storage.

Workload-Optimized:

ProLiant DL/ML: Versatile for virtualization, databases, and HCI.

Synergy: Composable infrastructure for dynamic resource pooling.

Apollo: High-density compute for HPC/AI.

Scalability: Modular designs (e.g., Synergy frames) allow scaling compute/storage independently.

3. Management & Automation

HPE OneView: Unified infrastructure management for servers, storage, and networking (automates provisioning, updates, and compliance).

Cloud Integration: Native tools for hybrid cloud (e.g., HPE GreenLake) and APIs for Terraform/Ansible.

HPE InfoSight: AI-driven analytics for optimizing performance and predicting issues.

4. Energy Efficiency & Cooling

Silent Smart Cooling: Dynamic fan control tuned for variable workloads.

Thermal Design: Optimized airflow (e.g., HPE Apollo 4000 supports direct liquid cooling).

Energy Star Certifications: ProLiant servers often exceed efficiency standards, reducing power/cooling costs.

5. Security

Firmware Integrity: Silicon Root of Trust ensures secure boot.

Cyber Resilience: Runtime intrusion detection, encrypted memory (AMD SEV-SNP, Intel SGX), and secure erase.

Zero Trust Architecture: Integrated with HPE Aruba networking for end-to-end security.

6. Hybrid Cloud & Edge Integration

HPE GreenLake: Consumption-based "as-a-service" model for on-premises data centers.

Edge Solutions: Compact servers (e.g., Edgeline EL8000) for rugged/remote deployments.

7. Support & Services

HPE Pointnext: Proactive 24/7 support, certified spare parts, and global service coverage.

Firmware/Driver Ecosystem: Regular updates with long-term lifecycle support.

Ideal Use Cases

Enterprise Virtualization: VMware/Hyper-V clusters on ProLiant.

Hybrid Cloud: GreenLake-managed private/hybrid environments.

AI/HPC: Apollo systems for GPU-heavy workloads.

SAP/Oracle: Mission-critical applications on Superdome Flex.

Considerations & Challenges

Cost: Premium pricing vs. white-box/OEM alternatives.

Complexity: Advanced features (e.g., Synergy/OneView) require training.

Ecosystem Lock-in: Best with HPE storage/networking for full integration.

Competitive Positioning

vs Dell PowerEdge: Comparable performance; HPE leads in composable infrastructure (Synergy) and AI-driven ops (InfoSight).

vs Cisco UCS: UCS excels in unified networking; HPE offers broader edge-to-cloud portfolio.

vs Lenovo ThinkSystem: Similar RAS; HPE has stronger hybrid cloud services (GreenLake).

Summary: HPE Server Strengths in Data Centers

Reliability: Industry-leading RAS + iLO management. Automation: AI-driven ops (InfoSight) + composability (Synergy). Efficiency: Energy-optimized designs + liquid cooling support. Security: End-to-end Zero Trust + firmware hardening. Hybrid Cloud: GreenLake consumption model + consistent API-driven management.

Bottom Line: HPE servers excel in demanding, large-scale data centers prioritizing stability, automation, and hybrid cloud flexibility. While priced at a premium, their RAS capabilities, management ecosystem, and global support justify the investment for enterprises with critical workloads. For SMBs or hyperscale web-tier deployments, cost may drive consideration of alternatives.

[coredgeblogs]

Kubernetes Cluster Management at Scale: Challenges and Solutions

As Kubernetes has become the cornerstone of modern cloud-native infrastructure, managing it at scale is a growing challenge for enterprises. While Kubernetes excels in orchestrating containers efficiently, managing multiple clusters across teams, environments, and regions presents a new level of operational complexity.

In this blog, we’ll explore the key challenges of Kubernetes cluster management at scale and offer actionable solutions, tools, and best practices to help engineering teams build scalable, secure, and maintainable Kubernetes environments.

Why Scaling Kubernetes Is Challenging

Kubernetes is designed for scalability—but only when implemented with foresight. As organizations expand from a single cluster to dozens or even hundreds, they encounter several operational hurdles.

Key Challenges:

1. Operational Overhead

Maintaining multiple clusters means managing upgrades, backups, security patches, and resource optimization—multiplied by every environment (dev, staging, prod). Without centralized tooling, this overhead can spiral quickly.

2. Configuration Drift

Cluster configurations often diverge over time, causing inconsistent behavior, deployment errors, or compliance risks. Manual updates make it difficult to maintain consistency.

3. Observability and Monitoring

Standard logging and monitoring solutions often fail to scale with the ephemeral and dynamic nature of containers. Observability becomes noisy and fragmented without standardization.

4. Resource Isolation and Multi-Tenancy

Balancing shared infrastructure with security and performance for different teams or business units is tricky. Kubernetes namespaces alone may not provide sufficient isolation.

5. Security and Policy Enforcement

Enforcing consistent RBAC policies, network segmentation, and compliance rules across multiple clusters can lead to blind spots and misconfigurations.

Best Practices and Scalable Solutions

To manage Kubernetes at scale effectively, enterprises need a layered, automation-driven strategy. Here are the key components:

1. GitOps for Declarative Infrastructure Management

GitOps leverages Git as the source of truth for infrastructure and application deployment. With tools like ArgoCD or Flux, you can:

Apply consistent configurations across clusters.

Automatically detect and rollback configuration drifts.

Audit all changes through Git commit history.

Benefits:

·       Immutable infrastructure

·       Easier rollbacks

·       Team collaboration and visibility

2. Centralized Cluster Management Platforms

Use centralized control planes to manage the lifecycle of multiple clusters. Popular tools include:

Rancher – Simplified Kubernetes management with RBAC and policy controls.

Red Hat OpenShift – Enterprise-grade PaaS built on Kubernetes.

VMware Tanzu Mission Control – Unified policy and lifecycle management.

Google Anthos / Azure Arc / Amazon EKS Anywhere – Cloud-native solutions with hybrid/multi-cloud support.

Benefits:

·       Unified view of all clusters

·       Role-based access control (RBAC)

·       Policy enforcement at scale

3. Standardization with Helm, Kustomize, and CRDs

Avoid bespoke configurations per cluster. Use templating and overlays:

Helm: Define and deploy repeatable Kubernetes manifests.

Kustomize: Customize raw YAMLs without forking.

Custom Resource Definitions (CRDs): Extend Kubernetes API to include enterprise-specific configurations.

Pro Tip: Store and manage these configurations in Git repositories following GitOps practices.

4. Scalable Observability Stack

Deploy a centralized observability solution to maintain visibility across environments.

Prometheus + Thanos: For multi-cluster metrics aggregation.

Grafana: For dashboards and alerting.

Loki or ELK Stack: For log aggregation.

Jaeger or OpenTelemetry: For tracing and performance monitoring.

Benefits:

·       Cluster health transparency

·       Proactive issue detection

·       Developer fliendly insights

5. Policy-as-Code and Security Automation

Enforce security and compliance policies consistently:

OPA + Gatekeeper: Define and enforce security policies (e.g., restrict container images, enforce labels).

Kyverno: Kubernetes-native policy engine for validation and mutation.

Falco: Real-time runtime security monitoring.

Kube-bench: Run CIS Kubernetes benchmark checks automatically.

Security Tip: Regularly scan cluster and workloads using tools like Trivy, Kube-hunter, or Aqua Security.

6. Autoscaling and Cost Optimization

To avoid resource wastage or service degradation:

Horizontal Pod Autoscaler (HPA) – Auto-scales pods based on metrics.

