Category Archives: Cloud Servers

Getting Started With Kubernetes at the Edge – Container Journal

Gartner estimates that only 10% of data is produced and handled outside of traditional data centers today. Because of the rapid spread of the internet of things (IoT) and increased computing power on embedded devices, this figure is expected to rise to 75% by 2025. McKinsey identifies over 100 possible edge computing use cases with a potential $200 billion in hardware value produced over the next five to seven years.

In this article, you will learn how Kubernetes is quickly becoming one of the most popular solutions used by businesses to incorporate edge computing. You will also learn about the benefits of edge computing, the specific benefits Kubernetes offers to assist with edge computing and how Kubernetes distributions could be used for edge computing.

Edge computing has received a lot of attention and has become somewhat of a buzz word, but what does it truly mean for a business? Lets look at some of the most significant advantages of edge computing.

For applications with vast volumes (and velocity and variety) of data, processing data at the edge may be more efficient than paying for the bandwidth necessary to process that data in the cloud. To lessen the strain on your own cloud servers, computation can be done on client devices such as the users PC or even their smartphone in some circumstances.

You may also limit the quantity of data in the long run by doing real-time processing at the edge and just transmitting lower granularity to the cloud for long-term historical analysis.

Moving the computing resources closer to users reduces latency, giving them a better experience. Because fewer round trips to data centers result in lower latency and lower bandwidth costs, new functionality and features become available.

End users will be more reliant on a well-designed application that takes advantage of edge computing. Even if a network connection to data centers is lost, critical work may still be completed by using edge computing capabilities.

Edge computing also could assist your architecture in eliminating single points of failure.

Edge computing can increase the security of your software application as well as the privacy of your users. When compared to a more traditional design, storing more data at the edge and away from centralized data centers helps limit the blast radius of security breaches.

Edge computing can also make it simpler to comply with data privacy requirements. Instead of transferring data to the cloud and keeping it, it can be processed on the users own device or at the edge before being erased or altered to eliminate personally identifying information.

Now that youre aware of the numerous advantages of implementing edge computing, the question is how to go about doing so. There are several possible alternatives, ranging from developing your own platform to using a service supplied by another organization. Another approach for dealing with edge computing is to use Kubernetes.

From a technological and economic standpoint, there are various advantages to employing Kubernetes for edge computing. Kubernetes is already technically intended for operating across data centers and coping with difficulties that are inherent in edge computing. As a result, the transition from multi-region data centers to various edge locations isnt all that difficult.

From a commercial standpoint, by selecting Kubernetes as your edge computing platform, you gain the advantages of the enormous community which, over time, saves you time by preventing you from having to implement several common features and guarantees the project is maintained and safe.

Kubernetes Distribution Options

There are various choices for edge computing with Kubernetes in terms of both architecture and Kubernetes distribution. These distributions address some of the issues that make use of conventional Kubernetes for edge computing difficult.

KubeEdge is probably a suitable option for explicit separation of edge and cloud as well as an overall Kubernetes deployment. KubeEdge provides an edge environment on a cloud platform and connects it to the main Kubernetes deployment through an edge controller. This results in a setup that is identical to a conventional Kubernetes deployment via both the edge and the core. However, administering the edge component is simpler since it requires less detailed rule-building to effectively guide edge pods to edge nodes and construct backup pathways. To access edge elements, KubeEdge additionally contains a lightweight, edge-centric service mesh.

K3s, a Rancher-developed small-footprint Kubernetes distribution thats designed for edge missions with limited resources, is another package that may be crucial for Kubernetes at the edge. The footprint of K3s can be half or even less than that of the typical Kubernetes distribution, and it is fully CNCF-certified such that both are powered by the same YAML configuration files. By establishing an edge cluster, K3s further isolates the edge from the cloud. This configuration is advantageous in situations when edge pods cannot operate outside the edge due to limitations on resources or latency reasons. However, K3s features non-redundant components that might be risky, including database components like SQLite, and it can be more challenging to manage a distinct K3s edge cluster if administrators can assign the same pods to both the edge and the cloud.

Canonicals MicroK8s is a powerful, Cloud Native Computing Foundation-certified Kubernetes distribution. Below are some of the key reasons, why it has become a powerful enterprise computing platform:

Additionally, MicroK8s can coordinate fully fledged cloud resource pools while having a tiny enough footprint to operate in environments with limited resources. Thus, MicroK8s is undoubtedly the edge Kubernetes solution that is the most edge-agile, and it does it without requiring a complicated installation or operation.

The most important question to ask when running Kubernetes at the edge is whether your organizations edge resources are comparable to those in the cloud. If they are, the more effective setup is a standard Kubernetes deployment with set node affinities and related pod-assignment parameters to steer edge pods to edge nodes. For this kind of setup, consider KubeEdge if the edge and cloud environments are symbiotic rather than unified.

The more dissimilar the edge and cloud environments or requirements are, the more logical it is to separate the two, especially if edge resources are insufficient to run standard Kubernetes. Use K3s or MicroK8s if you want common orchestration of both edge and cloud workloads.

The book IoT Edge Computing With MicroK8s gives a hands-on approach to building, deploying and distributing production-ready Kubernetes on IoT and edge platforms. This edition has 400+ pages of real-world use cases, scenarios to help you successfully develop and run applications and mission-critical workloads using MicroK8s. Some of the key topics covered are:

By the end of this book, youll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment.

The key takeaway here should be the adaptability of Kubernetes for edge computing. Companies of many sizes and in many sectors are leveraging Kubernetes capabilities to improve the efficiency and reliability of their applications.

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Getting Started With Kubernetes at the Edge - Container Journal

Recommendations in creating a data center recovery plan – Malaya

IT may be funny but there is a common misunderstanding that data stored in the Cloud means data just floating around somewhere so it can be retrieved at any time. The truth is, data stored and managed in the Cloud requires data centers, huge facilities that run either magnetic, optical or digital storage devices to keep and back-up (at least twice) all the data we let evaporate into the Cloud.

With the data center becoming the repository of all our informationpersonal and professional data, photos and illustrations, spreadsheets and documents, music and movies. Keeping these important artifacts intact at a data center also requires that the data center be constantly humming.

Data redundancy, fire-proofing hardware, software back-ups, cybersecurity protocols and power outage management all help the data center system administrators in keeping customers data intact and accessible on a physical level. Creating business continuity solutions for digital critical infrastructure starts with a disaster recovery plan that eliminates a common cause of data center downtime: human error.

