#hybrid cloud according to azure stack

[mlmgigsoftware]

Why Do MLM Companies Need Software?

1. Complex Commission Structures

MLM businesses operate using various commission and bonus models. Manual calculation is time-consuming and error-prone. Software automates the process, ensuring accuracy and timely payouts.

2. User Management

With potentially thousands of users in a growing network, it’s critical to have an organized system for user data, genealogy trees, and performance tracking.

3. Compliance & Security

Regulatory compliance and data security are crucial in MLM. Custom software ensures these aspects are covered with audit logs, secure payment gateways, and privacy protection.

4. Real-Time Analytics

MLM software provides dashboards for real-time tracking of sales, recruitment, income, and overall network performance.

Key Features of MLM Software

1. Customizable Compensation Plans

MLM software supports various plans like:

Binary Plan

Unilevel Plan

Matrix Plan

Board Plan

Hybrid Plan

Australian and Monoline Plans

Flexibility to customize or combine these plans is essential.

2. E-Wallet Integration

Users and admins benefit from integrated e-wallets that support deposits, withdrawals, transfers, and transaction histories.

3. Genealogy Tree View

A graphical representation of the downline structure helps users understand their network and strategize better.

4. Automated Commission Calculations

Daily, weekly, or monthly commissions can be automatically calculated and disbursed according to company policies.

5. User and Admin Dashboards

Separate dashboards offer relevant insights and functionalities, such as new sign-ups, top performers, sales graphs, and activity logs.

6. Replicated Websites

For branding and recruitment, each distributor can have a personal website linked to the central system.

7. Multi-Currency and Multi-Language Support

To support international expansion, MLM software often includes multi-language interfaces and currency converters.

8. Mobile App Integration

Having mobile-friendly access or dedicated mobile apps enhances user engagement and accessibility.

Steps in MLM Software Development

1. Requirement Gathering

Understand the business model, compensation structure, and specific operational needs of the MLM company.

2. Plan Selection and Customization

Choose the appropriate MLM plan or a hybrid model based on business goals.

3. Software Architecture Design

Decide on the tech stack (e.g., Laravel, Node.js, React, MySQL) and software architecture—cloud-based or on-premises.

4. Development and Testing

Build the application with modular code, integrate third-party services, and conduct rigorous testing (unit, integration, user acceptance).

5. Deployment and Maintenance

After launching the software, continuous support and updates ensure scalability and bug resolution.

Challenges in MLM Software Development

1. Scalability

Handling thousands or millions of users requires a highly scalable backend system.

2. Data Security

With sensitive financial and personal data, encryption, role-based access control, and secure APIs are mandatory.

3. Regulatory Compliance

MLM is often scrutinized for unethical practices. The software must be developed in accordance with the legal frameworks of various countries.

4. Customization vs. Standardization

Balancing client-specific customization with the need to keep the core product standardized and maintainable is a common challenge.

Technologies Used in MLM Software

Frontend: React, Vue.js, Angular

Backend: Laravel, Node.js, Django

Databases: MySQL, PostgreSQL, MongoDB

Mobile: Flutter, React Native, Swift (iOS), Kotlin (Android)

Hosting: AWS, Google Cloud, Microsoft Azure

Security Tools: SSL, OAuth2, JWT, AES encryption

Benefits of Using MLM Software

Automation of repetitive tasks

Improved accuracy in calculations

Enhanced user experience with mobile/web dashboards

Better scalability with cloud integration

Transparency in transactions and reporting

Future Trends in MLM Software

1. Blockchain Integration

Ensures transparency and decentralization in transactions and commission tracking.

2. AI & Machine Learning

Can be used for lead scoring, network behavior prediction, and performance forecasting.

3. AR/VR for Training

MLM companies are beginning to use immersive technologies for onboarding and training.

4. Gamification

Increases user engagement by incorporating leaderboards, rewards, and levels.

5. Smart Contracts

Automating commissions using Ethereum-based smart contracts is being explored by progressive MLM startups.

Choosing the Right MLM Software Development Company

When selecting a developer or agency:

Check their experience with different compensation plans

Ask for live demos or case studies

Ensure post-deployment support

Verify security protocols

Consider cost versus scalability

Conclusion

MLM software development is at the heart of modern network marketing operations. It transforms the complexities of MLM into manageable, efficient systems that empower businesses to grow, engage users, and stay compliant. As technology continues to evolve, MLM software is becoming smarter, more transparent, and user-friendly—paving the way for the future of ethical and scalable network marketing.

www.mlmgig.com

[avion-technology]

Why Startups Should Go Cloud-First

Startups don’t just compete on product — they compete on speed, scalability, and smarter infrastructure. For emerging businesses, especially in tech-forward hubs like Chicago, the difference between surviving and thriving often comes down to one key strategy: going cloud-first.

In this blog, we explore how a cloud-first approach helps startups scale fast, cut unnecessary costs, boost team productivity, and even win over investors.

What Does “Cloud-First” Really Mean?

Adopting a cloud-first mindset means prioritizing cloud-based platforms, tools, and services across all areas of your startup — from infrastructure and product development to operations and team collaboration.

Rather than investing in traditional on-premises systems, cloud-first startups leverage services like AWS, Azure, Google Cloud, and Oracle Cloud to build scalable, flexible, and affordable tech stacks.

As a result, startups gain access to:

Real-time scalability

Faster go-to-market cycles

Usage-based pricing

Enhanced security and data redundancy

Better remote collaboration and team agility

Why It Matters for Startups in Chicago and Across the USA

Startups based in Chicago and other U.S. cities are increasingly adopting cloud-first to gain a market edge. Here's why:

Scale Without Overhead

Instead of investing thousands into hardware and IT support, cloud-first startups only pay for what they use. This allows them to scale up or down on demand, especially during high-growth phases.

Speed Equals Survival

In fast-paced ecosystems like Chicago’s startup scene, time-to-market can make or break a business. Cloud-native tools enable rapid development, deployment, and iteration, so your MVP launches faster and adapts quickly to user feedback.

Built for the Remote Age

With hybrid and remote work becoming the norm, cloud-first infrastructure enables seamless collaboration across time zones — perfect for startups serving nationwide clients or building distributed teams.

Enterprise-Grade Security, Startup Budget

Top cloud platforms come with built-in encryption, automated backups, and compliance-ready infrastructure, helping you stay secure without hiring a cybersecurity team from day one.

Cloud-First Isn’t Just Tech — It’s a Business Strategy

Moving to the cloud isn't just about convenience. It's a foundational shift that allows you to:

Reduce technical debt

Experiment without fear of sunk cost

Automate workflows

Focus on your product, not your servers

Impress investors with lean, modern operations

Furthermore, cloud-first startups can pivot quickly — from launching a new feature to expanding into a new region — without expensive re-architecture.

Attracting Investors with Cloud-First Architecture

Investors don’t just invest in ideas — they invest in scalability.

By building cloud-first, you show venture capitalists that your startup is:

Agile and tech-forward

Budget-efficient

Positioned for rapid scale

Resilient in the face of technical disruptions

According to recent trends, startups with cloud-native infrastructure raise capital faster and more often, thanks to reduced risk and better operational maturity.

Why Partner with Avion Technology?

Choosing the right cloud partner can make or break your startup's growth trajectory. Here’s why Avion Technology is the ideal fit for startups in Chicago and across the USA:

✅ Deep Technical Expertise

We’ve helped startups and scale-ups deploy scalable, secure, and performance-optimized cloud infrastructure across AWS, Google Cloud, Azure, and Oracle Cloud.

✅ USA-Based with Chicago Roots

We understand the Chicago startup ecosystem and tailor cloud strategies to local and regional business dynamics while supporting national growth.

✅ Fast, Founder-Friendly Support

We work like an extension of your team — lean, agile, and startup-savvy. No tech jargon. Just real results, fast.

✅ Custom Cloud Blueprint

We don’t believe in one-size-fits-all. Get a tailored roadmap aligned with your MVP, investor goals, and product roadmap.

✅ Ongoing Partnership

Beyond deployment, we support you with optimization, cost control, performance tuning, and scaling as your business grows.

❓ Frequently Asked Questions (FAQs)

1. What is “cloud-first” in simple terms?

It means cloud tools and platforms are your default for all operations — from hosting your app to managing files. No in-house servers. Just scalable, remote-ready infrastructure.

2. Is going cloud-first affordable for early-stage startups?

Yes. Cloud services are pay-as-you-go, which keeps your burn rate low. Many providers also offer startup credits and discounts.

3. Which cloud provider is best for startups in Chicago or the USA?

It depends on your needs:

AWS for flexibility and ecosystem

Google Cloud for AI/ML tools

Azure for Microsoft integrations

Oracle Cloud for enterprise-grade scale

Avion Technology helps you select and deploy the best one based on your business goals.

4. Is cloud computing secure for startups?

Absolutely. Major cloud providers use military-grade encryption, access control, and compliance features. When configured properly, cloud setups are more secure than legacy systems.

5. How do I know if my startup is cloud-ready?

If you have a digital product, distributed team, or fast-growth ambitions — you’re ready. Schedule a free cloud-readiness assessment with Avion Technology to find out where you stand.

