Infographic: Cloud Migration Overview and Benefits

Cloud Migration Overview and Benefits: Know more about cloud migration facts and figures, business benefits of cloud migration, how to calculate migration cost and cloud migration investments. See the below infographic for more details.

Infographic: Cloud Migration Overview and Benefits

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What You Need to Know Before Migrating Your Business to the Cloud

What You Need to Know Before Migrating Your Business to the Cloud

Moving to the Cloud might be on every organization’s agenda, but the constant question to ask is, “Are these organizations ready to make a move to the Cloud?” The benefits of the Cloud might be numerous, but every organization needs to be prepped before the move can be successfully made. To get the most out of the move to the Cloud, here are a few necessary steps which need to be performed before moving to the Cloud.

Does the Cloud Have all the Resources to Sustain Your Needs?

The first step is to understand what resources you would need to post your move into the Cloud. During the investigation stage, check what hardware your business already has, and all you would need to move to the Cloud successfully. You need to take into consideration all your applications, web servers, storage possibilities, databases, along with the other necessary components. These days, most businesses are relying heavily on AWS services, along with databases like RDS and NoSQL to do their bidding.

An organization can make use of AWS services like EC2, S3, Glacier, and RDS amongst many other things. This way, one can understand the Cloud and its service options, while there are other ways to understand the different resources available within the Cloud. The idea is to know if these resources are enough for you to manage your deliverables.

Which Applications Go First?

This concept is a crucial factor since an organization can have a series of applications, which need to be migrated to the Cloud. During the migration stage, an organization has an option to push everything in one single instance or migrate slowly and steadily over some time. If you are doing the latter, you might want to identify the most critical applications to be relocated, which might be followed by the rest of the applications. On the contrary, you can try and push those applications which have minimum complexity, and dependencies, so that post-migration, there is minimum impact on production and operations.

How do You Use Scalability and Automation?

The Cloud is well known for its scalability and automation options, amongst other benefits. If you are using AWS, then you will soon understand that you have the opportunity to design a scalable infrastructure, right at the initial stage, which can help support increased traffic, while allowing you to retain your efficiency model. You have the liberty and flexibility to scale horizontally and vertically, depending on the resource availability. These are some excellent discussions which can be looked at, right during the planning stage, as these are primary factors worth considering in the long run.

How does Software Licensing Work?

Software licensing might look like a cake walk, but the reality is far from it. After moving into the Cloud, your software might need some additional licensing, which might not be available as and when you need it; this can be discussed with the Cloud vendor, at the time of negotiations. Licensing might seem like a big step, involving heavy financial budgeting; make sure you speak to your legal and business teams, before finalizing the list of software to be moved to the Cloud.

How Can We Make the Transition?

One has to understand that moving to the Cloud is no simple task. Having said this, it is essential to decide the migration plan, and what all it will entail. There is a lot of critical planning which goes into determining the type of Cloud service to undertake; an organization needs to weigh the pros and cons of each kind of Cloud model, and accordingly make a move. There are three types of Cloud services which are currently prominent: private, public, and hybrid. As per the cost, security needs, and other factors, an organization can narrow down the options and choose the one with the best fit.

What About Training Staff to Work in the Cloud?

While this might seem to be a bit overrated, it’s nonetheless essential to train your staff to work on the Cloud more seamlessly and efficiently. Rest assured, your team would face a few teething issues, considering the exposure to an altogether new environment, which might not seem as conducive in the beginning, as you might want it to be. Identify the teams which will be on-boarded to the Cloud first, and create elaborate training manuals to help the teams move forward and adopt the Cloud to the best possible extent.

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The 5 Best Practices for DevOps Transformation

The 5 Best Practices for DevOps Transformation

DevOps is all about creating a culture where both IT and operations teams can work together. Deriving its roots from the Agile methodology, DevOps involves the use of automated processes to increase the rate of application deployment within organizations. The essential idea behind DevOps is to allow IT teams to work in a more coordinated manner with operational teams.

So how does an organization employ these DevOps principles in a streamlined and organized manner? Here are the five best practices for DevOps transformation, which can help organizations implement DevOps and gain maximum benefits out of its implementation.

Go Simple and Start Small: Experts say that organizations should not try and do everything at the same time. Businesses have an existing set of rules and policies, which can’t be changed overnight — working to make changes in a matter of days will not only become a recipe for disaster, but also not give any results. Instead, to get the most out of DevOps, it is advised to go small. Select a project which can prove to be successful and can bring out the best possible benefits once it is implemented. Some organizations implement changes on a large scale, but this will not always mean that large scale projects are going to be successful. Such projects usually take time for implementation, which means long delays in implementation.

