As data continues to grow exponentially, the need for databases that can handle large volumes of transactions with minimal latency and high availability becomes more pressing. Traditional databases often struggle to keep up with these demands, leading organizations to explore more advanced options.  

To accomplish this, Amazon aurora stand out for its remarkable combination of performance, reliability, and simplicity.  

In this blog, we will delve into various benefits of Amazon aurora, exploring its advanced features, benefits and how Rapyder is at forefront to help its customers leverage the power of this modern database to achieve unparalleled performance and scalability while maintaining the ease and cost-effectiveness of open-source databases. 

Let us first understand What is Amazon Aurora? 

Amazon Aurora, a powerful relational database service offered by Amazon Web Services (AWS), is engineered specifically for the cloud to meet the needs of modern applications. It is a cloud-native relational database that is compatible with both MySQL and PostgreSQL. It combines the high performance and availability typical of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. 

Do you know? 

The cloud applications market grew from $30.4 billion in 2013 to $153.6 billion in 2023, reaching $168.6 billion by 2025. 

 Features of Amazon Aurora 

1. Highly Scalable: Amazon Aurora impresses with its ability to automatically adjust database volume size as per storage needs, growing in increments of 10 GB up to a maximum of 128 TB.  
2.  Elevated Throughput: Amazon Aurora showcases exceptional throughput. It uses advanced software and hardware techniques to optimize computing, memory, and networking resources for maximum efficiency. 
3.  Monitor and Repair Instance: Amazon RDS continuously monitors the Amazon Aurora database and underlying EC2 instances. In the event of database failure, the database and associated processes are automatically restarted. This minimizes downtime, and Aurora’s isolation of the database buffer cache from database processes allows the cache to survive a database restart. 
4.  Encrypted: Amazon Aurora ensures high security by offering encryption options for data at rest using AWS Key Management Service (KMS) and SSL for data in transit. 
5. Smooth Usage: Amazon Aurora is designed for ease of use, with setup options available through the RDS Management Console, API calls, or CLI. It comes pre-configured with settings appropriate for selected DB Instance classes, simplifying application integration. 
6.  Cost-effective: With Amazon Aurora, users pay only for the storage space and processing power without any upfront or additional costs. It operates on a simple monthly payment model. 
7.  Migration Support: Amazon Aurora facilitates migration with support for pg-dump and MySQL dump commands, making it easy to transition from local databases. 
8.  Managed Database: Amazon Aurora offers a fully managed experience, enabling easy instance setup through the RDS console or API calls. Additionally, it provides free monitoring via Amazon Cloudwatch and handles software patching, upgrades, and provisioning, relieving users of administrative burdens. 

 Benefits provided by Amazon Aurora 

1. Performance Excellence: Amazon Aurora boasts remarkable speed and consistency, delivering up to five times the performance of typical MySQL databases and up to three times the performance of PostgreSQL databases. It harnesses a distributed and replicated storage system, ensuring swift data access for applications, thus enabling high-speed operations. 
2.  Scalability & Flexibility: Aurora seamlessly adjusts to varying workloads, scaling up or down effortlessly as needed. This adaptability suits applications with fluctuating usage patterns perfectly. With the ability to scale up to 64TB of storage and accommodate up to 15 replicas, Aurora is adept at handling substantial datasets and heavy traffic loads. 
3.  High Availability and Reliability: Engineered for reliability, Aurora features automatic failover, self-healing storage, and continuous backups to Amazon S3. Its support for multi-AZ deployments ensures data replication across different availability zones, guaranteeing uninterrupted application performance, even in the face of zone failures. 
4.  Robust Security Measures: Aurora prioritizes security with features like encryption at rest and in transit, network isolation, and seamless integration with AWS Identity and Access Management (IAM). It complies with industry standards such as HIPAA, PCI DSS, and SOC, ensuring data protection and regulatory compliance. 
5.  Cost-Effectiveness: Aurora’s pay-as-you-go pricing model offers cost-effectiveness, allowing customers to pay only for the resources they utilize. Additionally, it provides reserved instances and yields discounts of up to 70% compared to on-demand pricing, making it an economical choice. 
6.  Compatibility and Seamless Migration: With its native compatibility with MySQL and PostgreSQL, Aurora simplifies the migration process, enabling seamless transition of existing databases without necessitating changes to application code. 