Power management solutions expert Vertiv recommends evaluating all risks that include natural catastrophes like hurricanes, flooding, tornadoes, fires, earthquakes, and volcanoes or even radiation exposure, hazardous waste, or explosives. Once the risks are identified and evaluated, creating a secure evacuation plan follows. Human safety always comes first and an escape-and-rescue strategy to evacuate employees who may be in danger must be in place.

From another perspective, it also advises weatherproofing the data center, with appropriate precautions to protect against storms, flooding, or other weather-related threats. Earthquakes are another calamity that data centers are built to withstand. However, Vertiv still advises checking if servers are safely stored and secure in their racks. Doors should be sealed against strong winds and rain, making every effort to prevent any water from entering the server rooms because water is the enemy of the data center.

Back up data and check the generator. Every week, several data centers perform routine data backups keeping in mind that one back up is no back-up at all. In adopting a daily backup routine also consider the location of the backup data. A safe off-site storage is recommended. There is a tendency to set and forget a generator, but that piece of machinery requires maintenance and upkeep to ensure it performs as expected when needed. Test the generator regularly and ahead of any anticipated weather events. Line up at least three vendors to deliver fuel in the event of an extended outage.

Communicating with utilities and contacting vendors assures that there is continuity or at least a plan to ensure having a phone and internet connection, water, or power. Establish early communication with utility providers to create backup plans. Make a contact list and prepare a communication strategy. Prioritize the vendors on your list who must be contacted in an emergency. By doing these two more focus can be put on more pressing demands during the crisis.

Plan emergency staffing and trust the team. Local workers might not be available to work in a significant crisis. They might have evacuated, had severe issues travel or shelter issues. Find ways to guarantee to have a staff on-site, including emergency services and setting up crisis housing close to the data center. Gathering IT, facilities, security, HR, communications, legal, logistics, and information security and briefing key people of their roles during the crisis. If the typical lines of communication are unavailable, have a plan for communicating with that team.

Recommendations for administrative and technical aspects include confirming insurance coverage to check if additional protection for the infrastructure may be necessary, as continuity of business insurance can make up for lost revenue if the data center is down for a week. Remember the edge, is sound advice to oversee edge sites that sprout out from the vastness of a dispersed network where an enterprise data center today is merely a component. Many companies oversee numerous edge sites.

Vertiv puts particular attention to minding the Cloud service provider as a lot of data and applications are stored there. These cloud servers are located in a data center, and knowledge of the Cloud providers protection and response systems in an emergency is both an assurance and lesson from which best practices can be taken from.

Consider the opportunists. Hackers consider catastrophes like natural disasters as a chance to access networks when peoples attention is diverted elsewhere. Ensure your information and physical security personnel are ready to deal with cyber threats.

The right data center services provider may also join the team and adequately assist with the risk assessment required to plan for a disaster adequately. These infrastructure specialists are specially qualified to guarantee a prompt and secure recovery.

With its expertise, Vertiv brings together cutting-edge solutions and services to ensure uninterrupted operations, optimal performance, and scalability of data centers, communication networks, and other critical IT facilities.

To learn more about how Vertiv supports the continuity of todays vital business, visitVertiv.com.

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Recommendations in creating a data center recovery plan - Malaya

The Worldwide Telecom Cloud Industry is Expected to Reach $103.6 Billion by 2030 – Benzinga

Dublin, Sept. 29, 2022 (GLOBE NEWSWIRE) -- The "Telecom Cloud Market Size, Share & Trends Analysis Report by Component (Solution, Services), by Deployment Type, by Service Model, by Application, by Enterprise Size, by Region, and Segment Forecasts, 2022-2030" report has been added to ResearchAndMarkets.com's offering.

The global telecom cloud market size is expected to reach USD 103.6 billion by 2030, according to this report. The market is anticipated to expand at a CAGR of 19.9% from 2022 to 2030. A telecom cloud is a next-generation network architecture that integrates cloud-native technologies, network function virtualization, and software-defined networking into a distributed computing network. Orchestration and automation are essential since the computing and network resources are scattered across clouds and locations.

Telco Cloud refers to shifting communications service providers (CSPs) from vertically integrating proprietary hardware-based infrastructure networks to cloud-based technologies. It is mainly used in the telecom business to refer to multi-cloud computing. The propelling drivers of the telecom industry are increased customer satisfaction, corporate agility, cost savings, and others. Also, the usage of standard computational hardware and automation reduces CapEx and OpEx resulting in increased adoption of telco cloud in the telecommunication industry.

It also delivers innovative bespoke B2B solutions, such as telcos may bring highly customized corporate products to market rapidly and affordably. Telco cloud makes it simple to collaborate with business service partners by providing access to public cloud services from any device, at any time. Additionally, it protects your consumers and profits from competitors; for instance, the telco cloud enables operators to swiftly alter business models to test new goods, services, and pricing schemes.

It also makes setting up new consumer experiences and communication channels easier. Furthermore, the lower CapEX and OPEX needs of telco cloud, better service resilience, and capacity to respond swiftly to faults and demand changes allow operators to maintain service levels and competitive pricing. These advantages result in lower client attrition.

The top trends in the telecom cloud industry are hybrid cloud hosting, Cloud Native Network Functions (CNNF), and telecom cloud collaboration. A hybrid cloud merges private and public clouds where the software and data are interoperable and portable. It allows telcos to optimize the operations with various patterns to manage workload. It improves resource allocation, optimizes infrastructure spending, provides enhanced organizational agility, and offers the ability to scale using the public cloud and controls available in the private cloud deployment.

Also, in the case of CNNF, Software-defined networking is replaced by NFV (Network Functions Virtualization), which provides more independence from proprietary servers and hardware. It provides a cloud-native architecture that combines VNFs and CNFs while adopting 5G features. This will provide maximum market coverage to telecom businesses looking to expand their services. Moreover, telecom cloud collaboration includes partnerships between hyperscalers and telcos which constitute a major cloud computing trend transforming the business.

Cloud service providers and telecom enterprises join forces to expand edge computing collaboration and 5G. Telecom cloud service providers are increasing their connectivity with the help of technology advancement to gain a competitive edge over their peers and capture a significant market share.

