Below is a list of the top and leading IT Support in Cleveland. To help you find the best IT Support located near you in Cleveland, we put together our own list based on this rating points list.

The top rated IT Support in Cleveland, OH are:

Forefront Technology Inc, their team, at Forefront, is profoundly passionate about the success of our clients. They are a young company made up of engineers and managers that spent a large share of their careers in the global technology operations of corporate America. It was their dream to leave large enterprises and bring their knowledge and expertise to small and medium businesses in a cost-effective way. Their yearning was to impact and enable the visions of those they work within a powerful manner.

Forefront Technology is an outstanding, nationwide IT services engineering firm specializing in solutions that are open, scalable, and drive greater productivity and competitiveness for their clients. Their solutions and services portfolio provides their enterprise clients with Cloud, Security, Collaboration, Core Infrastructure, and Managed Services. Forefront Technology is a private function company headquartered in Cleveland Ohio.

Products/Services:

Manage Cloud Services, Advisory & Consulting, Onsite Resources/Skills Gap Fill, & More

LOCATION:

Address: 1360 W 9th St Suite 215, Cleveland, OH 44113Phone:(216) 223-3090Website: http://www.myforefronttech.com

REVIEWS:

Excellent customer service. The entire staff is very knowledgeable. Ive completed many projects with them and will continue to work with them in the future. Andrew D.

FIT Technologies is proud to assist many clients, varying in size, sector, and service needs throughout Ohio and other locations across the country. They are a company that has improved their service offering over the years, but they have been constant about the way in which they want to do business: in cooperation with their clients. They understand the only way to become the trusted IT advisor for an organization is to have a terrific team of talented people who are committed to customer service. They have created an amicable atmosphere in which employees work together to gain the confidence of their customers by building and helping their tech capabilities.

Products/Services:

Manage, Develop, Strategize, Implement

LOCATION:

Address: 1375 Euclid Ave #310, Cleveland, OH 44115Phone:(216) 583-5000Website: http://www.fittechnologies.com

REVIEWS:

This IT Team is the best. They are quick in resolving issues and very knowledgeable. Thanks, FIT. Elizabeth H.

Acroment IT Services, Since 2004, Acroment Technologies has utilized a one-of-a-kind approach to assist small businesses across Northeast Ohio lower their costs, boosting productivity, and getting the most out of their technology investment. Thats more than a decade of providing excellent IT services and solutions, and in the IT industry, thats a lifetime. They believe its because they realize that your business is not technology, your business simply depends on technology to keep it running smoothly.

When you pick Acroment Technologies to be your IT department, you can stop worrying about trying to keep up with the fast-moving world of technology, because they will take care of it for you.

Products/Services:

Managed Services, Cloud Services, Virtualization, Email & Spam Protection, Data Backup, Free System Assessment

LOCATION:

Address: 1579 W 117th St, Cleveland, OH 44107Phone:(216) 255-6300Website: http://www.acroment.com

REVIEWS:

They fix everything in a timely manner with communication. Michael S.

Green Line Solutions Business IT Support was initially founded in 2011 by brothers Brad & Nate Holton. In the nearly 10 years since the foundation of Green Line was formed, the company has substantially expanded to become a highly trusted name for hundreds of businesses and is vigorously supporting them across 10 states. While Green Lines customer base and staff have greatly grown, the belief that it was founded on has remained the same and thats what still makes it successful today.

They endeavor to be different than what you may be used to when it comes to IT companies. If youre seeing for the best IT services provider in Cleveland, youve found them. They are not here to force you into an expensive and confusing managed services agreement with hidden traps that increase your service charges. They are just here to help you run your business more effectively.

Products/Services:

IT Consulting, Managed Services, IT & Technical Support, Project Management, & More

LOCATION:

Address: 4176 W 130th St, Cleveland, OH 44135Phone:(216) 930-9301Website: http://www.greenmakesithappen.com

REVIEWS:

Excellent service and friendly staff. Resolved all my issues the same day. John F.

Kloud9 IT-Cleveland was established in 2006 beginning as an unsophisticated computer repair and consulting company that would eventually grow into something more. Founder, Trent Milliron is an IT professional with years of experience and an extraordinary perspective on the tech industry. His specific experience motivated him to take an innovative approach to IT, opening Kloud9 to assist businesses to find tech solutions. As an entrepreneur himself, Trent comprehends both the tech side and the business side and has put his energy into developing an IT process designed for business owners.

At Kloud9 their mission is to give their clients fast, friendly, and professional computer support and telephone solutions while maintaining an unparalleled level of customer service. They produce reliable relationships with their customers, employees, and partners. They handle problems in a professional, competent, and timely manner. The communities they serve see them as valuable, furnishing members. This emphasis allows them to build lasting relationships and remain competitive in the markets they serve.