 Why choose Rapyder for Amazon Aurora services?  

At Rapyder, we prioritize your organization’s success. Our skilled team and expertise smoothly transit operations to meet your objectives. The Rapyder Amazon Aurora Services solution addresses many common difficulties associated with relational database service (RDS) management.  

Whether your concern is data protection, resource provisioning, 24x7x365 administration or performance tuning, our comprehensive services and platform-certified DBAs can address all these challenges. 

Our expertise includes: 

Teams of experts – We employ teams of experts who specialize in managing cloud infrastructure, security, web content platforms, databases, containers, disaster recovery, etc. 

AWS Certifications – Rapyder has over 200 AWS certificated professionals.  

AWS Capabilities – Rapyder capabilities include: 4 AWS competencies and 16 Service deliveries.  

 Conclusion 

In conclusion, Aurora is a highly reliable and secure relational database engine offered by AWS. Its scalability, fault tolerance, and security features make it an excellent choice for businesses aiming to build robust and resilient applications in the cloud.  

By leveraging the power of Aurora, organizations can focus on delivering value to their customers, while leaving the complexities of database management to the expertise of AWS. 

For more information and to see how Rapyder can help you maximize the benefits of Aurora, please contact us today. 

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Impact of Generative Artificial Intelligence on Cloud Computing

Gen AI’s integration with cloud computing has emerged to accelerate innovation across industries and act as a transformative catalyst. This unveils a world full of possibilities and revolutionary developments. It provides scalable infrastructure while Gen AI continues to push creativity and innovation. The combination of cloud AI technologies with generative AI speeds up the iterative process of ideation and prototyping and creates a vibrant environment for collaboration and experimentation. Cloud and Gen AI promise to democratize the AI technologies and enable a wider audience to utilize the potential across industries.

Why is Generative AI crucial for business success?

Generative AI has the capability to improve and automate every element of your corporate operations, from software development and business management to customer care and data analytics.

For instance –

– To improve customer engagement by enabling self-service and giving everyone the greatest possible experience.

– To automate high-volume processes like handling communications and insurance claims, as well as duties involving software development. – To facilitate the understanding of all relevant unstructured data by your teams, including contracts, bills, customer comments, policies, and performance evaluations.

Rapyder’s Generative AI Solution for enterprises

Given that ChatGPT isn’t tailored to manage enterprise data with its unique domain knowledge, terminology, and privacy requisites, we’ve engineered a solution. This solution empowers enterprise clients to harness the potential of generative Artificial Intelligence within their proprietary data. Through Rapyder’s solution, you can establish an experience akin to ChatGPT, tailored to your data, utilizing cutting-edge generative machine learning models like OpenAI’s ChatGPT.

Our solution furnishes enterprise customers with the tools to leverage generative AI within the context of their enterprise data. This offers avenues for enhancing customer service, boosting employee engagement, extracting business insights, and more.

Our approach relies on the synergy of two potent AI technologies: the OpenAI GPT3.5-turbo model and Azure Cognitive Search. The GPT3.5-turbo model represents a large-scale machine learning language model proficient in generating coherent and natural text across diverse subjects. Azure Cognitive Search, a cloud service, streamlines data indexing and retrieval. By harmonizing these AI technologies, we implement a technique called Retrieval Augmented Generation (RAG), enabling the generative AI application to craft responses exclusively from user data.

Our solution boasts the following features:

1. Engage with your data as though conversing with a human.
2. Integrate semantic search capabilities into your data interactions.
3. Deliver personalized outcomes solely sourced from your data.
4. Facilitate dynamic chat sessions and Q&A interactions.
5. Provide users with options to assess content reliability through citations and traceability.
6. Empower users to fine-tune the behavior of the Generative AI model.

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This is where the expertise of a Cloud Consulting firm becomes invaluable. Whether you’re a start-up, small business, or a large enterprise, understanding the strategic advantages of partnering with cloud consulting services could be game-changing.

