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Top 5 Crucial Azure Platform Tools and Services

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Microsoft has been diligent over the years in providing a great variety of tools as part of its cloud computing platform, Azure. Enhancing everything from business, and finance, to DevOps automation and cloud management. We take the time to dive into some of these useful Azure tools and how they can help improve your workflow and business operations.

Azure Tools for Automation, DevOps, and Management

Building and setting up a cloud environment, powered by public cloud infrastructure and scalability, can take some time. With the right tooling, you can improve any process you need to make your business more agile, resilient, and cloud-ready. Before utilizing any of the following tools, you might need to go over the best steps and practices for cloud adoption.

Another important point to ensure cloud enablement is to establish automation. As a process, automation is divided into configuration management and orchestration. The process is vital for many aspects of your cloud-based business. For instance, if you have set up 30 or 40 virtual machines in an Azure environment, having cloud automation tools and cloud management tools helps to ensure each one of these systems is updated and patched to the latest version. When your automation tool notices one of the VMs is not patched, it simply applies the updates automatically.

1. Azure Automation

Utilizing Azure Automation enables you to merge orchestration and configuration management operations. Admins rely on this tool to create runbooks to carry out management tasks efficiently. The tool also gives you a chance to easily provision the necessary infrastructure and create webhooks (Azure Resource Manager (ARM) templates are integrated to allow this feature). Scaling up a database, for instance, can be run by a technician who does not have access to the environment. Learn more about Azure Automation.

2. Azure DevOps / Azure DevOps Pipelines

These handy tools will allow you to incorporate automation for your CI/CD pipeline. With CI/CD you are automating code development and deployment while keeping an eye on every single detail. If an environment is more complex, you can make any necessary adjustments fast.

3. Azure Virtual Machines

Having a Virtual Machine (VM) via Microsoft Azure is a powerful cornerstone for a lot of businesses out there. In basic terms, it means you are making the most out of contemporary cloud computing. How? Easy. You are utilizing your own machine or system without having to spend on purchasing or maintaining physical equipment. Whatever your business needs to host applications or websites, or development, with Azure VMs.

4. Azure Active Directory

In terms of modern-day cybersecurity, Azure Active Directory (AD) contains all you need to secure account activity via identity management. Providing a mix of sign-in and multi-factor authentication, in addition to other security features, it is the best way of ensuring solid protection for your business environment. If you need further guidance on Azure Active Directory, Hentsu engineers have discussed tips and valuable info on Device Protection, Conditional Access, Compliance, and more.

5. Business Intelligence Tools

Relying on business intelligence tools like Power BI from Microsoft unlocks a wide range of benefits. One of the biggest advantages, of course, is the ability to accumulate and process data efficiently. After that, you can further organize your data, analyze, make dashboards, reports, and various visualizations. This tool is focused on improving specific aspects of your business operations: keeping an eye on market trends, precisely monitoring KPIs, and more.

Other Cloud Valuable Azure Tools

In addition to everything mentioned above, other helpful Azure tools are available, such as MS Azure Storage (allocating necessary storage for your business), Azure Backup (back up data safely), Azure Site Recovery (cost-effectively ensuring business continuity and data protection via site recovery) and more.

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Download interview with our Cloud Solutions Architect Jean-Luc Barrett

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Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Upcoming Events

  • Webinar Series: Pushing the Limits of Microsoft Modern Workplace7 Apr, 2020
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Architecting Your Cloud Strategy Roadmap

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Cloud adoption is a complex process. In that regard, cloud migration paves the way for hedge funds and financial services. Cloud computing services, cloud architecture and cloud design are the main components that are needed to achieve this.

For many years Hentsu has been accumulating the necessary knowledge for streamlined cloud deployment and cloud implementation.

Devising your own cloud strategy roadmap may seem like a difficult task indeed. Although with the right guidance, you can simplify your journey.

 

Cloud Computing Services and Cloud Guidance

To achieve cloud readiness, there is a range of processes and preparation steps needed. For instance, your staff and operations need to adapt to the new environment, as you set up more powerful infrastructure. Detailed analysis of each aspect of your business is also required.

Here are some of the steps you can achieve easily through professional cloud computing services:

  1. Cloud Readiness via specialized cloud advisory services.
  2. Rapid cloud deployment through powerful tooling such as Terraform.
  3. Smooth cloud migration tailored for your business.

