Security in the Cloud: How to Enhance it Using Security Controls?

Traditional IT security is no longer what we’ve known it to be for the past few decades. There is a massive shift to cloud computing that has changed how we see and perceive IT security. We have grown accustomed to the ubiquitous cloud models, their convenience, and unhindered connectivity. But our ever-increasing dependence on cloud computing for everything also necessitates new and stricter security considerations.

Cloud security, in its entirety, is a subset of computer, network, and information security. It refers to a set of policies, technologies, applications, and controls protecting virtual IP addresses, data, applications, services, and cloud computing infrastructure against external and internal cybersecurity threats.

What are the security issues with the cloud?

Third-party data centers store the cloud data. Thus, data integrity and security are always big concerns for cloud providers and tenants alike. The cloud can be implemented in different service models, such as:

  • SaaS
  • PaaS
  • IaaS

And deployment models such as:

  • Private
  • Public
  • Hybrid
  • Community

The security issues in the cloud fall into two categories. First, the issues that cloud providers (companies providing SaaS, PaaS, and IaaS) face. Second, the issues faced by their customers. The security responsibility, however, is shared, which is mentioned in the cloud provider’s shared security responsibility or shared responsibility model. This means that the provider must take every measure to secure their infrastructure and clients’ data. On the other hand, users must also take measures to secure their applications and utilize strong passwords and authentication methods.

When a business chooses the public cloud, it relinquishes physical access to the servers that contain its data. Insider threats are a concern in this scenario since sensitive data is at risk. Thus, cloud service providers do extensive background checks on all personnel having physical access to the data center’s systems. Data centers are also checked regularly for suspicious behavior.

Unless it’s a private cloud, no cloud provider stores just one customer’s data on their servers. This is done to conserve resources and cut costs. Consequently, there is a possibility that a user’s private data is visible or accessible to other users. Cloud service providers should ensure proper data isolation and logical storage segregation to handle such sensitive situations.

The growing use of virtualization in cloud implementation is another security concern. Virtualization changes the relationship between the operating system and the underlying hardware. It adds a layer that needs to be configured, managed, and secured properly. 

These were the vulnerabilities in the cloud. Now let’s talk about how we can secure our cloud, starting with security controls:

Cloud Security Controls

An effective cloud security architecture must identify any current or future issues that may arise with security management. It must follow mitigation strategies, procedures, and guidelines to ensure a secure cloud environment. Security controls are used by security management to address these issues.

Let’s look at the categories of controls behind a cloud security architecture:

Deterrent Controls

Deterrents are administrative mechanisms used to ensure compliance with external controls and to reduce attacks on a cloud system. Deterrent controls, like a warning sign on a property, reduce the threat level by informing attackers about negative consequences.

Policies, procedures, standards, guidelines, laws, and regulations that guide an organization toward security are examples of such controls.

Preventive controls

The primary goal of preventive controls is to safeguard the system against incidents by reducing, if not eliminating, vulnerabilities and preventing unauthorized intruders from accessing or entering the system. Examples of these controls are firewall protection, endpoint protection, and multi-factor authentication like software or feature implementations. 

Preventive controls also consider room for human error. They use security awareness training and exercise to address these issues at the onset. It also takes into account the strength of authentication in preventing unauthorized access. Preventative controls not only reduce the possibility of loss event occurrence but are also effective enough to eliminate the system’s exposure to malicious actions. 

Detective Controls

The purpose of detective controls is to detect and respond appropriately to any incidents that occur. In the event of an attack, a detective control will alert the preventive or corrective controls to deal with the problem. These controls function during and even after an event has taken place. 

System and network security monitoring, including intrusion detection and prevention methods, is used to detect threats in cloud systems and the accompanying communications infrastructure.

Most organizations go as far as to acquire or build their security operations center (SOC). A dedicated team monitors the IT infrastructure there. Detective controls also come equipped with physical security controls like intrusion detection and anti-virus/anti-malware tools. This helps in detecting security vulnerabilities in the IT infrastructure.

Corrective Controls

Corrective control is a security incident mitigation control. Technical, physical, and administrative measures are taken during and after an incident to restore the resources to their last working state. For example, re-issuing an access card or repairing damage are considered corrective controls. Corrective controls include: terminating a process and implementing an incident response plan. Ultimately, the corrective controls are all about recovering and repairing damage caused by a security incident or unauthorized activity.