Fact-time: 76% of global organizations adopt a multi-cloud model, with large enterprises leading the path. Among them, 60% of small businesses and 76% of mid-sized organizations embrace multi-cloud infrastructure.

Simplifying Cloud Consulting

Cloud consulting aims at guiding businesses in embracing, implementing, and maximizing the benefits of cloud solutions. This comprehensive approach involves crafting tailored strategies to align with organizational needs, executing cloud architectures seamlessly, ensuring smooth migration of data and applications, implementing robust security and compliance measures, continuously enhancing efficiency, and providing ongoing training and support to internal teams.

Cloud consulting plays a vital role in enabling companies to harness the full potential of cloud technologies, offering expertise, efficiency, cost-effectiveness, and security guidance, facilitating a smooth and successful transition to the cloud.

Top 6 Reasons to Collaborate with a Cloud Consulting Firm

Ensuring a smooth, hassle-free transformation procedure to cloud is usually challenging for many. To solve this problem, you can either hire an in-house team or you can collaborate with an experienced consulting partner to help you throughout your cloud journey.

1. Cost Savings: Hiring a cloud consulting agency offers numerous advantages over maintaining an in-house expert. The cloud consultants bring extensive practical knowledge to complex migration processes, train teams for cost management, and are adept at resolving technical issues.  Additionally, their payment structure aligns with services rendered, avoiding fixed monthly salaries and allowing resources to be redirected to internal operations, thus minimizing costs.
2. Guidance & Expertise: When you bring in a cloud consultant, it takes off the burden on in-house IT teams, allowing them to focus on existing responsibilities without added stress or oversight. Cloud consultants offer expertise acquired through training and experience, enabling organizations to leverage their knowledge for optimal project outcomes.
3. Smooth Migration: Handing over the migration process to a cloud consulting firm is essential, if your IT department lacks the necessary expertise. These consultants bring invaluable experience, efficiently directing the transition and completing it swiftly. Given the complex nature of cloud migration, proficiency in both cloud and traditional server architecture is crucial. A professional team with migration experience ensures a seamless process, minimizing loss and delay.
4. Less Downtime: Ensuring optimal functionality of cloud-based communication, work platforms, and applications is crucial for maintaining productivity. Collaborating with cloud consultants allows for the development of effective strategies to prevent and manage downtimes, ultimately boosting organizational output.
5. Ensured Security: Cloud consulting firms understand cloud security threats and design strategies to mitigate breaches, protecting sensitive data and maintaining customer trust. They assess defense needs and implement precautions like firewalls and encryption.
6. Platform Management: Professionals efficiently manage post-transformation tasks, reducing overall expenditure. Ongoing cloud management is dynamic, requiring scalable resources and extensive monitoring. Experts optimize architecture for performance and cost efficiency, tailoring solutions to business needs.

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Humor apart, the global pandemic has fast-tracked many organizations’ digital agendas. Projects that would have otherwise taken a few months or even years are now squeezed into weeks or days.

The pandemic left us with very little time to prepare. It robbed organizations of the luxury of time to execute long-drawn transformation projects. This led to firms hustling to enable new digital tools and channels to ensure business continuity. There was no room for discussing possible alternatives, user resistance, or other adoption challenges. Even the most conventional industries almost immediately embraced digital workforce models or customer touch points.

Digitally transformed future

Are these shifts or transformations permanent, or will they fizzle over time? The future is largely going to be digital-first and digital-only. Whether brands like it or not, the future workforce and customer service mechanisms are racing towards an autonomous, self-service culture. Digital is at the core of this massive disruption that we are dealing with.

In the last few months, one thing came out quite evidently–organizations that have already mapped out a robust digital transformation path are far ahead in this journey. Those who had yet to embrace ‘digital’ witnessed a relatively slower response to the disruption.

In that sense, digital is top of the agenda for organizations of all sizes and sectors. If we dig deeper, many of these successful digitally-empowered organizations have one thing in common—they have all leveraged cloud computing in a big way to modernize and stay agile. There are no two ways about it. During the pandemic, the business value of cloud came through more distinctly. Whether enabling remote working systems, scaling up to meet the unprecedented market demand, or ensuring more efficiency and cost optimization, the cloud was and continues to be pivotal in the new normal. While this has always been the case, what changed during the pandemic is how organizations adopted cloud and digital models.