Telecom Cloud Market Report Highlights

Key Topics Covered:

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Market Variables, Trends, & Scope Outlook3.1. Market Segmentation3.2. Telecom Cloud Market Size & Growth Prospects3.3. Telecom Cloud Market - Value Chain Analysis3.4. Telecom Cloud Market Dynamics3.4.1. Market Driver Analysis3.4.2. Market Restraint Analysis3.4.3. Market Opportunity Analysis3.5. Telecom Cloud Penetration & Growth Prospects Mapping3.6. Telecom Cloud Market - Porter's Five Forces Analysis3.6.1. Supplier power3.6.2. Buyer power3.6.3. Substitution threat3.6.4. Threat from new entrant3.6.5. Competitive rivalry3.7. Telecom Cloud Market - PEST Analysis3.7.1. Political landscape3.7.2. Economic landscape3.7.3. Social landscape3.7.4. Technology landscape3.8. COVID-19 Impact Analysis

Chapter 4. Telecom Cloud Market Product Outlook4.1. Telecom Cloud Market, By Component Analysis & Market Share, 2021 & 20304.2. Solution4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)4.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)4.3. Services4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)4.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)4.3.3. Professional Services4.3.3.1. Market estimates and forecasts, 2017 - 20304.3.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)4.3.4. Managed Services4.3.4.1. Market estimates and forecasts, 2017 - 20304.3.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)

Chapter 5. Telecom Cloud Market Deployment Type Outlook5.1. Telecom Cloud Market, By Deployment Type Analysis & Market Share, 2021 & 20305.2. Private5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)5.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)5.3. Public5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)5.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)5.4. Hybrid5.4.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)5.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)

Chapter 6. Telecom Cloud Market Service Model Outlook6.1. Telecom Cloud Market, By Service Model Analysis & Market Share, 2021 & 20306.2. Software as a Service (SaaS)6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)6.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)6.3. Platform as a Service (SaaS)6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)6.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)6.4. Infrastructure as a Service (SaaS)6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)6.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)

Chapter 7. Telecom Cloud Market Applications Outlook7.1. Telecom Cloud Market, By Applications Analysis & Market Share, 2021 & 20307.2. Network, Data Storage, and Computing7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)7.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)7.3. Traffic Management7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)7.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)7.4. Cloud Migration7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)7.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)7.5. Others7.5.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)7.5.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)

Chapter 8. Telecom Cloud Market Enterprise Size Outlook8.1. Telecom Cloud Market, By Enterprise Size Analysis & Market Share, 2021 & 20308.2. Large Enterprises8.2.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)8.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)8.3. SMEs8.3.1. Market estimates and forecasts, 2017 - 2030 (USD Billion)8.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Billion)

Chapter 9. Telecom Cloud Market: Regional Estimates & Trend Analysis

Chapter 10. Competitive Analysis10.1 Recent Developments and Impact Analysis, by Key Market Participants10.2 Company/Competition Categorization (Key Innovators, Market Leaders, Emerging, Niche Players)10.3 Vendor Landscape10.3.1 Key company market share analysis, 202110.3.2 Company Analysis Tools10.3.3 Market Position Analysis10.3.4 Competitive Dashboard Analysis

Chapter 11. Competitive Landscape11.1. Company Profiles11.2. Juniper Networks, Inc.11.2.1. Company overview11.2.2. Financial performance11.2.3. Type benchmarking11.2.4. Strategic initiatives11.3. IBM Corporation11.3.1. Company overview11.3.2. Financial performance11.3.3. Type benchmarking11.3.4. Strategic initiatives11.4. Mavenir11.4.1. Company overview11.4.2. Financial performance11.4.3. Type benchmarking11.4.4. Strategic initiatives11.5. Affirmed Networks11.5.1. Company overview11.5.2. Financial performance11.5.3. Type benchmarking11.5.4. Strategic initiatives11.6. Fortinet11.6.1. Company overview11.6.2. Financial performance11.6.3. Type benchmarking11.6.4. Strategic initiatives11.7. Orange11.7.1. Company overview11.7.2. Financial performance11.7.3. Type benchmarking11.7.4. Strategic initiatives11.8. Huawei Technologies Co., Ltd.11.8.1. Company overview11.8.2. Financial performance11.8.3. Type benchmarking11.8.4. Strategic initiatives11.9. VMWare11.9.1. Company overview11.9.2. Financial performance11.9.3. Type benchmarking11.9.4. Strategic initiatives11.10. Cisco11.10.1. Company overview11.10.2. Financial performance11.10.3. Type benchmarking11.10.4. Strategic initiatives11.11. Nokia11.11.1. Company overview11.11.2. Financial performance11.11.3. Type benchmarking11.11.4. Strategic initiatives11.12. Ericsson11.12.1 Company overview11.12.2 Financial performance11.12.3 Type benchmarking11.12.4 Strategic initiatives

For more information about this report visit https://www.researchandmarkets.com/r/ikxoga

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The Worldwide Telecom Cloud Industry is Expected to Reach $103.6 Billion by 2030 - Benzinga

Hybrid cloud analytics: The future is now – ITWeb

Chris Pallikarides

Becoming a data-driven organisation in a world of exponential data growth could prove challenging and costly for most organisations. But hybrid cloud infrastructure offers the solution to future-proof analytics capability.

Moving to the cloud is no longer a question of if, but more about when, what and how? Having started with low-risk data analytical applications and low-hanging fruit, businesses are now moving more and more workloads to the cloud for agility and scale.

At the same time, companies in almost every industry are on a quest to become completely data-driven. Therefore, it is not enough to move only IT services and technology infrastructure to the cloud: to be truly data-driven, companies need to be able to analyse their data, wherever it may reside on-premises or across multi-cloud environments.

In a report, research company 451 Research highlights the following:

However, Gartner notes data and analytics activities now extend to the edge, across distributed devices, servers or gateways located outside data centres and public cloud infrastructure. Analysts estimate that by 2025, more than 50% of enterprise-critical data will be created and processed outside the data centre or cloud.

The intersection of hybrid cloud and data analytics should be a hybrid cloud analytics strategy underpinned by hybrid data warehousing or data lake technology, which will enable enterprises to support analysis of data where it resides on-premises or in the cloud.

Because they are so scalable, cloud environments are particularly appropriate for analytics involving massive volumes of data. They put less strain on on-premises systems, potentially at a lower cost.

Because they are so scalable, cloud environments are particularly appropriate for analytics involving massive volumes of data.

One client, a major online betting operator, processes between 200 million and 600 million records per day. Simply reporting on the days records took four or five hours a day using on-premises servers. Adding further analytics capabilities on-premises would put significant strain on systems and risk causing poor performance and downtime.