Build Your Cloud-First Startup with Avion Technology

Your vision deserves the right foundation. At Avion Technology, we help Chicago startups and USA-based innovators transition to cloud-first with clarity and confidence.

Here’s how we can help:

Cloud-Readiness Check Let us evaluate your current setup and show you smarter, scalable cloud options tailored to your growth stage.

Custom Cloud Blueprint We don’t believe in one-size-fits-all. Get a strategy document customized for your startup’s needs, investors, and timeline.

Ongoing Tech Partnership From implementation to optimization, we guide your cloud journey with proven expertise.

Ready to Go Cloud-First?

👉 Book Your Free Cloud Readiness Session

[govindhtech]

Microsoft Magic Quadrant Leads 2023 Gartner Container

Microsoft Magic Quadrant 2023

Kubernetes and containers are the future of application development. They are pleased to announce that Microsoft Magic Quadrant. They feel this validation confirms their end-to-end strategy to designing and delivering enterprise-grade, cloud-native applications on Azure, in datacenters, or at the edge.

According to Gartner, Microsoft Magic Quadrant Leadership emphasizes Azure Kubernetes Service (AKS)’s extensive and deep integration with other Azure services. Customers tell us that adopting AKS for container management lets them upgrade current applications as time and money allow and offers a roadmap for cloud-native development that leverages Azure scalability, security, performance, and cost optimization. Developers use autoscaling AKS clusters to satisfy the toughest performance requirements, while fully managed Azure services save teams time.

Customers want to run containers wherever. AKS is managed by Azure Stack HCI on-premises and Azure Arc for clients on Azure and hybrid settings.

Scaling up requires improving skills

At KubeCon North America 2023 and Microsoft Ignite, they launched Microsoft Copilot for Azure. Developers may use this AI-powered assistant to get answers and work more effectively, including AKS.

At the conferences, several developers said AKS’ integration help made adoption simpler as their firms launch big digital transformation initiatives. Kubernetes manages numerous moving pieces, yet a learning curve exists. Container knowledge is still scarce, according to Gartner.

AKS Principal PM Lead Jorge Palma posted. Companies should not install container management “without deep knowledge of developer requirements,” according to Gartner.

Developers may use Azure and AKS more using Copilot for Azure. Microsoft provides various resources for developers at whatever stage of adoption.

At the blank page stage, solution architectures might provide real-world examples and ideas.

Kubernetes solutions and services in Azure Marketplace provide click-through installations and customizable payment structures.

Inspire yourself by reading how the Forza Horizon 5 development team transitioned services to AKS in a month without Kubernetes experience, resulting in Xbox Games Studio’s largest first week ever.

Choose a Microsoft Learn professional course like Introduction to Kubernetes on Azure or Administer containers on Azure to improve skills.

Review developer best practices to manage deployment.

AKS fueling AI revolution

Often based atop Kubernetes, generative AI is quickly spreading. This revolution of intelligent applications is powered by cloud-native and AI, and AKS is part of it. AKS app developers may use Azure OpenAI Service.

AKS enabled artifact streaming for AI applications’ larger container pictures. Container images may be transmitted to high-performance, on-demand protocol nodes. That accelerates pod scheduling and startup.

AI applications stretch scale, making cost control crucial. Microsoft recently stated that Azure portal teams may see cluster expenses more clearly. AKS’s cost analysis add-on leverages OpenCost to break down cluster infrastructure expenses by cluster and namespace.

AKS also makes running specialized machine learning workloads like large language models (LLMs) cheaper and requiring less human setup. The new Kaito-based AI toolchain operator simplifies hosting and sharing open-source AI models and customized inferencing on AKS clusters. Using the new open-source Karpenter on AKS provider may improve cluster efficiency and expenses.

Microsoft just added Kubernetes fleet support for scaled AKS cluster management. Azure Kubernetes Fleet Manager safely and predictably stages cluster changes.

DevOps drives things

As Gartner notes, “the combination of DevOps and container technology can be a powerful enabler for application development agility and speed, making DevOps skills the critical factor to deployment success.” Quality and consistency in provisioning and management, including continuous integration and deployment, are promoted by DevOps.

However, designing distributed applications remains complicated, therefore the AKS team is looking for methods to simplify it. New smart defaults speed cluster setup, and Draft for AKS simplifies Kubernetes deployment. They introduced Dapr APIs in June 2023 to assist developers build easy, portable, robust, and secure microservices. Azure Pipelines CI/CD automates AKS cluster builds.

Cloud deployment and AI workloads will be simpler for Azure Container Apps developers. A new “code-to-cloud” integrated cloud build productivity lets developers create and execute Azure Container programs programs without container understanding. The new landing zone accelerator is also useful for cloud-native app and microservice creators. GPU workload profiles power compute-intensive applications like model training and batch inferencing.

Protecting all

The use of CSP-native platforms will increase public cloud container instance deployment to 75% by 2026 from 50% in 2023, according to Gartner. At KubeCon and Ignite, IT, operational, and cybersecurity specialists from across the globe discussed cloud security. Microsoft dedicates itself to giving customers the tools and resources to secure everything. That includes container security from development to runtime and across hybrid and multicloud deployments.

They introduced multicloud container security for Microsoft Defender for Cloud at Ignite 2023. Defender cloud security posture management (CSPM) will add agentless scanning, data-aware security posture, cloud security graph, and attack path analysis to Google Cloud Platform (GCP), providing a single contextual view of cloud risks across AWS, Azure, GCP, and hybrid environments.

Security administrators may prioritize misconfigurations and exposures in Amazon Elastic Kubernetes Service and Google Kubernetes Engine clusters by having improved insight into containerized workloads.

The Microsoft Security blog provides professional security coverage, while the AKS documentation discusses application and cluster security principles.

Used with permission, Gartner and Microsoft Magic Quadrant are registered trademarks and service marks of Gartner, Inc. and/or its affiliates in the U.S. and elsewhere.

This image should be seen in the context of Gartner, Inc.’s research publication. You may obtain the Gartner report here.

Gartner does not recommend technology users choose providers with the highest ratings or other designations shown in its research papers. Gartner research articles are an organization’s views, not facts. This study is provided without warranty of merchantability or suitability for a specific purpose by Gartner.

Read more on Govindhtech.com

[bytehealthy1]

Hybrid Cloud and Azure Stack-an opportunity for partnering

What is Hybrid Cloud?

Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms. By allowing workloads to move between private and public clouds as computing needs and costs change, hybrid cloud gives businesses greater flexibility and more data deployment options.

What is the Azure stack?

Azure Stack is a hybrid cloud computing software solution developed by Microsoft based on the company's Azure cloud platform. Azure Stack is designed to help organizations deliver Azure services from their own data centre.

“Creating Value with Hybrid Cloud”

Hybrid cloud environments are fast becoming the norm for businesses of all sizes due to the benefits that they offer. We are all aware of the definition of hybrid cloud: a combination of a private cloud combined with the use of public cloud services, where one or several touch points exist between the environments. The goal is to combine services and data from a variety of cloud models to create a unified, automated, and well-managed computing environment.

Importantly, a hybrid cloud is an environment where the private and public services are used together to create value and the partnering with hosting providers, resellers and SIs is the key to success in this complex arena.

Making the Case for Hybrid Cloud

With the launch of Azure Stack into the market, Microsoft is changing the cloud landscape. But what does this mean for your business? Firstly, here’s a reminder of the wider benefits of hybrid cloud:

The benefits of a hybrid cloud deployment

Ability to leverage existing infrastructure

Getting real value with the right technology

More flexibility and greater choice

Greater control and minimisation of shadow IT

Enhanced predictability and reliability

Billing and cost

Secondly, how do you sell the idea of hybrid cloud to your team, C-level and the board?

Hybrid Cloud According to Azure Stack

Azure Stack is Microsoft’s new hybrid cloud platform that will allow organisations to deliver Azure services from their own data centres in a way that is consistent with public Azure. In a nutshell, Azure Stack allows users to bring the Azure cloud model down to the data centre.

Azure Stack provides users with a seamless, single development and delivery platform. Services can be developed in public Azure and seamlessly moved over to Azure Stack — and vice versa, saving time, expense and making operations a lot more consistent.

Instead of managing multiple clouds through multiple platforms, you can now manage all of your clouds through one consistent Azure platform from on-premises, hosted infrastructure in a third-party data centre, all the way out to the public cloud.

According to Microsoft:

"A hybrid cloud is a computing environment that combines a public cloud and a private cloud by allowing data and applications to be shared between them. When computing and processing demand fluctuates, hybrid cloud computing gives businesses the ability to seamlessly scale their on-premises infrastructure up to the public cloud to handle any overflow, without giving third-party data centres access to the entirety of their data. Organisations gain the flexibility and computing power of the public cloud for basic and non-sensitive computing tasks, while keeping business-critical applications and data on premises, safely behind a company firewall."

Use Case: Private Cloud Environment

Hosting within a private cloud with a subset of the same capabilities as the Microsoft Azure Public Cloud ensures consistent development and deployment mechanisms regardless of the final location of the workload or service.