Here are benefits of selecting a cloud storage solution.

Security and Privacy

The protection of data is one of the primary concerns in cloud computing when it comes to security and privacy.

Millions of people have put their sensitive data on these clouds. It is difficult to protect every piece of data. Data security is a critical concern in cloud computing since data is scattered across a variety of storage devices. Computers, including PCs, servers, and mobile devices such as smartphones and wireless sensor networks. If cloud computing security and privacy are disregarded, each user’s private information is at risk. It will be easier for cybercriminals to get into the system and exploit any user’s private storage data.

For this reason, virtual servers, like physical servers, should be safeguarded against data leakage, malware, and exploited vulnerabilities.

Identity Management

Identity Management is used to regulate access to information and computing resources.

Cloud providers can either use federation or SSO technology or a biometric-based identification system to incorporate the customer’s identity management system into their infrastructure. Or they can supply their own identity management system.

CloudID, for example, offers cloud-based and cross-enterprise biometric identification while maintaining privacy. It ties users’ personal information to their biometrics and saves it in an encrypted format.

Physical Security

IT hardware like servers, routers, and cables, etc. are also vulnerable. They should also be physically secured by the cloud service providers to prevent unauthorized access, interference, theft, fires, floods, etc. 

This is accomplished by serving cloud applications from data centers that have been professionally specified, designed, built, managed, monitored, and maintained.

Privacy

Sensitive information like card details or addresses should be masked and encrypted with limited access to only a few authorized people. Apart from financial and personal information, digital identities, credentials, and data about customer activity should also be protected.

Penetration Testing

Penetration testing rules of engagement are essential, considering the cloud is shared between customers or tenants. The cloud provider is responsible for cloud security. He should authorize the scanning and penetration testing from inside or outside. 

Parting words

It’s easy to see why so many people enjoy using it and are ready to entrust their sensitive data to the cloud. However, a data leak could jeopardize this confidence. As a result, cloud computing security and privacy must build a solid line of protection against these cyber threats.

If you’re overwhelmed with the sheer possibilities of threats in cloud computing or lack the resources to put in place a secure cloud infrastructure, get on a call with us for a quick consultation. 

The Future of Cloud Computing: How Will Cloud Look Like in 2025

The Internet changed the way we communicate, share information, handle money transactions, and do shopping. Another defining change that the internet has facilitated is how we store information. Earlier, network servers were locked in secure rooms with only a few people having access to them. The internet and cloud computing decentralized the data. Data is now available through apps and cloud storage services while ensuring security and privacy. 

Cloud technology is among the recent and emerging technology services along with AI, IoT, Edge and Quantum computing. The cloud paved the way for businesses to grow and innovate. We already discussed the ways to scale in the cloud in one of our previous articles. But what do you think the future has in store for cloud computing? 

Cloud computing by 2025!

Today, the cloud is merely a technology platform for most businesses. By 2025, this perspective will change with all the companies adopting a cloud-first principle. Cloud will be the only approach for delivering applications and will serve as the key driver of business innovation. 

Legacy IT like wireless access points or mainframe computers will not go to the cloud. But, other applications and workloads will resort to the cloud, including servers, storage, and networking. Cloud will become the ubiquitous style of computing. Any non-cloud applications or infrastructure will be redundant by the year 2025.   

Two specific predictions on the future of the cloud that should be in your digital strategies:

  1. Cloud will be the foundation for business innovation –

Cloud is creating new business models and revenue streams. It will transform IT departments from cost centers to digital business bases.

Business innovation through the cloud – three core ways:

  1. Cloud democratizes access to cutting-edge technology. This makes it the platform of choice for most IT services. Consumption-based pricing and the ubiquitous availability of cloud services will provide next-generation capabilities to organizations.
  2. Cloud will connect organizations to a vast ecosystem of partners and suppliers.
  3. Organizations will create agile, innovative business designs using the cloud to enhance their core competencies. Cloud can provide opportunities in different business processes including customer service to supply chain management.

Cloud computing is the common denominator for the success of leading digital pioneers. They leverage the cloud and its principles to expand their services to create and monetize new services.