For example, many leading banks in India, where remote working was never a norm, enabled WFH for their employees within a few days through cloud-based VDIs. Organizations across industries benefitted from faster deployment times (on-premise deployments could take months!) and inculcated flexibility, scalability, and improved security through digital workspace deployments—without needing to make substantial upfront investments.

The need for speed has been unmatched during this crisis. Is it a nimble startup or an established behemoth? Digital isn’t a choice for most organizations but a necessity.
Traditional deployment models may have worked, but technology leaders are quickly rethinking. In today’s digital world, release cycles must vastly fasten up, and huge volumes of data must be quickly analyzed to arrive at insights. Operating on cloud is the only way to address these challenges.

A sizable number of digital transformation projects fail because traditional infrastructure environments resist change. Technology leaders have already realized it. They know that having a few digital tools do not make their organizations digital. It requires one to look at business technology transformation from the ground up. Cloud is providing the responsive and robust platform needed for digital transformation. Cloud-native companies can get a substantial leg up in the game and leverage digital to increase revenues and improve margins in today’s highly delicate market environment.

Across the board, there is an increasing consensus on why cloud is inevitable to digitize quickly and efficiently. According to a survey by IDC released in May this year, 64% of the organizations in India are expected to increase demand for cloud computing in response to the global pandemic, with public cloud leading the forefront of all infra-related investments. The future of digital enterprises will be built on cloud as we know it!

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Cloud Agility and Flexible Multi-Cloud Strategy to Improve Cloud Data Management

Despite significant advancements in Cloud computing and its services, companies face challenges in transitioning to the Cloud. Traditional companies often struggle with hosting legacy IT systems, running on-premise structures in the company basement at external service providers. These environments are hard to combine with the cloud. For companies with very traditional structures, the transformation is much more difficult. Data geo-sovereignty, corporate policy compliance, security, and identity and access management are one of the biggest organizational difficulties when it comes to realizing a multi-cloud strategy. Low transparency regarding costs, and unclear cloud licensing models, are examples of the economic challenges faced. Another one along the same lines is a time-consuming billing process with different providers.

Planning and evaluating the multi-cloud strategy approach is not a cakewalk. Generally, companies are not in a position to steer multi-cloud operations all by themselves. Liaison between the ambitions and implementation has become necessary in the transition to hybrid and multi-Cloud architectures. Service providers and consultants are expected to take over a part of the responsibility for operating, orchestrating, and optimizing the company’s infrastructure.

The report, Gain the Ability for Cloud Agility: Assessing Enterprise Capacity to Embrace a Multi-Cloud Strategy, assimilates extensive interviews with top IT executives from corporations like Viacom, The Coca-Cola Company, DHL, Embraer, and others.

The key findings of the report include:

1. More and more real-time applications and connected devices hitting the market have led to explosive data growth in the Cloud – and businesses want to process that data to extract commercially valuable patterns and correlations.
2. Moving data across Cloud platforms seamlessly and without needing extra processing is a technical and economic challenge when it comes to utilizing Cloud-specific applications and lower-priced services – IT executives desire improvement in this area.
3. Data replication across multi-Cloud environments can be costly and complex – Enterprises are continuously looking for solutions that enable them to implement an intelligent multi-cloud strategy.

Solutions around Hybrid Cloud and Multi-Cloud strategies are coming up rapidly. Various architectures are being developed with capabilities across storage, networking, security, application deployment, and management tools. The purpose is to make it easy for customers to integrate the cloud as a seamless and secure extension of existing investments.

The post Cloud Agility & Flexible Multi-Cloud Strategy to Improve Data Management appeared first on Rapyder.

Here’s how Real Estate Can Benefit From Cloud Computing

1.   Cost-effective

2.   Remote Accessibility

3.   Increased Security

4.   Data Insights

5.   Superior Customer Experience

6.   Timely Upgrades

7.   Data Recovery

8.   Better Control of Data

9.   Enhanced Collaboration

10.   Disaster Management and Mitigation

1. Cost-Effective

Real estate sector depends on IT more day by day. But having an in-house infrastructure can be highly expensive since it will involve hiring resources and maintaining server and infrastructure costs. But migrating to a cloud can keep the costs to a minimum. The infrastructure used for Cloud is that of the service provider; it offers a pay-as-you-go model.