Products/Services:

Managed Services, IT Consulting, Business IT Support, Help Desk, Cloud Computing, Cloud Servers, Microsoft Office 365, Virtualization, Virtual Desktops, & More

LOCATION:

Address: 9999 Granger Rd, Cleveland, OH 44125Phone:(216) 393-2484Website: http://www.kloud9it.com

REVIEWS:

Good people to work with and a good IT service provider. Jacob L.

Ermily has worked as a journalist for nearly a decade having contributed to several large publications online. As a business expert, Ermily reviews local and national businesses.

The rest is here:
5 Best IT Support in Cleveland, OH - Kev's Best

Welcome to insideBIGDATAs Heard on the Street round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning. Enjoy!

Factors influencing the demand of AI in todays world. Commentary by Shubham A. Mishra, Global CEO and Co-Founder of Pixis

AI is fundamentally changing the way businesses communicate with their audiences, in that, its helping improve the accuracy of communication and targeting. With an expected growth of 40.2% over the next few years, AI will be transformative to any business helping them provide a seamless customer experience. With AI, businesses are able to get data-backed insights into performance, which empowers practitioners across the board to get clarity on the effectiveness of their efforts. Marketers will gain sharper insights into the what the audience wants aspect, thus optimizing their business growth.In the next few years, we will witness modern AI generative networks completely rebooting the landscape of digital content creation and empowering brands to hyper tune their messaging to every single potential customer. With the shift to cookieless web, AI is going to play an important role in promoting strategic process, and will be in the front seat of executing any campaign because of its power to optimize efficiency by its self-evolving nature.

The Growing Impact of Data Storytelling and How to Harness It. Commentary by Mathias Golombek, CTO, Exasol

As more organizations today become increasingly data-driven, they are using data storytelling to glean the most accurate, meaningful, and actionable insights from their data. Data storytelling provides the much-needed context for painting a clearer picture. Without this context, data insights can fall flat. For business leaders, data storytelling explains what the data is showing and why it matters. According to Exasolsresearch, nearly all (92%) IT and data decision-makers surveyed agreed that storytelling is an effective means of delivering the findings of data and analytics. Given this trend, there is a major demand for data storytellers across all industries with companies seeking to build best-in-class data teams with people from different backgrounds with various skillsets. These modern data scientists need to have more than just technical knowledge and advanced data science skills but also the ability to interpret data for business-focused stakeholders. To make data storytelling truly successful, organizations must empower knowledge workers to become more data savvy so that they can also interpret the data along with their more technical counterparts.Data storytelling isnt just about being able to work a data platform; its also about data literacy skills and the ability to communicate more widely understanding the business context, the importance of numbers, and then break those down into a pithy, compelling narrative. Fortunately, there are new smarter self-service tools that help both teams turn data into stories including new easy-to-use BI tools, self-service data exploration and data preparation solutions and auto-machine learning tools that enable nearly all employees to interpret complex information on their own, act on their findings and then let them tell their own data stories.

Apple outage potentially caused by lack of connection between systems and data. Commentary by Buddy Brewer, New Relic Group Vice President & General Manager

As companies scale and tech stacks become more complex, the risk of outages will rise. Outages like this can happen to any company at any time. When an outage happens, the impact to the business can snowball really fast. Not only is the IT team trying to get the system back up and running, they are also fielding what can be a massive influx of requests ranging from internal stakeholders up the Board level to customer complaints. Minimizing the time to understand the issue is critical. What makes this difficult is that most companies have observability data scattered everywhere.The first thing any company needs to do to fix the issue is to focus on connecting the data about their systems together, ideally storing it all together so that they can gain a single pane of glass view of their system to resolve issues quickly, minimizing the impact to their end-users. Redundancy in the form of failovers, multi-cloud, and more is also important for the resilience of their system.

Why More Companies are Leaving Hadoop. Commentary by Rick Negrin / Vice President, Product Management, Field CTO at SingleStore

While Hadoop started off with the promise of delivering faster analytical performance on large volumes of data at lower costs, its sheen has worn off and customers are finding themselves stuck with complex and costly legacy architectures that fail to deliver insights and analytics fast. It doesnt take more than a quick Google search to see why enterprises around the world are retiring Hadoop. It wasnt built to execute fast analytics or support the data-intensive applications that enterprises demand.Moreover, Hadoop requires significantly more hardware resources than a modern database. Thats why more companies are seeking out replacements or, at the very least, augmenting Hadoop. As an industry, we must meet the needs of demanding, real-time data applications. We must ensure there are easier, more cost and energy efficient choices for users who need reliable data storage and rapid analytics for this increasingly connected world.

