Top 8 Kubernetes Best Practices to Get the Most out of It


With the growth of cloud technology, several enterprises are now aware of the benefits of adopting hybrid and multi-cloud models. However, when shifted between different cloud environments, they face a set of challenges to ensure the applications' reliable performance. Thus, the introduction of the concept of containers in cloud computing comes into action. Containerization is simply the clustering of an application and all its components into a single, portable suite. With containerization rapidly gaining popularity in cloud computing, leading providers, including Amazon Web Services (AWS), Azure, and Google, offer container services and orchestration tools to accomplish container creation and deployment. Based on Forrester's 2020 Container Adoption Survey, about 65% of entrepreneurs are already using or are planning to implement container orchestration platforms as part of their IT transformation approach. Kubernetes is one of the most known and future-ready, portable container orchestration platforms developed by Google. It is a scalable, reliable, robust, and secured platform, which can manage and accommodate high traffic for cloud applications and microservices. For optimal performance, implementing Kubernetes best practices and following a tailored configuration model is significant to ensure the optimal platform efficiency your enterprise requires.

This article will highlight the top eight best practices of Kubernetes that will help you orchestrate, scale, control, and automate your enterprise applications. But before we start, let us know the basic concept of Kubernetes. 

What is Kubernetes?

Kubernetes (a.k.a. k8s or "Kube") is Google's open-source container management platform spanning public, private, and hybrid clouds that automates numerous manual processes involved in scaling, deploying, and managing the containerized applications. Kubernetes is an ideal platform for hosting cloud-native applications that require quick scaling, like real-time data streaming through Apache Kafka. In simple words, you can cluster together groups of hosts running Linux containers, and Kubernetes supports you in managing those clusters quickly and efficiently. Gartner forecasts that worldwide container management revenue will grow sturdily from a small base of $465.8 million in 2020 to register $944 million by 2024. It seems that the popularity of Kubernetes across the enterprises will make the forecast achievable.

Using Kubernetes, outsourcing the data centers to public cloud service providers, or providing web hosting to optimize software development processes can become manageable. Moreover, website and mobile applications with intricate custom codes can deploy Kubernetes on their product hardware for a cost-effective solution. Moreover, it helps you completely implement and trust a container-based infrastructure in production environments, where you need to manage the containers that run the applications and ensure zero downtime. For example, if a container goes down and another container needs to start, Kubernetes handles the situation with its distributed system framework efficiently. 

Reasons Behind the Popularity of Kubernetes Strategy

Kubernetes is in the headlines, and we hear about it on social media or at user groups and conferences. So, what is the reason behind its popularity? According to the Kubernetes service providers, it has become the standard for container management platform as it offers several advantages:
  • Scalability: It offers easy scalability of the containers across many servers in a cluster through the auto-scaler service, thereby maximizing resource utilization with a simple command, with a UI, or automatically based on CPU utilization.
  • Flexibility: The flexibility of Kubernetes expands for applications to operate consistently and efficiently irrespective of the complexity of the requirement.
  • Storage Orchestration: The open-source attribute of Kubernetes gives you the liberty to take advantage of storage orchestration from different cloud environments and shift the workloads effortlessly to their destinations.
  • Automation: Using Kubernetes, you can automatically place containers as their resource requirements without any availability concerns. It helps to combine critical and best-effort workloads, to drive the utilization and save resources.
  • Health-Check and Self Heal: Kubernetes allows you to perform the health-check and self-heal your containers with auto-replacement, auto-restart, auto-replication, and auto-scaling properties. 
  • Reliability and Security: Kubernetes offers tolerance and clustering of significant errors, bringing stability and reliability to the project. Built-in data encryption, vulnerability scanning, etc., are some of the services of Kubernetes that enhance its security aspect.
  • Self-discovery: Kubernetes allows self-discovery by providing their IP address to the containers and providing a single DNS name to a group of containers.
  • Roll Out and Roll Back Automation: Kubernetes gradually rolls out changes to your application or its configuration while monitoring the application's health to ensure it does not kill all your instances at the same time. Kubernetes rolls back the changes in case of any discrepancy.

8 Kubernetes Best Practices for Efficient Deployment

According to Red Hat's "The State of Enterprise Open-Source Report," 85% of the interviewees agree that Kubernetes is the key to cloud-native application strategies. Kubernetes has evolved from the code that Google used to manage its data centers at scale. Nowadays, organizations use Kubernetes for complete data center outsourcing, web/mobile applications, SaaS support, cloud web hosting, or high-performance computing. For any platform to operate and perform at its optimum capacity, there are certain best practices that you should consider. In this article, we will discuss a few of the best practices of Kubernetes that can improve the efficiency of your production environment.