2. Remote Accessibility

Cloud enables files to be accessible from anywhere and on any device as long as you have a working internet connection. This will help in the real estate sector when carrying out a client visit that will showcase your recent work or upcoming projects as a reference. All the necessary information will be at your fingertips. Cloud also enables staff to be more productive by overcoming disruptions when physical meet is impossible during the pandemic. In such situations, having cloud accessibility makes it faster to communicate with clients in real-time.

3. Increased Security

IT security is a significant concern for most businesses. Implementing robust security can be expensive and challenging with limited budgets. Opting for Cloud can help resolve this. Cloud service providers utilize the most advanced tools to protect data and deploy next-gen firewalls with intrusion and malware protection to keep cybercriminals away from servers and data.

4. Data Insights

Data is an integral part of decision-making in providing insights that can help improve productivity, cost-effectiveness, marketing, web design, and more. Cloud technology helps analyze and centrally manage data by providing insights to drive the business forward. It helps map customer journeys across all touchpoints, ensuring consistent communications. The data also can help pinpoint poorly performing pages so that quick comebacks can be made such that customers stay on the page for longer, which, in turn, helps gain an advantage over competitors.

5. Superior Customer Experience

As per the latest research, 86% of customers are willing to pay more if offered a better customer experience. Migrating to the Cloud provides an added advantage in providing excellent customer experience swiftly and cost-effectively. Using the Cloud helps businesses provide information to buyers and sellers without visiting the premises physically. To take cloud usage to the next level, some real estate agents even offer financial calculation tools, virtual tours, online form fills, customer service chatbots, omnichannel messaging, etc. This helps buyers and sellers make an informed decision and, in the long run, fosters strong relationships that lead to better reviews and online reputations.

6. Timely Upgrades

With cloud computing, the real estate sector does not have to worry about software upgrades. The latest updates are generally taken care of by cloud service providers. This leads to saving on investments that must be done towards maintaining servers and infrastructure that comes with on-premises servers.

7. Data Recovery

Data loss in the Cloud is minimal as cloud service providers store all the data in the Cloud. In case of emergencies, there is no threat of data loss. SMEs generally cannot afford to make considerable investments in allocating budgets toward expensive disaster recovery systems. Cloud computing has helped these businesses to thrive by providing cloud-based storage solutions that help safeguard their data.

8. Better Control of Data

Before the advent of the Cloud, employees had to send files back and forth before zeroing in on the final document. This could lead to errors and reduced accuracy. It would not be evident with multiple file versions being tossed back and forth. However, with cloud computing, multiple users can access the same file from different locations and suggest real-time changes, leading to a reduced error rate.

9. Enhanced Collaboration

Improving collaboration across teams and taking your business on international platforms, overcoming geographical barriers and time zones can be easily handled through cloud computing. Teams from different parts of the world can access the same document from anywhere and collaborate to perform better and more time-efficiently.

10. Disaster Management and Mitigation

Cloud-based technologies are expected to only increase in disaster mitigation and management. The losses incurred by the real estate sector because of natural disasters or other calamities have been an area of concern for quite some time. With cloud-based technologies, disaster management can be handled better and more efficiently, saving lives and minimizing the cost of repair and maintenance.

With the rapid rate at which cloud technology is growing, it has become imperative that all sectors adopt the latest technology to meet consumers’ heightened expectations. The Real Estate sector will need more agile environments to function better. It is now more than essential to move to faster technology like Cloud to achieve business continuity and meet customer expectations to stay competitive and relevant. Compared to 2020, cloud computing increased by 41% in the real estate industry. Job opportunities are also booming because of the integration of cloud technology, making way for new opportunities like Virtual Valuation Advisor and Virtual Leasing Manager, which greatly help during the pandemic. Cloud is how to move forward for any sector, especially in real estate.