These organizations evolved into platform businesses. This is a trend that will be common by 2025. Enterprises must become platform businesses to compete with the digital giants.

cloud in 2025, Gartner prediction
  1. Intentional multi-cloud and distributed cloud
  • In a 2018 survey by Gartner, 80% of respondents said their organization runs load on multiple clouds. This approach is described as unintentional multi-cloud.
  • Another Gartner study in 2020 recorded respondents identifying the top reasons their organization uses multiple public clouds – improving availability, selecting best-of-breed capabilities, and satisfying compliance requirements.

By 2025, 50% of enterprises (up from fewer than 10% today) will adopt intentional multi-cloud where they use cloud services from multiple public cloud providers. With this approach, organizations can reduce the risk of vendor lock-in, maximize commercial leverage, and address broader compliance requirements.

Distributed cloud is another future-looking computing mechanism. It is the distribution of public cloud services to different physical locations. The operation, governance, and evolution of the services are the responsibility of the public cloud provider.

More than three-quarters of respondents in the Gartner 2020 Cloud End-User Behavior study preferred cloud computing in a location of their choice. Gartner anticipates half of the businesses using distributed cloud by 2025.

The rise of cloud computing!

  • Cloud spend will surpass the non-cloud spend – Gartner 2020 Cloud End User Behavior study.
  • More than 80% of large corporations are using cloud computing. This will increase to more than 90% up to 2024.
  • In 2025, the public cloud computing market will be worth $800 billion.
  • By 2024, enterprise cloud spending will be 14% of total IT revenue worldwide.

The technology landscape is highly unpredictable. Something like cloud computing can and will see multidimensional growth. Predictions can go on and on. We will be talking more about the future possibilities of cloud computing in future articles. Stay tuned for more and keep reading.

 Contact us for cloud computing support here

How to Scale on Cloud Computing; Made Easy for You

“What kind of cloud services do you use?”

Cloud services are categorized into Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service (IaaS, PaaS, and SaaS). 

The traditional, on-premise deployments require managing your software as well as IT investments. IaaS, such as Google Cloud, Amazon Web Services (AWS), Microsoft Azure provides a pay-as-you-go service for storage, networking, and virtualization. A step further are PaaS options such as Windows Azure, Google Compute Engine, IBM Cloud that also provide services such as hardware and software development. 

SaaS options such as Salesforce, Google Apps, Microsoft Office 365 are at the top of the Cloud Services table. You get an option of subscribing to end-to-end software solutions. 

Cloud Computing drives every little thing in today’s world, including jobs, applications, services, data, and platforms. The cloud is scalable and flexible. It also provides security and control over the data center.

The future of Cloud computing will be a combination of cloud-based software products and on-premises computing. There will be hybrid IT solutions. The shift to public cloud computing is the dominant trend in the industry. This will make cloud technology even bigger going forward.

Currently, cloud computing is dominated by three major players. We all know who they are – Google, Microsoft (Azure), and Amazon (AWS). These cloud computing providers are huge and are rapidly growing. These three did under $30 billion in revenue last quarter. They are heading towards $120 billion in revenue over the next year. Cloud computing is on the growth path for the foreseeable future. 

Scalability is a key driver for cloud migration!

No matter the size of your business, you are always planning to grow. Be it a startup or a successful venture, who doesn’t love to serve more customers, solve more customer problems, and gain profits. Don’t we all get a little starry-eyed when we hear a fairy-tale success story of companies scaling by 200 percent or increasing their team size by a substantial number? 

Scalability here refers to the ability to seamlessly enhance or decrease the compute or storage resources.

Smart and effective scaling requires systems, technology that scale easily. There are two types of scaling. 

Horizontal scaling, or more popularly referred to as scaling out or in signifies the number of resources. On the other hand, Vertical scaling which is also called scaling up or down refers to the power and capability of individual resources.

Cloud technology makes scaling faster, smarter, and more affordable than on-premises servers (on-prem) – by a big margin. Cloud is better for scalability. With on-premise installations, resources for scaling are finite. Opt for the cloud if you want to grow without major tech hiccups along the way.

Coming to the important part!

Scaling in cloud computing is the process of adding or reducing computing power, storage, and network services to meet the workload needs to match your business needs. For example, you own an Ecommerce store and need additional computing capacity on Black Friday, you need to scale up your server capacity to meet the additional traffic to your website. Similarly, if the need for computing power drops every day from 1 am to 5 am local time, your servers must scale down to use fewer resources, costing less money. 