Use Case: Modern Hybrid Applications

Azure Stack enables the use of a modern architecture to on-premises applications not yet ready for the cloud. It can then deliver the move to Public Azure without code changes, using a consistent programming model with the associated skills and processes being maintained.

Use Case: Edge and Disconnected Solutions

Where connectivity issues occur as a result of geographic isolation, or where hybrid integration requires very high bandwidths and low latency, Azure Stack’s location means that a local, real-time performance model managing large data volumes can be easily undertaken.

For the aggregation of analytics and big data modelling, edge and disconnected solutions can address latency and connectivity requirements by processing data locally in Azure Stack and then aggregating the resulting datasets within the Public Azure for further analytics, with the common application logic applied across both environments.

Use Case: Hybrid Cloud

Creating hybrid cloud solutions, based on the same Azure architecture, means that the Azure Stack component of the hybrid architecture provides a location for workloads that can’t reside in the public cloud, but integrates seamlessly with the Azure Public cloud for all components that can be located there.

This allows a selective approach for any component, but through the consistent deployment and management models, removes the need to re-architect solutions dependent on location.

Use Case: Application Modernisation

Standardisation and modernisation of applications with Azure Stack allows rollout for Azure Public or retention in house using a consistent, future-proofed DevOps model allowing agile development. Essentially what this means is you’ll have a “write once, deploy anywhere” capability.

Use Case: Public Cloud Proof of Concept

Making use of Azure in a private environment using Azure Stack before a formal public cloud migration of solution components will remove the need for having to re-architect for that migration. Azure Stack’s operating model is identical to that of Public Azure, which assures the in-house development model for public operation, and also allows seamless updates when they occur over time.

Use Case: Bi-directional Development

Bi-directional development allows you to develop in Azure Cloud and use the same templates to deploy known models into a disconnected platform; alternatively, you can use Azure Stack for local development, which allows templated solutions to be rolled out to public Azure.

Use Case: Exit Strategy Insurance

While the direction of travel is typically towards a public model, there is a further benefit through Azure Stack providing a target architecture where public Azure may not be an appropriate solution any longer. Migration of public applications back to the private cloud will not require application re-architecting. In essence, as regulatory requirements change, the agility provided through this hybrid model protects businesses from the unknown.

Making the business case for Azure Stack

As with any technology, there will be challenges and barriers to adoption. When it comes to Azure Stack, there are definite benefits for both IT teams and the business as a whole, such as cost savings, increased efficiency and better consistency. The use cases that follow demonstrate the value this new hybrid cloud platform can bring to your organisation from a commercial point of view.

Use Case: Fully Integrated and Consistent Automation, Orchestration and Monitoring

From a management perspective, the use of a common platform across all delivery models drives significant deployment and management efficiencies — one consistent toolset ensures consistent behaviour irrespective of operating location and allows an aggregated single view of both on-premises and public cloud metrics. Furthermore, commercial value is derived from the in-built tool

Use Case: Compliance and Regulation

You can develop and deploy a single global application, then migrate to Azure Stack and/or Azure to meet regulatory or customer preferences with no changes to the application. Where additional regulatory standards are mandated, the addition of bespoke or specialist technical controls for enhanced security may be deployed within the datacenter at the edge of the Azure Stack environment to assure full compliance.

Use Case: CAPEX Development and Test Environment

Using the 'lower cost' single-node approach with the Azure Stack Developer edition you can provide the development team with an environment in which they can code and test prior to deployment to the public cloud (or private, or hybrid) without having to re-architect. The additional benefit is that the same operating model applies whether in Stack or public versions of Azure.

Use Case: No Upfront Licensing Fees

There are no upfront license fees for using Azure Stack. In the same way that Public Azure is billed on an as-consumed basis, Azure Stack also adopts the model of paying only for the resources actually used. It is important to note that there are only two options in respect of Azure Stack; Enterprise Agreement (EA) and Cloud Solution Provider (CSP) agreements.

Enterprise Agreement -

Azure Stack counts against existing monetary commitments and enables you to use the same subscription, with the consumption on Azure Stack shown on the same invoice as current Azure consumption. EA is the only option for offline/disconnected scenarios — since CSP requires live updates from the usage dashboard inside Azure Stack. Adding to that, due to the nature of EA, this model is only available for single-tenant usage, so service providers shared platforms will need to use the CSP-agreement to report consumption.

Cloud Solution Provider -

If you do not have your own EA, and still want to use Azure Stack (or azure) you can do so by working with a MS CSP partner. Microsoft Azure Stack is pre-installed on hardware and hosted on-premises or from a hosting provider's infrastructure, allowing you to extend Azure to your own environment — no longer connecting different types of cloud (‘multi-cloud’), but working from one consistent platform that offers you both on-premises as well as cloud options. Azure Stack therefore delivers all types of cloud efficiencies, like pay-as-you-use pricing and easy scalability, to your familiar IT environment. An azure Stack "True Hybrid Solution" built on Microsoft Azure Stack makes it possible for any business to benefit from Azure by bringing cloud to its own premises.

Conclusion

It’s becoming clear that hybrid cloud is the future operating model for businesses the world over. Azure Stack provides that “missing link” in the hybrid IT chain, enabling a fully integrated hybrid model, but without the inconsistency of differing development, operating and management models that current hybrid environments suffer from. While Azure Stack isn’t necessarily a panacea, for those organisations in need of its benefits, it will become the cornerstone of integrated, hybrid IT operations sets through the retirement of historically costly in-house heterogeneous solutions — both from a capital and management perspective. This enhances the total cost of ownership (TCO) equation.

[ustunealindigininaltindamikaldin]

Latest Cloud Data Platform Opportunities in 2021

There is a wide assortment of business organizations, who can make the right use of the hybrid cloud computing system, which helps keep up-keeping the production and workflow. According to different specialists, by the end part of 2021, different companies are going to opt for hybrid cloud computing. 

Hybrid cloud computing will confer various benefits such as improved security, unprecedented control and improved speed. Cloud computing contributes to being an integral part of the information environment. It makes a substantial difference in the lives of the potential audience. 

It boasts of collaboration capacities which help in typifying the big Data landscape shifting's remote interactivity, at the edge. Besides this, cloud computing supports the world's economy, remote workforces and supply chains across the globe during the latest pandemic.

It is considered crucial for different business enterprises, which are looking for cost-effectiveness, business continuity, and enhanced scalability. The latest cloud data centers control the workloads across the globe. In this write-up, you can seek information about the most updated cloud Data platform opportunities in the year 2021:

Bluring of the line between data warehouses and data lakes

The combination of data warehouses and data lake solutions is considered to be a significant trend in the year 2021. Databricks introduce the Delta Lake product, which is considered the fully-featured data warehouse developed on Big Data stack. Besides this, Microsoft Azure come up with Azure Synapse, which brings Data Warehousing and Big Data under one brand. Also, the market is evolving towards Data lakehouse. It is considered as an architecture, which is known to be the best of the semi-structured and structured world.

Storage formats, present in a data warehouse, are known to be specific towards the Data Warehouse. At the data Warehouse, they are known to be tied to compute power. Hence, the customer can choose the place for data storage, following the use case. Data lakehouse offers a helping hand in tackling the issue. It is possible for the business organization employees to access the data, present in the architecture, to develop new visualizations and develop new data transformations.

Besides this, it helps to power the Artificial Intelligence and Business Intelligence. It also offers assistance to the advanced users to execute deep machine learning upon the prepped data. Majority of the work lies in the preparation of data. In addition to this, the data lakehouse plays an integral role in making the process more efficient.

It will help if you keep in mind that the architectural paradigms simplify and shift over the due course of time. They need lesser efforts for maintenance. Hence, it involves fewer costs for implementation. The new approach makes the process of time to value faster.

Hybrid cloud

There is a wide assortment of business organizations, who can make the right use of the hybrid cloud computing system, which helps keep up-keeping the production and workflow. According to different specialists, by the end part of 2021, different companies are going to opt for hybrid cloud computing. Hybrid cloud computing will confer various benefits such as improved security, unprecedented control and improved speed.

FaaS Cloud Implementation

FaaS also referred to as Function as a Service contributes to being an integral portion of the cloud computing service. It is known to underpine the engineer, by using the code usage, as you try to maintain the strategic distance from complicated infrastructure adoption.

FaaS contributes to being a vital part of serverless computing. It is known to be centered around the API, storage, gateways and different competitions. It provides permission to the software developer in saving an ample amount of time on the coding. There are scopes of generating confounded codes by using FaaS quicker.

Hyper-Scale Data Centers

Instant consumption, during the digital age, drives the business organizations in working at the optimum speed. They require the IT frameworks to confer services at a pace, faster than the customary framework. Similarly, they require IT infrastructure, which will scale more quickly to the provision of faster demand. This need for the business within the digital age enhances the market for different hyper-scale data centers. It helps in scaling faster and dramatically for reacting to the heavy demand progressively.

Disaster recovery solutions

The downtime expense is expanding faster as the enhanced number of companies are opting the digital path. According to Gartner, the average cost of IT downtime is about $5600 in each minute. The downtime of the eCommerce business organization indicates immense opportunities for sales. Business enterprises which are working under the specific guidelines help in handling the customer data with tremendous care.