Have a Developed Plan of Action: Each project needs to be well planned, and needs to be implemented appropriately. This way, the mode of implementation can be well defined, realistic milestones can be set, and the tools for implementation and automation can be discussed. Different teams will be involved; each detail will be addressed during the planning stage and mentioned clearly in the plan of action, to make the project a success.

Invest in Automation Technology: DevOps is more about automation; there are a lot of vendors who offer different configuration, monitoring, and automation tools, which can help organizations deploy applications in a much quicker and efficient manner. It’s the world of technology; different technologies can enable the effective use of software, which makes the process of implementing a lot more cost effective and efficient.

Seek Regular Feedback: Feedback is the key to success, especially when DevOps projects are being implemented. When developers and operations teams work together, they need to seek feedback from all involved groups, to plug all gaps, so that implementation is seamless, and on track at all times. This way, companies can meet their deadlines, and implement the logistics of DevOps as planned.

Establish KPIs to Measure Success: Keeping KPIs is an excellent method to understand what’s been achieved, and what’s still pending. This way, organizations can realize their milestones, their progress, and what needs to be resolved. Everything will remain well within limits, as organizations meet their milestones one after another. This way, delays can be managed, and gaps can be addressed with the right feedback from the involved teams. During the KPI discussion stage, ensure that the measures of success are achievable and realistic. As an organization, you don’t want to set KPIs which will prove to be unachievable in the long run.

DevOps is a long term process, and hurrying into DevOps can create a lot of problems for organizations. It’s a philosophy, which is implemented slowly and steadily; it is a movement which can help organizations benefit from the nuances of DevOps.

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How the Internet of Things is Changing the Healthcare Industry

Internet of Things is Changing the Healthcare Industry

Internet of Things (IoT) has transformed many industries in terms of catering and management of services, especially health care industries which have shown remarkable development in treating people. From scheduling doctors appointments to advice on a diagnosis, the sector has gone a long distance in redefining the way things operate. The increasing advancements in technology are consistently applied at every stage in the development of health care industries. From big devices that monitor the health of admitted patients to microdevices that track movements of the human body, IoT has simplified the whole paradigm of health care services.

The sufficient magnitude of services required from the health care industry is also one of the reasons for inviting IoT to the rescue. Drawing facts, we see that the budget for IoT health care services has increased four times from 2017 to 2018. The large number itself is a direct representation of how largely IoT has become a trusted part of the health care industry. Let’s explore below how IoT is changing the health care industry, in more detail.

Health Data Simplified

Earlier, health care industries used to rely on first-hand data as provided by the visitor. With the help of IoT, the person is no longer constrained to produce raw, immediate data with which their prescriptions can be made. Instead, the person only has to use a device such as a wrist band, or an application which will keep track of your body behavior; this data is quantitative, transferable and first hand. Thus, doctors can look at data without the patient being present and form a better analysis of the patient’s situation due to quantifiable and transferable data. The added ease of interpreting data also reduces the gap between the doctor and the patient by connecting them through technology.

Quick Health Decisions

IoT makes it possible for a person to track his/her body behavior; this is done majorly through a wearable device which records precise data of steps, heart rate, air quality, blood flow and so on. With body behavior data, a person can be ahead of diseases by reporting them to a physician when he/she suspects an adverse change. Doing so, the person will always remain ahead of the condition and can reduce his/her chances of illness drastically. IoT devices can also bring in notice the details that are not precisely captured by other equipment. On the whole, the situations are transformed from cure to prevention.

Custom Health Services

With increased control over body behavior data, people can also control what treatment they want. Sometimes, a few conditions don’t require immediate care; in that case, they can choose what services they need immediately. Such customizability was not available in times when IoT could not provide regular data. With the help of IoT, one can decrease the financial pressure as involved in treatments. He/She can selectively opt for services that require attention and ignore that don’t.

Smart Scheduling

IoT makes things very organized when it comes to data storage. A person has to keep a record of various information if he/she wants a birds-eye view of his body behavior. However, maintaining such a tedious data requires sheer organization. With IoT, such an organization comes pre-programmed. This organization has an added benefit of managing your health schedules. You can program the device in such a way that reminds you of your medication cycle, the quantity of medicine to take, days until the next health appointment, and more.

Higher Satisfaction

Due to transparency rendered by IoT devices regarding the body behavior data, it becomes easy both for the doctor and the patient to tackle a particular disease. On the one hand, the patient knows well about his condition and can take custom treatment plans, and on the other, the doctor is better able to treat the patient due to transferable, first-hand data. As a result, both sides are better satisfied.