The organisation is now moving to a cloud environment, which will slash the time to compile reports, and the organisation will also be positioned to carry out more detailed analytics to support further innovation and growth.

Another client, a mid-sized manufacturer, has moved to a cloud environment to run analytics for better stock loss management. The companys on-premises infrastructure was not up to the demands of ongoing analytics, but a scalable cloud environment will allow it to gain insights to reduce losses and improve profits.

There are some important factors to consider before moving to a cloud-based or hybrid cloud analytics model: for one, data volumes are exploding, making it important to consider what data and how much of it will be hosted and processed in the cloud.

Organisations should determine what workloads existing systems manage, and whether analytics would put strain on them. If on-premises infrastructure is not up to the task, organisations should consider which workloads should be moved to which clouds, and how they will be integrated.

For high-speed data processing in the cloud, organisations will need to link multiple streams of data from different sources, such as the ERP, CRM and HR payroll systems, and big data platforms like Hadoop and Cloudera.

They should also consider stakeholder concerns around security and data sovereignty. Should these be a key priority, they should look to running on a private cloud, or in a public cloud with localised data centres, such as AWS or Azure.

Another factor to bear in mind is that poorly-considered cloud migrations can prove costly, and costs can run away with you if not properly controlled. It is important to set limits and governance rules to ensure cloud use doesnt scale over.

With a carefully-planned strategy, analytics in a hybrid cloud environment can deliver significant value and a faster ROI. Because the cloud is agile and scalable, environments can be spun up and down as needed, meaning organisations will always have access to sufficient capacity, with no wasted Capex and no risk to daily operations.

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Hybrid cloud analytics: The future is now - ITWeb

PIPEDA Findings #2022-004: Investigation into MGM breach highlights how to assess risk, and need for timely assessment – Office of the Privacy…

PIPEDA Findings #2022-004

19 May 2022

In February 2020, the Office of the Privacy Commissioner of Canada (the OPC) became aware of media reports regarding a large-scale data breach MGM suffered in 2019. Not having received a breach report on the matter, the OPC engaged with MGM to obtain additional information about the breach and the involvement of any personal information belonging to Canadians.

After receiving confirmation that Canadian personal information was affected by the breach, considering the potential impact on Canadians who were affected but had not yet been notified of the breach, and considering the significant passage of time since MGMs confirmation of the breach, the Commissioner initiated a complaint to investigateFootnote 1 whether MGM had complied with its mandatory breach reporting obligations under PIPEDA.Footnote 2

Our investigation found that MGM contravened the mandatory breach reporting provisions of PIPEDA. While MGM determined that there was a breach of its security safeguards in the summer of 2019, MGM failed to promptly assess whether the breach posed a real risk of significant harm (RROSH) to affected Canadians. We found that the breach posed a RROSH and that MGM did not report the breach to the Privacy Commissioner or notify affected individuals as soon as feasible.

In response to recommendations by our Office, MGM agreed that it would make amendments to its privacy breach response framework or process by 30 June 2022, to ensure that where MGM learns of a breach that may involve personal information of Canadian residents: (a) MGM will promptly conduct a RROSH assessment, consistent with the OPCs published guidance; and if MGM determines that such a breach gives rise to a RROSH, MGM will, as soon as feasible (b) provide a report to the Privacy Commissioner, and (c) notify affected individuals.

We therefore find the matter to be well-founded and conditionally resolved.

Under subsection 11(2) of PIPEDA, the Commissioner may initiate a complaint if he is satisfied that there are reasonable grounds to investigate a matter under Part 1 of PIPEDA.

Return to footnote 1

PIPEDA s 10.1

Return to footnote 2

ZDNet, Exclusive: Details of 10.6 million MGM hotel guests posted on a hacking forum, February 19, 2020; The New York Times, MGM Resorts Says Data Breach Exposed Some Guests Personal Information, February 19, 2020

Return to footnote 3

As discussed later in the report, the posting was removed from the hacker forum but later reappeared for sale on the dark web.

Return to footnote 4

Under subsection 11(2) of PIPEDA, the Commissioner may initiate a complaint if he is satisfied that there are reasonable grounds to investigate a matter under Part 1 of PIPEDA.

Return to footnote 5

PIPEDA s 10.1.

Return to footnote 6

Breach of Security Safeguards Regulations: SOR/2018-64.

Return to footnote 7

PIPEDA s 10.1(1).

Return to footnote 8

PIPEDA s 10.1(3).

Return to footnote 9

PIPEDA s 10.1(2) and s 10.1(6).

Return to footnote 10

An attempt by a third party to solicit confidential information from an individual, group, or organization by mimicking or spoofing, a specific usually well-known brand, usually for financial gain. Phishers attempt to trick users into disclosing personal data, such as credit card numbers, online banking credentials, and other sensitive information, which they may then use to commit fraudulent acts. See the Canadian Centre for Cyber Securitys glossary

Return to footnote 11

OPC, What you need to know about mandatory reporting of breaches of security safeguards (October 2018)

Return to footnote 12

Examples of OPCs published guidance: OPC, What you need to know about mandatory reporting of breaches of security safeguards (October 2018); and OPC, 2019 Breach record inspections (September 2020)

Return to footnote 13

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PIPEDA Findings #2022-004: Investigation into MGM breach highlights how to assess risk, and need for timely assessment - Office of the Privacy...

Accelebrate Joins AWS Training Partner Program to Deliver AWS Cloud Skills Training to IT Professionals online and at client sites – PR Web

Steve Heckler, Accelebrates president, commented We are honored to partner with AWS to teach AWS Cloud Practitioners, Architects, Developers, DevOps Engineers, and others how to take full advantage of the worlds most powerful cloud computing platform.

ATLANTA (PRWEB) September 28, 2022

Accelebrate Joins AWS Training Partner Program to Deliver AWS Cloud Skills Training to IT Professionals online and at client sites.

On August 30, 2022, Accelebrate, an IT training firm offering customized, private technical training, announced it has been approved by Amazon Web Services (AWS) to deliver online and on-site authorized AWS Training to learners at companies, government agencies, and other organizations. Accelebrate has joined the AWS Training Partner Program, which will enable Accelebrates AWS Authorized Instructors to deliver training developed by AWS.