Contact us to know how Rapyder can help your business successfully leverage the Cloud.

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Eleven months ago, when technology enthusiasts did some crystal gazing, the world of the cloud computing market was on a standard growth trajectory. Things were going well– enterprises were investing in cloud technologies, more workloads were moving to cloud, and a few conventional industries were opening up to the inevitability of cloud. Nonetheless, there was nothing extraordinary –till COVID-19 happened.

In many ways, the global pandemic has been a watershed moment for the technology industry. Technology and tech leaders were pushed right into the middle of the action, where workforce distribution models were enabled, digital agendas were accelerated, and some of the biggest shifts were facilitated almost overnight.

The role of cloud computing has never been more important in this context. According to Gartner research, cloud system infrastructure services spending is expected to grow from $44 billion in 2019 to $63 billion in 2020 to $81 billion by 2022—marking a solid, exceptional growth.

“The proportion of IT spending allocated to cloud will accelerate even further in the aftermath of the COVID-19 crisis”, said Ed Anderson, Distinguished VP Analyst, Gartner.

Digital emerges as the biggest cloud catalyst

A recent survey conducted by Mckinsey brings out some surprising numbers. A large majority of the companies that took part in the survey said that they had accelerated the digitization of their customers, supply-chain interactions, and their internal operations by three to four years, while the share of their digital or digitally enabled products has accelerated by seven years! This indicates how dramatically the pre-crisis pace of change has been disrupted in a few months.

Digital has been at the core of global disruption that industries are undergoing. If we analyze progress in the last 6 to 10 months, the global pandemic compelled two biggest paradigm shifts in how enterprises operated—one, the massive shift to work-from-home models, and the second, the rapid adoption of digital channels and digital customer engagement models. Both these changes required technology leaders to acquire digital skills at the organizational level rapidly.

In many ways, from nimble organizations to some of the most conventional firms, the need to leverage cloud to stay agile, flexible, and scalable came through far more clearly at this stage. It was imperative to embrace cloud as the foundational platform to embrace digital.

Reorienting to the new normal with cloud

The last few months have been a great learning experience for business and technology leaders. Well past the initial ‘response’ phase, organizations must plan and prepare for recovery and business growth. Technology leaders’ new mandate includes building new capabilities to help their organizations thrive beyond the crisis. They must also reduce costs significantly while at it. As a CIO catapults into a highly strategic role, this balancing act requires them to look at a more stable, reliable, and secure platform like cloud.

Cloud is at the center of organizations’ rebound strategies. Organizations higher up in the cloud adoption curve have already experienced the platform’s benefits while the pandemic necessitated radical changes. These organizations are directing their IT investments toward cloud to protect and grow revenues in the new normal.

At the same time, some organizations were literally ‘forced’ into adopting cloud models during the pandemic to stay afloat. Having seen how the lack of an agile cloud platform can put a spoke in the wheel during adversities, these organizations are now heavily focusing on cloud. These categories of organizations are unprecedentedly driving cloud investments in 2020 and 2021.

Is Cloud Computing Adoption and Investment a fad?

Cynics are warning us that the spike in cloud investment is owing to the sudden shift to WFH and that it might fizzle out eventually. But the fact is, many of the COVID-induced shifts are rather permanent—be it WFH, remote learning, or digital.

The market realities in the next normal are likely a far cry from what businesses are accustomed to. There is, in all possibility, no return to the old normal. In the new world order, organizations must develop capabilities that help them respond to the unknown and embrace change with agility. 2020 has taught us that being ‘Cloud-first’ or ‘Cloud-smart’ is a prerequisite, not a choice.

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This is due to two main reasons – incompatible solutions and immature security offerings that fail to secure deployments, putting the business at risk of cyberattacks like data breaches.

One sector that has witnessed a rapid increase in IoT adoption is healthcare. For instance, Chicago is installing cameras and sensors at most intersections. Their goal is to detect pollen count and air quality for its citizens. Or, the City of Newport deployed smart city IoT solutions to improve air quality, flood control and waste management. It’s easy to say IoT is the latest buzzword for discussion and implementation. n fact, according to Machina Research, the global IoT market is all set to reach $4.3 trillion by 2024.