Of course, the results are the most important aspect of this effort. The best results are usually achieved with methodical cloud assessment and precise cloud implementation. To maintain success and solid ROI, it is advisable to set up automation processes, particularly in pipeline management (CI/CD).

So, what are the chief advantages of cloud implementation and cloud enablement? Have a quick look below:

  • Cost-efficiency
  • Scalability
  • Security

There is more to it, of course.

 

To explore other benefits of cloud adoption, DOWNLOAD our step-by-step infographic.
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Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Upcoming Events

  • Webinar Series: Pushing the Limits of Microsoft Modern Workplace7 Apr, 2020
  • The Trading Show Europe 201917 Oct, 2019
  • Charity Night At The Gallery25 Sep, 2019
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The DON’Ts of Cloud Adoption Decision-Making

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In the current technology market, the public cloud is recognized as the safest and most efficient way to streamline business operations and improve ROI. When the process of cloud adoption takes place, this involves major changes for a business. Opting for a cloud vendor will have a huge technical impact on your team. Rather than losing time and staff or reskilling employees, you might consider passing the responsibility to experts with the cloud knowledge to develop and evolve your application stack, thus ensuring the continuity of your app within a brand new tech-savvy environment.

Avoid These 6 Common Mistakes for Cloud Adoption

Be mindful of one fact: cloud adoption is not an effortless endeavor. It’s hardly a trouble-free journey. There are many challenges on that road. Before kicking off, you need to find the biggest priorities for your business. To ensure a strong cloud strategy is possible, you can give yourself a head start by avoiding the following 6 mistakes:

1. Disregarding Powerful Tooling, Especially Docker

2. Making Sudden and Wrong Decisions

3. Neglecting Governance and Security

4. Not Expecting Failure

5. Thinking it is a Simple and Easy Process

6. Over-burdening Your Under-resourced IT Staff

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1. Disregarding Powerful Tooling, Especially Docker and Terraform

Don’t make the mistake of ignoring these tools. Terraform has been a mainstay of cloud deployments for years supplying essential building blocks for cloud deployments. Docker is also instrumental for cloud-related development projects. As opposed to VMs (Virtual Machine), using Docker means you do not have to set up clean environments and then just hope to avoid potential conflicts. Docker reduces or removes the chances of any conflicts. Make sure you dig into all the biggest benefits of Docker before handling complex cloud-based development.

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2. Making Sudden and Wrong Decisions

Migration from legacy systems to the cloud can be painful to a business, especially if wrong decisions are made. The key thing is to keep the specific nature of your business in the crosshairs. When migrating applications and data, enterprises get too eager. They try to kick things into high gear straight away. This leads to too many moving parts and not enough time to recover from mistakes. As a result, your massive migration project can collapse easily.

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3. Neglecting Governance and Security

Switching to the cloud doesn’t mean you should forget or minimize security, compliance, and governance. Security risks are like the on-premise environments, but also different that they can involve risks like hijacked of accounts, exposed public services, and so on. Sometimes a business may assume that governance and security is handled for them, or that it is the same as on-premise. Whilst it’s true that Amazon, Google and Microsoft cloud platforms are far more secure and supply more governance than what could be obtained on-premise, their vast range of tooling needs correct implementation.

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4. Not Expecting Failure

There is a golden rule in cloud architecture: design for failure. Avoid getting too confident. You need to think about incorporating safety nets, recovery strategies that are built into the design right from the get-go. So, if the entire cloud set up experiences an outage, these precautions will ensure minimal harm and best output.

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5. Thinking it is a Simple and Easy Process

Cloud adoption within a larger, complex business, with mission critical processes, is not a walk in the park. It is not just a technology initiative. You must think about people and processes. Furthermore, different parts of the business may have diverse strategies, decisions, and business goals to consider during a cloud migration. We advocate for sufficient planning and business strategy ahead of time, with clear stakeholder buy-in and ongoing management.

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6. Over-burdening Your Under-resourced IT Staff

It is known for tech staff to be under pressure with day-to-day business. They commonly do not have the ability to undertake large transformational projects, such as cloud adoption. Similarly, cloud adoption often requires significant upskilling/training of the existing IT staff to undertake complex cloud infrastructure. Either of these can create a great burden on your team. So, how do you cut the risks involved with the acceleration of cloud adoption? One answer is to engage with cloud experts to bring the best practices and design patters into your team quicker. This will be more efficient. It will also allow the internal staff to transition more smoothly, whilst still focusing on your core business operations.