Cloud workloads for computational resources are usually determined by:

  • Front-end traffic (The number of incoming requests)
  • Back-end, load-based (The number of jobs queued in the server) 
  • Back-end, time-based (The length of time jobs have waited in the queue)

Scaling Up & Scaling Out … 

Scaling up and scaling out refer to two dimensions across which resources can be added. To keep the system running smoothly as the user base grows, you have to add more computing power (CPU, RAM) to your existing machine, that is cloud vertical scaling. Or you have to add more machines/servers, that is cloud horizontal scaling.

Horizontal and vertical scaling in the cloud

  • Vertical Scaling is the process of resizing a server to give it supplemental CPUs, memory, or network capacity. With only one server to manage, vertical scaling minimizes operational overhead. The need to distribute the workload and coordinate among multiple servers is gone. Vertical scaling is best for applications that are difficult to distribute. 
  • Horizontal scaling splits the workload across multiple servers working in parallel instead of resizing an application to a bigger server. Applications that can sit within a single machine are well-suited to horizontal scaling. There is little need to coordinate tasks between servers. Front-end applications and microservices can leverage horizontal scaling and adjust the number of servers in use according to the workload demand patterns.

Cloud Autoscaling!

Cloud Autoscaling!

Cloud autoscaling is the process of automatically increasing or decreasing the computational resources delivered to a cloud workload. The benefit of autoscaling is simple – your workload gets exactly the cloud computational resources it requires (no more, no less) at the given time. This reflects sin cost as you pay only for resources you need.

All the major public cloud computing vendors offer autoscaling capabilities:

  • AWS calls the feature Auto Scaling Groups
  • Google Cloud calls the feature Instance Groups
  • Microsoft Azure calls it Virtual Machine Scale Sets

Each of these service providers offers the same core capabilities.

If cloud scaling is not done properly, there are risks. When scaling is applied across many workloads, the stakes go high:

  • Scaling capacity (up or out) beyond actual resource utilization results in overspending on unused infrastructure services. This reflects on cost as well.
  • Scaling capacity (up or out) creates overspend when demand is low, This puts workload performance at risk when traffic spikes

Well, there is always risk involved when things are done improperly, be it getting a coffee or scaling cloud computing. Right from cloud computing, cloud scaling, or autoscaling, everything is quite simple, not intimidating as it seems. 

Galaxy Weblinks has ventured into cloud and security services. With 21 years of experience in IT, we are aware of how deep the waters are. We too are aiming to scale  – help more customers with more technologies and solve more problems. Let’s scale together. Contact us for Cloud Migration and other cloud computing services.

Security in Public Cloud – How to Choose the Right Service Provider

While considering a public cloud service, you need to keep several important considerations in mind. One of the most important among those is cyber security. The features and capabilities your public cloud service provider employs to keep their networks and services safe and ultimately your data safe.

There are three big players in the game; Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. All three take their security very seriously because one breach can cause a loss of millions of dollars in penalties, revenue, and reputation.

Here’s what they are offering in terms of cyber security to keep your data safe:

Network and Infrastructure Security

Amazon Web Services (AWS)

  • Network firewalls that allow customers to create private networks and control access to instances or apps
  • Companies also get access to control encryption in transit across AWS services.
  • Connectivity options to enable private or dedicated connections
  • DDoS mitigation
  • Automatic encryption of all traffic between AWS secured facilities

Google Cloud Platform (GCP)

  • Has purpose-built hardware for security. Titan, a custom security chip used to establish a hardware root in GCP servers and peripheral devices.
  • Google also makes its network hardware for improving security. 
  • Multiple layers of physical and logical protection
  • A global network infrastructure that is designed to withstand attacks such as DDoS.
  • There are additional network security capabilities like cloud load balancing and Cloud Armor that can be deployed on the customer level.
  • Several security measures are put in place to secure data in transit. Google encrypts and authenticates data in transit at multiple network layers.

Fun fact: In 2017, the infrastructure absorbed a 2.5 Tbps DDoS, the highest-bandwidth attack reported to date.