Use The Latest Version and Enable RBAC

Kubernetes releases new features, bug fixes, and platform upgrades with its consistent version update. As a rule, you must always use the latest version to make sure that you have optimized your Kubernetes. By upgrading to the newest release, you will get technical support and a host of advanced security features to control the potential threats while fixing reported vulnerabilities.

Enabling RBAC (Role-Based Access Control) will help you control access and admittance to users and applications on the system or network. The introduction of RBAC in the Kubernetes 1.8 version helped to create authorization policies using API group. It allows Kubernetes to permit access to the user, add/remove approvals, set up regulations, etc.

Organize With Kubernetes Namespaces

A namespace is a kind of virtual cluster that helps your Kubernetes environment organize, secure, and perform. Thus, it can be considered one of the Kubernetes best practices that enables you to create logical partitions and apply separation of your resources and restrict the scope of user permissions. Thus, you can use it in a multi-user environment spanning multiple teams or projects.

Namespaces cannot be nested inside one another, and each Kubernetes resource must be in its own unique namespace. However, it is not essential to use multiple namespaces to distinguish slightly unlike resources, such as different releases of the same software: use labels to separate resources within the identical namespace.

Consider Small Container Images

Using base images may include the unnecessary inclusion of additional packages and libraries. Hence it is significant to use smaller container images as it helps you to create a high-performing platform quickly. As one of the Kubernetes best practices, you can consider Alpine Linux Images, which are much smaller than the base images. Alpine Images have access to a package repository that has necessary add-ons. You can add essential packages and libraries for your application as required. Smaller container images are also less vulnerable to security threats as they have lesser attack surfaces.

Setting Up Health Checks

Managing extensive distributed systems can be complex, especially when things are not running perfectly. The primary reason for the complication in the distributed system is that multiple operations work together for the system to function. So, in case of any discrepancy, the system has to identify and fix it automatically. Kubernetes health checks are simple ways to ensure that application instances are working.

Health checks are the effective Kubernetes best practices to analyze whether your system is operational or not. If an instance is non-operational or failed, then other services should not access or communicate with it. As an alternative, the system can divert the requests to some other ready and operational instances. Moreover, the system should bring your app back to a healthy state. Kubernetes provides you two types of health checks, and it is significant to recognize their differences and utilities.

Readiness probes allow Kubernetes to identify whether the application is ready to serve the traffic before permitting the traffic to a pod (most miniature Kubernetes objects). It fundamentally shows the availability of the pod to accept the workload traffic and respond to requests. In case the readiness probe fails, Kubernetes halts the traffic towards the pod until it is successful. 

The liveliness probe allows Kubernetes to perform a health check to verify whether the application operates as desired. In case it fails, Kubernetes removes the pod and initiates its replacement.

Setting Kubernetes Resource Usage (Requests and Limits)

Kubernetes uses the process requests and limits to control resource usages such as CPU and memory. If a container requests a resource, Kubernetes will only map the schedule on a node to provide the requested resource. Whereas limits help to make sure a container never goes beyond a specific request value. The container will be automatically restricted if it goes beyond the limit. 

To get a total resource value of Kubernetes pods (usually available in a group) comprising one or multiple containers, you need to add the limits and requests for each container. While your Kubernetes cluster might be operational without setting the resource 'requests and limits', you will start getting stability issues as the workloads start scaling. Adding 'requests and limits' will help you to get the optimal benefit of Kubernetes.

Discovering External Services on Kubernetes

If you want to discover and access the services living outside your Kubernetes cluster, you can do it by using the external service endpoint or Config Maps directly in your code. Even if you are unwilling to identify those today, there can be a compulsion to do so tomorrow. Mapping your external services to the internal ones will enhance the flexibility to transmit these services into the cluster in the future while reducing recoding efforts. Additionally, it will help you to easily manage and understand the external services your organization is using.

Database Running- Whether to consider or not?

Running a database on Kubernetes can get you some benefits regarding the automation Kubernetes provides to keep the database application active. However, it would help if you analyze them before you start. There can be failure incidents because the pods (database app containers) are susceptible to letdowns compared to a traditionally hosted or fully managed database. Databases with concepts like sharing, failover elections, and replication built into its DNA will be easier to run on Kubernetes. 