[/et_pb_text][et_pb_video src="https://www.youtube.com/watch?v=C1k-XApVO2k&feature=youtu.be" _builder_version="4.1"][/et_pb_video][et_pb_text _builder_version="4.1" hover_enabled="0"]

Download interview with our Cloud Solutions Architect Jean-Luc Barrett

[/et_pb_text][/et_pb_column][/et_pb_row][/et_pb_section]

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Upcoming Events

  • Webinar Series: Pushing the Limits of Microsoft Modern Workplace7 Apr, 2020
  • The Trading Show Europe 201917 Oct, 2019
  • Charity Night At The Gallery25 Sep, 2019
More

Hybrid Cloud Solutions: AWS Outposts vs. Azure Stack vs. HCI

Powerful tech firms like Google, Amazon and Microsoft have the benefit of resources to push their own tech forward. However, it is still a competitive market out there even for them. They are competing with each other and now hyper-converged infrastructure platforms are also competing for similar clients.

The Perfect Collision of Public and On-Prem

Sometimes businesses must consider the best of both public and on-prem. On-site or on-prem can tackle specific scenarios of storage, regulatory constraints, latency, and architectural compatibility. There are other advantages, but it is obvious that there is a market for hybrid cloud infrastructure. Big players such as Amazon and Microsoft are responding to this demand and delivering their own hybrid cloud solutions – AWS Outposts and Azure Stack to compete with HCI and protect their territory. If a business requires hybrid, they can get that but within the ecosystem of the public cloud platform. It allows them to extend their tools and features into on-prem and provide for efficient skills, management and troubleshooting. This proved to be another effective way for Microsoft and AWS to deliver public cloud services to enterprises, whilst also supplying a stable and predictable on-premise cloud environment but creating a vendor lock-in. HCI, on the other hand, approaches the problem by removing the dependency on a single cloud provider.

What is AWS Outposts?

AWS Outposts is Amazon's way of making their own AWS-based services available for on-premises use and was seen a few years back as a departure from their well-known method: public cloud only. Apart from running AWS on-prem, these services allow customers to extend AWS virtual private clouds into their on-prem environments. What this means is that a single virtual private cloud can rely on resources from the public cloud, as well as the data center. Through it all, you get benefits such as:
  • Best of both worlds: low-latency or geographical requirements stay on-prem, and other workloads can run in Amazon cloud. This is one of the biggest advantages and the reason a lot of companies choose hybrid cloud solutions over full-on public cloud.
  • Simplifying workloads migration: that’s right, AWS Outposts actually makes things a lot easier when it comes to workloads migration between on-premise and the cloud. Some similar efforts were made in healthcare (check out this PDF), where Outposts provided a consistent environment for running applications in the cloud and on-premises, with simplifying deployment of applications.

What is Microsoft Azure Stack?

It took a bit of time, but Microsoft Azure Stack has grown. It has now evolved into a robust package with several distinct products and services within the suite. Initially, Microsoft launched it as a simplified way of hosting Azure services on premises. Today’s edition of Azure Stack denotes a choice of services:
  • Azure Stack Edge (cloud managed appliance) – Enables companies to run managed virtual machine (VM) and container workloads on premises. This is done through Windows Server, although Azure Stack Edge offers the added advantage of managing workloads with a common tool set; no matter where they are running – in the cloud or on prem.
  • Azure Stack Hub (cloud-native integrated system) – this service within Azure Stack is used to run cloud applications and handle workloads on premises. Certain businesses wish to remain on premises due to technological and regulatory barriers. Microsoft’s elegant hybrid cloud solution handles workloads, regardless of location.
  • Azure Stack HCI (hyper-converged infrastructure) – As the very name suggests, this product is just an edition of Azure Stack running on HCI hardware.

What is Hyper-Converged Infrastructure (HCI)?