Snowflakes new cloud service signals new trend of industry-based cloud offerings. Commentary by Clara Angotti, President at Next Pathway

Snowflakes new Healthcare & Life Sciences Data Cloud is a great example of the new trend to vertically specialized cloud offerings and services. The use of the cloud is becoming purpose-driven as companies are choosing cloud data warehouse and cloud platforms based on their ability to enable specialized business change. Companies are looking for industry-specific solutions based on applications, services, security and compliance needs to drive unique business outcomes. As this market becomes more lucrative and competitive, the players will look to differentiate themselves through unique, vertical offerings.

New Data Privacy Laws. Commentary by David Besemer, VP/Head of Engineering at Cape Privacy.

If data is kept encrypted when stored in the cloud, the risks associated with unauthorized access are mitigated. That is, even if data becomes inadvertently exposed to outside actors, the encryption maintains the privacy of the data. The key to success with this approach is to encrypt the data before moving it to the cloud, and then keep it encrypted even while processing the data.

How AI Puts a Companys Most Valuable Asset to Work. Commentary by David Blume, or VP of Customer Success, RFPIO

Every business leader asks themselves a common question; how do I get my employees to perform their best work? And while effective hiring, pay incentives and a positive workplace environment all play a large role, one aspect that often gets overlooked involves the tools that, once implemented, can improve every aspect of employee efficiency. Thats where machine learning-driven response management software comes into play. Response management software that incorporates machine learning helps employees at every level utilize their companys most valuable resource: knowledge. When a company invests in the technology that allows its workers to utilize all their content in an accurate, accessible and effective manner, it can have wide ranging and substantial benefits to the organization. For higher-level executives, this helps reduce repetitive questions from lower-level staff and minimizes errors as a result of old or inaccurate data. For employees who just joined a company, the onboarding process will be quicker and more streamlined as many of the questions they will have can now be easily accessible, accurate, and addressable via a shared knowledge library. Used properly, response management software can improve employee productivity resulting in increased ROI and boosted bottom lines.

Cloud Costs On the Rise? Developers are less than thrilled. Commentary by Archera CEO Aran Khanna

Its no secret that cloud costs are devilishly hard to predict and control, but at least they trend downward over time. Every customer faces a visibility puzzle, making it tough to understand which team is causing cloud spending shocks and whether they stem from traffic gains (good) or wasteful deployments (bad). Then throw in complex billing structures, countless resource and payment options, and the fact that customers consume before they pay. Small wonder the house always seems to win when the invoice arrives, regardless of which cloud provider the house is. You can now add price inflation to these challenges, with Google boosting some prices 100% starting October 1st. But, some prices certain archival storage at rest options, among others are dropping. Or, capacity changes; Always Free Internet egress will jump from 1 GB to 100 GB per month.Developers, overloaded trying to control cloud costs in a blizzard of choices, are not thrilled with the new flexibility. The answer? A Google FAQ encourages customers to better align their applications to these new business models to mitigate some of the price changes. IT cannot compare millions of choices, however, and still hope to get actual work done. They need a sustainable methodology and the capability for centralized, automated cloud resource management to correctly match provider options to consumption.We recommend a dynamic monthly sequence of establishing visibility, forecasts, then budgets, governance, contract commitments, and monitoring and adjusting. This lets organizations avoid unnecessary spending, even when the world goes upside-down and prices inflate.

Removing Human Bias From Environmental Evaluation. Commentary by Toby Kraft, CEO, Teren

Historically, environmental data has been captured and evaluated through boots on the ground and local area experts relying heavily on human interpretation to glean insights. Subject matter and local experts make decisions based on data retrieved from field surveys, property assessments and publicly available data that may or may not be up to date and accurate. Additionally, the human interpretation of these data lends itself to error and inconsistencies, which can have dramatic impacts on the companies using it, such as insurance and construction organizations. Remotely-sensed data, geospatial technology, and data science can eliminate human error in environmental data by automating highly accurate, relevant data capture, processing and interpretation. Automated analytics can extract unbiased, reliable and, most importantly, replicable insights across industries to detect, monitor and predict environmental changes. Companies have long used geospatial technology for large-scale asset management, however, the data is generally limited to infrastructure without much insight into the environmental conditions within which the asset is situated. Asset owners are now combining remotely-sensed data, machine learning, and geospatial technologies to manage the environmental data surrounding an asset and proactively mitigate potential threats. Insurance and construction firms can take note and apply the same methodology to underwriting and project scoping saving time and lowering risk before an asset is even operational.