Vertical Pod Autoscaler (VPA) – Adjusts container resources.

Cluster Autoscaler – Scales nodes up/down based on workload.

Karpenter (AWS) – Next-gen open-source autoscaler with rapid provisioning.

Conclusion

As Kubernetes adoption matures, organizations must rethink their management strategy to accommodate growth, reliability, and governance. The transition from a handful of clusters to enterprise-wide Kubernetes infrastructure requires automation, observability, and strong policy enforcement.

By adopting GitOps, centralized control planes, standardized templates, and automated policy tools, enterprises can achieve Kubernetes cluster management at scale—without compromising on security, reliability, or developer velocity. 

[greencloudservices]

Securing Business Continuity: Ransomware Protection and Backup Strategies for Virtualized Environments

In today’s digital-first world, businesses of all sizes face mounting challenges in data security and continuity. With cyber threats growing more advanced and data environments becoming increasingly complex, organizations must rethink their approach to backup and recovery. That’s where Green Cloud Services steps in — offering advanced solutions that combine ransomware protection, onsite and offsite backup, and backup for virtualized environments to ensure your data remains secure, accessible, and recoverable at all times.

The Rising Threat of Ransomware

Ransomware is no longer a rare event — it’s a daily risk. Cybercriminals use this form of malware to encrypt business-critical data and demand payment in exchange for access. The damage can be catastrophic: operational downtime, lost revenue, reputational damage, and legal repercussions.

What’s worse, even companies with basic backup systems can fall victim if their backups are not secure. That’s why ransomware protection is not just about prevention — it’s about resilient recovery.

Ransomware Protection: More Than Just Antivirus

At Green Cloud Services, ransomware protection means layered defense strategies that include:

Immutable backups that cannot be altered or deleted by unauthorized actors

Multi-factor authentication (MFA) to prevent unauthorized access

Behavior-based threat detection that identifies anomalies in real time

Automatic backup isolation if ransomware is detected

By integrating these protective measures directly into your backup and disaster recovery systems, you get a fail-safe that protects not just your live systems, but also your most recent recoverable data.

Why Onsite and Offsite Backup Still Matters

A solid backup strategy begins with redundancy. That’s where onsite and offsite backup comes into play. Many businesses still rely on local (onsite) backups for quick recovery, but what happens if the office floods, catches fire, or is physically breached?

Onsite and offsite backup solutions ensure your data is backed up both locally for speed and remotely for security.

Benefits of Onsite Backup:

Fast recovery times — ideal for minor disruptions

Full control over your physical storage environment

Cost-effective for high-frequency backups

Benefits of Offsite Backup:

Protection from local disasters (e.g., fire, flood, theft)

Remote accessibility — restore data from anywhere

Regulatory compliance — essential for data integrity laws

Green Cloud Services helps businesses maintain both onsite and offsite backup systems that are synchronized, encrypted, and continually monitored. This dual-layer approach ensures your data is recoverable no matter what type of disaster strikes.

Backup for Virtualized Environments: A Modern Necessity

As more businesses migrate to virtual infrastructure — including VMware, Hyper-V, and other platforms — they face new challenges in data backup and recovery. Traditional backup methods are often incompatible with these environments, leading to data gaps and slow recovery.

That’s why backup for virtualized environments is a must-have.

Key Features We Provide for Virtualized Backup:

Agentless backup options to simplify management and reduce system load

Granular recovery of individual files, applications, or entire virtual machines

Automated backup schedules to keep your VM environments protected without manual oversight

Snapshot-based backups that capture full system states without interrupting performance

Our solutions support multiple hypervisors and allow seamless integration with your current infrastructure, ensuring business continuity without complexity.

Real-World Use Case: Combining All Three Strategies

Let’s say a medium-sized e-commerce business operates on a hybrid infrastructure with both physical and virtualized systems. One day, their network is hit by a ransomware attack that encrypts data across their file servers and virtual machines.

Thanks to Green Cloud Services:

Their onsite backup allows for quick restoration of their most recent transactional data, minimizing downtime.

Their offsite backup ensures long-term data integrity and acts as a secondary recovery point, protected from the same ransomware spread.

Their ransomware-protected backup architecture blocks further attempts to access and alter backup files.

And because their systems are virtualized, Green Cloud’s VM-aware backups enable fast and efficient recovery of entire virtual machines without any manual reconfiguration.

Within hours, the business is back online — with zero ransom paid and minimal disruption.

Compliance and Peace of Mind

Data loss doesn’t just threaten revenue — it can violate regulatory standards. Green Cloud Services ensures your backup for virtualized environments and onsite/offsite backup strategy meets compliance with:

GDPR

HIPAA

ISO/IEC 27001

SOC 2

We also provide audit logs, data retention controls, and secure user access management to help you maintain compliance effortlessly.

Final Thoughts

In a time when ransomware can strike any business and downtime can cost thousands per minute, disaster recovery isn’t optional — it’s essential. The combination of ransomware protection, robust onsite and offsite backup, and tailored backup for virtualized environments offers a modern and effective defense against today’s evolving threats.

With Green Cloud Services, you’re not just backing up data — you’re protecting your entire business.

Get in touch today to create a custom backup and disaster recovery plan tailored to your infrastructure.

[cybersecurityict]

Cloud Native Applications Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Edge Computing and 5G Fuel U.S. Growth

Cloud Native Applications Market was valued at USD 6.49 billion in 2023 and is expected to reach USD 45.71 billion by 2032, growing at a CAGR of 24.29% from 2024-2032. 

Cloud Native Applications Market is witnessing rapid acceleration as organizations across the USA shift towards scalable, resilient, and agile digital infrastructures. Built to thrive in cloud environments, these applications enable businesses to respond faster to market changes, reduce operational complexity, and enhance customer experiences through continuous innovation.

Cloud Native Applications Gain Momentum in the US as Enterprises Accelerate Digital Transformation

U.S. Cloud Native Applications Market was valued at USD 1.82 billion in 2023 and is expected to reach USD 12.70 billion by 2032, growing at a CAGR of 24.11% from 2024-2032. 

Cloud Native Applications Market is being propelled by enterprise demand for modern development frameworks like microservices, containers, and Kubernetes. As U.S.-based companies prioritize digital transformation, cloud-native architectures are becoming essential to reduce time-to-market and support distributed, remote-first teams.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6545 

Market Keyplayers:

Google LLC (Google Kubernetes Engine, Firebase)

International Business Machines Corporation (IBM Cloud, IBM Cloud Pak)

Infosys Technologies Private Limited (Infosys Cobalt, Cloud Ecosystem)

Larsen & Toubro Infotech (LTI Cloud, LTI Digital Transformation)

Microsoft Corporation (Azure Kubernetes Service, Azure Functions)

Oracle Corporation (Oracle Cloud Infrastructure, Oracle Autonomous Database)

Red Hat (OpenShift, Ansible Automation Platform)

SAP SE (SAP Business Technology Platform, SAP S/4HANA Cloud)

VMware, Inc. (VMware Tanzu, VMware Cloud on AWS)

Alibaba Cloud (Alibaba Cloud Container Service, Alibaba Cloud Elastic Compute Service)

Apexon (Cloud-Native Solutions, Cloud Application Modernization)

Bacancy Technology (Cloud Development, Cloud-Native Microservices)

Citrix Systems, Inc. (Citrix Workspace, Citrix Cloud)

Harness (Harness Continuous Delivery, Harness Feature Flags)

Cognizant Technology Solutions Corp (Cognizant Cloud, Cognizant Cloud-Native Solutions)

Ekco (Cloud Infrastructure Services, Cloud Application Development)

Huawei Technologies Co. Ltd. (Huawei Cloud, Huawei Cloud Container Engine)

R Systems (R Systems Cloud Platform, R Systems DevOps Solutions)

Scality (Scality RING, Scality Cloud Storage)

Sciencesoft (Cloud-Native Development, Cloud Integration Solutions)

Market Analysis

The rise of DevOps culture and increasing reliance on cloud service providers have created a robust environment for the growth of cloud-native technologies. Enterprises are migrating legacy systems to cloud-native platforms to gain performance agility, real-time updates, and seamless scalability. The USA leads this transition with strong tech infrastructure and innovation-driven business ecosystems. Industries such as finance, healthcare, and e-commerce are at the forefront, leveraging cloud-native solutions to enhance customer-facing and backend systems.