Hyper-converged infrastructure (HCI) has been evolving for years and is a convergence of compute, networking, and storage infrastructure into a single platform, deployed and managed via a single UI. HCI is an effective way of eliminating some of the disparate manual work during the deployment process. The goal is to be able to deploy a system in a more straightforward process. HCI often removes the burden of requiring specialist team members with unique hardware skills for compute, networking, or storage. Recently, HCI has been evolving towards public cloud. Vendors have embraced integrations with public cloud providers to offer flexibility of hybrid solutions. Companies now seek HCI to facilitate an effective multi-cloud strategy, thereby reaping the benefits of both worlds. According to this research, these benefits enable companies to reduce their data footprint in the cloud, and decrease cloud costs. It can be valuable for storage persistence across private and hybrid clouds. In addition, HCI has a proven function as a practical platform for edge computing. For instance, companies like VMWare and Cisco use HCI to bring edge computing architecture closer to users and devices that require it.

AWS Outposts, Azure Stack and HCI – Who Wins?

Azure Stack HCI is now a solid addition to the Azure Stack package. In time, it may turn out to be a competitor against traditional HCI. The primary advantage here is that Azure Stack HCI connects VMs to a variety of Azure cloud services. These services improve the cluster with facets such as cloud-based monitoring, Site Recovery, and VM backups. Additionally, you get a central view of all Azure Stack HCI deployments within the Azure portal. Plus, you can manage the cluster with existing tools (Windows Admin Center, System Center, and PowerShell). Azure Stack HCI also denotes scalability for storage and compute. Briefly, with this product Microsoft may just grab any companies looking to handle the challenges of high-performance workloads. Meanwhile, Amazon is already allowing data centers to run on the AWS Outposts infrastructure. It is a very sturdy bridge between on-prem services and Amazon public cloud, so it’s only a matter of time before we see it evolve into something even more powerful. We have already seen VMware on AWS Cloud – the highly popular hybrid cloud service, which allows businesses to migrate legacy applications and data to the public cloud (keeping them modernized and fresh). HCI has its place and it’s bolstered when there are existing capital investments which will swing TCO calculations in its favour. However, this will depend on how you want to map the future of your business. Having any kind of hybrid cloud solution that involves on-premise can initially seem as just the right ticket. However, there are so many variables to take into consideration. Consequently, businesses can go down the road of fast judgment and wrong decision making (especially when we’re talking about cloud migration, and processes like refactoring). There are so many new and exciting things happening in the cloud market. Before diving into any hefty financial business commitment, you might also want to discover the key differences between the public and private cloud environments.

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Upcoming Events

  • Webinar Series: Pushing the Limits of Microsoft Modern Workplace7 Apr, 2020
  • The Trading Show Europe 201917 Oct, 2019
  • Charity Night At The Gallery25 Sep, 2019
More

Serverless Computing: AWS vs. Azure vs GCP Cloud Comparison

For well over a decade now, we’ve seen Microsoft, Google and Amazon competing fiercely in a cloud services war, with serverless computing being one of the biggest battlefields. We have been talking about various serverless technologies on numerous occasions here at Hentsu. For the most part, the term ‘serverless’ actually relates to a variety of topics, from public cloud technology in general, to ephemeral computing and grid computing. Now, let’s take a step back first to understand how things work.

Serverless Computing Explained

With the utilization of serverless computing, any company can essentially devote all efforts towards the core business without worrying about the underlying infrastructure that supports it. The business is charged by the serverless vendor based on computation. The benefit, of course, is not reserving and paying for any fixed bandwidth or servers being used. In short, serverless computing removes infrastructure management tasks like server or cluster provisioning, patching, OS maintenance, and so on.

Misconception About Serverless

The name ‘serverless’ can actually sound confusing to those who are unfamiliar with its purpose. So, serverless does not involve the exclusion of servers when running workloads, distributing applications, etc. Using serverless or rather serverless architecture is a reference to the basic notion of developers utilizing software that’s hosted within the public cloud space. Software developers use serverless tech to compose code and then run that code on a cloud platform, and then directing that code towards a specific task or goal.

AWS – Pros, Cons and Tools

Amazon is a powerful force in the realm of public cloud. The sheer amount of operations, services and tools that are being handled and delivered via AWS is staggering. All these services are pushed through a strong network of data centers. This unlocks an array of capabilities, massive resources and being able to handle a large number of users. AWS continues to grow at a breath-taking pace. It successfully outmatches its chief competitors (MS and Google) on various aspects.