Microsoft Azure

  • Microsoft has geographically dispersed data centers that comply with industry standards for security and reliability.
  • Experienced Microsoft operations staff manage, monitor, and administer the Azure data centers.
  • Operations personnel are profiled through a series of background verification checks. And based on those checks Microsoft limits access to applications, systems, and network infrastructure. 
  • Azure Virtual Network resources are protected by cloud-based network security called Azure Firewall. It is a firewall-as-a-service that comes with built-in high availability and unrestricted scalability. It can decrypt outbound traffic, perform security checks and then re-encrypt the traffic.

Identity and Access Control

Amazon Web Services (AWS)

  • AWS Identity and Access Management (IAM) lets you define individual user accounts with permissions across AWS resources.
  • AWS Multi-Factor Authentication for privileged accounts including software-based and hardware-based authenticators. 
  • You can use partner identity systems like Microsoft Active Directory to grant employees and applications federated access to AWS Management Console and service APIs.
  • AWS single sign-on enables organizations to manage user access and permissions to all of their accounts in AWS.
  • Amazon also offers a directory service which lets organizations integrate and federate with corporate directories to reduce administrative overheads and improve end-user experience. 

Google Cloud Platform (GCP)

  • Google Cloud Identity Access Management(IAM) lets administrators authorize people to take action on specific resources, with full control and visibility to manage GCP resources centrally. 
  • Cloud’s IAM provides a unified view into security policy across the entire organization to ease compliance processes for bigger organizations.
  • Google Cloud comes with Cloud Identity, an Identity-as-a-Service(IDaaS) that centrally manages users and groups.
  • Exclusive in its arsenal Google also provides Titan Security Keys that provide cryptographic proof that users are interacting with legitimate services. 
  • There’s also a resource manager, Cloud Resource Manager that provides resource containers like organizations, folders, and projects which let you organize your GCP resources group-wise and hierarchically.

Microsoft Azure

  • For SSO or Single Sign-On, multi-factor authentication, and conditional access to Azure services, corporate networks, on-premise resources, and SaaS applications, Microsoft has Azure Active Directory(AD). 
  • Azure AD comes with secure adaptive access which simplifies access, streamlines control with unified identity management, and ensures compliance with simplified identity governance.

Fun Fact: Microsoft says that with these features, it can help protect users from 99.9% of cyber security attacks.

Data Protection and Encryption

Amazon Web Services (AWS)

  1. Apart from data-in-transit, Amazon also provides a scalable encryption feature for data at rest with its data-at-rest encryption.
  2. Amazon also has flexible key management options including AWS Key Management Service, AWS CloudHSM for hardware-based cryptographic key storage, and encrypted message queues for sensitive data.

Google Cloud Platform (GCP)

  • Google utilizes Confidential Computing to secure data as it is being used. One of the firsts in the line of products that will benefit from Confidential Computing is Confidential VMs. 
  • Google also offers flexible Key management with its Cloud External Key Manager (Cloud EKM).

Microsoft Azure

  • For the key management, Microsoft has Azure Key Vault which helps keep cryptographic keys safe.  
  • Azure Key Vault streamlines the key management process and also gives control of keys to organizations.
  • Security admins can grant and revoke permission to keys as needed.
  • Organizations can use Microsoft information protection and Microsoft Information Governance within Microsoft 365 to protect and govern data.

The security features and capabilities mentioned above for the respective Cloud Service Providers are a testament to the importance of Cyber security in a public cloud. As an organization, all these cloud security features are at your disposal but you need experts to manage your cloud and implement these security features to be able to secure yourself from attacks like DDoS and data breaches. 
Our Cloud experts at Galaxy are here to help you implement and secure Public Clouds in Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Contact us for a free consultation.

Cloud Strategy for Companies in a Post-Pandemic World

Being an early adopter of new technology can often come at a higher cost than it is worth. As a result, businesses all over the world are slow to embrace digital innovation. Many of us were caught off guard by the pandemic, which forced hundreds of millions of workers to seek shelter and essentially move all operations and most daily life online. Not all businesses had the technological tools they needed to deal with these new challenges.

Pre-Covid-19, for example, most businesses had only just begun their cloud-migration journeys. According to Accenture research from 2019, 90 percent of enterprises have “adopted cloud technology in some form.” On average, these businesses only had 20-40% of their workloads in the cloud.

Even the preliminary steps were significant. Technavio, a market research firm, predicted a 7.1% increase in the cloud migration services market before the pandemic hit ($7.1 billion in 2024). This would imply a compound annual growth rate of 24%.