Combined services of Cloud Computing, Big Data, and Internet of Things

According to studies, there will be significant improvements in the year of 2021 as it will be combined with the Internet of Things and Big Data. Internet of Things and Big Data are going to be ongoing advances. There are only a few companies that will run on the help. Besides this, Big Data offers the data, which are recognized with the specific enterprise, once it is analyzed and processed.

Internet of Things is the place in which the physical devices will be present in the legitimate interconnection. As cloud computing is combined with Internet Of Things and Big Data, it is useful to the business organization in boosting the production. The business enterprise will seek admission to the vital rival information, thereby exerting the exertion into the settling of improved business choices.

Cloud platforms will create automated cloud optimization and orchestration as it has the multifaced nature of viewing the quantity and quality of different interconnected services across separate application overpowers. Performance management and automated service is one of the crucial parts of choosing a cloud service provider. There are risks that the business enterprise has to deal with a plethora of services from a singular cloud service provider.

Summary

Suppose you are planning to reap the benefits of the data Lakehouse. In that case, you should make sure that different supporting cloud data solutions, such as data governance tools, data clogging, ETL/ELT, are chosen thoughtfully. If you want to enhance the cloud investments, you should ensure to separate the computer from the storage to boost productivity.

You should make sure to select the neutral ETL orchestration platforms which help in preventing the technology lock-in. Cloud investments are known to enforce different healthy transformation practices that help achieve optimum results in different architecture patterns.

[certaintacodonut]

Global Hyper-Converged Infrastructure Market Growth trends 2022 To 2028 Market Report

the global hyper-converged infrastructure market was estimated to be worth USD 5.88 billion In 2021. During the projection period 2021-2028, the market is expected to grow at a CAGR of 24.9 percent, from USD 6.79 billion in 2021 to USD 32.19 billion in 2028. In its recent research study, "Hyper-Converged Infrastructure Market, 2022-2028," Zion Market Research delves deep into these findings.

According to a study, the need for data centre modernization would be fueled by hyper-converged infrastructure (HCI) solutions. The solution is anticipated to be in demand in order to increase cost savings and operational efficiencies. Notably, the trend of desktop virtualization has accelerated as a result of the COVID-19 pandemic's interruptions. Disaster recovery and data security are expected to boost the industry's growth, according to stakeholders.

Access Full Report here : https://www.zionmarketresearch.com/report/hyper-converged-infrastructure-market

Impact of COVID-19

Market Growth to be Disrupted by Fluctuating Demand for HCI Solutions

The COVID-19 outbreak had a significant influence on supply chain management, causing major disruptions in the import and export of hardware solutions. Meanwhile, end-users have shown a strong interest in HCI software solutions. According to the Environmental, Social, and Governance (ESG) Research Global Survey, around 87 percent of IT managers have selected the HCI solution to increase agility by 25% by 2020. In addition, Microsoft Corporation launched the Azure Stack HCI solution in India to support its hybrid cloud portfolio.

Coverage of the Report

The study is based on both qualitative and quantitative evaluations. The paper also examines top-down and bottom-up methodologies to forecasting market size, revenues, and growth of the landscape's major participants. The use of primary sources, such as interviews with major thought leaders, has improved trend dynamics and insights. Secondary sources included in the research include SEC filings, press releases, annual reports, and paid databases.

Restraints and Drivers

Disaster Recovery and Data Security are on the rise as a way to boost growth prospects.

Participants in the industry are likely to invest in robust HCI services, such as disaster recovery and data security. According to IBM, the total average cost of a data security breach in 2020 was USD 3.86 million per breach. To reduce the danger of data security breaches, businesses are more likely to go for hyper-converged solutions and services. Furthermore, the solution has become more popular as a way to improve performance while lowering OPEX. Stakeholders anticipate that a high-security AMD processor suite will acquire traction across the globe, boosting the hyper-converged infrastructure business.

Stakeholders, on the other hand, are likely to face significant power requirements and compatibility concerns. The occurrence of multiple workloads in a small location may force leading organisations to reconsider their strategies.

The hyper-converged infrastructure market is segmented in this report to forecast revenues and evaluate trends in each of the following segments:

By product Type

● Cloud-based ● On-premises

By Application

● Manufacturing ● Retail ● Financial ● Government ● Others

Companies profiled in the global Hyper-Converged Infrastructure Market Dell Technologies (Texas, U.S.), VMware Inc. (California, U.S.), Nutanix Inc. (California, U.S.), Cisco Systems Inc. (California, U.S.), Hewlett Packard Enterprise Company (Texas, U.S.), StorMagic (Bristol, U.K.), Huawei Technologies Co., Ltd (Shenzhen, China), IBM Corporation (New York, U.S.), Microsoft Corporation (Washington, U.S.), Scale Computing (Indiana, U.S.)

Regional Perspectives

With the presence of major players, North America will emerge as a lucrative hub.

In the wake of surging investments across HCI applications, the North American hyper-converged infrastructure market share will see a respectable increase. Furthermore, the presence of major companies such as IBM Corporation, Cisco Systems Inc., Dell Technologies, and Microsoft Corporation would help the region thrive. The North American industry was worth roughly USD 2.70 billion in 2020, and it will continue to expand as demand from the government and healthcare sectors increases.

Trends in the Industry

• In October of 2020, Nutanix, Inc. has released enhanced HCI software to help accelerate cloud and data centre innovation.

• StorMagic teamed up with Hivecell to introduce Hivecell HCI with StorMagic SvSAN in June 2021, addressing security and storage issues.

Read more at : https://www.zionmarketresearch.com/news/hyper-converged-infrastructure-market

About Us :

Zion Market Research is an obligated company. We create futuristic, cutting edge, informative reports ranging from industry reports, company reports to country reports. We provide our clients not only with market statistics unveiled by avowed private publishers and public organizations but also with vogue and newest industry reports along with pre-eminent and niche company profiles. Our database of market research reports comprises a wide variety of reports from cardinal industries. Our database is been updated constantly in order to fulfill our clients with prompt and direct online access to our database.

[certmagic-itcertification]

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[perfectirishgifts]

AWS Responds To Anthos And Azure Arc With Amazon EKS Anywhere

New Post has been published on https://perfectirishgifts.com/aws-responds-to-anthos-and-azure-arc-with-amazon-eks-anywhere/

AWS Responds To Anthos And Azure Arc With Amazon EKS Anywhere

Amazon made strategic announcements related to container services at the re:Invent 2020 virtual event. Here is an attempt to deconstruct the container strategy of AWS.

Containers

Amazon EKS Distribution – An Alternative to Commercial Kubernetes Distributions

The cloud native ecosystem is crowded and even fragmented with various distributions of Kubernetes. Customers can choose from upstream Kubernetes distribution available for free or choose a commercial offering such as Charmed Kubernetes from Canonical, Mirantis Container Cloud, Rancher Kubernetes Engine, Red Hat OpenShift and VMware Tanzu Kubernetes Grid. 

Amazon has decided to jump the Kubernetes distribution bandwagon with Amazon EKS Distribution (EKS-D), which powers the managed EKS in the cloud. Customers can rely on the same versions of Kubernetes and its dependencies deployed by Amazon EKS, which includes the latest upstream updates and comprehensive security patching support. 

Amazon EKS-D comes with source code, open source tooling, binaries and container images, and the required configuration via GitHub and S3 storage locations. With EKS- D, Amazon promises extended support for Kubernetes versions after community support expires, providing updated builds of previous versions, including the latest security patches.

Why Did Amazon Launch EKS-D?

Customers running OpenShift or VMware Tanzu are more likely to run the same flavor of Kubernetes in the cloud. Most of the commercial Kubernetes distributions come with services and support for managing hybrid clusters. In this case, ISVs like Red Hat and VMware will leverage Amazon EC2 to run their managed Kubernetes offering. They decouple the underlying infrastructure (AWS) from the workloads, making it possible to port applications to any cloud. 

Amazon’s ultimate goal is to drive the adoption of its cloud platform. With EKS-D, AWS  has built an open source bridge to its managed Kubernetes platform, EKS. 

Backed by Amazon’s experience and the promise to maintain the distribution even after the community maintenance window expires, it’s a compelling option for customers. An enterprise running EKS-D will naturally use Amazon EKS for its hybrid workloads. This reduces the friction between using a different Kubernetes distribution for on-prem and cloud-based environments. Since it’s free, customers are more likely to evaluate it before considering OpenShift or Tanzu. 

Additionally, Amazon can now claim that it made significant investments in open source by committing to maintain EKS-D.

The design of EKS-D, which is based on upstream Kubernetes, makes it easy to modify the components such as the storage, network, security, and observability. The cloud native ecosystem will eventually build reference architectures for using EKS-D with their tools and components. This makes EKS-D better than any other distribution available in the market. 

In summary, EKS-D is an investment from Amazon to reduce the friction involved in adopting AWS when using a commercial Kubernetes distribution. 

EKS Anywhere – Amazon’s Response to Anthos and Azure Arc

According to AWS, Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables customers to easily create and operate Kubernetes clusters on-premises, including on their own virtual machines (VMs) and bare metal servers. 