NVIDIA: We Are A Quantum Computing Company. Commentary by Lawrence Gasman, President of Inside Quantum Technology

Quantum has evolved to the point where a semiconductor giant and a Wall Street darling like Nvidia is self-identifying itself as a quantum computing company. Thats a huge development for a company thats been making strides by circling the market, creating the cuQuantum software kit for quantum simulations, currently used by Pasqal, IBM, Oak Ridge National Laboratory (ONRL) and others. The recent announcement of a new quantum compilerand a new software appliance to run quantum jobs in data centers is a further statement that Nvidia is intent on pursuing quantum market opportunities. They already serve the high-performance computing community with powerful processors and accelerated architectures. This shift will help embrace a unified programming model for hybrid classical-quantum systems.

The risks that come with big data: highlighting the need for data lineage. Commentary by Tomas Kratky, founder and CEO, MANTA

The benefits of harnessing big data are obvious it feeds the applications powering our digital world today, like advanced algorithms, machine learning models, and analytics platforms. To get the desired value, we deploy tens or hundreds of technologies like streaming, ETL/ELT/reverse ETL, APIs or microservices. And such complexity actually poses some serious risks to organizations. A solid data management strategy is needed to remove any blind spots in your data pipelines. One heavily overlooked risk with big data architectures (or frankly any complex data architectures) is the risk of data incidents, extreme costs associated with incident resolution, and limited availability of solutions enabling incident prevention. An associated risk is low data quality. Data-driven decisions can only be as good as the quality of the underlying data sets and analysis. Insights gleaned from error-filled spreadsheets or business intelligence applications might be worthless or in the worst case, could lead to poor decisions that harm the business. Thirdly, compliance has become a nightmare for many organizations in the era of big data. As the regulatory environment around data privacy becomes more stringent, and as big data volumes increase, the storage, transmission, and governance of data become harder to manage. To minimize compliance risk, you need to gain a line of sight into where all your organizational data has been and where its going.

Whysemantic automationis the next leap forward in enterprise software. Commentary by Ted Kummert,Executive Vice President of Products and Engineering, UiPath

Demand forautomationcontinues to skyrocketas organizations recognize the benefits ofan automation platformin improving productivity despite labor shortages, accelerating digital transformation during pandemic-induced challenges, and enhancing both employee and customer experiences.Semantic automation enhances automationby reducingthe gap between how software robots currently operate and the capacity to understand processes the way humans do. Byobserving and understandinghow humans complete certain tasks, software robots powered by semantic automation can better understand the intentof the user, in addition to relationships between data, documents, applications,people, and processes. Robots that can understand higher levels of abstraction willsimplify developmentand deployment of automation. Further, as software robots continue to learn how to complete tasks and identify similarities, organizations will see better outputs from their automations and can also find new opportunities to scale across the business.

The Best Data Science Jobs in the UK according to data. Commentary by Karim Adib, Data Analyst, The SEO Works

According to a report commissioned by the UK government, 82% of job openings advertised online across the UK require digital skills. While digital industries are booming, some industries are easier to break into than others, and some industries pay higher than others. The Digital PR team at The SEO Works gathered data on the average salary from top UK job boards Glassdoor, Indeed, and Prospects to reveal some of the most in-demand digital jobs along with how difficult it is to get started in them. All smart businesses and organizations now use data to make decisions, so there is a growing demand for these jobs. Its also not too hard to get into Data Science compared with some other digital jobs. All three of the data science jobs analyzed fall between 40 and 60 on the difficulty score because of the long time frame associated with getting into data science and the degree requirements a lot of the jobs have. Data Analyst came out as the best salary to difficulty ratio in the study, with Data Scientist just behind it. More and more businesses nowadays are adopting data as a way to make informed decisions and as a result, the demand for those who work with data is constantly increasing, making it a great choice for those looking to get into the digital industry.

The Digital Transformation and Managing Data. Commentary by Yael Ben Arie, CEO of Octopai

Businesses have never had access to the amount of data that is infiltrating corporations today. As the world goes through a digital transformation, the amount of information and data that a company collects is enormous. However, the data is only useful when it can be leveraged to improve processes, business decisions, strategy, etc. How can businesses leverage the data that they have? Are businesses even aware of all the data that they possess? And is the data in the hands of the right executives so that information can be used throughout the entire organization and in every department? After all, the digital transformation is turning everyone into a data scientist and valuable data cant be utilized solely by the BI department. In order for data to be leveraged effectively and to access the full picture, businesses need to automate it a comparison is equal to a Google search versus going to the library. Manually researching the data flows is almost impossible and leaves the data untrustworthy and prone to errors. Automating data and implementing a centralized platform that extracts metadata and presents it in a visual map from all systems and spreadsheets provides an accurate and efficient process to discover, and track data and its lineage, within seconds. The advantage of doing such, enables any user to find the data they need, make faster business decisions, providing an insight into the true metrics of the business. One of the most metamorphic aspects of the digital transformation is that data will become the foundation of corporate growth, propelling all corporate employees to take part in data discovery. As the digital transformation continues to move forward we should expect to see more emphasis on verifying the accuracy and truth of the data that was uncovered.