AWS Tools 

AWS features next-generation tooling, and they are very good at pushing it forward. SageMaker, for instance, is a powerful service used to label, build, train, fine-tune and deploy machine learning models. Amazon also uses Lex, to power its Alexa services, its Greengrass IoT messaging service as well as Lambda (used for serverless computing). Lex unlocks a cutting-edge deep learning facets involving automatic speech recognition (ASR). It converts speech to text, and natural language understanding (NLU) to understand the point of the text. Building applications with these tools allows businesses to engage with users better than ever before. On the DevOps side, AWS also has a variety of in-house offerings. For developing and implementing code, you can opt for CodeCommit, CodePipeline, CodeDeploy, and more.

Lambda as a Business Model

Lambda is AWS’s main feature when it comes to serverless. With Lambda customers use a unit of code for a function or a task, to achieve certain results. The customer leases this piece of code for a certain amount of time until the required tasks are carried out. AWS then charges for the memory that’s used to carry out the function, and for the time this function or service is active. Simple and highly effective. To give you a bit more perspective on this, Lambda is tool that powers the biggest internet TV network, Netflix. Remember, this is a network that boasts over 190 million subscribers as of Q2, 2020.

Machine Learning and AI

In addition to SageMaker, and other AI-based tools and services, AWS also delivers something called DeepLens. This is AI powered camera is utilized for developing and deploying machine learning algorithms for optical character recognition, object recognition, image recognition, and so on. AWS also uncovered Gluon, which was created as an open-source deep learning library for both developers and non-developers. It’s used to build and quickly train neural networks, but without requiring any knowledge of complex AI programming.

The Cons  

Amazon does have a disadvantage and a lot of enterprises working with this particular public cloud provider will know it. AWS’s cost structure can be a bit difficult to understand. If a business runs complex and heavy workloads via AWS, managing costs effectively will not be easy. Such a drawback tends to ward off enterprises from using AWS services. To be fair though, Amazon's vast array of tech, cloud-based services and tools, usually counterweighs these drawbacks.

Microsoft Azure – Pros, Cons and Tools

Serverless computing is a very hot topic on today’s tech market. There is a common misconception that Microsoft came late to the party. What Microsoft did is simply give itself a powerful kickstart by repurposing its own valuable software for the cloud. This includes Office, SQL Server, Windows Server, Dynamics Active Directory, .Net, Sharepoint, and more. Microsoft’s solutions and software have remained in use over the years. All these solutions are neatly integrated into the Azure suite, which remains the chief benefit of this provider. So, when users jump into Azure, they are usually quite familiar with the surroundings. Such characteristics build loyalty, especially from existing MS users and enterprises. For instance, Microsoft offers discounts for enterprises who are already using their software and this gives them a huge advantage over the competition.

Azure Serverless

On the serverless computing front, Microsoft has quite a few things on offer. Their services include powerful DevOps and helpful tools. These allow developers to build serverless applications from their own developer environment. Therefore, you can easily build, test and deploy functions, containers, and Kubernetes-based apps. Another benefit is getting cloud-hosted private git repos utilizing Azure DevOps. Setting up continuous integration/continuous delivery (CI/CD) is straightforward as well. Other advantages denote automatic package management, automatically triggering builds, and deploying to Kubernetes, Azure Web Apps, and so on. All of this is massively valuable for DevOps purposes. In response to AWS’s Lambda, Microsoft launched Azure Functions, their own powerful serverless computing tool. It is now used across the globe for simplifying complex orchestration challenges, faster solutions development, swift code deployment across multiple targets, and more.

ML for Serverless

That’s right, MS has its own way of employing AI and ML (Machine Learning) to improve your productivity. It’s possible to build, train, and deploy models on Azure Machine Learning. What’s more, Microsoft’s DevOps for machine learning lets you imbue your serverless apps with highly effective AI and machine learning algorithms. They’ve also introduced cognitive computing, which enables your serverless application to “see, hear, speak, understand and interpret” the needs of users via natural methods of communication. The complex process is accomplished with Azure Cognitive Services and using an API. MS also utilizes chat bots. The Azure Bot Service interacts intelligently with users via Skype, Microsoft Teams, Slack, Office 365, and Twitter.