These figures, however, are expected to skyrocket following the pandemic. According to a study conducted after Covid-19’s impact, 87 percent of “global IT decision-makers” believed Covid-19 would cause organizations to accelerate their cloud migration. Businesses must transform numerous processes and functions within their organization by implementing an integrated cloud strategy and embarking on a transformation journey. A “cloud-first strategy” is formed by combining all of these factors.

Why cloud will continue to explode post-COVID

According to another study conducted by a cloud-native logging and security analytics company, up to 81 percent of organizations reported that COVID-19 had accelerated their cloud timelines. Companies plan to move more than 75% of their apps/workloads to the cloud, up by 200 percent. Eighty-six percent of companies consider cloud options when developing new applications, and more than 40 percent choose the cloud as their first choice.

The reasons are well known by this point. Using public clouds eliminates many of the pandemic risks associated with maintaining your own data center, hardware, network, and software. During quarantine, many companies that were not in the cloud encountered issues.

Public cloud providers remove these problems by making everything virtual. During the pandemic, public cloud service providers demonstrated their dependability as well as their ability to scale up quickly. In light of COVID-19-related problems with on-premises systems and a move to remote work, many businesses moved their processing to the cloud.

Three ways you can get more out of your cloud investments

1. Start Me Up (Once More) – BCP in the Cloud

It may appear overwhelming, but to achieve digital transformation, you must initiate a complete cultural shift. Business Continuity Plan or BCP is one area that must be approached with a fresh perspective.

A cloud-first business that operates with an inflexible BCP created at the beginning of the fiscal year – and then forgotten – is the polar opposite of lean and agile. To aid in the mindset shift, you could even retire the term BCP entirely!

With cloud platforms correctly used, plans for fast failover to backup data centres and data backups on tape are not required in any case. Instead, the objective is to identify the best strategies for providing employees with secure access to everything they need while moving from the office to the train to the home to a coffee shop without missing a beat.

While user business continuity is critical, organizations must also ensure data continuity. AWS and other public cloud providers have this down pat, offering data replication across multiple zones and regions.

2. Shine a Light on Cost-Optimization

It may seem obvious but only invest in cloud projects that will help your company achieve its goals. One of the motivators for many organizations to invest in the cloud is to save money. However, this rarely begins smoothly.

Many businesses experience “bill shock” after migrating to the cloud because they failed to put in place safeguards to prevent enthusiastic overuse of AWS accounts and instances. We’ve also seen large organizations turn off everything in AWS, stifling innovation.

The emphasis here should be on establishing a robust set of controls that do not prevent the use of cloud services but rather set boundaries. You can set up alerts and controls when certain quotas are met, such as when a developer spends £500 on AWS time on an experiment.

3. Engage the Boardroom Beasts

Today, technology is a boardroom issue. However, board members who are cloud illiterate can hinder a company’s ability to succeed. The most effective way to overcome this is to ensure that all board members understand, are involved in, and agree with the cloud journey.

As organizations shifted rapidly to remote working, a significant shift to cloud-based platforms and solutions occurred. Many C-suite executives were also compelled to accelerate their cloud migration plans during this time period. 27.5 percent of IT leaders polled in a recent Cloudreach- sponsored IDC study of 200 IT leaders agreed that large-scale cloud migrations were “essential for business survival” in the future.

Conclusion

The first step in a cloud-first strategy is to identify an optimal cloud strategy and execution plan, which is followed by a secure and cost-effective migration and modernization to the cloud. Using the right expertise and cloud data models, it unlocks existing intelligence and insights, and then reimagines business functions to emerge as a stronger innovation enterprise.

All of these elements must be present for businesses to transition from non-agile and capital-intensive infrastructures to cloud-based innovation platforms that are industry-specific.

About Galaxy Weblinks

We specialize in delivering end-to-end software development & testing services. We also offer effective solutions for Cloud support & maintenance to help our global clients with cloud storage, public, private & hybrid application development, among other things. Contact us to speak with our cloud experts.

3 Ways Microservices Save you From Drawbacks of Centralized Data

The microservices approach is made possible in large part by favoring decentralization of software components and data — specifically, by breaking up “monolithic” elements into smaller, easier to change pieces and deploying those pieces on the network.