Thus, simple questions like the following will help to draw a Kubernetes strategy to consider whether to run a database or not.
  • Are the features of the database Kubernetes-friendly?
  • Are the workloads of the database compatible with the Kubernetes environment?
  • What is the limit of the Ops workload acceptable in the Kubernetes environment?
If the answers to all the questions are affirmative, your external database is ready to run on the Kubernetes environment. Otherwise, you should consider other platforms such as managed DB or VM. 

Termination Practices

Addressing failures is inevitable in distributed systems. Kubernetes helps in handling failures by using controllers that can keep an eye on the state of your system and restart the halted services. However, Kubernetes can also often compulsorily terminate your application as part of the regular operation of the system. It can terminate Kubernetes objects for various reasons because enabling your application to handle these terminations efficiently is essential to create a steady plan and provide a great user experience.

Winding Up

The CNCF survey report 2020 highlights the progressive inclination towards adapting the Kubernetes platform. The survey received 1324 responses inferred in 2020, where 91% of respondents report using Kubernetes, 83% of them are in production, showing a steady upsurge of 78% from last year and 58% in 2018. Adhering to the Kubernetes best practices will provide you an opportunity to take your production environment to the next level and meet the business requirements. In addition, it will have a positive impact on the Kubernetes market size.

Several top marketers and service providers are doing their best to ensure their customers get the desired benefits for Kubernetes deployment in production. Moreover, they also pitch for services on Kubernetes and allow businesses to gain the most out of it. In the latest interview with Media 7, Red Hat's Director of Product Marketing, Irshaad Raihan says, "We look to inspire great ideas and help our customers reach for the impossible. Once we have buy-in into the "why," we arm customers with the most relevant data points to help them make a purchase decision around product and vendor."


What exactly is Kubernetes?

Kubernetes is an open-source, portable, and scalable platform for container orchestration, automating several manual tasks for managing the containerized workloads. Kubernetes allows clustering running Linux containers and supports managing those clusters quickly and efficiently.

Why is Kubernetes so popular?

Kubernetes has become one of the efficient container management systems as it offers several advantages, such as easy scaling of the containers across many servers in a cluster. It helps in the easy movement of workloads between different types of environments. It also offers high error tolerance, which contributes to the stability and reliability of the workload and has built-in security tools that provide enhanced safety to the platform.

What is an example of Kubernetes?

One of the most popular Kubernetes use cases is the popular game Pokemon Go. Niantic Inc. was the developer and witnessed more than 500 million downloads with 20 million active users every day. Pokemon Go's parent company was not expecting this kind of traffic. As an advanced solution, they opted for Google Container Engine powered by Kubernetes.

Where is Kubernetes used?

You can use Kubernetes to manage microserver architecture. Kubernetes simplifies various facets of running a service-oriented application infrastructure. For instance, it can control the allocation of resources and drive traffic for cloud applications and microservices.


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Emind - Your Cloud Experts is an AWS Premier Partner and Managed Service Partner as well as Google for Work Premier Partner. We are a global leader in migrating and deploying startups, enterprises and everything in between to the cloud.


Will Multi-cloud Strategy Be a Preferred Option?