As cloud technologies continue to help organizations transform their businesses at a rapid pace, employees with the necessary cloud skills are in high demand. Research shows that 85% of organizations report deficits in cloud expertise (451 Research, Voice of the Enterprise (VotE): Cloud, Hosting & Managed Services, Organizational Dynamics 2020, part of S&P Global Market Intelligence). The AWS Training Partner Program is designed for organizations like Accelebrate that meet or exceed rigorous criteria for delivering or offering high-quality technical training experiences. Accelebrate delivers AWS Training that enables IT professionals and businesses to leverage the power of the AWS Cloud for computing, data storage, and data science.

As an AWS Training Partner, Accelebrate delivers AWS training for all levels and roles, taught by expert instructors at your offices or online. Accelebrate prides itself on tailoring training to the needs of your learners and organization. This includes conducting an AWS Learning Needs Analysis (LNA) to assess the teams skills, identify gaps, and recommend training to close those gaps.

Accelebrates official AWS Classroom Training courses are taught by AWS Authorized Instructors with deep experience who help organizations to grow their AWS skill sets and prepare their staffs to pass the AWS certification exams. Accelebrate offers courses covering AWS Cloud Practitioner, Architect, Developer, Operations, Security, and Data Analysis and Machine Learning.

AWS Training is developed and maintained by AWS experts, ensuring the content reflects current best practices. AWS Classroom Training gives learners the opportunity to engage live and get questions answered by an expert instructor. Many courses also include hands-on labs, which allow learners to practice real-world scenarios in a sandbox environment. Training also helps prepare learners for AWS Certification exams, which validate technical skills and expertise with an industry-recognized credential.

Steve Heckler, Accelebrates president, commented We are honored to partner with AWS to teach AWS Cloud Practitioners, Architects, Developers, DevOps Engineers, and others how to take full advantage of the worlds most powerful cloud computing platform. We are especially looking forward to supporting our data science training clients as they shift their workloads to the cloud and take advantage of native features unique to the AWS platform.

Accelebrate also offers AWS Certification vouchers bundled with AWS Training courses to make it easier for customers looking to validate cloud skills.

Organizations need individuals with cloud skills to help transform their business, and there is a growing demand for IT professionals with AWS Cloud skills. AWS Training and Certification, along with our AWS Training Partners like Accelebrate, aims to equip the builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. AWS Training, designed by the experts at AWS, teaches in-demand cloud skills and best practices, and helps learners prepare for AWS Certification exams so they can advance their careers and transform their organizations.

As cloud technologies continue to help organizations transform their businesses at a rapid pace, employees with the necessary cloud skills are in high demand. The AWS Training Partner Program is designed for organizations like Accelebrate that meet or exceed rigorous criteria for delivering or offering high-quality technical training experiences. As part of the program, Accelebrate delivers AWS Training to enable IT professionals and businesses to leverage the power of the AWS Cloud.

Maureen Lonergan, Director, AWS Training and Certification

About AccelebrateIn 2002, Steve Heckler founded Accelebrate with one laptop and himself as the sole instructor. In the following 20 years, Accelebrate has grown to consistently deliver more than 1,000 days/year of private training for over 15,000 employees, with classes delivered in-person and online for attendees from every US state, every Canadian province, and more than 30 countries. Media Contact:

Website: http://www.accelebrate.comEmail: info@accelebrate.comPhone from US and Canada: tel:8778491850Phone worldwide: tel:16786483113LinkedIn: https://www.linkedin.com/company/accelebrateFacebook: https://www.facebook.com/accelebrate/Twitter: https://twitter.com/accelebrateYouTube: https://www.youtube.com/c/accelebrateinc

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Accelebrate Joins AWS Training Partner Program to Deliver AWS Cloud Skills Training to IT Professionals online and at client sites - PR Web

The Global Cloud Native Storage Market size is expected to reach $41.9 billion by 2028, rising at a market growth of 22.3% CAGR during the forecast…

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A new approach to create and run software applications is termed, cloud native. Some examples of cloud-native include cloud computing, containerization, serverless architectures, and microservices.

New York, Sept. 29, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Cloud Native Storage Market Size, Share & Industry Trends Analysis Report By Component, By Deployment Type, By Organization Size, By Vertical, By Regional Outlook and Forecast, 2022 - 2028" - https://www.reportlinker.com/p06321920/?utm_source=GNW A storage solution created specifically for use in a cloud-native environment is known as cloud-native storage.

In cloud-native environments based on Kubernetes or other cloud native infrastructure, a cloud-native storage platform offers responses to ongoing data storage concerns as well as data management for domain-specific applications. New product storage technology, block storage, or conventional disc drives can all be used as the basis for object storage solutions in a distributed architecture.

The capacity to access data in the event of a breakdown, whether it be in the storage medium, controller, transmission system or any other component, is known as storage system availability. Storing redundant copies of data on another storage device, managing failover to redundant devices in case of failure, and fixing and restoring broken components are the three components of storage availability.

An increase in the investment in cutting-edge technology is the main element driving the growth of the market for cloud-native storage. Due to the necessity of Kubernetes, the cloud infrastructure stack has been greatly reduced in terms of cloud native storage and object storage, which allows network as well as portable storage.

COVID-19 Impact Analysis

Compared to the pre-COVID-19 situation, a greater demand for file storage systems is anticipated. During the forecast period, it is anticipated that the impact of Covid-19 will cause a noticeably high rate of market growth. As businesses transition to remote working environments, employees may collaborate & stay connected owing to cloud-based solutions. With the growing use of collaboration as well as conferencing tools by the distant workforce, the COVID-19 pandemic hastened the adoption of cloud-based storage.

Market Growth Factors

Rising Need Of Automation In Application Updates

Businesses can build automated platforms for constant testing and deployment using cloud native architecture. Every six months or so, banks would conduct system changes that were very carefully planned out, and they would tell consumers in advance of any projected downtime by publishing on banking websites. The majority of banking and financial apps, on the other hand, would probably update every week or even each day if they had native cloud storage, without having to halt operation or alert users.

Faster Data Backup And Recovery Growing The Demand For Cloud Native Storage

Automation and adaptability in cloud native storage boost flexibility, dependability, and availability. The advantage of automation in cloud native storage is that if something goes wrong, lost data can be quickly restored without having to halt the service. Data handling with block storage is made easier by using cloud native storage, which includes features such as cross-cluster disaster recovery, automated updating, as well as volume encryption.

Market Restraining Factors

Network Use And Latency Problems With Public Cloud

There are latency issues with the public cloud while storing & receiving data. Losing end-to-end network control when data is collected in the public cloud, together with high latency, can have a disruptive impact on how apps operate. Similar network troubles on the side of the provider of cloud native storage could interrupt storage solutions, which eventually causes work to stop and major losses for businesses. Additional sources of latency issues include insufficient Internet bandwidth, remote data center locations, and high network traffic.