Why adaptive AI is key to a fairer financial system. Commentary by Martin Rehak, Co-founder and CEO of Resistant AI

Despite the best intentions of regulators, the worlds financial system remains the biggest, most critical, and yet most obscure network underpinning our global economy and societies. Attempts to fight the worst the world has on offer financial crime, organized crime, drug smuggling, human trafficking, and terrorist financing are generally less than 0.1% effective. And yet, it is this very same system that the worlds largest economies are relying on to sanction Russia into curtailing its aggression in Ukraine. At the heart of this inefficiency is a natural mismatch any data scientist would recognize: an overwhelming amount of economic activity that needs to be detected, prioritized, analyzed, and reported by human financial crime investigators, and all within the context of jurisdictionally conflicting and ever-updating compliance regulations. Previous attempts to solve this problem with AI have usually relied on expensive and rigid models that both fail transparency tests with regulators and at catching ever-adaptive criminals who render them obsolete within months by adopting new tactics.Instead, the path to a financial system that actually benefits law-abiding citizens lies in nimble, fast-deploying and fast-updating multi-model AI anomaly detectors that can explain each and every finding at scale. That path will require constant collaboration between machines, financial crime investigators, and data scientists. Failure to build a learning cycle that includes human insights is metaphorically throwing our hands up at the idea of a fairer and safer financial future for all.

The need for strong privacy regulations in the US is greater than ever.Commentary by Maciej Zawadziski, CEO of Piwik PRO

The General Data Protection Regulation (GDPR) is the most extensive privacy and security law in the world containing hundreds of pages worth of laws for organizations worldwide. Though it was put into effect by the European Union (EU), it imposes requirements onto the organizations that target or collect data related to people in the EU as well. Google Analytics is by far the most popular analytics tool on the market, but the recent decision of the Austrian Data Protection Authority, the DSB, states the use of Google Analytics constitutes a violation of GDPR. The key compliance issue with Google Analytics stems from the fact that it stores user data, including information about EU residents, on US-based cloud servers. On top of that, Google LLC is a US-owned company and is therefore subject to US surveillance laws, such as the Cloud Act. Companies that collect data of EU residents need to rethink their choices as more European authorities will soon follow the DSBs suit, possibly resulting in a complete ban on Google Analytics in Europe. The most privacy-friendly approach would be to switch to an EU-based analytics platform that protects user data and offers secure hosting. This will guarantee that you collect, store and process data in line with GDPR.

Could AI support a future crisis by strategically planning a regional supply chain?Commentary by Asparuh Koev, CEO of Transmetrics

If you havent heard the word enough, collaboration within the supply chain is what will provide sustainable, long-term futures for our retailers, shippers, manufacturers, and suppliers combined. And with the extent and size of todays business network, joining forces without AI is no longer an option. From the pandemic to the Russia-Ukraine war causing unexpected havoc on an already beaten chain of backlogs, consolidating data sources, forecasting demand, and initiating just-in-case stock planning is the move for successful supply chains. Armed with complete transparency and visibility of data, historically isolated functions can benefit from AIs power to read multitudes of information in seconds and create optimal scenarios for capacity management, route optimization, asset positioning, and last-mile planning. Fully integrated supply chains can work with real-time and historical data to enhance pricing models by understanding the entire market while increasing early detection and disruptions in advance of a crisis.This enables scenario planning on a scale that has never been seen before,indispensable in a time of crisis.

US AI Bias Oversight? Commentary by Sagar Shah, Client Partner at Fractal Analytics

There was era where explainability was talked about, then came era of fairness and now its privacy and monitoring. Privacy and AI can co-exist with the right focus on policy creation, process compliance, advisory and governance. It needs a lot of assistance in advisory to educate companies in the ethical use of AI respecting transparency, accountability, privacy and fairness. Privacy by Design is a pillar which is becoming stronger in a cookie-less world. Many companies are exploring avenues to make personalization engines with in this new normal, to make it a win-win for consumer experience and customized offerings. Differential privacy injects noise to decrease correlation between features. However, it is not a foolproof technique since the injected noise can be traced backwards by the data science professional.