EKS Anywhere provides an installable software package for building and managing Kubernetes clusters on-premises and automation tooling for cluster lifecycle support.

EKS-A can be technically installed on any infrastructure with available compute, storage, and network resources. This includes on-premises and cloud IaaS such as Google Compute Engine and Azure VMs. 

Simply put, Amazon EKS Anywhere is an installer for EKS-D with AWS specific parameters and options. The installer comes with the defaults that are optimized for AWS. It works best on Amazon Linux 2 OS and tightly integrated with App Mesh for service mesh, CloudWatch for observability and S3 for cluster backup. When installed in a VMware environment, it even provides infrastructure management through the integration with vSphere APIs and vCenter. EKS-A relies on GitOps to maintain the desired state of cluster and workloads. Customers can subscribe to an Amazon SNS channel to automatically get updates on patches and releases. 

Amazon calls EKS-A an opinionated Kubernetes environment. The keyword here is opinionated, which translates to as proprietary as it can get. From container runtime to the CNI plug-in to cluster monitoring, it has a strong dependence on AWS building blocks.

There is nothing open source about EKS-A. It’s an opaque installer that rolls out an EKS-like cluster on a set of compute nodes. If you want to customize the cluster components, switch to EKS-D, and assemble your own stack. 

EKS-A supports three profiles – fully connected, semi-connected and fully disconnected. Unlike ECS Anywhere, EKS-A clusters can be deployed in offline, air-gapped environments. Fully connected and semi-connected EKS-A clusters talk to AWS cloud but have no strict dependency on the cloud. 

EKS-A is Amazon’s own version of Anthos. Just like Anthos, it’s tightly integrated with vSphere, can be installed on bare metal or any other cloud. But the key difference is that there is no meta control plane to manage all the EKS-A clusters from a single pane of glass. All other capabilities such as Anthos Service Mesh (ASM) and Anthos Config Management (ACM) will be extended to EKS-A through App Mesh and Flux. 

Unlike Anthos, EKS-A doesn’t have the concept of admin clusters and user clusters. What it means is that customers cannot use EKS-A for the centralized lifecycle management of clusters. Every EKS-A cluster is independent of others with optional connectivity to the AWS cloud. This topology closely resembles the stand-alone mode of Anthos on bare metal. 

EKS-A will eventually become the de facto compute environment for AWS Edge devices such as Snowball. Similar to K3s, Amazon may even plan to launch an EKS Anywhere Mini to target single node installations of Kubernetes for the edge. It may have tight integration with AWS Greengrass, the software for edge devices. 

EKS-A is the first, real multi-cloud software coming from AWS. If you are not concerned about the lock-in it brings, EKS-A dramatically simplifies deploying and managing Kubernetes. It brings AWS a step closer to multi-cloud platforms such as Anthos, Azure Arc, Rancher, Tanzu Mission Control and Red Hat Advanced Cluster Manager for Kubernetes. 

EKS Console – The Meta Control Plane for Kubernetes in the Making

Though EKS-A comes across as a proprietary installer for EKS, it goes beyond that. Combined with a new addition called EKS Console, multiple EKS-A clusters can be managed from the familiar AWS Console. Of course, the EKS Console will provide visibility into all the managed clusters running in AWS.

EKS-A clusters running in fully-connected and semi-connected modes can be centrally managed from the EKS Console. AWS may open up the ability to attach non-EKS clusters to the EKS console by running an agent in the target cluster. This brings the ability to apply policies and roll out deployments from a single window. 

When Amazon connects the dots between the EKS Console and EKS-A, it will deliver what Azure Arc promises – a single pane of glass to manage registered Kubernetes clusters. Extending this, EKS Console may even spawn new clusters as long as it can talk to the remote infrastructure, which will resemble Anthos. You see the obvious direction in which Amazon is heading!

The investments in ECS Anywhere, EKS Distribution, EKS Anywhere and EKS Console play a significant role in Amazon’s container strategy. They lay a strong foundation for future hybrid cloud and multi-cloud services expected from AWS.

From Cloud in Perfectirishgifts

[globalknowledgetechnologies]

A Beginner’s Guide to Cloud Computing

Remember the days when we used to store data in floppy disks? The present day is different-with the advent of cloud, storage and access of data is no more an arduous task. Whether it is big corporations or individuals, everyone is leveraging the power of Cloud.

The impact of Cloud Computing is so high that, Forbes in its Cloud Computing Forecasts projected it will witness an increase to $162B in 2020 from $67B in 2015attaining a compound annual growth rate (CAGR) of 19%.

What is Cloud Computing?

It was not very long ago when people had to maintain a pile of physical documents which if lost or misplaced could cost a great deal. Cloud Computing has transformed how the internet was used completely-enabling storing data in a centralized location which can be accessed from computer and mobile device anytime anywhere. Whether it is pictures, important data, now with the access of cloud, sharing files has never been so easy. To sum up, Cloud literally acts as a virtual drive or maybe more than that.

Cloud Computing Service Models

Cloud services are based and categorized on three service models, namely- Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).

IaaS in cloud computing: The first layer of Cloud, IaaS or Infrastructure as a Service involves delivering cloud computing infrastructure where third party providers such as Amazon Web Services, Microsoft Azure or Google, hosts virtualized computing resources over the Internet. Here customers can pay as per their use which enormously eliminates the expenditure goes on deploying in-house hardware and software.

PaaS in cloud computing: Platform as a service (PaaS)- the second cloud layer is a cloud computing model that enables delivering applications over the internet where a developer can easily create, run, test and manage the applications over cloud. In a PaaS model, a cloud provider can accommodate the software and hardware on its own infrastructure without having to worry about consuming IT infrastructure activities such as provisioning servers, backup, and storage. Few PaaS examples are Microsoft Azure, Google Apps Engine and AWS Elastic Beanstalk.

SaaS in cloud computing: SaaS or Software as a service is the third layer, which is also popularly known as ‘on-demand software’, it is a software distribution model where applications can be hosted centrally on the cloud server and can be accessed directly without downloading or installing. Customer Relationship Management, Human Resource Solutions, Billing and Invoice System are some of the examples of SaaS applications.

Deployment Models in Cloud Computing

Private Cloud: Provides its services exclusively to a single enterprise or institution. In Private Cloud model the cloud infrastructure can be tracked only by the cloud provider or the user.

Public Cloud: In the Public Cloud model, the services and infrastructure remain open to use for the general public. While the users have no control over the location of the infrastructure, they can access the services over a public network such as the internet.

Hybrid Cloud: This Cloud model is basically the amalgamation of both Public Cloud and Private Cloud infrastructure where the particular enterprise or institution using it can benefit in the aspect of attaining scalability, flexibility, and security.

Top Cloud Providers

The popularity of Cloud is not only among businesses but also general users that stimulated number of companies to provide cloud services in the recent years. Today there are numerous cloud providers; however, there are handful of them who are leading in the cloud market.

Google Cloud Platform:

One of the most trusted and used Cloud Services, Google Cloud Platform offers public cloud computing services that ensure effective solutions for storage, analytics, Big Data, Machine Learning, and application development needs.

Comprehending the growing popularity of GCP, there is more demand for professionals who will be able to work in a cloud-first work ecosystem. If you are considering a career in GCP, you can get certified and start an outstanding career.

IBM Cloud Services:

IBM’s Cloud Services enables developing, managing and running applications where mobile and web developers can very conveniently fabricate existing services from IBM or third-party providers. IBM cloud includes IaaS, PaaS, SaaS offering through all three delivery models of cloud- public, private and hybrid cloud.

To earn a flourishing career in IBM Cloud, one has to enroll in quality IBM Training and obtain Certification which will validate their skills and knowledge.

Amazon Web Services:

Commenced providing its services in 2006, Amazon Web Services (AWS)stands out in the cloud industry by offering highly scalable, low-cost infrastructure and a reliable platform that empowers a myriad of businesses across 190 countries worldwide.

Microsoft Azure:

Boasts of matchless hybrid cloud capabilities along with secure and reliable service, Microsoft Azure provides software as a service and platform as a service. It equips the flexibility to assemble, manage and deploy applications on a globalized network. As per reports, MS Azure is being utilized by over 57% of Fortune 500 companies and prides on receiving official accreditation from the UK government.

Aspire to land-up a great Cloud Computing Career? Take up a Certification in Microsoft Azure now and see your career booming.

Why take Cloud Computing Certification?

Not one, we shall give you six valid reasons for why you need to consider a career in Cloud Computing and earn a Certification.

Indeed’s search revealed that there are around 25,000 unfilled positions in the U.S. that are relevant to AWS alone.

According to the predictions by International Data Corporation IDC that the spending on public cloud services and infrastructure is projected to exceed $277 billion by 2021 in an annual growth rate (CAGR) of 21.9 percent.

There is a rise of 33% in employers expressing interest in cloud computing skills.

By 2022, the overall development in IT spending on cloud-based offerings will be faster compared to the traditional (non-cloud) IT offerings- that will make cloud computing count as one of the most disruptive forces in the IT landscape.