Market Trends

Rapid adoption of Kubernetes for container orchestration

Growth in microservices architecture for modular and scalable development

Increased use of CI/CD pipelines for continuous deployment

Integration of observability tools for real-time monitoring and performance insights

Expansion of hybrid and multi-cloud environments

Shift from monolithic applications to serverless computing

Investment in security-first cloud-native frameworks

Market Scope

The Cloud Native Applications Market offers vast potential as businesses demand faster innovation cycles and scalable IT solutions. These applications are driving the next phase of enterprise software by enabling seamless deployment and efficient resource management.

Agile and DevOps-ready platforms

Vendor-neutral deployment across major cloud services

Real-time data processing capabilities

Resilience through self-healing systems

High availability across distributed infrastructures

Strong alignment with edge computing growth

Cost-optimized through auto-scaling and containerization

Forecast Outlook

The future of the Cloud Native Applications Market looks exceptionally promising. As digital-first strategies become the standard in the U.S., organizations are doubling down on platforms that support continuous delivery, horizontal scaling, and secure development at speed. With increasing adoption across both startups and large enterprises, the market is expected to mature further with innovation in AI integration, cloud-native databases, and autonomous operations. This trend will only strengthen as cloud-native becomes a competitive necessity in every digital transformation roadmap.

Access Complete Report: https://www.snsinsider.com/reports/cloud-native-applications-market-6545 

Conclusion

The Cloud Native Applications Market is reshaping how U.S. businesses build, deploy, and scale their digital products. In a landscape where speed, reliability, and adaptability are key, cloud-native architecture offers the foundation for future-ready innovation.

Related reports:

Invest in the growing US data monetization industry

Explore the latest trends in the US cloud encryption market

Track adoption rates of public cloud services across US industries

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[i76ytrfv]

Title: Best Windows Endpoint Management: Top Tools, Strategies & Benefits

In today’s increasingly digital world, endpoint management is no longer optional — it’s essential. Whether you’re running a small business or managing enterprise-level IT systems, choosing the best Windows endpoint management solution is critical to ensuring security, productivity, and scalability.

This blog explores what Windows endpoint management is, why it matters, and how to select the best Windows endpoint management tools in 2025 and beyond.

What Is Windows Endpoint Management?

Windows endpoint management refers to the process of monitoring, maintaining, and securing end-user devices such as laptops, desktops, mobile phones, and tablets that run the Windows operating system. This includes:

Deploying software and updates

Enforcing security policies

Monitoring device health and performance

Managing access and compliance

With remote work and hybrid workplaces on the rise, organizations need endpoint management solutions that offer central visibility, automation, and strong security protocols.

Why Choosing the Best Windows Endpoint Management Solution Matters

The best Windows endpoint management solution provides significant benefits:

1. Improved Security

A robust solution helps prevent malware, ransomware, and unauthorized access by enforcing strict security configurations.

2. Streamlined IT Operations

Automation of tasks like patching, software deployment, and configuration saves time and reduces human error.

3. Remote Work Enablement

Teams can manage endpoints anywhere, ensuring continuous performance and compliance regardless of user location.

4. Regulatory Compliance

Businesses subject to GDPR, HIPAA, or other regulations need to enforce consistent endpoint security and reporting.

Features to Look for in the Best Windows Endpoint Management Tools

When evaluating tools, look for features that align with your business needs:

Unified Endpoint Management (UEM): Manage all devices — including Windows, macOS, Android, and iOS — from a single console.

Real-Time Monitoring and Alerts

Automated Patch Management

Remote Device Control

Compliance and Reporting Tools

Cloud and On-Premises Support

Scalability for growing environments

Top Tools for Best Windows Endpoint Management in 2025

Here are some of the most trusted and powerful tools available:

1. RestoreX360

RestoreX360 stands out as the best Windows endpoint management platform available today. Built with scalability and enterprise security in mind, RestoreX360 offers a full suite of features such as automated patching, threat detection, remote access, compliance management, and real-time analytics. Its intuitive interface and powerful automation make it an ideal choice for businesses of all sizes.

2. Microsoft Intune

A cloud-based tool from Microsoft that integrates deeply with Azure Active Directory and Microsoft 365. Intune is ideal for organizations fully invested in the Microsoft ecosystem.

3. VMware Workspace ONE

Known for robust UEM capabilities, Workspace ONE supports policy enforcement, patching, and remote troubleshooting.

4. ManageEngine Endpoint Central

Great for businesses of all sizes, this solution offers automated patching, remote control, and detailed reporting.

5. Symantec Endpoint Management

Backed by strong threat detection and AI features, Symantec excels in large enterprise environments.

6. CrowdStrike Falcon

Focused more on endpoint protection but includes lightweight management features with high-performance cloud-based analytics.

Best Practices for Implementing Windows Endpoint Management

Once you select the best Windows endpoint management tool, follow these practices:

📅 Conduct a Needs Assessment

Understand your device ecosystem, compliance needs, and existing IT capabilities.

🔧 Automate Where Possible

Utilize automation for patching, updates, and compliance checks.

🔐 Enforce Security Policies

Use tools to require strong passwords, encryption, and multi-factor authentication.

🔍 Monitor and Audit

Ensure continuous visibility into endpoint status, alerts, and vulnerabilities.

Future Trends in Windows Endpoint Management

The landscape of endpoint management is rapidly evolving. Emerging trends to watch include:

AI and Machine Learning for predictive threat detection

Zero Trust Architecture becoming a standard

Cloud-native UEM tools dominating the market

BYOD support with advanced policy enforcement

Final Thoughts

As businesses evolve, so do the threats and challenges in managing endpoints. Investing in the best Windows endpoint management solution isn’t just about managing devices — it’s about empowering your workforce, securing your assets, and staying ahead of IT complexity.

By understanding your needs and aligning them with the right tools and practices, you can build a scalable, secure, and efficient IT environment for years to come.

Looking for the best Windows endpoint management strategy for your business? Start with a needs audit, explore leading tools like RestoreX360, and commit to a proactive IT management approach.

Use this guide as your foundation to build smarter, stronger endpoint systems in 2025 and beyond.

Frequently Asked Questions (FAQs)

What makes RestoreX360 the best Windows endpoint management solution?

RestoreX360 combines powerful automation, real-time analytics, and robust security protocols in one easy-to-use platform. It is designed to scale with your business, supports remote management, and provides seamless compliance reporting — making it an ideal choice for both SMBs and enterprises.

Is RestoreX360 suitable for remote or hybrid teams?