How can bad data ruin companies? Commentary by Ben Eisenberg, Director of Product, Applications and Web at People Data Labs

As all businesses become more data-driven, questions of data quantity will give way to questions of data quality. And with businesses increasingly leaning heavily on data to guide more of their decision-making, the risk associated with bad data has grown. Where once bad data might have a limited impact, it can now proliferate across multiple systems and processes leading to widespread dysfunction.To avoid these problems, businesses should prioritize investing in data that is compliantly sourced. Data is increasingly regulated across states and regions, and its important that any data you acquire from a third party be fully compliant. That means checking your vendors privacy compliance and questioning their practices around ensuring compliance from their sources.Another tactic is keeping data fresh. Most of the data businesses rely on reflects individual human beings, and human beings are not static. Every year millions of people move, change jobs, get new contact information, take out new loans, and adopt new spending habits. The fresher your records, and the more often you enrich them with fresh data, the more likely you are to avoid data decay that can diminish the value of your data and lead to problems.

World Backup Day. Commentary by Pat Doherty, Chief Revenue Office at Flexential

Weve learned to expect the unexpected when it comes to business disruption, illustrating the immense need for proper backup solutions. In 2022, investment in Disaster Recovery-as-a-Service (DRaaS) will be a major theme for businesses of all sizes to ensure long-term business success and survival no matter the disruption. Moving DRaaS to a secondary site cloud environment can ensure that data is safe and secure and that organizations can operate as normal even when employees are not on site.

World Backup Day. Commentary by Indu Peddibhotla, Sr. Director, Products & Strategy, Commvault

Enterprise IT teams today are increasingly starting to realize that backup extends far beyond serving as their last line of defense against cyberattacks. It can now help them take the offense against cybercriminals, by allowing them to discover and remediate cyberattacks before their data is compromised.For example, data protection solutions now have the ability to detect anomalous behaviors indicating a threat to a companys data. In addition, emerging technologies will soon allow enterprise IT teams to create deceptive environments that can trap cybercriminals. These features, coupled with other early warning capabilities, will allow companies to use their backups to detect, contain, and intercept cyberattacks before they can lock, alter, steal, or destroy their data.

World Backup Day. Commentary by Stephen McNulty, President ofMicro Focus

When disasters occur, organizations suffer. That is why they see backups, recovery, and security of data and systems as crucial for business continuity. Backups are an essential practice to safeguard data, but they are not the most important step. While they do indeed ensure availability and integrity of data, I believe recovery strategies should take precedence. Heres why it is the ability to restore data and systems to a workable state, and within a reasonable time frame, that makes backups valuable. Without this ability, there is no point in performing the backup in the first place. Furthermore, backups must also be complemented with adequate security controls. To that end, business leaders should consider the Zero Trust model, which implements a collection of solutions covering a range of needs from access control and privilege management to the monitoring and detection of threats. This will ultimately provide the best protection possible as information travels across devices, apps, and locations.

World Backup Day. Commentary by Brian Spanswick, CISO at Cohesity

While all eyes are on backup today, organizations must strive for holistic cyber resilience and recognize that backup is just one component of a much larger equation. Achieving true cyber resilience means developing a comprehensive strategy to safeguard digital assets, including integrated defensive and recovery measures that give organizations the very best chance of weathering the storm of a cyber attack.Organizations should embrace a next-gen data management platform that enables customers to adopt a 3-2-1 rule to data backups, ensure data is encrypted both at transit and at rest, enable multi-factor authentication, and employ zero trust principles. Only then can organizations address mass data fragmentation challenges while also reducing data proliferation.Further, backups that can be restored to a precise point in time deliver the business continuity required for organizations to not only survive attacks, but continue to thrive in spite of them.

World Backup Day. Commentary by Brian Pagano, Chief Catalyst and VP at Axway

It is important to distinguish between syncing and backup, most people conflate the two. In order to qualify as a backup, you should be able to do a fresh install with complete data recovery. Sync is designed to allow you to work seamlessly across devices by pushing deltas to the cloud. But if something happens to corrupt your local copy, that corruption may get synced and propagate across your devices. Organizations can help customers with backups by allowing easy export of a complete data in a standard (not proprietary) format. You as a user have the responsibility of keeping a copy of your data on a local or remote drive that is not connected to sync. You must periodically do this (either manually or with a script that triggers after a certain period).