Article | March 26, 2022

What Is a Multi-cloud Strategy and How Is It Different from Other Cloud Strategies? Long gone are the days of storing data on expensive data centers. Organizations are now rightfully leveraging the features offered by cloud computing. However, for organizations that use cloud services across numerous geographies, associating with just one cloud service provider to meet their needs is a struggle. This is where organizations opt to utilize a multi-cloud strategy. Most enterprise adopters of public cloud services use multiple providers. This is known as multi-cloud computing, a subset of the broader term hybrid cloud computing. In a recent Gartner survey of public cloud users, 81% of respondents said they were working with two or more providers. According to Michael Warrilow, VP Analyst, Gartner, the dominance of mega vendors in the public cloud services market is the main reason enterprise buyers choose multiple cloud providers. Multi-Cloud vs. Single Cloud According to Forbes, a typical organization would ideally use six cloud computing services. There is a general notion that a single cloud is a better and more effortless strategy to orchestrate. It is only when organizations add multiple clouds to their existing infrastructure in a haphazard manner that it can lead to chaos and trouble in maintenance. Multi-Cloud vs. Hybrid Cloud A hybrid cloud infrastructure blends two or more different cloud models, whereas a multi-cloud blends other clouds of the same kind. Since all cloud providers don’t have the same offerings, organizations must adopt a multi-cloud strategy to deliver best-in-class IT services. Multi-cloud infrastructure enables businesses to maintain a hybrid cloud environment that provides security and cost benefits at the same time. The most secure workloads are kept in the private cloud, while typical corporate data and apps are run on less expensive public cloud networks. What Is the Need for a Multi-cloud Strategy? With several major cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform, organizations can utilize the advantages of each platform for their own functioning using a multi-cloud architecture. This helps organizations be independent of just one cloud service provider. According to Rightscale’s 2016 State of the Cloud Report, companies use an average of 3.6 different public clouds. It’s not always on purpose. In some organizations, multi-cloud happens by accident. The marketing team decides to use AWS while the HR department, operating in its silo, deploys Azure. And there you have it: a multi-cloud environment. There are several other benefits that an organization can utilize. Some of the most common pros of multi-cloud platforms are: Reduced risk of vendor lock-in and single-vendor dependency Availability of the latest services that suit your business needs Business continuity and disaster recovery Workload optimization Reduction in time-to-market Agility in addressing the latest business needs Challenges of Multi-cloud Approach Even though a multi-cloud approach is significantly advantageous, there are still certain downsides that organizations face while implementing their multi-cloud strategy. Exploring the top four challenges of the multi-cloud approach: Management Complexity With multiple cloud environments, management tasks become more complex. The core issue is the diversity of cloud vendors. Every public cloud vendor has its own portal, APIs, and unique processes for managing their environment. Talent Scarcity One of the significant challenges organizations face while deploying their multi-cloud strategy is the lack of resources with the mastery of managing specific cloud platforms. With supply being scarce, this would mean battling the tight labor market along with rapidly changing technologies. Because of this, organizations will have to rely on service providers who know how to work with multiple cloud systems to fill in the gaps. Cost Control Among other benefits, multi-cloud provides data administrators the ability to quickly deploy applications in the cloud environment of their choice. Unfortunately, the billing process can sometimes become troublesome when organizations implement a multi-cloud strategy. Governance, Compliance and Security Concerns Even though cloud service providers offer robust security architecture and protocols, it is eventually the organization’s responsibility to secure their data in all their cloud and on-premise environments, What Is the Future of Multi-cloud Infrastructure? All cloud services are prone to some failure at any given point and even though this statement is technically correct, there has been tremendous development in cloud computing that caters to such issues. Therefore, for organizations that wish to grow exponentially with the least possible hurdles, the best available option is implementing a multi-cloud strategy. When an organization uses a multi-cloud strategy, it empowers them to distribute their workloads across multiple cloud environments while mitigating any risk associated with individual cloud environments. This alone justifies the widespread growth and adoption of multi-cloud architecture solutions in the future. Some points that define the multi-cloud platform as the future of an organization are: Optimized ROI Superior Security Low Latency Autonomy Less Prone to Disaster Conclusion The use of a multi-cloud strategy alone now provides organizations with a significant competitive advantage. There are new tools that also help you monitor usage, performance, and costs across a multi-cloud environment. This also helps bring intelligence and automation to your multi-cloud approach. This enables your organization to efficiently and cost-effectively leverage multiple cloud infrastructures without having to change applications or operating systems. FAQ Q1: What Is the Difference Between Multi-cloud and Hybrid Cloud? Both multi-cloud and hybrid clouds are deployment models wherein you use more than one cloud. The core difference is that a hybrid cloud blends two or more different types of clouds, while a multi-cloud blends other clouds of the same kind. Q2: What Is the Purpose of Multi-cloud? A multi-cloud strategy allows stakeholders to pick and choose specific cloud solutions that would work best for their organization. When diverse business needs arise, organizations can allocate resources to different cloud providers, maximize those resources, and only pay for what they use. Q3: What Is the Most Important Aspect of Deploying a Multi-cloud Strategy? By effectively deploying a multi-cloud strategy, there are multi-cloud access layers that are deployed. This is a crucial layer of the multi-cloud network because it ensures that the cloud is securely accessible by all business components.