However, while enterprises and states are eager to leverage IoT to bring better business opportunities, adopting a secure IoT security is still a concern to be thought about. In this article, we will discuss the common IoT security concerns across industries, the best practices to address those IoT security problems, and how you start your AWS journey to mitigate security and privacy in IoT.

IoT security vulnerabilities and challenges

One of the biggest reasons IoT ecosystems are not considered secure is that the connected features and devices are not ‘protected’ by default. There is also no automatic update to critical IoT security practices such as encrypted communication. So most of the connected devices in the ecosystem remain outdated, increasing IoT issues.

What makes IoT security concerns worse is that very few providers support the ability to patch the devices and gateways remotely after implementation. This further leaves room for security risks, as any connected devices can be hijacked.

The main target points in the IoT layers are the devices, the network and connections, and the cloud infrastructure. With over 12,000+ malware strains being introduced into the digital landscape, there are many ways in which connected devices can be hacked into. The changing nature of these cyberattacks worsens IoT security problems.

“With 25 billion connected things by 2021, wireless networks and data will open new business opportunities. But it will also open doors to never-seen-before security threats.” Gartner

IoT security challenges are in every industry. Right from smart homes to manufacturing plants and connected cars, it is only the severity of the impact that varies—for example, a connected device in the healthcare IoT ecosystem. If the connected health device gets hacked, it might result in administering too much medication to a patient. This can be life-threatening.

Similarly, imagine IoT security problems in a water supply grid. An overflow without preparations can be disastrous. So how do you leverage IoT as technology and yet ensure security?

IoT security best practices 

The measures you implement to address IoT security challenges vary depending on your application and your location in the ecosystem. But a few best practices that need to be followed across all industries and applications, including:

1. Incorporate security measures at the design phase

Devices in an IoT ecosystem share large amounts of sensitive data. Users connected to the network are also given the ability to control these devices. That makes it necessary to address security at the design phase of the ecosystem, and it needs to be dynamic. Applications must continually model, monitor and iterate the IoT security best practices.

Not most physical devices have a limited lifecycle. The constrained hardware for sensors, microcontrollers, actuators, and embedded libraries limit each device’s security capabilities. Therefore, please consider that the solutions you implement continuously adapt their architecture, firmware, and software to ensure IoT security.

2. Build on robust IT security and cybersecurity frameworks

When considering connecting thousands of devices and establishing connection points to create an IoT ecosystem, it is essential to ensure objects’ ability to exchange and use data. That’s where building this ecosystem on top of robust frameworks like AWS comes in to counter the Internet of Things security issues.

The AWS IoT core supports all industry-standard and customer protocols, adhering to best practices to address the Internet of Things security and privacy issues. This also allows devices in the ecosystem to communicate with one another even if they’re using different protocols.

Some of the benefits of using AWS to address IoT security challenges include:

• Easy scalability with the ability to repeat and reuse frameworks
• Promotes the compatibility of technology in the ecosystem
• Ensures interoperability across geographical boundaries
• Accelerates IT transformation

3. Measure impact to prioritize security measures 

Cyber attacks are never identical. They also might not have the same impact on two businesses in the same industry. That’s why it is important to continually analyze the changing customer IoT ecosystems and how the devices operate within this ecosystem. This helps you identify the weakest points in the network that are prone to more significant risks.

Doing so is possible when you closely assess the risk impact and consequences. The analysis helps you derive actionable in terms of where your security efforts need to be directed.

4. PKI and other digital certificates 

Another best practice for addressing the security vulnerabilities and challenges of the Internet of Things is establishing a public critical infrastructure (PKI). Along with 509 digital certificates, it plays a critical role in developing a secure IoT ecosystem. It provides the trust and control needed to identify public encryption keys, secure data exchanges over networks and verify object identities.

5. Consumer education and team integration  

Consumers must be made aware of the Internet of Things security issues. They should then be equipped with the steps to ensure IoT security at all times – even as simple as updating their default credentials and applying software updates regularly.

Besides training your team on IoT challenges and issues, it is also essential to integrate siloed teams. For instance, you ask your technology developers to work closely with security specialists. This joint effort can ensure that proper controls are being added to objects in the ecosystem during the development phase, ensuring security and privacy in IoT.