For Cloud Engineers in India, the average salary as of 2019 is INR 12, 01,527 according to Glassdoor.

There are several dignified positions open for professionals with cloud computing skills, ranging from Cloud engineer to Software architect and Full stack developer to Development operations engineer, to name a few.

Whether you are craving to get an entry to the cloud computing domain or are in search for enhancing your cloud computing career, which is counted as one of the most demandable IT courses, get yourself enrolled today, because its worth your time and investment!

[nesnoida]

Continue your VMware NSX Training Online during COVID-19

If you ever wanted to learn about VMware NSX training online and don't know how to start then this is a place for you. Or already an NSX use wanted to improve your skills? This is a great source to become an NSX expert.

Introduction to VMware NSX Networking and Security Portfolio

It is a network visualization and security platform offers rich, full stack networking services such as routing, switching, loading, and firewall connect, protect, automate and manage workload across public, private and hybrid cloud environment as well as branch and cloud environments.

The VMware NSX training online portfolios consist of a complete set of networking and security offerings designed to address customer use cases supporting workloads based on virtual (VMs), Containers, and bare metal.

Components of NSX Portfolio

1. The data center is the flagship NSX platform designed to connect and protect the workload in and across data center environments.

2. The cloud extends the networking and security capabilities of NSX to workloads running natively in public clouds such as AWS and Azure.

3. The load balancer provides multi-cloud load balancing, web application firewall, and application analytics across on-premises data centers or any cloud.

4. The distributed IDS/IPS is a fully distributed software intrusion detection and preventive solution to easily achieve compliance create virtual security zones and detect lateral threat movement on network traffic,

5. Tanzu Service mesh built with VMware NSX, using the open istio as a foundation, provides application-level visibility, control, and security for enterprise microservices

One- Stop for VMware Training in Noida

With over 10 years of Experience, NET Experts Solutions is the most preferred VMware NSX Training in Noida among the students. Along with theoretical classes we focus on imparting practical knowledge to the students so that they are ready to start a career as VMware NSX professional as soon as the course completes. Apart there are various reasons which make Net experts a unique Institute in Noida than others. The following shows you the same:

1. Well Experienced and qualified Trainers-  We have a proper team of well experienced and certified trainers each having more than 5 years of industry expertise. We have fully equipped labs for imparting practical-based learning.

2. 24*7 lab solution and assistance-  Apart from training NET expert solutions give it students lab solutions and anytime assistance for students. 

3. Online Training- We provide one of the best online training in Noida and schedules according to their preferred timings.

4. Job-Oriented Training- We provide job oriented industrial training facilities. after successful completion of training, we help students to get their dream jobs.

Connect with us today to know more info@nexpertsolutions.com

[xnewsio-blog]

Blockchain Database Technology Provider, FlureeDB Unveiled its Global Partner Program for ISVs, SIs, and VARs

The startup is based out of North Carolina; it provides a blockchain-based data platform for web3 innovation. The Fluree Partner Network makes investment more in partner enablement resources to build and deliver web3 applications. The vice president of FlureeDB of global partners is Buck Flannigan. He said the market for FlureeDB’s technology is opening fresh opportunities for partners. “ISVs are delivering products for enterprises on a modern web3 stack, requiring a congruent data management platform,” he said. “Consultants and SIs are increasingly finding a data-centric architecture delivers the agility and transparency their clients require. Forward-looking VARs are always seeking fast-growing sectors to add to their solution portfolio.” The blockchain technology provider focused on certain partner types to maximize enablement, said Flannigan. “A recent Wipro survey found 75% of executives now look at blockchain as a strategic priority in 2020,” Flannigan said. “At the same time, we must dismantle the barriers to adoption for blockchain in new or existing systems, which remains the top-reported issue, according to Deloitte. This … represents a golden opportunity for our partners to go to market with data-centric blockchain solutions powered by Fluree.”

Fluree DB has expanded to markets like Africa and Asia.

“ISVs delivering applications gain flexibility with embedded/OEM subscriptions, which fit their deployment model and business model,” Flannigan said. “Resources are available for ISVs whose product offering is at any stage of their web3 journey.” Microsoft Azure and AWS, Google Cloud Platform support FlureeDB. A varied group of startup and established ISVs, SIs and VARs are part of the program. “At Zeeve, we value good technology above all else in a strategic partnership,” said Ravi Chamria, CEO of Zeeve, an ISV partner. “The Fluree team has built a web3 enterprise platform that pushes the boundaries of secure and scalable data management.” Ezbitex global: A Hybrid Cryptocurrency Exchange And Payment Solution Provider! https://ezbitex.global/ Purchase digital currencies through Cerberex Exchange https://www.cerberex.exchange/ Read the full article

[un-enfant-immature]

OpsRamp raises $37.5M for its hybrid IT operations platform

OpsRamp, a service that helps IT teams discover, monitor, manage and — maybe most importantly — automate their hybrid environments, today announced that it has closed a $37.5 million funding round led by Morgan Stanley Expansion Capital, with participation from existing investor Sapphire Ventures and new investor Hewlett Packard Enterprise.

OpsRamp last raised funding in 2017, when Sapphire led its $20 million Series A round.

At the core of OpsRamp’s services is its AIOps platform. Using machine learning and other techniques, this service aims to help IT teams manage increasingly complex infrastructure deployments, provide intelligent alerting, and eventually automate more of their tasks. The company’s overall product portfolio also includes tools for cloud monitoring and incident management.

The company says its annual recurrent revenue increased by 300 percent in 2019 (though we obviously don’t know what number it started 2019 with). In total, OpsRamp says it now has 1,400 customers on its platform and alliances with AWS, ServiceNow, Google Cloud Platform and Microsoft Azure.

OpsRamp co-founder and CEO Varma Kunaparaju

According to OpsRamp co-founder and CEO Varma Kunaparaju, most of the company’s customers are mid to large enterprises. “These IT teams have large, complex, hybrid IT environments and need help to simplify and consolidate an incredibly fragmented, distributed and overwhelming technology and infrastructure stack,” he said. “The company is also seeing success in the ability of our partners to help us reach global enterprises and Fortune 5000 customers.”

Kunaparaju told me that the company plans to use the new funding to expand its go-to-market efforts and product offerings. “The company will be using the money in a few different areas, including expanding our go-to-market motion and new pursuits in EMEA and APAC, in addition to expanding our North American presence,” he said. “We’ll also be doubling-down on product development on a variety of fronts.”

Given that hybrid clouds only increase the workload for IT organizations and introduce additional tools, it’s maybe no surprise that investors are now interested in companies that offer services that rein in this complexity. If anything, we’ll likely see more deals like this one in the coming months.

“As more of our customers transition to hybrid infrastructure, we find the OpsRamp platform to be a differentiated IT operations management offering that aligns well with the core strategies of HPE,” said Paul Glaser, Vice President and Head of Hewlett Packard Pathfinder. “With OpsRamp’s product vision and customer traction, we felt it was the right time to invest in the growth and scale of their business.”

[magzoso-tech]

New Post has been published on https://magzoso.com/tech/opsramp-raises-37-5m-for-its-hybrid-it-operations-platform/

OpsRamp raises $37.5M for its hybrid IT operations platform

OpsRamp, a service that helps IT teams discover, monitor, manage and — maybe most importantly — automate their hybrid environments, today announced that it has closed a $37.5 million funding round led by Morgan Stanley Expansion Capital, with participation from existing investor Sapphire Ventures and new investor Hewlett Packard Enterprise.

OpsRamp last raised funding in 2017, when Sapphire led its $20 million Series A round.

At the core of OpsRamp’s services is its AIOps platform. Using machine learning and other techniques, this service aims to help IT teams manage increasingly complex infrastructure deployments, provide intelligent alerting, and eventually automate more of their tasks. The company’s overall product portfolio also includes tools for cloud monitoring and incident management.

The company says its annual recurrent revenue increased by 300 percent in 2019 (though we obviously don’t know what number it started 2019 with). In total, OpsRamp says it now has 1,400 customers on its platform and alliances with AWS, ServiceNow, Google Cloud Platform and Microsoft Azure.

OpsRamp co-founder and CEO Varma Kunaparaju

According to OpsRamp co-founder and CEO Varma Kunaparaju, most of the company’s customers are mid to large enterprises. “These IT teams have large, complex, hybrid IT environments and need help to simplify and consolidate an incredibly fragmented, distributed and overwhelming technology and infrastructure stack,” he said. “The company is also seeing success in the ability of our partners to help us reach global enterprises and Fortune 5000 customers.”

Kunaparaju told me that the company plans to use the new funding to expand its go-to-market efforts and product offerings. “The company will be using the money in a few different areas, including expanding our go-to-market motion and new pursuits in EMEA and APAC, in addition to expanding our North American presence,” he said. “We’ll also be doubling-down on product development on a variety of fronts.”

Given that hybrid clouds only increase the workload for IT organizations and introduce additional tools, it’s maybe no surprise that investors are now interested in companies that offer services that rein in this complexity. If anything, we’ll likely see more deals like this one in the coming months.