The importance of IoT varies from industry to industry due to the tasks that can be sanctioned. In general, IoT is needed in almost all sectors including education, municipal planning, automobiles, or even households. IoT in health care serves an altogether different purpose. In other industries, IoT serves as a tool to reach the results, in health care, IoT helps to achieve the beginning of treatments. In other words, the whole process of medication hinges on IoT devices that render actual data.

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Cloud Security Challenges for Enterprises

Why Enterprises Should Adopt a Multi-Cloud Strategy

To expand business reach owners are moving to cloud-based environments where they have the flexibility of choosing the capacity of the cloud based on their relevant requirements. Additionally, the cloud gives you the option of accessing your system files and making adjustments to them anytime, anywhere. In short, the cloud is cheaper, more efficient, and market ready.

However, security has long been a concern for cloud-based services, and this is the reason why some firms still refuse to move their application to the cloud. Some of the leading such challenges are outlined below to help you understand the matter.

Tackling DDoS Attacks

Any enterprise that collects more data becomes prone to malicious attacks. One of the most prominent of these attacks is the Distributed Denial of Service (DDoS) attacks which can cripple a server for hours or even days; these are designed to overload the server with malicious commands that continue running on the server and consume exponential amounts of system ram so that the server doesn’t run smoothly. These attacks may be thwarted if we first take proper measures well in advance, such as deploying DDoS protection that is specifically designed to prevent this attack. Eliminating the possibility of these attacks will help a company restore its compromised wealth, trust, and brand authority.

Avoiding Data Breaches

Another prevalent type of security challenge is data breaches that take within the server; these breaches are mostly external, but sometimes the internal members of the service providers also become a reason for the violation. More than to the customer, a data breach is a threat to the service provider. The service provider has to meet several security compliances and policies. A failure to keep those intact policies results in direct defamation of the brand of the service provider. Therefore, the service providers take proper measures to eliminate those threats and use provider as well as customer lever encryption. Most of the time, the breach happens due to the customer’s improper conduct of sensitive information.

As a necessary security measure, sensitive data on the cloud must be encrypted and given minimal access especially when the cloud is public. Further, choosing the right vendor who gives you added securities such as firewall and software support system would also minimize the probability of a data breach.

Overcoming Data Loss

Another kind of security challenge is tackling data loss from the cloud. Data files can become corrupted in the cloud for several reasons which include improper planning, data mixing, and mishandling. Again, the service provider does not have much space to be responsible for these threats. While maintaining your data, especially the system files, make sure that you close all portals before leaving the session. As a fundamental measure, always keep at least one copy of the data with you, in your drives. The only way you can bring back your data will be that extra copy of the data. It’s very crucial, so make sure you have made the copy.

Strengthening Access Points

One of the actual advantages of the cloud is that it gives you the flexibility of accessing your data from different virtual points. That is, even though your data is primarily stored in one server, you can potentially access it from anywhere else where you have a portal. However, these portals are not always secured sufficiently. To be maintained, security measures require time and funding. Increasing the numbers of access points will invite massive budget imbalance. In such a scenario, the access points not providing sufficient security might fall prey to hackers and cause breaches or loss of data. As a solution, one might want to restrict the numbers of access points so that a proper security model for these access points can be maintained.

Prompt Notifications and Alerts

This challenge sprouts from the multiplicity of access points. As pointed out earlier, we should aim to restrict the numbers of access points. Now, even if a threat arises, it will be easier to locate and eliminate. Additionally, the notification and alerts system will be able to function better, as it won’t seem to spam the notification system. Since the notification system is the cornerstone of your security system, it must be properly maintained—the messages should be prompt, clear, and explanatory. If not kept in such a manner, the notifications won’t make sense to everyone in the company, nor they would be informed in time.

With the right parameters, one can easily tackle these cloud security challenges for an enterprise. Just have the right service provider, technology, and planning by your shoulder to keep the environment running smoothly.

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The Differences Between Cloud and On-Premises Computing

The Challenges of Multi-Cloud Environments

Cloud computing has recently gained popularity due to the grace of flexibility of services and security measures. Before it, on-premise computing was the one reigning the kingdom due to its sheer benefits of data authority and security. The critical difference on the surface between the two is the hosting they provide. In on-premise computing, to host the data, the company uses software installed on company’s server behind its firewall, while with in-cloud computing the data is hosted on a third party server. However, this is only the surface difference—the deeper we dig, the larger the differences become.

Cost

On-Premises: On-premise involves personal authority on both computing and the data—they only are responsible for the maintenance and upgrading costs of the server hardware, power consumption, and space. It’s relatively more expensive than cloud computing.