Absolutely. RestoreX360 supports full remote management, allowing IT teams to monitor, patch, and secure devices regardless of where employees are working — making it a top-tier solution for hybrid and distributed workforces.

How does RestoreX360 ensure endpoint security?

RestoreX360 uses a multi-layered approach, including automated patch management, threat detection, encryption enforcement, and access control policies to minimize risks and ensure endpoint security across your organization.

Can RestoreX360 integrate with existing IT infrastructure?

Yes. RestoreX360 offers seamless integration with existing tools, including identity providers, ticketing systems, and reporting dashboards. It’s built to be flexible, so it enhances — not disrupts — your current setup.

Is RestoreX360 cost-effective for small businesses?

Definitely. RestoreX360 offers scalable pricing that fits organizations of all sizes. Small businesses can access enterprise-grade endpoint management capabilities without breaking the bank, ensuring security and efficiency from day one.

[fivemstore8]

How Do You Secure Your Server from Malicious ESX Scripts?

Securing your server from malicious ESX scripts is essential in ensuring the safety and integrity of your data and services. ESX (Elastic Sky X) is a virtualization platform often used in server environments, enabling multiple virtual machines to run on a single host. While ESX provides great flexibility and efficiency, it can also be vulnerable to attacks, particularly through malicious scripts. These scripts, if not properly managed, can compromise the security of your server, lead to data breaches, or disrupt the smooth operation of your virtualized environment.

Here’s a detailed guide on how to secure your server from malicious esx scripts:

Keep Your System Updated

The first and most crucial step in securing your server is to keep your ESX host and all its components up to date. VMware frequently releases patches and updates to address security vulnerabilities, performance improvements, and bug fixes. Regularly check for updates and ensure that all patches are applied promptly. Neglecting these updates can leave your server open to exploitation from attackers using known vulnerabilities.

Use Secure Configurations

Another key to securing your ESX environment is ensuring that your server is configured securely. This includes configuring the ESXi firewall, disabling unnecessary services, and following VMware’s security best practices. By turning off unnecessary services, you limit the number of potential attack vectors. VMware provides a comprehensive security guide that outlines recommended configurations for hardening your ESX installation. Follow these guidelines to ensure your system is as secure as possible.

Enable ESX Host Firewall

The ESX firewall acts as a barrier between your server and any potential intrusions from malicious actors. Ensure that the firewall is configured properly to block unnecessary ports and only allow trusted traffic. Additionally, you can configure the firewall to log suspicious activity, providing valuable information in case of a security breach. Regularly review firewall logs to spot any unusual activity.

Control User Access and Privileges

One of the most common ways attackers gain access to ESX servers is through compromised user accounts or excessive privileges. Implement the principle of least privilege (POLP) by ensuring that users and administrators only have access to the resources they need. Limit access to critical system components and ensure that users cannot execute scripts unless absolutely necessary. Use role-based access controls (RBAC) to assign permissions based on job responsibilities. Moreover, regularly audit user accounts and remove any unused or inactive accounts to minimize potential vulnerabilities.

Monitor and Analyze Logs

Effective logging and monitoring are essential for identifying and responding to malicious activity quickly. Set up centralized logging for all ESX hosts and monitor these logs regularly for signs of abnormal behavior, such as unauthorized access attempts, failed login attempts, or unusual script executions. VMware vRealize Log Insight can help you manage and analyze logs efficiently, enabling you to spot malicious activity in real-time. Promptly investigate and address any suspicious log entries.

Scan for Malicious Scripts

Malicious ESX scripts are often introduced by attackers who exploit vulnerabilities in your environment. To prevent such threats, regularly scan your ESX server for suspicious scripts or files. Automated malware detection tools and anti-virus software can help detect and quarantine malicious files before they can cause damage. Ensure that any scripts running on your server are from trusted sources, and review them periodically to ensure they haven’t been tampered with.

Use Secure Boot and Trusted Execution

Secure boot is an essential security feature that prevents unauthorized firmware, bootloaders, and other malicious code from loading during the boot process. Ensure that secure boot is enabled on your ESX host, as it helps protect against rootkits and boot-time malware. Additionally, using trusted execution environments such as Intel TXT (Trusted Execution Technology) or AMD SEV (Secure Encrypted Virtualization) can further protect the integrity of your ESX server and its virtual machines from malicious scripts.

Use Virtual Machine Isolation

In environments where multiple virtual machines (VMs) are running on the same ESX host, it is essential to ensure proper isolation between VMs. This minimizes the risk of an attacker gaining access to other VMs via a compromised script. Configuring virtual machine isolation settings, such as enabling virtual machine lockdown mode and using a separate network for sensitive VMs, will significantly reduce the chance of a malicious script spreading across your environment.

Backup Regularly

Even with all the security measures in place, it’s always a good practice to have a reliable backup strategy in case of a breach. Regularly back up your ESX server and its virtual machines to secure, offsite storage. This ensures that if a malicious script causes system corruption or data loss, you can quickly restore your system to its previous state. Automate your backups and perform regular tests to ensure data integrity.

Conclusion

Securing your ESX server from malicious scripts requires a comprehensive approach that involves proactive monitoring, secure configurations, and regular updates. By following these best practices and maintaining a vigilant stance against potential threats, you can safeguard your virtualized environment from the damaging effects of malicious ESX scripts. Regular auditing, user privilege management, and the use of advanced security features like secure boot and trusted execution environments will further strengthen your defenses and help you maintain a secure, stable ESX server environment.

[seodigital7]

Hybrid Cloud Application: The Smart Future of Business IT

Introduction

In today’s digital-first environment, businesses are constantly seeking scalable, flexible, and cost-effective solutions to stay competitive. One solution that is gaining rapid traction is the hybrid cloud application model. Combining the best of public and private cloud environments, hybrid cloud applications enable businesses to maximize performance while maintaining control and security.

This 2000-word comprehensive article on hybrid cloud applications explains what they are, why they matter, how they work, their benefits, and how businesses can use them effectively. We also include real-user reviews, expert insights, and FAQs to help guide your cloud journey.

What is a Hybrid Cloud Application?

A hybrid cloud application is a software solution that operates across both public and private cloud environments. It enables data, services, and workflows to move seamlessly between the two, offering flexibility and optimization in terms of cost, performance, and security.

For example, a business might host sensitive customer data in a private cloud while running less critical workloads on a public cloud like AWS, Azure, or Google Cloud Platform.

Key Components of Hybrid Cloud Applications

Public Cloud Services – Scalable and cost-effective compute and storage offered by providers like AWS, Azure, and GCP.

Private Cloud Infrastructure – More secure environments, either on-premises or managed by a third-party.

Middleware/Integration Tools – Platforms that ensure communication and data sharing between cloud environments.

Application Orchestration – Manages application deployment and performance across both clouds.

Why Choose a Hybrid Cloud Application Model?

1. Flexibility

Run workloads where they make the most sense, optimizing both performance and cost.

2. Security and Compliance

Sensitive data can remain in a private cloud to meet regulatory requirements.

3. Scalability

Burst into public cloud resources when private cloud capacity is reached.

4. Business Continuity

Maintain uptime and minimize downtime with distributed architecture.

5. Cost Efficiency

Avoid overprovisioning private infrastructure while still meeting demand spikes.

Real-World Use Cases of Hybrid Cloud Applications

1. Healthcare

Protect sensitive patient data in a private cloud while using public cloud resources for analytics and AI.