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Cloud Computing Vs. Edge Computing

Article | March 21, 2022

Understanding the Difference While talking aboutedge computing vs cloud computing, the first and foremost aspect that one must understand is that these components are entirely different and non-inter changeable. Therefore, one cannot simply replace the other in any circumstance. Edge Computing Edge computing is ideally known as a distributed computing framework that brings the enterprise closer to data sources such as the IoT and local edge servers. Edge computing is used to process time-sensitive data. By placing the computing services closer to the location, users can effectively benefit from faster, more reliable services. Edge computing is also a constructive way for a company to use and share resources across a lot of different places. Cloud Computing Cloud computing can ideally be termed as a platform where resources like compute, storage, and networks can be flexibly used depending upon specific workloads in a highly virtualized manner to fulfill the requirements of modern-day workloads. As a result, organizations can now leverage cloud computing rather than having to invest in hardware themselves and function on-demand effectively. What Is the C-suite Preference? Cloud computing’s central idea of offering centralized data sources that can be accessed from anywhere in the world is typically the complete opposite of edge computing’s local data handling concept. Even though cloud computing plays an essential role, the possibilities offered by edge computing to leverage the IoT.Edge computing efficiently process data they gather closer to the source and arenow asking organizations to reconsider their view ofIT infrastructure. Advantages of Edge Computing The exponential rise of IoT devices emphasizes a shift in how businessescollect and analyze data. While organizations use content delivery networks to decentralize data and service requirements by copying data closer to the user, edge computing uses smart devices, phones, or even network gateways to conduct tasks on behalf of the cloud, ensuring computing power is brought closer to the users. Some of the most renowned advantages of edge computing: Speed Security Scalability Versatility Reliability In 2015, Google Scholar had just 720 new publications relating to edge computing; by 2020, that number had increased to almost 25,000. The number of edge patent filings follows a similar pattern: there were 6,418 edge computing patent filings in 2020, more than a hundred times the number in 2015. Advantages of Cloud Computing The back and forth movement of data from the point where it is created to central servers for processing and then to the end-user requires a lot of bandwidth. The benefits of cloud computing are: Flexibility Consistency Low cost Mobile accessibility Maintenance Cloud computing is a great euphemism for centralization of computer services under one server.” EvgenyMorozov, American writer and researcher Detailed Analysis of the Cons Edge Computing Even though edge computing facilitates more opportunities for data processing and storage at a localized level, some regions are prone to disadvantages when it comes to implementation. Numerous areas will also face a lack of skilled IT professionals who are crucial in launching and managing the local edge network’s devices. With the vicious circle of limited network capacity, building sophisticated network models with diminished network infrastructure would be the ideal way to begin. Some of the cons have been highlighted below: Geographic inequalities Trouble preventing and monitoring security breaches Loss of data with potential energy Cost and storage implementation requirements Cloud Computing Despite the hype around flexibility in cloud computing in the IT world, there are still some disadvantages to cloud computing that users might come across, especially during smaller operations. Some of the cons have been listed below: Cloud security and data theft Cloud downtime Limited control Vendor lock-in Who Wins the Race? Traditionally, cloud computing has emphasized centralized cloud services divided into a handful of large data centers. This centralization allowed the resources to be highly scalable and sharable while maintaining control and security. Edge computing looks to address those use cases that cannot be adequately addressed by the centralization process, often because of networking requirements and other constraints. Several observers believe that in the debate between edge computing vs cloud computing, edge computing will eventually supersede cloud computing as computing, in general, will become decentralized, and the need for centralization will diminish. But because their duties are very different from one another, this scenario is implausible. Conclusion Edge cloud computing devices are built to accurately capture and process data on-site and analyzeitin real-time. This is not predominantly concerned with data storage. Whereas cloud computing is built on infrastructure and can be quickly expanded to meet the requirements of your workloads. So, ideally speaking, edge computing is appropriate for applications where each millisecond matters, and cloud computing is best for non-time-sensitive applications. FAQ What Is the Primary Difference Between Cloud Computing and Edge Computing? The primary difference between cloud computing and edge computing is that edge containers are situated at the edge of a network, near the data source. In contrast, cloud containers operate from a data center. Will Edge Computing Completely Replace Cloud Computing? This is a highly unlikely scenario where edge computing would replace cloud computing. There is always going to be aneed for centralized processing and storage. Edge computing would cover some of the shortcomings of cloud computing, instead of replacing it. Is Edge Computing the Future? A recent report by Market sand Markets predicted that the edge computing market will grow from $36.5 billion to $87.3 billion from 2021 to 2026.