World Backup Day. Commentary by Joe Noonan, Product Executive, Backup and Disaster Recovery for Unitrends and Spanning

World Backup Day is a great reminder for businesses to take a closer look at their full business continuity and disaster recovery (BCDR) planswhich includes everything from the solutions they use to their disaster recovery run book.The shift to remote working completely transformed the way organizations protect and store their data. Today, there is a greater focus on protecting data no matter where it lives on-prem, on the laptops of remote employees, in clouds and in SaaS applications. Recovery time objectives (RTOs) are increasingly shrinking in todays always-on world, with goals being set in hoursif not minutes. Cybercriminals have taken advantage of the remote and hybrid work environments to conduct increasingly sophisticated cyberattacks, and the data recovery process post-incident has become more complex due to new cyber insurance requirements. These new regulations include critical audits and tests that businesses must comply with in order to restore their data and receive a payout after an attackwhich can slow down the recovery process.With data protection becoming increasingly complex, more organizations are turning to vendors that provide Unified BCDR, which includes backup and disaster recovery, AI-based automation and ransomware safeguards as well as disasterrecovery as a service (DRaaS). Unified BCDR has become a necessity due to the growing amount of data organizations must protect and the increasing number of cyberattacks taking place against businesses of all sizes.

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Heard on the Street 4/5/2022 - insideBIGDATA

Pompano Beach, FL, April 08, 2022 --(PR.com)--Ace Cloud Hosting (ACE), a leading Cloud Hosting Solution Provider is thrilled to announce it is the recipient of two CPA Practice Advisor Readers Choice Awards. The Company is selected as the Best Hosted Solution Provider and Best Outsourced Technology Services.

ACE pride themselves on their world-class, innovative and agile solutions that meet customers business requirements. The team at ACE believe that the reward well done is the opportunity to do more.

Kudos to the vibrant team for an epic win! We believe in keeping customer experience at the top of our list when it comes to prioritizing our organizational goals. The team at ACE is consistently exceeding expectations of our customers and these awards are a testament to the value they have placed in our trusted products," said Mr. Vinay Chhabra - Managing Director and CEO Ace Cloud Hosting.

About Ace Cloud Hosting

Ace Cloud Hosting is a renowned managed hosting services provider. The company offers its services in multiple domains such as QuickBooks hosting, dedicated server hosting, application hosting, virtual desktop hosting, etc. The customers can contact them for accounting and tax software hosting services such as:1. QuickBooks Hosting2. ATX Tax Software Hosting3. Drake Tax Software Hosting4. Lacerte Hosting5. UltraTax Software Hosting

Ace Cloud Hosting has partnered with SSAE-16 Tier 3+ and Tier-4 data centers in multiple locations like Phoenix, Chicago, Dallas, Houston, Tahoe, Reno, and Las Vegas. They offer built-in Business Continuity and Disaster Recovery (BCDR) services and 45-day rolling data backup.

Ace Cloud Hosting is Intuit Authorized Commercial Hosting. They offer genuine QuickBooks Licenses and host the solution on their cloud servers.

To know more about cloud accounting solutions, visit https://www.acecloudhosting.com, get in touch with a Solutions Consultant at 1-855-ACE-IT-UP, or send an email at solution@acecloudhosting.com.

Read more:
CPA Practice Advisor 2022 Readers Entrusts ACE Cloud Hosting as the Best Hosted Solution Providers and Best Outsourced Tech Service Providers - openPR

Announced at the Google Cloud Next 21 conference, Google Distributed Cloud (GDC) plays a critical role in the success of Anthos by making it relevant to telecom operators and enterprise customers. Google Distributed Cloud Edge, a part of GDC, aims to make Anthos the foundation for running 5G infrastructure and modern workloads such as AI and analytics.

Recently, Google announced the general availability of GDC Edge by sharing the details of the hardware configuration and the requirements.

5G

In its initial form, GDC Edge runs on two form factors - rack-based configuration and GDC Edge appliance. Lets take a closer look at these choices.

This configuration targets telecom operators and communication service providers (CSP) for running 5G core and radio access networks (RAN). The CSPs can expose the same infrastructure to their end customers for running workloads like AI inference that need ultra-low latency.

The location where the rack-based hardware runs is designated as a Distributed Cloud Edge Zone. Each zone runs on dedicated hardware that Google provides, deploys, operates, and maintains. The hardware consists of six servers, and two top-of-rack (ToR) switches connecting the servers to the local network. In terms of storage, each physical server comes with 4TiB disks. The gross weight of a typical rack is 900lbs or 408kg. The Distributed Cloud Edge rack arrives pre-configured with the hardware, network, and Google Cloud settings specified when it was ordered.

Once a DCE zone is fully configured, customers can group one or more servers from the rack to create a NodePool. Each node of the NodePool acts as a Kubernetes worker node connected to the Kubernetes control plane running in the nearest Google Cloud region.