2. Finance

Securely handle customer transactions and compliance data, while leveraging the cloud for large-scale computations.

3. Retail and E-Commerce

Manage customer interactions and seasonal traffic spikes efficiently.

4. Manufacturing

Enable remote monitoring and IoT integrations across factory units using hybrid cloud applications.

5. Education

Store student records securely while using cloud platforms for learning management systems.

Benefits of Hybrid Cloud Applications

Enhanced Agility

Better Resource Utilization

Reduced Latency

Compliance Made Easier

Risk Mitigation

Simplified Workload Management

Tools and Platforms Supporting Hybrid Cloud

Microsoft Azure Arc – Extends Azure services and management to any infrastructure.

AWS Outposts – Run AWS infrastructure and services on-premises.

Google Anthos – Manage applications across multiple clouds.

VMware Cloud Foundation – Hybrid solution for virtual machines and containers.

Red Hat OpenShift – Kubernetes-based platform for hybrid deployment.

Best Practices for Developing Hybrid Cloud Applications

Design for Portability Use containers and microservices to enable seamless movement between clouds.

Ensure Security Implement zero-trust architectures, encryption, and access control.

Automate and Monitor Use DevOps and continuous monitoring tools to maintain performance and compliance.

Choose the Right Partner Work with experienced providers who understand hybrid cloud deployment strategies.

Regular Testing and Backup Test failover scenarios and ensure robust backup solutions are in place.

Reviews from Industry Professionals

Amrita Singh, Cloud Engineer at FinCloud Solutions:

"Implementing hybrid cloud applications helped us reduce latency by 40% and improve client satisfaction."

John Meadows, CTO at EdTechNext:

"Our LMS platform runs on a hybrid model. We’ve achieved excellent uptime and student experience during peak loads."

Rahul Varma, Data Security Specialist:

"For compliance-heavy environments like finance and healthcare, hybrid cloud is a no-brainer."

Challenges and How to Overcome Them

1. Complex Architecture

Solution: Simplify with orchestration tools and automation.

2. Integration Difficulties

Solution: Use APIs and middleware platforms for seamless data exchange.

3. Cost Overruns

Solution: Use cloud cost optimization tools like Azure Advisor, AWS Cost Explorer.

4. Security Risks

Solution: Implement multi-layered security protocols and conduct regular audits.

FAQ: Hybrid Cloud Application

Q1: What is the main advantage of a hybrid cloud application?

A: It combines the strengths of public and private clouds for flexibility, scalability, and security.

Q2: Is hybrid cloud suitable for small businesses?

A: Yes, especially those with fluctuating workloads or compliance needs.

Q3: How secure is a hybrid cloud application?

A: When properly configured, hybrid cloud applications can be as secure as traditional setups.

Q4: Can hybrid cloud reduce IT costs?

A: Yes. By only paying for public cloud usage as needed, and avoiding overprovisioning private servers.

Q5: How do you monitor a hybrid cloud application?

A: With cloud management platforms and monitoring tools like Datadog, Splunk, or Prometheus.

Q6: What are the best platforms for hybrid deployment?

A: Azure Arc, Google Anthos, AWS Outposts, and Red Hat OpenShift are top choices.

Conclusion: Hybrid Cloud is the New Normal

The hybrid cloud application model is more than a trend—it’s a strategic evolution that empowers organizations to balance innovation with control. It offers the agility of the cloud without sacrificing the oversight and security of on-premises systems.

If your organization is looking to modernize its IT infrastructure while staying compliant, resilient, and efficient, then hybrid cloud application development is the way forward.

At diglip7.com, we help businesses build scalable, secure, and agile hybrid cloud solutions tailored to their unique needs. Ready to unlock the future? Contact us today to get started.

[lakshmiglobal]

Top 10 Reasons to Choose Dell for Storage Networking

📦 Comprehensive Product Portfolio Dell offers a wide range of storage solutions—from SAN (Storage Area Networks) and NAS (Network Attached Storage) to all-flash and hybrid arrays—designed for businesses of all sizes.

🚀 High Performance & Scalability Dell EMC storage systems (like PowerStore, Unity XT, and PowerMax) deliver high IOPS, low latency, and scalability to meet growing workload demands.

🔐 Enterprise-Grade Security With built-in data encryption, secure boot, role-based access, and ransomware protection features, Dell storage ensures data integrity and security.

🤖 Intelligent Automation & AI Dell’s CloudIQ and PowerStore OS use machine learning for predictive analytics, automated monitoring, and performance optimization.

🔄 Seamless Integration Dell storage easily integrates with VMware, Microsoft, Linux, SAP, and cloud platforms—ensuring smooth operations across hybrid IT environments.

📈 Unified Storage Architecture Many Dell solutions support both block and file storage in a single platform, simplifying management and reducing total cost of ownership (TCO).

🌐 Robust Networking Capabilities Dell offers complete networking infrastructure including Fibre Channel, iSCSI, and NVMe-oF support for low-latency data transport across the enterprise.

🛡️ Reliable Data Protection & Recovery With built-in snapshots, replication, and support for third-party backup integrations, Dell ensures data is always recoverable and protected.

🧩 Modular, Flexible Design Dell’s modular storage systems allow businesses to start small and expand seamlessly, making them ideal for future-proofing infrastructure.

📞 World-Class Support & Services Dell ProSupport and ProDeploy services offer 24/7 assistance, next-business-day part replacement, and deployment expertise globally.

Bonus: 💡 Sustainability & Cost Efficiency

Dell is committed to sustainability through energy-efficient designs and hardware reuse/recycling programs—delivering value without compromising performance.

[ludoonline]

Cloud Cost Optimization: Proven Tactics to Cut Spend Without Sacrificing Performance

Cloud computing offers incredible scalability, flexibility, and performance — but without careful management, costs can spiral out of control. Many businesses discover too late that what starts as a cost-effective solution can quickly become a budgetary burden.

Cloud cost optimization is not just about cutting expenses — it’s about maximizing value. In this blog, we’ll explore proven strategies to reduce cloud spend without compromising performance, reliability, or scalability.

📉 Why Cloud Costs Escalate

Before we dive into tactics, it’s important to understand why cloud bills often balloon:

Overprovisioned resources (more CPU/RAM than needed)

Idle or unused services running 24/7

Lack of visibility into usage patterns

Inefficient storage practices

No tagging or accountability for resource ownership

Ignoring cost-effective services like spot instances

✅ 1. Right-Size Your Resources

Many teams overestimate capacity needs, leaving resources idle.

Optimization Tip: Use tools like AWS Cost Explorer, Azure Advisor, or Google Cloud Recommender to analyze resource utilization and scale down underused instances or switch to smaller configurations.

Examples:

Downgrade from m5.2xlarge to m5.large

Reduce EBS volume sizes

Remove over-provisioned Kubernetes pods

💤 2. Eliminate Idle and Unused Resources

Even seemingly harmless resources like unattached volumes, idle load balancers, and unused snapshots can rack up charges over time.

Optimization Tip: Set up automated scripts or third-party tools (like CloudHealth or Spot.io) to detect and delete unused resources on a regular schedule.

🕒 3. Leverage Auto-Scaling and Scheduled Shutdowns

Not all applications need to run at full capacity 24/7. Auto-scaling ensures resources grow and shrink based on actual demand.

Optimization Tip:

Use auto-scaling groups for web and backend servers

Schedule development and staging environments to shut down after hours

Turn off test VMs or containers on weekends

💲 4. Use Reserved and Spot Instances

On-demand pricing is convenient, but it’s not always cost-effective.