“As more of our customers transition to hybrid infrastructure, we find the OpsRamp platform to be a differentiated IT operations management offering that aligns well with the core strategies of HPE,” said Paul Glaser, Vice President and Head of Hewlett Packard Pathfinder. “With OpsRamp’s product vision and customer traction, we felt it was the right time to invest in the growth and scale of their business.”

[workfromhomeyoutuber]

Microverse: Full-Stack Ruby/Rails Senior Developer

Headquarters: Remote URL: https://www.microverse.org/

At the core of the role, we are looking for a hybrid Senior Full-Stack Ruby and Ruby on Rails Developer/Engineering Manager who will be responsible for co-leading a development team to create and maintain our proprietary software (our "Student Dashboard"), as well as other software that we are building in the near future for different departments. The software we are building combines the best of both worlds - technology and education - to create the most supportive online learning experience at scale. You will work closely with other developers, a designer, a Product Manager, and other team leads in various departments as the need arises (such as Admissions, Student Success, Careers Services, etc.). As a Senior Developer, you are responsible for interpreting technical requirements, writing and maintaining effective and scalable code, maintaining code quality of others through code reviews, organizing and automating syncing of data between third-party applications, co-designing a strategic vision of how our application will be developed with data architectural decisions, writing/testing the application for performance, responsiveness and security, as well as documenting feature functionality and creating reports for internal and non-technical team members. You will also mentor and co-manage 3-4 developers through tasks such as providing guidance when they are blocked, weekly pair-programming sessions, explanation of best practices, bi-weekly 1:1s, etc. You are responsible for the development of our junior developers to make progress each week and help them excel in their role and be on the way to become senior developers. Managing developers should take up to 30% of your time, while 70% will be spent on development tasks. Our product is the learning experience for all our students. Some experiences we are developing include:

Integrating a 3rd party tool with our proprietary software to create an Absence Detection System

Systematically detecting collaboration and activity between coding partners during projects and pushing feedback or responses based on detected contribution levels

A work queue for our Technical Support Engineers to efficiently review and give feedback for every project students create

Integrating a 3rd party polling app into our application to be able to collect more feedback and student data at scale

Developing our admissions software to scale to thousands of applicants per month

Admin tools to more efficiently review data or re-pair coding partners to improve processes and make them more scaleable in preparation for our continued rapid growth

Creating and implementing plagiarism detection software

This role reports to the Program Director, and works closely to create, maintain, and prioritize the development roadmap and co-manage the development team. Your efforts will enable a thriving community of students to transform their lives, help each other and contribute to their student experience by providing foundational support and accelerating their progress-tracking and learning to become world-class developers.

Duties & Responsibilities

Develop and maintain our Student Dashboard, which is the main application where a student may see their daily schedule, overall progress, and personal statistics.

Design and evolve our Admissions application which helps automate processes to verify and enroll applicants into the program.

Operate our administration system on Heroku, expand it and possibly transfer the whole system to more advanced cloud solutions.

Perform code reviews to ensure quality standards and best practices are used.

Create recurring and one-off reports when needed by various teams

Document How-Tos for our internal Wiki and the non-technical users of features deployed

Mentor, guide and manage developers by explaining the complexities of good programming habits, helping them when they get blocked, performing 1:1s, and leading them to self-development.

Work closely with the Product Manager to prepare and approve the scope of the work every week.

Education, Skills, and Experience

5+ years of demonstrated experience in Ruby / Ruby on Rails development.

At least one year of experience in one of the JS frameworks. Preferably React.

At least 2 years of full-time remote work experience managing or leading a software development team

Familiarity with cloud-based solutions such as Heroku/AWS/Azure.

Proficiency in creating integrations with external APIs.

Experience writing SQL and tuning relational database queries.

Experience managing small software teams in fast-paced environments.

You ideally...

Have prior startup experience and are comfortable with fast-paced changing of priorities

Have an eye for design, and can make recommendations for UX/UI based on your past experiences.

Take ownership of your code and feel comfortable deploying, potentially breaking changes.

Are eager to experiment and learn.

Have high empathy for working with individuals from different countries and cultures.

Are based in Europe/Americas/Africa (for max. timezone overlap with the rest of the team).

Will write the word "peanuts" somewhere in your cover letter.

Consider yourself to be a global citizen and passionate about making opportunities more equally distributed around the world.

What we offer

Help change the lives of thousands of people from all around the world by helping them start international careers

Join and shape the direction of a rapidly growing startup backed by Y Combinator and some of the top funds in Silicon Valley

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[tak4hir0]