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Impact of Cloud Computing in Changing Management

Article | March 15, 2022

Constantly evolving with growing technology and the market's needs makes an organization dynamic. Several companies have made significanttech changes to accommodate the ever-changing working environment. Resourceful computing has been a blessing to organizations as it helps them better manage themselves. Impact of Cloud Computing Cloud-based technology is an aspect that has constantly come up with innovative ways for organizations to perform better and more efficiently. It also accommodates the remote working requirements of employees. All operations, including management processes, are now shifting to the cloud. Cloud computing has been offering a wide range of options, even for managerial purposes. At present, around 94% of enterprises are already using a cloud service. In a way, it is also changing the landscape of management. Understanding How Cloud Computing Is Changing Management Cloud computing for businesses has allowed them to move massive amounts of data in a short period of time. It is fair to say that cloud computing management has fundamentally changed how we communicate and work. This has paved the way for an entirely new level of expectations, where organizations make the most of the benefits of the services provided by the cloud. Facilitates Faster Change Processes Cloud computing business models are specifically designed and built to facilitate speed when change is required. Cloud-based technology ensures that components and licenses are available on demand. As a result, by using only a few clicks and operations, inculcating change has become fast and straightforward. It also has a feature called auto-scaling, which means that capacity can be increased automatically and on demand. Shift from Control to Enablement Agile and DevOps have become the mainstay of solution development in the cloud; change management needs to move from control to enablement. New approaches like these are entirely self-managed and repel any attempt to impose bureaucratic power, which is a hallmark of change management. Cloud-based technology works towards de-risking numerous changes. Adopting the cloud computing business model means that change management should focus on leveraging capabilities and emphasizing change models. Historically, it has been seen that in the world of information technology, the main changes in management are influenced by the changes in the ways of gathering information. In the age of cloud computing, information is traveling in both directions at a great speed across computing systems, and possibilities like virtualization, scaling up or down for handling bigger workloads, or automated security patching across thousands of computers are far more flexible in nature. This demands a more flexible organizational structure that can respond to customer needs by adjusting itself. This flexible system depends on rapid data collection, analysis, and over-the-air changes to product software if required. Change Authority's Need to Adjust Traditionally speaking, several change authorities are dependent on the type of change that would be implemented. For example, a crucial difference like cost and risk would go to the board for approval, whereas a low-level change might require the data center manager's approval. To speed things up in the cloud environment, product and infrastructure teams need to prioritize and decide on changes first. With the cloud, individuals and small businesses can snap their fingers and instantly set up enterprise-class services.” Roy Stephan, Founder, and CEO, PierceMatrix. How Does Cloud Computing Management Redefine Business Functioning? The cloud computing business model helps organizations understand future processes. It presents an excellent opportunity to identify the impact of change that deployment will have on the organization at a very early stage of the project. Organizations can compare the impact of changes across various application platforms and factor this input into their software selection process. Early understanding of change impacts and delay elements also allows businesses to define project scope better and address their present challenges. The steps mentioned below will help your organization effectively start to manage change. Capture and analyze the effects of change Determine the degree of difficulty of the change Create the OCM roadmap, resources, and budget Conclusion Actionable insights are critical for pivoting the company in new directions as it responds to market changes. As a result, organizations that want to shift their business to the cloud must think carefully about their options and implementation strategies. FAQ How Can Cloud Computing for Business Change Management? Cloud environments also facilitate a wide range of automation, integration, and deployment tools. These tools allow organizations to make small, frequent changes that can reduce business risk and introduce business value at an increased rate. What Are the Considerations for Change Management in the Cloud? There are three considerations for change management in the cloud: Cloud environments facilitate faster change processes New solution development approaches require a shift from control to enablement Change authorities’ perspectives need adjusting What Are the Benefits of Cloud Computing for Management? The benefits of cloud computing for management are: Organizing and planning Product development and customer experience Controllability

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Importance of an Effective Cloud Disaster Recovery Strategy