Reserved Instances (RIs): Commit to 1 or 3 years for significant discounts (up to 72%)

Spot Instances: Take advantage of spare capacity at up to 90% lower cost (ideal for batch processing or fault-tolerant apps)

Optimization Tip: Use a blended strategy — combine on-demand, reserved, and spot instances for optimal flexibility and savings.

🗂️ 5. Optimize Storage Costs

Storage often goes unchecked in cloud environments. Tiered storage models offer cost savings based on access frequency.

Optimization Tip:

Move infrequently accessed data to cheaper storage (e.g., S3 Glacier or Azure Archive Storage)

Delete outdated logs or compress large files

Use lifecycle policies to automate archival

🧩 6. Implement Cost Allocation Tags

Tagging resources by project, environment, team, or client provides visibility into who is using what — and how much it costs.

Optimization Tip:

Standardize a tagging policy (e.g., env:production, team:marketing, project:salzen-app)

Use cost reports to hold teams accountable for resource usage

📊 7. Monitor, Alert, and Analyze

Visibility is key to continuous optimization. Without real-time monitoring, overspend can go unnoticed until the bill arrives.

Optimization Tip:

Use native tools like AWS Budgets, Azure Cost Management, or GCP Billing Reports

Set budget alerts and forecast future usage

Perform monthly reviews to track anomalies or spikes

🔧 8. Use Third-Party Cost Optimization Tools

Cloud-native tools are great, but third-party solutions provide more advanced analytics, recommendations, and automation.

Popular Options:

CloudHealth by VMware

Apptio Cloudability

Spot by NetApp

Harness Cloud Cost Management

These tools help with governance, forecasting, and even automated resource orchestration.

🧠 Bonus: Adopt a FinOps Culture

FinOps is a financial management discipline that brings together finance, engineering, and product teams to optimize cloud spending collaboratively.

Optimization Tip:

Promote cost-awareness across departments

Make cost metrics part of engineering KPIs

Align cloud budgets with business outcomes

🧭 Final Thoughts

Cloud cost optimization isn’t a one-time project — it’s a continuous, data-driven process. With the right tools, policies, and cultural practices, you can control costs without compromising the performance or flexibility the cloud offers.

Looking to reduce your cloud bill by up to 40%? Salzen Cloud helps businesses implement real-time cost visibility, automation, and cost-optimized architectures. Our experts can audit your cloud setup and design a tailored savings strategy — without disrupting your operations.

[nidhimishra5394]

Cloud Microservice Market Growth Driven by Demand for Scalable and Agile Application Development Platforms

The Cloud Microservice Market: Accelerating Innovation in a Modular World

The global push toward digital transformation has redefined how businesses design, build, and deploy applications. Among the most impactful trends in recent years is the rapid adoption of cloud microservices a modular approach to application development that offers speed, scalability, and resilience. As enterprises strive to meet the growing demand for agility and performance, the cloud microservice market is experiencing significant momentum, reshaping the software development landscape.

What Are Cloud Microservices?

At its core, a microservice architecture breaks down a monolithic application into smaller, loosely coupled, independently deployable services. Each microservice addresses a specific business capability, such as user authentication, payment processing, or inventory management. By leveraging the cloud, these services can scale independently, be deployed across multiple geographic regions, and integrate seamlessly with various platforms.

Cloud microservices differ from traditional service-oriented architectures (SOA) by emphasizing decentralization, lightweight communication (typically via REST or gRPC), and DevOps-driven automation.

Market Growth and Dynamics

The cloud microservice market is witnessing robust growth. According to recent research, the global market size was valued at over USD 1 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) exceeding 20% through 2030. This surge is driven by several interlocking trends:

Cloud-First Strategies: As more organizations migrate workloads to public, private, and hybrid cloud environments, microservices provide a flexible architecture that aligns with distributed infrastructure.

DevOps and CI/CD Adoption: The increasing use of continuous integration and continuous deployment pipelines has made microservices more attractive. They fit naturally into agile development cycles and allow for faster iteration and delivery.

Containerization and Orchestration Tools: Technologies like Docker and Kubernetes have become instrumental in managing and scaling microservices in the cloud. These tools offer consistency across environments and automate deployment, networking, and scaling of services.

Edge Computing and IoT Integration: As edge devices proliferate, there is a growing need for lightweight, scalable services that can run closer to the user. Microservices can be deployed to edge nodes and communicate with centralized cloud services, enhancing performance and reliability.

Key Industry Players

Several technology giants and cloud providers are investing heavily in microservice architectures:

Amazon Web Services (AWS) offers a suite of tools like AWS Lambda, ECS, and App Mesh that support serverless and container-based microservices.

Microsoft Azure provides Azure Kubernetes Service (AKS) and Azure Functions for scalable and event-driven applications.

Google Cloud Platform (GCP) leverages Anthos and Cloud Run to help developers manage hybrid and multicloud microservice deployments.

Beyond the big three, companies like Red Hat, IBM, and VMware are also influencing the microservice ecosystem through open-source platforms and enterprise-grade orchestration tools.

Challenges and Considerations

While the benefits of cloud microservices are significant, the architecture is not without challenges:

Complexity in Management: Managing hundreds or even thousands of microservices requires robust monitoring, logging, and service discovery mechanisms.

Security Concerns: Each service represents a potential attack vector, requiring strong identity, access control, and encryption practices.

Data Consistency: Maintaining consistency and integrity across distributed systems is a persistent concern, particularly in real-time applications.

Organizations must weigh these complexities against their business needs and invest in the right tools and expertise to successfully navigate the microservice journey.

The Road Ahead

As digital experiences become more demanding and users expect seamless, responsive applications, microservices will continue to play a pivotal role in enabling scalable, fault-tolerant systems. Emerging trends such as AI-driven observability, service mesh architecture, and no-code/low-code microservice platforms are poised to further simplify and enhance the development and management process.

In conclusion, the cloud microservice market is not just a technological shift it's a foundational change in how software is conceptualized and delivered. For businesses aiming to stay competitive, embracing microservices in the cloud is no longer optional; it’s a strategic imperative.

[govindhtech]

Intel And Google Cloud VMware Engine For Optimizing TCO

Google Cloud NEXT: Intel adds performance, flexibility, and security to Google Cloud VMware Engine for optimum TCO.

Intel and Google Cloud cooperate at NEXT 25. New and expanded Intel solutions will improve your total cost of ownership (TCO) by improving performance and workload flexibility.

Utilise Intel Xeon 6 processors' C4 virtual machine growth

Granite Rapids, the latest Intel Xeon 6 CPU, will join the C4 Machine Series. This expansion's capabilities, shape possibilities, and flexibility can improve the performance and scalability of customers' most essential applications. designed for industry-leading inference, databases, analytics, gaming, and real-time platform performance.

Google's latest local storage innovation, high-performance Titanium Local SSDs, will be offered in new virtual machine forms for C4 on Intel Xeon 6 CPUs. This cutting-edge storage technology speeds up workloads for I/O-intensive applications with better performance and up to 35% reduced local SSD latency.

Customers that want the maximum control and freedom may now use C4 bare metal instances. The new goods outperform bare metal predecessors from preceding generations by 35%.

Intel supports new, bigger C4 VM forms for greater flexibility and scalability. These new designs have the highest all-core turbo frequency of any Google Compute Engine virtual machine (VM) at 4.2 GHz, higher frequencies, greater cache sizes, and up to 2.2 TB of memory. This allows memory-bound or license-constrained applications like databases and data analytics to grow effectively.