Component Outlook

Based on component, the cloud native storage market segmented into solutions (file storage, block storage, object storage), and services. In 2021, the solutions segment dominated the cloud native storage market by generating the maximum revenue share. This is because they provide unstructured data storage without the scaling issues associated with conventional file storage. Instead of managing data as files or folders, object storage handles data as objects, which are stored in a single, sizable repository that may be dispersed across several physical storage devices.

Organization Size Outlook

On the basis of organization size, the cloud native storage market is fragmented into large enterprises, and SMEs. In 2021, the large enterprise segment held the highest revenue share in the cloud native storage market. In comparison to SMEs, major organizations have adopted cloud native storage more quickly. The expansion of new technology, goods, services, and solutions is the cause of the low adoption costs. This is leading to the demand for cloud-native storage among SMEs and big businesses.

Deployment Type Outlook

By deployment type, the cloud native storage market is divided into public cloud and private cloud. The private cloud accounted a substantial revenue share in the cloud native storage market in 2021. Private cloud storage is frequently provisioned utilizing out-of-date storage infrastructure. The private cloud should perform the same for storage.

Vertical Outlook

Based on vertical, the cloud native storage market is classified into BFSI, government, healthcare, telecommunication & IT, manufacturing, energy & utilities, media & entertainment, retail & consumer goods, and other verticals. The telecom & IT segment generated a significant revenue share in the cloud native storage market in 2021. Many operators, as well as vendors, are adopting cloud native technology in the telecommunications industry. Although they have long been used by public cloud and IT businesses, the telecoms sector nevertheless faces some unique difficulties.

Regional Outlook

Region wise, the cloud native storage market is analyzed across North America, Europe, Asia Pacific and LAMEA. In 2021, the North America region led the cloud native storage market by generating the largest revenue share. This is due to the rapid adoption of cloud native storage in the nations such as the United States & Canada. Additionally, the regions growth is anticipated due to the presence of top vendors in the region including Microsoft, AWS, IBM, and Google. Also, significant technological developments are taking place in the region supporting the market growth.

The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Cloud Native Storage Market. Companies such as Amazon Web Services, Inc. (Amazon.com, Inc.), Alibaba Group Holding Limited, Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.) are some of the key innovators in Cloud Native Storage Market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, Alibaba Group Holding Limited, VMware, Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Citrix Systems, Inc., Rackspace Technology, Inc., and Splunk, Inc.

Recent Strategies Deployed in Cloud Native Storage Market

Partnerships, Collaborations & Agreements:

Jun-2022: Splunk partnered with JupiterOne, the industrys leading cyber asset attack surface management (CAASM) platform. The partnership would allow users to gain context from a single source of truth across their entire security operations and conduct compliance assessments across their cyber assets and environment.

May-2022: Alibaba Group came into partnership with STC, the Saudi digital enabler of telecommunications services. This partnership would leverage the position of the STC Group in the services & technology solutions sector. It would employ the regions top talent & expertise to support the local capabilities of the kingdom. The enterprise would build an advanced ecosystem capable of meeting the future needs of the Middle East.

May-2022: VMware joined hands with Wipro, a leading global information technology, consulting, and business process services company. This collaboration would allow consumers to achieve the cloud freedom they desire with the enterprise control they require as they execute their digital strategies. Under the collaboration, the companies would bring together the power of VMware Cross-Cloud services with industry-leading Wipro FullStride Cloud Services to help global enterprises accelerate app modernization and reduce the cost, complexity, and risk of moving to the cloud.

Apr-2022: Google Cloud partnered with Linux Foundation, the nonprofit organization enabling mass innovation through open source. Under this partnership, the companies together would work on the project, Nephio. This would result in faster and better connected cloud-native networks of the future.

Mar-2022: Huawei came into partnership with ZainTech, a leading regional digital and ICT solutions provider. This partnership aimed at enhancing its digital & cloud services offerings across various industries in the region. With this partnership, the company would boost its technical innovation & guarantee a superior consumer experience for both its enterprise & government consumers in oil & gas, cloud, 5G campus, big data, smart public transport, and smart city solutions.

Nov-2021: Microsoft came into a partnership with Veritas Technologies, an American international data management company. This partnership aimed at expanding Veritas Enterprise Data Services with Microsoft Azure and simplifying data management while decreasing IT complexity for the enterprise by delivering solutions built on Microsoft Azure.

Nov-2021: AWS teamed up with Goldman Sachs, a leading global investment banking, securities, and investment management firm. Through this collaboration, the companies aimed at creating new data management and analytics solutions for financial services organizations. This collaboration would redefine how clients can discover, organize, & analyze data in the cloud, thus gaining rapid insights as well as driving informed investment decisions.

Nov-2021: VMware extended its existing partnership with Kyndryl, an American multinational information technology infrastructure services provider. This expansion aimed at accelerating IT & business reinvention for consumers through the combination of VMware solutions & Kyndryls design, build and managed services. The companies further aimed to help consumers speed their digital transformations by rapidly building & deploying new, more secure applications designed and built for a world of distributed work.

Oct-2021: VMware teamed up with Telia Company, the leading information technology, communications, and media services provider. This collaboration focused on accelerating Telias transition to a cloud-native infrastructure as an integral part of Telias company-wide transformation across the markets.

Jun-2021: Huawei partnered with Temenos, the banking software company. Under this partnership, the companies would offer Temenos cloud-native core banking solution on the Huawei Public Cloud. Furthermore, the partnership would bring together the extensive implementation, cloud hosting, and integration strengths of Huawei and the power of Temenos industry-leading banking software.

Sep-2020: Rackspace Technology collaborated with Dell Technologies, an American multinational technology company. This collaboration aimed at creating new modernized solutions for multi-cloud. The companies together would help solve some of the most pressing business transformation challenges facing organizations today, which include optimizing their data center footprints, controlling IT spending, removing barriers to multi-cloud integration, and dealing with security & compliance across a multi-cloud environment.

Product Launches and Product Expansions:

Jun-2022: Alibaba Cloud introduced Cloud Infrastructure Processing Unit (CIPU), a new cloud infrastructure system designed in-house to power its cloud-native data centers during its annual summit. This CIPU helps Alibaba Cloud deliver performance enhancements in networking, storage, security, and computing power to clients by offloading virtualization functions from servers to dedicated hardware.