Article | March 11, 2022

What Is Cloud Disaster Recovery? To understand cloud disaster recovery, one must know what disaster recovery is. As the name suggests, it has everything to do with the aftermath of a disaster. Ideally, disaster recovery is the process where organizations prepare for disasters and are fully equipped to recover from them. Therefore, it is undoubtedly an integral part of any business and helps maintain business continuity for any organization. In addition, disaster recovery is focused on securing an organization’s assets. Hence, cloud disaster recovery plans are a group of procedures and measures that ensure an organization is functioning smoothly with the help of dedicated cloud service providers. Understanding Why Cloud Disaster Recovery Is Important Business continuity is an essential component for every functioning organization. A business that has a break in functioning due to a disaster can hamper almost everything. This is precisely where a cloud disaster recovery plan comes into action. Using the amount of flexibility available, cloud technologies vastly aid in efficient disaster recovery, irrespective of the intensity of the workloads. With data being stored in a secured cloud environment that is curated to provide high availability, managing and setting it up isn’t a humongous task. The possibility of your business being affected by a disaster is never too small, and with the current rise in cyber-crime, is it worth the chance? Disaster recovery in cloud computing can help your business deal with ransomware, cyber-attacks, and other such disasters. These are threats that have the potential to completely destroy your files and present your business with a painful downtime. Most organizations know the value and importance of having an effective disaster recovery plan, and if you don’t have one in place yet, you already have a late start. But it’s never too late to implement effective disaster recovery strategies and benefit from cloud-based solutions. Understanding cloud disaster recovery benefits: Offers great flexibility Drastically reduces downtime Provides reliability Ensures simplification and efficiency Easy to deploy Highly cost-effective How to Formulate an Effective Cloud Disaster Recovery Strategy? With the help of cloud computing, disaster recovery has ideally become just another task that can be taken care of using some simple steps. Before formulating a cloud disaster recovery plan, it is suggested that you look into all the possible threats that might affect your organization. In the event of a disaster, you can figure out how much money will be needed and where your infrastructure is at risk by taking into account all the risk factors. To effectively formulate a cloud disaster recovery strategy, it is best to follow the steps below: Outline your possible risks and understand your infrastructure Conduct a business impact analysis Parameters of assessment: Recovery Time Objective (RTO) Recovery Point Objective (RPO) Establish a disaster recovery plan based on your RTO and RPO Choose the right cloud partner Focus on building your cloud disaster recovery infrastructure Standardize your disaster recovery plan on paper Constantly test your disaster recovery plan As data security becomes more important, the global disaster recovery cloud services market has increased dramatically. It is predicted to grow from $4.35 billion in 2019 to $23.3 billion in 2027.88% of enterprises say the public cloud will play a role in their backup plans in the future. Factors to Weigh While Assessing the Ideal Cloud Partner Strategic cloud disaster recovery assessment and planning is something that not everyone can take up.Also, why stress on this when you can engagewith a provider with great experience. The right cloud partner should ideally help you conduct a thorough business impact analysis to aid in the familiarization of the potential operational limitations you would encounter during a disaster. Hence, choosing a cloud partner who is intelligent, pragmatic, and solution-oriented should be of the utmost priority. Such a cloud partner will have all the necessary tools and help you carry out a better assessment of the potential danger to your data. While formulating the cloud disaster recovery plan, keep in mind: Design your strategy according to your recovery goals Implement control measures Prepare your software Implement your security and compliance controls Use cloud storage as your daily backup routine Conclusion In today’s age and time, disaster recovery should be a priority for every organization. While some calamities are unforeseen and highly impactful, successful organizations are always the ones that are capable of getting back up, and this is exactly where a cloud disaster recovery plan comes into action. Once you have assessed every aspect of your recovery strategy, you’d only have to pick the service provider who’s capable of implementing your requirements seamlessly. Once you have all these points in place, your business will be well equipped for almost any possible disaster. Make ‘business continuity’ ‘business as usual’ and imbed it into your management routines as decisions are made, instead of an afterthought check off the box exercise later.” Bobbie Garrett FAQ What Is a Cloud Disaster Recovery Plan? Cloud-based recovery plans help the organization recover its critical systems after a disaster and also provideremote access to your system using a secure virtual environment. Why Is a Cloud Disaster Recovery Plan Essential? When an organization does not have an effective disaster recovery plan, it puts the organization at risk of high financial costs, reputation loss, and an even greater risk of losing clients and customers. What Are the Benefits of Having an Effective Cloud Disaster Recovery Strategy? Using a cloud disaster recovery strategy, organizations can benefit from: Cost efficiency ncrease employee productivity Greater customer retention

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Emind - Your Cloud Experts

Emind - Your Cloud Experts is an AWS Premier Partner and Managed Service Partner as well as Google for Work Premier Partner. We are a global leader in migrating and deploying startups, enterprises and everything in between to the cloud.