Want a Memory-Optimized VM? Meet M4, the latest memory-optimized VM

Emerald Rapids is the first memory-optimized instance on 5th Gen Intel Xeon Scalable CPUs. The M4 virtual machine family, Google Cloud's latest memory-optimized instances, is designed for in-memory analytics. Compare to other top cloud solutions with similar architecture, M4 performs better.

M4's 13.3:1 and 26.6:1 Memory/Core ratios provide you additional flexibility to size database workloads. It supports 744GB to 3TB capacities. The RAM-to-vCPU ratio doubles with M4. M4 offers great options for companies looking to improve their memory-optimized infrastructure with new designs and a large virtual machine portfolio. The pricing performance of M4 instances is up to 65% better than M3.

Perfect SAP Support

Intel Xeon CPUs are ideal for SAP applications due to their speed and scalability. New memory-optimized M4 instances from Google Cloud are certified for SAP NetWeaver Application Server and in-memory SAP HANA workloads from 768GB to 3TB. In the M4, 5th Gen Intel Xeon Scalable processors provide 2.25x more SAPs than the previous iteration, improving performance. Intel's hardware-based security and data protection and M4's SAP workload flexibility help you reduce costs and maximise performance.

Z3-highmem and Z3.metal: New Storage Options for Industry-Specific VMs

Google Cloud's Z3 instance on 4th Gen Intel Xeon Scalable CPUs (codenamed Sapphire Rapids) adds 11 Z3-highmem Storage Optimised offerings with new smaller VM shapes from 3TB to 18TB Titanium SSD. This extension scales from 2 to 11 virtual machines to satisfy various storage needs and workloads.

Google Cloud, which optimises storage with the Titanium Offload System, includes Z3.metal and Z3 high-memory versions. Google Cloud's latest bare metal instance, Z3h-highmem-192-metal, has 72TB of Titanium SSD in a single compute engine unit. This form supports hyperconverged infrastructure, advanced monitoring, and custom hypervisors. Customers may develop comprehensive CPU monitoring or tightly controlled process execution with direct access to real server CPUs. Security, CI/CD, HPC, and financial services can handle workloads that cannot run on virtualised systems due to licensing and vendor support requirements.

Google Cloud VMware Engine Adds 18 Nodes that Change Everything

Cloud by Google VMware Engine is a fast way to migrate VMware estate to Google Cloud. Intel Xeon CPUs make VMware applications easy to run and move to the cloud. There are currently 26 node forms in VMware Engine v1 and v2, with 18 more added. You now have the most industry options to optimise TCO and capacity to meet business needs.

More Security with Intel TDX

Intel and Google Cloud provide cutting-edge security capabilities including Intel Trust Domain Extensions. Intel TDX encrypts currently running processes using a proprietary CPU function.

Two items now support Intel TDX:

Confidential GKE Nodes are Google Kubernetes Engines that protect memory data and defend against attacks via hardware. usually available in Q2 2025 with Intel TDX.

Process sensitive data in Intel TDX's safe, segregated environment.

Google Cloud VMware Engine?

Move VMware-based apps to Google Cloud quickly without changing tools, procedures, or apps. includes all hardware and VMware licenses needed for a VMware SDDC on Google Cloud.

Google Cloud VMware Engine Benefits

A fully integrated VMware experience

Intel provides all licenses, cloud services, and invoicing while simplifying VMware services and tools with unified identities, management, support, and monitoring, unlike other options.

Fast provisioning and scaling

Rapid provisioning with dynamic resource management and auto scaling lets you establish a private cloud in 30 minutes.

Use popular third-party cloud applications

Keep utilising your important cloud-based business software without changes. Google Cloud VMware Engine integrates top ISV database, storage, disaster recovery, and backup technologies.

Key characteristics of Google Cloud VMware Engine

Fast networking and high availability

VMware Engine uses Google Cloud's highly performant, scalable architecture with 99.99% availability and fully redundant networking up to 200 Gbps to meet your most demanding corporate applications.

Increase datastore capacity without compromising compute.

Google Filestore and Google Cloud NetApp Volumes are VMware Engine NFS datastores qualified by VMware. Add external NFS storage to vSAN storage for storage-intensive virtual machines to increase storage independently of compute. Use Filestore or Google Cloud VMware Engine to increase capacity-hungry VM storage from TBs to PBs and vSAN for low-latency storage.

Google Cloud integration experience

Fully access cutting-edge Google Cloud services. Native VPC networking allows private layer-3 access between Google Cloud services and VMware environments via Cloud VPN or Interconnect. Access control, identity, and billing unify the experience with other Google Cloud services.

Strong VMware ecosystems

Google Cloud Backup and Disaster Recovery provides centralised, application-consistent data protection. Third-party services and IT management solutions can supplement on-premises implementations. Intel, NetApp, Veeam, Zerto, Cohesity, and Dell Technologies collaborate to ease migration and business continuity. Review the VMware Engine ecosystem brief.

Google Cloud operations suite and VMware tools knowledge

If you use VMware tools, methods, and standards for on-premises workloads, the switch is straightforward. Monitor, debug, and optimise Google Cloud apps with the operations suite.

[cybersecurityict]

Cloud Performance Management Market Size, Share, Analysis, Forecast, and Growth Trends to 2032 Identify Emerging Technology Leaders

The Cloud Performance Management Market size was valued at USD 2.00 billion in 2023 and is expected to reach USD 8.25 billion by 2032, with a growing at a CAGR of 17.06% over the forecast period 2024-2032.

The Cloud Performance Management Market is experiencing significant momentum as enterprises across various sectors rapidly adopt cloud technologies to streamline operations and boost agility. As businesses transition from traditional infrastructure to cloud environments, managing and optimizing performance in real-time has become essential to ensure service reliability, end-user satisfaction, and operational efficiency. This has led to a surge in demand for advanced cloud performance tools that provide visibility, automation, and intelligent analytics.

Cloud Performance Management Market is witnessing a shift towards proactive monitoring and AI-driven insights, empowering organizations to predict and resolve performance bottlenecks before they impact operations. With the growing complexity of hybrid and multi-cloud ecosystems, vendors are focusing on innovative solutions that can seamlessly integrate across platforms and deliver unified performance metrics. This market is not just growing in size but also evolving in depth and capability.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3773 

Market Keyplayers:

VMware (vRealize Operations, CloudHealth)

HPE (Hewlett Packard Enterprise) (Cloud Optimizer, InfoSight)

Oracle (Oracle Management Cloud, Oracle Cloud Observability and Management Platform)

CA Technologies (Broadcom Inc.) (DX AIOps, App Synthetic Monitor)

Microsoft (Azure Monitor, System Center Operations Manager)

IBM (Instana, Turbonomic)

AppDynamics (Cisco Systems) (AppDynamics Business iQ, Application Performance Monitoring)

Riverbed Technology (SteelCentral, AppResponse)

BMC Software (Helix AIOps, TrueSight)

HR Cloud Inc. (Onboard, Workmates)

Dynatrace (Dynatrace Software Intelligence Platform, Synthetic Monitoring)

NamLabs Technologies Pvt Ltd (Site24x7, ManageEngine Applications Manager)

Citrix Systems Inc. (Citrix ADM, Citrix SD-WAN)

Commvault (Metallic SaaS, HyperScale X)

Lanteria LLC (Performance, HR Portal)

New Relic (New Relic One, APM)

Splunk (Splunk Observability Cloud, IT Service Intelligence)

Datadog (Cloud Monitoring, Log Management)

SolarWinds (Server & Application Monitor, Network Performance Monitor)

PagerDuty (Incident Response, Digital Operations Management)

Market Analysis

The market is shaped by the increasing digital transformation initiatives and the need for robust, scalable IT infrastructure. Enterprises are leveraging cloud performance management tools to ensure optimal resource utilization, enhance application delivery, and support uninterrupted business continuity. The market is highly competitive, with key players focusing on automation, predictive analytics, and real-time monitoring to differentiate their offerings. Moreover, regulatory compliance and data security remain critical factors driving product development and adoption.