Addressing IoT security issues with AWS 

Embracing IoT in your business process requires you to rethink how industrial systems are designed and used. It requires you to identify processes that can be optimized using the technology and build security into the roots of the connected devices to shield them from cyber-attacks throughout their lifecycle.

Analyzing your business needs, vetting the available IoT security solutions and implementing them can be overwhelming. The chances of missing out on critical information might put you at a high-risk post-implementation.

That’s where AWS comes in. The cloud computing solutions implemented enable IoT to scale globally, lowering communication latency and allowing better responsiveness from the on-field devices.

AWS also offers a suite of IoT services. With services to operate and secure endpoints, gateways, platforms and applications in the ecosystem, as well as the traffic through the IoT layers, it simplifies the management and use of devices. This enables devices to interact with one another and transfer data continually, allowing companies to benefit from the technology without being prone to IoT risks and challenges( Learn more about it here ).

Simply put, AWS makes your IoT ecosystem more efficient while ensuring security at all endpoints.

But understanding the nuances of AWS and implementing the right solutions for your IoT application can be overwhelming. Working with AWS advanced consulting partners like Rapyder can help you tread the AWS journey easily.

Rapyder offers leading IoT security solutions and services to help you build a robust ecosystem. An ecosystem that protects all your connected objects through their entire lifecycle against the ever-changing nature of cyberattacks.

The IoT security team guides you every step of the way to ensure you get the most out of the technology. They assess your business’s current needs, evaluate your future needs and get you the right combination of reliable and scalable IoT security solutions that can adapt to changes without slowing down existing processes.

So whether you’re re-evaluating an existing connected device or designing a new one, it’s time to get Rapyder on your side.

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The second a company needs more bandwidth than usual, a cloud-based service can instantly meet the demand because of the vast capacity of the service’s remote servers, and this enables businesses and research groups to be more efficient and output-oriented rather than being tangled in the logistics of resources. Companies relying on cloud-based services no longer need complex disaster recovery plans. We look at some points where cloud computing has driven innovation in the health, education, and lifestyle industry.

Introduction of technology in Education: Gone are the days when schools had to buy big machines/hardware to teach kids how to program or run applications. With computing power shifting to the internet, it can be done remotely and presented to kids sitting far away. Suppose a school or agency wants to launch a new innovative program. In that case, it can leverage cloud infrastructure without acquiring significant hardware, lowering both time and cost barriers to deployment. Cloud computing services typically pay as you go, so there’s no need for capital expenditure. And because cloud computing is much faster to deploy, educational institutions have minimal project start-up costs and predictable ongoing operating expenses. Also, cloud computing means more researchers have access to massive raw computing power, so they can run intensive applications on the server rather than worrying about what computer to buy.

Health Industry: With many healthcare services being based increasingly on cloud computing platforms, cloud-based applications are noticing a surge across the healthcare industry, changing the very definition of healthcare. The effort is skewed to be more patient-centric and data-driven. Instead of focusing on healthcare employees, the cloud is rapidly adopted in other sectors like operating models, service offerings, collaborative capabilities, and end-user services. The abovementioned cost factor applies heavily to developing countries where healthcare services are under-invested. They can start new projects relatively carefree on the cloud. This induces innovation and a technological shift towards better services.

Lifestyle and business: The most significant lifestyle change is the pervasion of the internet in our daily lives. The data you access online to shop, whether Amazon or Flipkart, is stored on a cloud server. Social media is another area where cloud computing is of essential importance. As long as employees have internet access, they can work from anywhere. This flexibility positively affects knowledge workers’ work-life balance and productivity. BYOD devices contribute to this. Businesses are shifting to cloud computing, too, because of obvious cost and logistics reasons. It just makes good sense. If a company doesn’t use the cloud, workers have to send files back and forth over email, meaning only one person can work on a file at a time, and the same document has tons of names and formats.

Thus, the cloud computing paradigm is beneficial for businesses and all the sectors we discussed above and more. It is driving more profound innovations in universities and workplaces, making lives easier and saving lives daily.

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