Their goal, in organizational design terms, is to decentralize decision authority. Instead of having a few people make architectural and software decisions for everyone in the organization, decentralization allows them to distribute decision-making power amongst the people who do the work.

When it comes to data, companies that create individual services for specific business logic frequently feel compelled to consolidate all application data into a single, centralized datastore. Their goal is to make sure that all the data is available for any service that may require it. Managing a single datastore is simple and convenient, and data modeling can be consistent for the entire application to use, regardless of the service that uses it. 

However, we would recommend that you avoid doing this. Here are three reasons why centralizing your data is a bad idea and how microservices help in checking the drawbacks.

1. Centralized data is hard to scale

When the data for your entire application is in a single centralized datastore, then as your application grows you must scale the entire datastore to meet the needs of all the services in your application. This is depicted in the diagram below (Figure 1). If you use a separate data store for each service, only the services that have increased demand need to scale, and the database being scaled is smaller. This is shown on the right side of Figure 1.

Centralized data

It’s a lot easier to scale a small database bigger than it is to scale a large database even larger.

How microservices help in scaling?

Scaling is the process of dividing software into smaller units. Scalability refers to the application’s ability to implement more advanced features. It contributes to the application’s security, durability, and maintainability. In the industries, three types of scaling procedures are used. The microservice scaling methodologies include x-axis, y-axis, and z-axis scaling; below is one of the methods along with the corresponding real-world example.

Scaling on the Y-Axis:

Vertical scaling, which includes any resource level scaling, is also referred to as Y-axis scaling. Any DBaaS or Hadoop system can be thought of as Y-axis scaled. The user’s request is redirected and restricted in this type of scaling by implementing some logic.

As an example, consider Facebook. Facebook must handle 1.79 million users every second, so traffic control is a major responsibility for Facebook network engineers. To avoid any danger, they use Y-axis scaling, which entails running multiple servers with the same application at the same time. To control this massive amount of traffic, Facebook redirects all traffic from one region to a specific server, as shown in the image. In architectural terms, this transferring of traffic based on region is known as load balancing.

2. Centralized data is hard to partition later

A common thought that pops up in the mind of every app developer is, “I don’t need to worry about scaling now; I can worry about it later.” As your application grows in popularity, you must consider rethinking architectural decisions to meet increased traffic. 

Distributing your datastore into smaller datastores is one of the common architectural changes. It is much more convenient to do at the beginning of the application’s life cycle than it is later. When the application has been around for a few years and all parts of the application have access to all parts of the data, determining which parts of the dataset can be split into a separate datastore without requiring a major rewrite of the code that uses the data becomes extremely difficult. Even simple questions become difficult to answer. What services are making use of the Profiles table? Is there a service that requires both the Systems and Projects tables?

The longer a dataset remains in a single datastore, the more difficult it is to later divide that datastore into smaller segments.

How microservices help in data storing and partition?

A microservice may use one, two, or more databases. Some of the data stored by the microservice may fit well in one type of database while others may fit better in another. There are numerous viable database technologies available today, and I will not compare them here. However, there are some broad database categories to consider when making a decision, such as relational databases, key/value stores, document databases, column stores, and graph databases.

By separating data into separate datastores based on functionality, you avoid issues associated with separating data from joined tables later, and you reduce the possibility of unexpected data correlations in your code.

3. Centralized data makes data ownership impossible

The ability to divide application ownership into distinct and separable pieces is one of the major benefits of dividing data into multiple services. Individual development teams owning applications is a core tenet of modern application development that promotes better organizational scaling and faster response to problems when they arise. The Single Team Oriented Service Architecture (STOSA) development model discusses this ownership model.

This model works well when you have a large number of development teams all contributing to a large application, but it also works well for smaller applications with smaller teams.

The issue is that for a team to own service, they must own both the code and the data for the service. This means that one service (Service A) should not have direct access to the data of another service (Service B). If Service A requires something from Service B, it must call a service entry point for Service B rather than directly accessing the data.

ownership

This gives Service B complete control over its data, how it is stored, and how it is maintained.

So, what are your options? Each service in your service-oriented architecture (SOA) should have its data. The data is a component of the service and is incorporated into it.