Cloud: On the other hand, cloud users need not pay the charges of keeping and maintaining their server. Companies that opt for the cloud computing model need to pay only for the resources that they consume. As a result, the costs go down drastically.

Deployment

On-Premises: As the name itself suggests, it’s an on-premises environment, in which resources are deployed in-house on the local server of the company. This company is solely responsible for maintaining, protecting and integrating the data on the server.

Cloud: There are multiple forms of cloud computing, and therefore the deployment also varies from type to type. However, the critical definitive of the cloud is that the deployment of data takes place on a third party server. It has its advantages of responsibility such as the transfer of security and extension space. The company will have all the access to the cloud resources 24×7.

Security

On-Premises: Extra sensitive data is preferred to be kept on-premise due to security compliances. Some data cannot be shared to a third party, for example in banking or governmental websites. In that scenario, the on-premise model serves the purpose better. People have to stick to on-premise because they are either worried or have security compliances to meet.

Cloud: Although cloud data is encrypted and only the provider and the customer have the key to that data, people tend to be skeptical over the security measures of cloud computing. Over the years, the cloud has proved its brilliance and obtained many security certificates, but still, the loss of authority over the data reduces the credibility of their security claims.

Control

On-Premises: As made clear before, in an on-premise model, the company keeps and maintains all their data on their server and enjoys full control of what happens to it; this has direct implications on superior control on their data as compared to cloud computing. But, so might not be entirely accurate because the cloud gives full access to the company’s data.

Cloud: In a cloud computing environment, the ownership of data is not transparent. As opposed to on-premise, cloud computing allows you to store data on a third party server. Such a computing environment is popular among either those whose business is very unpredictable or the ones that do not have privacy concerns.

Compliance

On-Premises: Many companies have to meet compliance policy of the government which tries to protect its citizen; this may involve data protection, data sharing limits, authorship and so on. For companies that are subject to such regulations, the on-premise model serves them better. The locally governed data is stored and processed under the same roof.

Cloud: Cloud solutions also follow specific compliance policies, but due to the inherent nature of cloud computing (i.e., the third party server), some companies are not allowed to choose cloud. For example, although the data is encrypted on the cloud, the government never chooses the cloud because losing authority over their information is direct annihilation of their compliance measures.

Many factors differentiate cloud and on-premise computing. It’s not that one is better or worse than the other, but instead that they have a different set of customers for them. To overcome these hurdles, a new technology, namely Hybrid Cloud, has emerged which takes care of authority issue related to cloud computing through a hybrid deployment of on-premise, public and private cloud.

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Best Practices for Using DevOps in the Cloud

The Challenges of Multi-Cloud Environments

Companies at the frontier of technological evolution recognize how important it is to streamline development processes so that the ever changing requirements of the market can be quickly and efficiently addressed. While the cloud offers automatic scaling to make room for application changes, it is DevOps that makes optimal use of cloud resources. However, even the best practices for DevOps get compromised when the pressure of accelerating the business is heightened.

The fusion of cloud services and DevOps is relatively new; it has posed relevant obstructions in understanding core mechanics and improvising of these mechanics into practical scenarios. What is to follow is a collection of ideas that should be kept in mind while working with DevOps for its best possible implementation in a cloud-based environment.

Training is Essential

The challenges posed by operating evolving technology should be seen as opportunities to formulate generalizations on how to make the best use of the technology. Proper training before implementation works as an investment that will reward your business. Training sessions help employees tackle common obstacles and be prepared for significant events that might occur during execution. If properly mentored, the unit can become independent of future assistance, which will result in minimized errors and maximized precision.

Taking Security Measures

It’s intuitive to acknowledge that the security model in the cloud is not the same as in old data practices; this requires special attention because security is the backbone of your implementation system. When DevOps is introduced into the environment, it should be made sure that each implementation level is complying with the required security measures — automated testing should be deployed and integrated into these levels of the environment.

Choosing DevOps Tools

While choosing DevOps tools, keep in mind that you are selecting a set of tools that are not dedicated to one particular cloud (on demand, on-premise or public). When you restrict your business to a specific cloud, you forfeit the luxury of moving from one cloud to the other depending on your need — this directly interrupts the smooth and optimal deployment of DevOps.

Service and Resource Governance

Ongoing operations in the environment, if not properly governed, might result in clogging of processes. It so happens that lack of governance only comes in notice when you see a multitude of operations becoming impossible to manage. To avoid this scenario, you must build a management system that ensures a smooth and systematic workflow; this is easily achieved through the formulation of a governance infrastructure well in advance. It comprises of features and functions that help in tracking, securing, and managing in-house services.