May-2022: Microsoft extended the Azure cloud platform by adding a slew of updates. The major update is the availability of Draft 2, a reboot of the Draft open-source project that helps developers build Kubernetes apps. Draft 2 serves with an easy way to create, containerize & employ apps directly on Kubernetes, and can also generate GitHub Action workflow files.

Nov-2021: Microsoft extended its Azure Container Apps by introducing a new cloud-native offering. This expansion would enable developers to build microservice architectures using containers. Azure Container Apps is the only serverless container solution offering a combination of both built-in HTTP-based autoscaling, including scaled to zero, and event-driven-based autoscaling to run containers that may be processing messages from queues, streams, or databases.

Sep-2021: Amazon Web Services released Amazon FSx, a new technology for NetApps Ontap. Amazon FSx would give NetApp & non-NetApp consumers the chance to run the worlds best storage platform in AWS.

Sep-2021: Google launched Filestore Enterprise & Backup for Google Kubernetes Engine (GKE). The launch would make it easier for consumers to protect data out-of-the-box, across a wide variety of applications & use cases.

Apr-2021: IBM released IBM Spectrum Fusion Hyper-Converged Infrastructure, advanced storage solutions. The company aimed at simplifying data accessibility & availability across hybrid clouds along with planning to ship new container-native software-defined storage solutions designed to help companies expand data availability across complex hybrid clouds for greater business performance and resilience.

Acquisition and Mergers:

Feb-2022: IBM completed the acquisition of Sentaca, a telco consulting services provider. Through this acquisition, the company focused on bolstering its position in the cloud-native & hybrid-cloud market for wireless operators. This acquisition would strengthen IBMs ability to help carriers modernize their infrastructure & critical applications with its open source platforms like Red Hat OpenShift and OpenStack.

Jan-2022: Rackspace Technology acquired Just Analytics, a leading provider of cloud-based data, analytics, and Artificial Intelligence (AI) services. This acquisition would bring strong regional ties into the Microsoft Azure ecosystem with Just Analytics recently being awarded four regional Microsoft partner of the year awards.

Mar-2021: VMware completed the acquisition of Mesh7, cloud-native application security. The acquisition aimed at boosting the companys Kubernetes, micro-services & cloud-native capabilities. The acquisition of Mesh7s contextual API behavior security solution with Tanzu Service Mesh would enable VMware to deliver a high fidelity understanding of which application components are talking to which using APIs.

Geographical Expansions:

Jul-2022: Google expanded its geographical footprints in Latin America and Mexico. Through this expansion, the company focused on expanding its digital infrastructure, supporting digital skills, fostering an entrepreneurial ecosystem & helps create inclusive and sustainable communities. Further, the company aimed at fulfilling the rising demand for cloud services across the globe.

Oct-2021: Alibaba Cloud expanded its geographical footprints in South Korea and Thailand by setting up new data centers in the regions. The company focused on assisting local enterprises in their digital innovation journey, along with unveiling a slew of products and solutions. This acquisition aimed at addressing local consumers in South Korea & Thailand to meet their digitalization requirements from both a technology and services perspective.

Scope of the Study

Market Segments covered in the Report:

By Component

Solution

o Block Storage

o File Storage

o Object Storage

Services

By Deployment Type

Public Cloud

Private Cloud

By Organization Size

Large Enterprises

SMEs

By Vertical

BFSI

Telecom & IT

Healthcare

Retail & Consumer Goods

Manufacturing

Government

Energy & Utilities

Media & Entertainment

Others

By Geography

North America

o US

o Canada

o Mexico

o Rest of North America

Europe

o Germany

o UK

o France

o Russia

o Spain

o Italy

o Rest of Europe

Asia Pacific

o China

o Japan

o India

o South Korea

o Singapore

o Malaysia

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The Global Cloud Native Storage Market size is expected to reach $41.9 billion by 2028, rising at a market growth of 22.3% CAGR during the forecast...

Is Cloud Hosting the Best IT Solution for Your Business in 2022? – StartupGuys.net

To be successful in the modern world, your company should use the latest technologies and possibilities. This is especially important when talking about the internet, where innovations appear every day. One of the most popular cases today is cloud hosting using online storage to operate and secure large amounts of data. Is it a good initiative? Let us find out!

Cloud hosting is a resource you can use to provide access to applications and internet sites. The main difference between this format and regular hosting is that it uses servers connected to a unique functional system.

Site hosting is a rapidly growing field. Many companies are trying to provide trustworthy software to their clients, like EasyWP. These allow for faster WordPress sites. No problems are insurmountable when there are experts around.

Clouds can greatly increase the effectiveness of your project. You will also feel more comfortable operating and communicating. Some of the benefits are:

With clouds, criminals and scammers have fewer chances to steal data. Even if you lose your work device or it gets stolen, fraudsters still need to enter your cloud accounts using your username and password. Think of it as a large virtual hard drive where you can store all your data.

Moreover, such initiatives are easy to monitor. Once again, online security personnel will not need to check every employees laptop. They can focus on data stored in one secure place.

Clouds are also suitable for providing limited access to freelancers or other team members. If you dont want them to see important documents, share only the required ones.

Not only will security workers feel more comfortable with using clouds, but regular employees will too! With all the data in one place, each team member can access it simultaneously. Any corrections could be made in a few moments, and workers have total control.

Distance is not a problem. As long as you have a device with an internet connection, it is always possible to get down to work. And hey, no spending an enormous amount of time sending different files to each other!

Forty years ago, computers were enormous devices. They took up a lot of space, and it was too expensive to buy a couple of PCs for one office. Ten years ago, people switched to laptops but still came to their workspaces. All data and information required for work still need to be stored somewhere. Many companies built enormous server rooms with large pallets of hardware. Now it is time for cloud hosting.

Not only is it more flexible and comfortable, but its cheaper too. You dont need to pay hardware sellers or engineers. Just pick one (or more, if you have the need) hosting company you like and use its services. There is no need to build something yourself these companies already have their own servers and technology. They can be located everywhere, but what is the most important part theyre not in your workspace. So, you can even spend less money on rent or focus on other organizational things. Your employees will thank you for the new fitness or dining zone, but not a spacious room full of cables, wires, and indicators.

The same goes for a usual internet page hosting. Whichever platform you use, for example, a WordPress site, you can save money on a distant hosting without any hardware required from your side.