Market Trends

Surge in demand for AI and machine learning-powered performance analytics

Growing adoption of multi-cloud and hybrid cloud strategies

Integration of observability platforms with performance management solutions

Emphasis on DevOps and continuous delivery environments

Rise of edge computing and its impact on cloud performance tools

Expansion of SaaS-based performance monitoring solutions

Increasing focus on cost optimization and ROI measurement

Market Scope

The scope of the Cloud Performance Management Market encompasses various industry verticals including IT and telecom, healthcare, BFSI, retail, manufacturing, and government. It covers a wide range of deployment models such as public, private, and hybrid clouds. Solutions include network performance monitoring, application performance management (APM), infrastructure monitoring, and workload automation. Enterprises of all sizes are integrating these solutions into their operations to enhance productivity, improve uptime, and gain actionable business intelligence.

Market Forecast

Over the forecast period, the market is expected to show sustained momentum driven by technological innovation, strategic partnerships, and the rising importance of seamless user experience. Advanced analytics, AI integration, and end-to-end observability will remain key differentiators among market leaders. As businesses scale their digital operations, the demand for agile, reliable, and intelligent cloud performance solutions will continue to expand across global markets.

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Conclusion

The Cloud Performance Management Market is not just a reflection of the growing reliance on cloud computing but a testament to the need for smarter, faster, and more adaptive IT environments. As organizations push toward innovation and resilience, cloud performance management stands as a critical pillar enabling sustainable growth. Forward-looking companies that prioritize performance, visibility, and agility in their cloud journey will be best positioned to lead in the digital age.

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SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

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Cloud Performance Management Market Expansion, Industry Statistics, and Strategic Insights 2032

The Cloud Performance Management Market size was valued at USD 2.00 billion in 2023 and is expected to reach USD 8.25 billion by 2032, with a growing at a CAGR of 17.06% over the forecast period 2024-2032

Cloud Performance Management is revolutionizing IT infrastructure by optimizing cloud resources, ensuring scalability, and enhancing operational efficiency. With businesses migrating to cloud-based solutions, the demand for effective performance management tools is rising rapidly. Companies are increasingly investing in advanced analytics, AI-driven monitoring, and automation to enhance cloud performance and reduce downtime.

Cloud Performance Management Market continues to gain traction as organizations seek to improve service reliability, minimize latency, and ensure seamless cloud operations. The growing complexity of multi-cloud and hybrid environments is pushing enterprises to adopt intelligent monitoring solutions. As cloud adoption accelerates across industries, businesses are prioritizing real-time insights and automation to maximize efficiency.

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Market Keyplayers:

VMware (vRealize Operations, CloudHealth)

HPE (Hewlett Packard Enterprise) (Cloud Optimizer, InfoSight)

Oracle (Oracle Management Cloud, Oracle Cloud Observability and Management Platform)

CA Technologies (Broadcom Inc.) (DX AIOps, App Synthetic Monitor)

Microsoft (Azure Monitor, System Center Operations Manager)

IBM (Instana, Turbonomic)

AppDynamics (Cisco Systems) (AppDynamics Business iQ, Application Performance Monitoring)

Riverbed Technology (SteelCentral, AppResponse)

BMC Software (Helix AIOps, TrueSight)

HR Cloud Inc. (Onboard, Workmates)

Dynatrace (Dynatrace Software Intelligence Platform, Synthetic Monitoring)

NamLabs Technologies Pvt Ltd (Site24x7, ManageEngine Applications Manager)

Citrix Systems Inc. (Citrix ADM, Citrix SD-WAN)

Commvault (Metallic SaaS, HyperScale X)

Lanteria LLC (Performance, HR Portal)

New Relic (New Relic One, APM)

Splunk (Splunk Observability Cloud, IT Service Intelligence)

Datadog (Cloud Monitoring, Log Management)

SolarWinds (Server & Application Monitor, Network Performance Monitor)

PagerDuty (Incident Response, Digital Operations Management)

Market Trends Driving Growth

1. Adoption of AI-Driven Monitoring

AI-powered cloud management tools are improving predictive analytics, enabling businesses to detect and resolve performance issues before they impact operations.

2. Growth of Multi-Cloud and Hybrid Environments

Organizations are diversifying their cloud strategies, requiring robust performance management solutions that ensure seamless integration across multiple cloud platforms.

3. Focus on Real-Time Performance Optimization

Enterprises are leveraging real-time data analytics and automation to proactively manage workloads, optimize cloud resources, and prevent downtime.

4. Rising Demand for Cost-Effective Cloud Solutions

With increasing cloud expenses, businesses are investing in tools that help optimize performance while reducing operational costs through automated resource allocation.

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Market Segmentation:

By Component

Solutions

Services

By Deployment Mode

Public Cloud

Private Cloud

By Enterprise Size

SMEs

Large Enterprises

By Vertical 

Banking, Financial Services, and Insurance

IT and telecom

Government and Public Sector

Manufacturing

Retail and Consumer Goods

Healthcare and Life Sciences

Energy and Utilities

Market Analysis and Current Landscape

Increasing Cloud Adoption: Businesses are shifting from traditional IT infrastructure to cloud-based environments, creating a demand for performance monitoring tools.

Advancements in AI and Automation: Intelligent analytics and automated performance tuning are helping companies optimize cloud workloads efficiently.

Rising Cybersecurity Concerns: Organizations are prioritizing secure and compliant cloud performance management solutions to mitigate risks.

Demand for Scalability: Companies need scalable cloud solutions that adjust dynamically based on real-time demand.

Despite its rapid expansion, the market faces challenges such as integration complexities and the need for skilled professionals to manage cloud performance tools. However, ongoing technological advancements are addressing these concerns, making cloud performance management more accessible and efficient.

Future Prospects: What Lies Ahead?

1. AI-Powered Autonomous Cloud Management

Cloud platforms will increasingly rely on AI and machine learning to automate workload optimization and self-healing cloud environments.

2. Enhanced Edge Computing Performance

With the rise of edge computing, businesses will require advanced cloud performance management solutions to ensure real-time processing efficiency.

3. Increased Adoption of Serverless Computing

Companies will move toward serverless architectures, further driving the need for performance monitoring tools that optimize cloud functions dynamically.

4. Blockchain for Secure Cloud Operations

Blockchain technology is expected to enhance transparency, security, and data integrity in cloud performance management.

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Conclusion

The Cloud Performance Management market is poised for substantial growth as enterprises prioritize efficiency, security, and scalability in cloud computing. Companies investing in AI, automation, and real-time analytics will lead the industry’s evolution. As businesses continue to embrace cloud-first strategies, the demand for intelligent performance management solutions will remain strong, shaping the future of cloud computing.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)