Automated Testing

In cloud-based environments, application performance issues are often rendered after the application has gone into production. They are not caught before that period because automated performance testing is not implemented within the levels of production. Performance testing helps in preventing poor performing applications from going into production through partial checking at every level of production — this is an essential measure to be taken to ensure better performance and efficient use of resources.

Importance of Containers

Containers give you added flexibility to move the components of an application on an independent basis; you can efficiently manage and orchestrate your applications using these independent containers at intermediate levels. Integrating containers into the DevOps process will make the development processes more manageable. However, containers cannot be implemented into any application, as some applications require a unified application core in development. Know the needs of your application and the standard of this approach.

Cloud computing sees soaring development as soon as DevOps is introduced in the business; however, these soaring developments can be hindered by many unprecedented obstacles. Applying strategies such as maintaining containers, automated testing, and governance, you can cut short those obstacles; this requires expertise; therefore, it is advised that you consider taking the help of field experts whenever necessary. Once you understand the nature of commitment and knowledge needed to implement smooth functioning of DevOps, this component will become an indispensable part of your strategic model.

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Top 5 DevOps Trends to Watch Out for in 2019

Top 5 DevOps Trends to Watch Out for in 2019

DevOps is a well-trodden path, which has been gaining momentum over the past few years. Considering ever-evolving routines, the year 2019 is becoming the year of interest for organizations looking out for DevOps improvements. DevOps has ushered in a wave of new collaboration between different teams, which has led to the creation of an end to end connection across organizational structures.

Given this style of DevOps, there is a seamless connection between the development and operational teams, which has enabled both sets of groups to work as a single unit. Let’s take a look at current DevOps trends that you may wish to look out for in the year 2019.

Automation Through Artificial Intelligence and Data Science: The continuous rise of artificial intelligence and data science has become a game changer to reckon. A majority of applications these days are fueled by AI, which is pushing DevOps teams to look for opportunities within their workflow streams for automation possibilities. Zero-touch automation is the aim for 2019; the idea is to see how much of it can be implemented eventually. As the amount of data being generated by DevOps increases by the day, there are a lot of insights which can be driven through the use of artificial intelligence and big data. Add a layer of machine learning to this mix, and you will have a lot of tools to play around with your data and generate useful insights.

Go Serverless: Serverless computing is not an abstract invention anymore; it has changed the way applications are being developed, tested and operated in today’s scenario. By going serverless, IT companies can scale their workloads in the Cloud, thereby making use of cost-effective solutions. Companies can channel their primary focus on app development, while server provisions are taken care of by Cloud providers and managers — the serverless feature can allow companies to pay for what they use. Going serverless can help organizations achieve business agility, which can add an extra layer of efficiency in the long run. Functions as a service or FaaS will emerge as the next hot commodity in 2019, which will further enable a faster startup time, along with better utilization of resources and advantageous process management. All of these will emerge as benefits, with the use of DevOps software.

Everything as Code: There is no denying the fact that coding has become the backbone of the IT industry now. The future of this industry relies on the technical capabilities of the developers, the testers, and the operation’s people. Since DevOps is all about automation, fewer failure fixes, to facilitate faster delivery cycles, there is an imminent need to bring in code which can be easily versioned and reused to enhance the efficiency of software production cycles. The concept of “Everything as Code,” including Infrastructure as Code, is the underlying practice of DevOps and it can be introduced into the SDLC within 2019 to create ripples in the DevOps world.

Embedded Security is of Utmost Precedence: Security breaches have made organizations take notice of cybersecurity and turning it into a business imperative. Through the implementation of embedded security, greater collaboration can be enabled within the software development processes, making the process efficient, effective, and remarkably seamless. Mainstream DevOps will begin using security as a code, which makes the entire team accountable right from the initiation stage within the development cycle.

Continuous Delivery is the Buzzword: Continuous Delivery is the buzzword garnering a lot of stress as 2019 begins to take control of the DevOps world. The trend has shifted from continuous integration, and slowly heading to consistent delivery. DevOps is taking a more inclusive approach to the world of software development, and it will continue to be ramped up as the days’ progress. To support and maintain this shift more and more companies will adopt tools to handle multiple segments of the continuous delivery process, including those processes which are focused on building, deploying, and releasing the different stages within the software development process.

DevOps is improving with each year, and there is a lot of emphasis being laid on the improvements of processes, which can make the operation of the DevOps even more effective and useful. The concept is no longer new; initiation and carrying forward is what needs to be taken into consideration, to ensure everything is working smoothly as a well-oiled machine.

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