Using cloud hosting for business allows you to team up with specialists from all over the world, with different languages, ethnicities, skills, and perspectives. Hire people regardless of their location, and focus only on their professional abilities. The same goes for freelancers many top-tier workers would gladly join you for projects and other activities.

Why limit yourself to individuals when you can cooperate with a whole team? Connect with little workshops and large enterprises to achieve new business heights. This can easily be done with the help of online hosting. Share documents, files, and projects connections are the key to success.

Surely, the benefits of cloud hosting are great, but you need to pay attention to some details.

Dont hesitate too much; you will be satisfied with your new tech. It grants new abilities, so use them wisely to achieve maximum efficiency and business sustainability.

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Is Cloud Hosting the Best IT Solution for Your Business in 2022? - StartupGuys.net

Better living through cloud: Green aspirations drive migration – CIO Dive

Cost, convenience and compute are the big Cs driving the cloud market. Climate is a more recent addition to the list one thats gaining ground as the market matures and the planet warms.

Phase one of cloud was the great migration of data storage and applications that improved efficiency, provided access to greater computing power and, as a side benefit, brought significant carbon emissions reductions.

The second phase moved beyond infrastructure to offer an ongoing proliferation of SaaS and other as a Service products, a further bump to operational convenience and efficiency. These innovations may not specifically target environmental, social and governance (ESG), but the flip side of efficiency is sustainability.

Tech leaders are now counting on the next phase of cloud adoption a migration of core business functions to open new avenues for curbing greenhouse gasses.

There's a huge pivot towards the heart of the business, said Brian Campbell, principal in Deloitte Consultings Strategy practice. Thats where were seeing a lot of the investment in innovation going as we look out over the next three to five years.

ESG goals are one key area of innovation emerging as a top-ten business priorityfor C-suite leaders, according to a May survey of 400 chief executives by Gartner.

New Securities and Exchange Commission regulations that would make companies disclose greenhouse gas emissionsannually are in the works, adding a degree of urgency to corporate ESG initiatives.

Most companies regard integrated cloud technologies, including AI, IoT and analytics, as a force-multiplier in driving positive outcomes across a wide array of objectives, according to a June report from Deloitte. Nearly three-quarters of 500 senior cloud decision-makers surveyed by Deloitte view cloud capabilities a means to achieving better sustainability in support of environmental issues.

Businesses in every sector are turning to an industry cloud approach, Campbell said, migrating processes that are specific to their industry and using AI-enabled technologies to accelerate modernization.

One trait of this phase of cloud maturation is the onboarding of software tuned specifically to industry use cases to replace less efficient legacy applications. Through that alone, Campbell said, companies are expecting to see sustainability gains.

Faster and more precise real-time monitoring tools, more energy efficient cloud servers and digital twin technologies that test sustainability implications of operational decisions are three ways companies are already pushing ESG agendas forward.

Nearly three-quarters of the 500 multinational companies surveyed by Accenture in June had deployed carbon measuring AI technologies to reduce emissions, and more than nine had set a goal of achieving net-zero targets by 2030.

Campbell said companies he consults with have started to set targets and are aware they need to be tracking emissions just like they track other metrics.

Those efforts are supported by technologies specifically designed to measure sustainability metrics.

[Global system integrators] are now giving you good ways to measure the implications of a lot of the choices that youre making as an organization, Campbell said. So, you're getting sustainability potential from the general investment that's going into cloud and cloud technologies.

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Better living through cloud: Green aspirations drive migration - CIO Dive

Public Cloud Risks Is Your Organization Prepared for Cloud Threats? – Security Boulevard

The dawn of cloud computing created endless business opportunities for organizations seeking substantial growth by delivering a flawless user experience backed with robust security.

Regardless of the niche, enterprises are now leveraging the public cloud to its full potential and ability to stay ahead of the competition.

Moreover, public clouds have significantly increased the deployment of virtual machines since it offers flexibility and is quite affordable, even for startups and small enterprises.

However, the rapid adoption of the public and hybrid cloud doesnt necessarily mean that sensitive information stored on remote servers or shared clouds is secure.

A recent survey revealed that phishing is one of the most common cloud attacks, with 73% of respondents agreeing that their organization faced a phishing attack.

And phishing is just one risk; plenty of other underlying risks can affect your cloud security.

Hence, businesses must understand the risks associated with public cloud security and take timely action to avoid financial and reputational losses.

Lets understand the risks associated with the public cloud and how businesses can take timely action to avoid the risks.

Since several risks can impact a business, heres the list of some of the most common risks that every business should be aware of:

One of the biggest challenges with the public cloud infrastructure is that the data is stored outside the enterprises IT environment. And this can be pretty risky from an information security perspective.

Hence, most public cloud providers suggest enterprises create backups of their sensitive information to deal with any risky situation.

Besides, privacy risks, especially in shared cloud infrastructure, cant be overlooked. And the sensitive data is beyond the control of the organization.

So, businesses need to invest in cloud security best practices, including multi-factor authentication (MFA) and risk-based authentication (RBA).

Since most enterprises arent relying on renowned cloud providers, including Microsoft, Google, and Amazon, the risk of data privacy and identity theft lingers.

Moreover, cybercriminals are always searching for ways to breach security by bypassing the poor line of defense. In a nutshell, they exploit destructive authentication mechanisms.

So, how should an organization protect the privacy and security of its consumer information? Users may be misusing their account verification. Its in these cases that the Zero Trust Model works.

The zero trust model believes no user can be trusted, and verification is no longer an option. It supports the theory that all users must be authenticated, authorized, and regularly verified to ensure they can be trusted with the data in any business hierarchy.

Another major issue that can affect the overall security of your cloud is connection failures and cloud server downtime.

Many businesses have faced DDoS (distributed denial of service) attacks in the last couple of years, leading to identity theft and financial and reputational damages. And the number of such attacks is surging exponentially.

DDoS attacks are pretty common in private cloud infrastructure, and one robust way to avoid such attacks is to choose servers offering 100% uptime.

A cloud-based CIAM (customer identity and access management) solution like LoginRadius, has set up automated failover systems in all layers of our architecture, which is why it ensures 99.99% uptime every month.

The increasing number of enterprises leveraging the cloud has increased the risk of data breaches and identity thefts.

Businesses considering leveraging the private cloud shouldnt overlook the security aspects and must consider relying on n robust security infrastructure.

Enterprises thinking about accelerating business growth through cloud adoption shouldnt miss the aspects above.

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Public Cloud Risks Is Your Organization Prepared for Cloud Threats? - Security Boulevard