Designing Microservices: Best Practices

The design of microservices must ensure a weak coupling for services to be modified independently and to operate autonomously. Services that are weakly coupled will benefit fully from the microservice architecture, such as fault tolerance, load adaptation, implementation ease, and so on.

Furthermore, it must be highly cohesive to ensure that exchanges between these services are as coherent as possible via the following rules:

  • Design simple microservices that can be composed or linked to others according to the modularity and composability rule.
  • Engine interfaces must be isolated according to the separability rule. Internal microservices are not structured, whereas interfaces are.
  • Representation rule: design data-controlled microservices that have a simpler operation, are more robust and have better scalability.
  • Generation rule: avoid encoding repetitive and trivial things and encode using programs rather than WSDL files to generate code for the interfaces.
  • Make the necessary technological and methodological decisions based on the problem to be solved, not on a software catalog or a stack certified by a corporate guru.

Here is how Galaxy can help you

When release cycles take months rather than weeks, your company is frequently unable to deliver modern online experiences. Development bottlenecks impede your ability to update applications, preventing you from innovating and iterating. And an out-of-date or clumsy user experience prevents you from retaining and winning over customers.

Galaxy’s experts will assist you in implementing an end-to-end vision by developing a modern development stack for building enterprise applications with the necessary frontend and microservice technologies for your business. We will help your team quickly build, design, and launch applications based on microservices.

Learn about Galaxy’s Microservices, Frontend, Backend, and DevOps capabilities, which can help your organization build better and faster apps, sites, and portals.

About Galaxy Weblinks

We specialize in providing end-to-end software design and development services and have firsthand knowledge of backend and frontend technologies. Our engineers, DevOps experts, and UX/UI specialists work to improve security, reliability, and features to ensure that your business application and IT structure scale and remain secure.

3 Cloud Problems That Needs Your Attention

2020 is almost at a close and it would be a safe bet to say that out of all the technologies, Cloud surged the most. Some may believe that they may have figured out the Cloud completely. However, there still are some underlying issues that need to be addressed. Let’s have a look at what needs fixing:

Cost management

Most businesses would agree that cloud providers keep changing their billing practices, adding unwarranted complexity to what is supposed to be a fairly simple thing. When you look at all the possible configurations it’s easy to get lost in the services enlisted in the invoice by your provider. It’s not that just providers are at fault here! Businesses often make several mistakes that can increase their expenses. Sometimes, IT professionals like developers turn on a cloud instance implied to be utilized temporarily and then forget about it later. If you cannot make sense of your bill, what you save on the infrastructure will be lost on bandwidth and other hidden things.

Compliance

Enterprises use the cloud to store all sorts of information, personal and otherwise. With all that information and migration of this information, GDPR compliance poses a challenge. While handling complex cloud environments, there is little time for organizations to worry about the implementation of GDPR. Any breach of the compliance and the business goes under. Add to this mix the fines which can range from 2-4% of the company’s annual revenue, if found violating the law. Many organizations turn to employ a data protection professional who can anticipate data security and privacy according to the needs of the law. These professionals are aware of the compliance needs of the organizations they are employed in, concentrating on the duties for compliance will help organizations fulfill every legal responsibility.

Cloud Security

According to a Unisys-sponsored survey, 64% of U.S. Federal Government IT leaders view identity management solutions as critical to cybersecurity. When we talk about security, we’re just scraping the surface of the cloud concerning what we know about the cloud and how to secure it. Furthermore, the cloud providers do not give us any choices besides using their native security solution the platform comes equipped with. A recipe for a complex system we must add. IAM or Identity Access Management means seamlessly controlling access and rights for every user on the network. Almost every enterprise has IAM best practices in place. However, they are only effective if strictly followed across the organization. Unchecked or mismanaged exceptions and exemptions to IAM policies are some of the leading causes of compromised data. Multifactor authentication is our best bet at securing our clouds and will eventually become ubiquitous.

To Conclude

When compared with the benefits, the cloud limitations seem to get dwarfed. However, there is still a lot of work that needs to be done by both – the services providers as well as the enterprises. Organizations can steer clear of these challenges if they have verified cloud experts by their side to guide them through. Need help with your cloud implementation?? Let us help you. About Galaxy Weblinks  Galaxy has a proactive cloud team that works round the clock to deploy and ensure the safety of the systems across various clouds like AWS, Google Cloud, and Microsoft Azure.