The Cons  

On the negative side, huge traffic during the COVID-19 crisis has taken a toll on Microsoft’s communication apps such as MS Teams. However, the company strives to improve this with each passing month by adding a variety of features and functionalities. Of course, a major disadvantage that comes to mind with Azure is vendor lock-in (to be fair, that's a problem for any PaaS solution). Over the years, Microsoft's Azure Functions was said to have downsides. Deploying, authoring, testing, and executing a function was often too hard in any environment outside of Azure and the Azure portal. Mind you, it's already being stated that MS has made efforts to improve this.

Google Cloud Platform – Pros, Cons and Tools

Experienced users instantly know the biggest benefits of Google Cloud Platform (GCP). Google is known for creating the Kubernetes standard. Their specialty involves high compute offerings. As a provider, they are known for featuring significant scale and load balancing. While Google Cloud competes on the market with powerful resources, they have hit the cloud market much later than AWS or Azure. They are not focused on enterprise, albeit they did launch cutting-edge tooling for DevOps. When it comes to machine learning, the company has presented some ground-breaking solutions as well.

Cloud Functions, App Engine, Cloud Run

Using the provider’s Cloud Functions gives you a chance to spin up code on demand, responding to events that originate from anywhere. It’s simple to create applications that scale from zero to global-scale. This is accomplished without provisioning or managing a single server. With App Engine, you can utilize well-known dev languages and tools. With zero server management or configuration deployments, developers can focus on building highly scalable applications without large management overhead. Furthermore, Google’s Cloud Run allows you to Run stateless HTTP containers on a fully managed platform or on Anthos. Also, another option is to utilize an open API and runtime environment built on Kubernetes – Knative. This enables you to run workloads anywhere. Google’s huge advantage is its proprietary tools. For example, BigQuery and BigTable are based on Google’s ‘Colossus’ structure. The company utilizes Colossus for its own search architecture. Other providers can’t quite match that scale. Furthermore, another cool addition to G suite is Spanner. This product features atomic clocks to keep SQL databases synchronised between their data centres.

Google Compute

In all fairness, Google Compute is more the equivalent of AWS EC2 or Azure VMs, but it’s still a solid benefit of this provider. Google highlights this as their services and their basic compute platform. Supporting Windows and Linux, users can custom configure their platform or a get pre-defined machine type. As you’d expect, GCP concentrates on Kubernetes deployment, since this is the provider’s area of expertise.

The Cons

As we mentioned earlier, Google has arrived a bit late to the cloud market. Consequently, the offerings aren’t as rich and varied as that of its Amazon and MS counterparts. Google doesn’t boast the number of global data centers like Amazon or MC – although it’s been noted that they are expanding in that area. Historically, in terms of moving to the cloud spaces, large businesses do not opt for Google too often. Google proved to be more of an DevOps focused and open-source focused provider. In terms of storage solutions, Google is a bit lacking, with poor backup options. Mind you, the provider does offer SQL and NoSQL support.

Anchoring Your Business to the Right Serverless Strategy

An enterprise may choose to rest its entire business process on the shoulders of any of the three public cloud providers. But in terms of serverless development and serverless technologies, it’s fundamentally about setting up the right strategy for your own business. To point is to anchor your business with a strong value to push it forward. In some instances, serverless tech is an improvement, especially given the powerful cloud resources that become available at the push of a button. When we are talking about applications that are custom-tailored for serverless, that's usually the best way to go considering some of the massive benefits of serverless tech. Many businesses are still worried about how and when they should change cloud providers, or if they should do that at all. The key factor to remember is that with serverless technology, you are not necessarily making radical changes to your business. What you are doing is modernizing your business and letting it evolve and grow.

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Upcoming Events

  • Webinar Series: Pushing the Limits of Microsoft Modern Workplace7 Apr, 2020
  • The Trading Show Europe 201917 Oct, 2019
  • Charity Night At The Gallery25 Sep, 2019
More

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NEW YORK, NY February 23, 2021 | Portfolio BI, a leading provider of front-to-back solutions for order management, portfolio management, data management, and reporting for the buy-side, announced it has completed the acquisition of  Hentsū, a global provider of fully managed AWS and Azure cloud platforms for fund managers with on-demand applications, compute clusters, and connectivity to market data providers, brokers, and exchanges. The Acquisition will Strengthen and Expand Portfolio BI’s Offering to include FinTech Managed Cloud Services, Data Science, and DevOps.