It starts with someone posting an AWS press release in the company chat. “AWS Announces FooBar,” the headline reads. The announcement skirts around technical details, as usual, but contains a worrying amount of buzzwords that overlap with the company’s product. Somebody responds with a grimace emoji 😬. Others reply with all the ways AWS FooBar is totally not like our product and, anyway, ours is better, and, and… The flurry of replies betrays their true collective emotion: We’re screwed. They’re right to be worried. As a marketing consultant to enterprise software startups for the past six years, I’ve helped companies navigate and succeed in this scenario at least eight times.[1] In this article I explain why every software startup should be prepared for this scenario, why the initial panic is justified, and how to position products against alternatives from “Big Cloud” (AWS, Azure, GCP). Every Software Startup Should Be Prepared to Compete Against AWS, Azure, and GCP Even if you’re not competing with Big Cloud today, there’s a good chance you will soon. This is especially true if your product is in the serverless, stream processing, machine learning, containerization, IoT, data warehousing, or batch processing space. Those are the fastest growing cloud services—according to a survey from Rightscale—and Big Cloud companies know it. Big Cloud companies earn the bulk of their revenues from metered billing of storage, compute, and streaming. Having turned those infrastructure workloads into commodities, the Big Cloud companies are in a race to provide differentiated products higher in the stack just to bring more customers onto their infrastructure. That is evident in the sheer size of their product portfolios and pace of product releases: AWS has 182 products and made 83 major product announcements (launches or major releases) in 2018.[2] You Should Worry When Big Cloud Launches a Similar Product There is a tendency, upon learning of a Big Cloud intrusion, to bury our heads. Internal emails will include explanations for why the Big Cloud product “is not really competitive,” “is not as good as ours,” and “can only take a small piece of the market.” Maybe those things turn true, but there are good reasons to at least take the competition seriously: 1. Resource Imbalance Big Cloud companies can win by brute force: Pouring obscene amounts of resources into engineering, marketing, and sales until they outrun or outlast the competition. It won’t be enough to have a better product by a smidgen, or to have a small head start in the market. 2. Complicated Relationship Startups participating in Big Cloud partner programs, such as the AWS Partner Network, will find themselves sharing sensitive information and valuable resources with the competition. For them, leaving the program would mean relinquishing a potentially significant acquisition channel. Meanwhile, Big Cloud wouldn’t flinch at losing a startup partner, and therefore has no incentive to be prudent with the information it obtains. 3. Broad Reach and Influence AWS can get on stage and influence a thousand people, or send an email and influence a hundred thousand, or play a TV commercial and influence millions. Using their broad reach and brand recognition, Big Cloud can influence how people perceive the market and make their decisions. 4. Captive Audience Even better than a reachable audience is a captive audience. Big Cloud companies have millions of users, already running on their platforms and familiar with their products. They can reach this audience to upsell and cross-sell products in a few clicks. 5. Pricing The objective for most Big Cloud products is not to make profit, but to bring customers onto the platform and increase infrastructure usage (compute, storage, streaming). Therefore the products can be users as loss leaders: Priced at very low or no cost, provided they drive increased infrastructure usage. For startups, at best this eliminates the option to compete on price, at worst it forces them to lower prices with no way to make up for it. 6. Easy Access Engineers at companies already running on AWS can buy, deploy, and integrate an AWS product before their coffee cools. Metered billing means there are no upfront costs or negotiations. Being on the same platform means seamless integration between tools and services. 7. Early decision In the past, decision makers had to choose whether to build a solution in-house or purchase software from a vendor. Today, the low prices, easy access, and brainshare of Big Cloud offerings create a new option for decision makers: Use what their cloud platform is offering. It used to be “buy vs build.” Now it’s “buy vs build vs big cloud.” For software startups, this means they can be ruled out even earlier in the buying process, before any conversation, evaluation, or feature comparison takes place. How to Win Against Big Cloud Prepare Attend trade shows, seek out insiders who might tip you off about looming competition, and generally keep an ear to the ground. Advance warning will allow you to dredge a wider moat, prepare a response, and avoid company-wide panic when the press release hits. Having a pre-emptive strategy for competing against Big Cloud will make it possible to ride the initial wave of hype following their announcement, leveraging their campaign to bring attention to your own product, and pulling away from other startups who will be caught by surprise. With the right strategy and execution, the launch of a competitive product from Big Cloud could be turned into a positive inflection point for the startup and its market. Even if you are not competing against Big Cloud now, good preparation will improve reaction time and chances of succeeding when the moment comes. If your product even remotely encourages more use of cloud compute, storage, or streaming, then you should prepare. Support Multi-Cloud According to the same survey by Rightscale, 84% of enterprise organizations have applications and workflows scattered across on-prem, private cloud, and public cloud environments. If you are “the #1 solution for X on AWS,” and AWS launches a solution for X, you become a distant second choice. If your product works across a variety of environments, then it will remain a viable—and probably better—option for buyers that want to solve an organization-wide problem. Those buyers will need a solution that works across their entire infrastructure, not just the part on AWS. Support for multi-cloud and hybrid environments is one of the most common reasons I hear from decision makers for why they bought software instead of using the cloud offering. Multi-cloud and hybrid-environment support could be a decisive advantage over Big Cloud offerings. And, unlike a small lead in features, this advantage will last a while: Big Cloud companies have little incentive to make products for other platforms. With options like Kubernetes and Gravity, adding that capability to products may not require a monumental engineering effort. Think Twice Before Open-Sourcing While it helps with awareness and credibility, open-sourcing products in whole or in part lowers the barrier to entry for competitors. For any new and sufficiently popular open-source product X, it is trivial for Big Cloud to introduce a “Managed X” offering, as AWS did with Elasticsearch, or to pair it with their security products and package it as “X for Enterprise,” as AWS did with MongoDB and as Google did with Kubernetes. (The Kubernetes story has a few fun twists in it: First, the company Docker released an open-source containerization product. By the time they launched a paid container management service, Google already developed and open-sourced their own container management solution, Kubernetes, which won the market. Then, after Docker released an enterprise solution for managed containers, Google beat Docker once again with the launch of Google Kubernetes Engine.) For example, when AWS launched a “Fully managed, scalable, and secure” packaging of the open-source software Elasticsearch, it led the makers of that software to admit: “… Amazon competes with us for potential customers, and while Amazon cannot provide our proprietary software, the pricing of Amazon’s offerings may limit our ability to adjust the price of our products.” The questionable benefits of open-core business models, combined with the vulnerability it opens to competition from Big Cloud companies—who are not ashamed of taking advantage—is why I advise companies to guard their product and not go open-source, or to limit their vulnerability if they already open-sourced, as Confluent did by changing their licensing when AWS pulled the same maneuver with Kafka, the open-source software from Confluent. Position Against the Category, Not the Product Now that companies decide between “build vs buy vs big cloud” before doing side-by-side comparisons of products, startups must position their product as a better alternative or complement to the entire “big cloud” category of solutions. Don’t talk about who has the better features. First, given the engineering resources available to Big Cloud companies, any feature advantage will be short-lived. Second, buyers make feature comparisons much later in the buying process, after ruling out the majority of options based on their perception—not features—of those products. So why is your product better than Big Cloud, despite the (likely) higher cost and time to deploy? Here are common answers I have found from my interviews with buyers, that may or may not apply to your product: Works Anywhere with Anything “Our product deploys, runs, and integrates with applications on any infrastructure. Organizations running applications hybrid or multi-cloud environments can use the product without restrictions and without consolidating to one cloud provider.” Self-Service for Non-Technical Users “Products from Big Cloud providers often serve the users closest to infrastructure work, such as engineers, operators, architects, developers. Our product lets non-technical users such as […] do their work without being blocked by or burdening technical teams.” End-to-End Solution “Our product is an end-to-end solution that does not require engineering work to glue parts and other systems together. Big Cloud products act more like building blocks that work well with other parts of their platform, but are not that useful or even usable on their own.” Purpose-Built “Our product was made—and continues to be developed—to solve the unique needs of your industry. It integrates seamlessly with people, workflows, tools, and systems you already have, such as […].” Expert Partners “In addition to documentation and examples relevant to your use cases, we provide expert support and consultation to all customers, regardless of their size.” Customer-Driven Development “We are laser-focused on making the best product for […], constantly making improvements based on input and emerging needs of people like you.” If you’re still unsure how to explain your advantage over Big Cloud products, ask the buyers who chose you over AWS, Azure, or GCP, like I did for Gravitational and for Netlify. After developing new positioning to compete against Big Cloud, turn it into new or updated messaging, align the company on that messaging, and bring it to market through your sales and marketing channels. Conclusion The entry of Big Cloud is not always a death knell, but it’s serious. Startups that acknowledge the threat from Big Cloud companies, prepare accordingly, and react with the right strategy and sense of urgency could not only survive but thrive. Maybe even long enough to be acquired by one. [1] An incomplete list: I was consulting FoundationDB when AWS launched Aurora; Scalyr when AWS launched its Elasticsearch service (often used for searching through logs); Gravitational when Google launched GKE; Domino Data Lab when AWS launched Sagemaker; Etleap when AWS launched Glue; Nexla when Google acquired Alooma and as AWS launched AWS Lake Formation; Netlify when Google acquired Firebase and when GitHub (owned by Microsoft) launched Actions. In one case I saw things from the other side: When the startup Particle launched their IoT solutions, I was consulting AT&T on launching their own IoT platform and marketplace… True to form, AWS also launched an IoT platform that year. [2] Product counts are approximate, and do not include general business product groups such as G Suite or Office 365. Sources: 1, 2, 3, 4, 5, 6, 7, 8. ◼ PS - Liked this article? I write one every month or so, covering lessons learned on B2B startup growth. Don't miss the next one:

[mpdtechnologyblog]

When to Consider AWS, Azure or Google Cloud

The demand for cloud computing platforms and services continues to rise, and it shows no signs of slowing down. According to a study by IDC, worldwide spending on public cloud computing will increase to $162B in 2020. (Source: Forbes) Part of the appeal of cloud computing is its ability to support new and innovative business models and more globalized network infrastructure. A vigorous commitment to security, data privacy, and compliance by today’s biggest public cloud providers has also spurred adoption and helped ease concerns from early cloud adopters. The big three providers in the public cloud market continue to be Google Cloud Platform (GCP), Amazon Web Services (AWS) and Microsoft Azure. Let’s take a closer look at the pros and cons of each cloud service provider.

Google Cloud

Who’s best suited for GCP? Many startups and nimble mid-size businesses are drawn to Google’s cloud platform because of the company's openness and experience in containerized environments. The company’s open-source platform, Kubernetes, is a leading system for automating deployment, scaling, and management of containerized applications. It’s even been adopted and molded into offerings by AWS and Microsoft. For those companies look to build container applications, the Google cloud is often the first choice. The company also offers a lot of big data, BI, AI, and machine learning. In fact, the company announced a service that allows customers to build their deep learning models by clicking a few buttons and uploading some samples. Supporting the AI revolution is Google's skilled in-depth learning programmers that are working hard to build a more user-friendly deep learning experience. Even though a point-and-click AI experience is far from a reality, those companies thinking along those lines today are more likely to select Google's cloud platform.

Cons- Google has traditionally focused on the consumer market, so enterprise customers are sometimes hesitant to adopt. Because it has a smaller market share, it also offers fewer service options overall. And while it does support mission-critical workloads, it does not currently provide backup or archive services.  

Amazon Web Services

Who’s best suited for AWS? As the global leader in the public cloud arena, AWS is often the go-to cloud option for large enterprises that run a lot of virtual machines in the cloud. Often seen as the ‘enterprise choice’ for cloud services, companies that gravitate to AWS are risk-averse and looking for a reliable, proven cloud partner that offers a broad menu of cloud services. The company also has a massive network of data centers around the world, spanning 50 Availability Zones (AWS’ word for coverage area) within 18 geographic regions around the world.

Cons- Although Amazon is well equipped to handle any number of workloads, and it’s relatively simple to start using AWS, deploying more extensive applications with Amazon can require specialized skills. Cost is also an issue for those companies deploying many workloads in AWS.

Microsoft Azure

Who’s best suited for Microsoft Azure? Companies that already use an array of Microsoft technology are most prone to gravitate to the Microsoft cloud stack. That might include using Office 365, SQL, SharePoint or on-premises Windows Server clusters.  Not only does Microsoft offer substantial contract discounts for customers that bundle several Microsoft products, but there are also synergies when launching Microsoft-enabled technologies in the Microsoft cloud. In 2016, Gartner named Microsoft as a leader for their IaaS, cloud storage services, and application PaaS options. (Source: Gartner) Another benefit of going with Microsoft is the company’s high-availability of services and security services. They are also making it easier to adopt a hybrid cloud model. The long-time-coming Microsoft Azure Stack will provide tighter control over private and public clouds and give on-premises environments direct access to public cloud services, including AI, databases, and analytics.

Cons- Some report poor service from Microsoft’s cloud team regarding technical support, documentation and partner offerings. Not only that it also requires platform expertise to ensure all moving parts are working together efficiently. Azure needs to be managed and monitored carefully to ensure dollars aren't wasted over-provisioning cloud services.

Wrap up

2018 will be a big year for public cloud providers and an even bigger year for companies focused on enterprise transformation. Forrester predicts that we'll cross that significant 50% adoption milestone for cloud services in 2018. Analysts also see ‘cloud applications, platforms and services will change the way enterprises compete for customers radically..' (Source: Forrester). While it used to be that cloud computing was an alternative to stuffy, conventional IT management and a cheaper place to store and run applications, today it's seen as an innovation engine. Not only does today’s cloud give developers the freedom and convenience to spin up their servers and services to support innovation, but it also delivers security and compliance protections yesterday’s cloud services could not.