This distributed topology gives Google the flexibility to upgrade, patch, and manage the Kubernetes infrastructure with minimal disruption to customer workloads. It allows DCE to benefit from a secure and highly available control plane without taking up the processing capacity on the nodes.

Google took a unique approach to edge computing by moving the worker nodes to the edge while running the control plane in the cloud. This is very similar to how Google manages GKE, except that the worker nodes are a part of the NodePool deployed at the edge.

The clusters running on DCE may be connected to Anthos management plane to gain better control over the deployments and configuration.

A secure VPN tunnel connects the local Distributed Cloud Edge infrastructure to a virtual private cloud (VPC) configured within Google Cloud. Workloads running at the edge can access Google Compute Engine resources deployed in the same VPC.

The rack-based configuration demands connectivity to the Google Cloud at all times. Since it runs in a controlled environment in a CSP facility, meeting this requirement is not a challenge.

Once the clusters are provisioned on the DCE infrastructure, they can be treated like other Kubernetes clusters. It is also possible to provision and run virtual machines based on kubevirt within the same environment.

CSPs from the United States, Canada, France, Germany, Italy, Netherlands, Spain, Finland, and the United Kingdom can order rack-based infrastructure from Google.

The GDC Edge Appliance is a Google Cloud-managed, secure, high-performance appliance for edge locations. It provides local storage, ML inference, data transformation, and export functionality.

According to Google, GDC Edge Appliances are ideal for use cases where bandwidth and latency limitations prevent organizations from processing the data from devices like cameras and sensors back in cloud data centers. These appliances simplify data collection, analytics, and processing at remote locations where copious amounts of data coming from these devices need to be processed quickly and stored securely.

The Edge Appliance targets enterprises from the manufacturing, supply chain, healthcare, and automotive verticals with low-latency and high throughput requirements.

GCD Edge Appliance

Each appliance comes with a 16 core CPU, 64GB RAM, an NVIDIA T4 GPU, and 3.6TB usable storage. It has a pair of 10 Gigabit and 1 Gigabit Ethernet ports. With the 1U rack-mount form factor, it supports both horizontal or vertical orientation.

The Edge Appliance is essentially a storage transfer device that can also run a Kubernetes cluster and AI inference workloads. With ample storage capacity, customers can use it as a cloud storage gateway.

For all practical purposes, the Edge Appliance is a managed device running Anthos clusters on bare metal. Customers follow the same workflow as installing and configuring Anthos in bare metal environments.

Unlike the rack-based configuration, the clusters run both the control plane and the worker nodes locally on the appliance. But, they are registered with the Anthos management plane running in the nearest Google Cloud region. This configuration makes it possible to run the edge appliance in an offline, air-gapped environment with intermittent connectivity to the cloud.

Analysis and Takeaways

With Anthos and GDC, Google defined a comprehensive multicloud, hybrid, and edge computing strategy. GDC Edge targets CSPs and enterprises through purpose-built hardware offerings.

The telecom operators need a reliable and modern platform to run 5G infrastructure. Google is positioning Anthos as the cloud native, reliable platform for running containerized network functions (CNFs) required for 5G Core and Radio Access Networks (RAN). By delivering a combination of managed hardware (rack-based GDC Edge) and software (Anthos) stack, Google wants to enable CSPs to offer 5G Multi-Access Edge Computing (MEC) to enterprises. It has partnered with AT&T, Reliance JIO, TELUS, Indosat Ooredoo, and more recently with Bell Canda and Verizon to run 5G infrastructure.

Googles approach is different from Amazon and Microsoft for delivering 5G MEC. Both AWS and Azure have 5G-based zones that act as extensions to their data center footprint. AWS Wavelength and Azure Private MEC enable customers to run workloads in the nearest edge location, managed by a CSP. Both Amazon and Microsoft are partnering with telecom providers such as AT&T, Verizon and Vodafone to offer hyperlocal edge zones.

Google is betting big on Anthos as the fabric to run 5G MEC. Its partnering with leading telcos worldwide in helping them build the 5G infrastructure based on its proven cloud native infrastructure based on Anthos. Though Google may have a competing offering for AWS Wavelength and Azure Private MEC in the future, its current strategy is to push GDC Edge as the preferred 5G MEC platform. This approach puts the CSP at the front and center of its edge computing strategy.

Google has finally responded to Azure Stack HCI and AWS Outposts with the GDC Edge Appliance. Its targeting enterprises who need a modern, cloud native platform to run data-driven, compute-intensive workloads at the edge. The edge appliance may be deployed in remote locations with intermittent connectivity, unlike the rack-based configuration.

With Anthos as the cornerstone, Google's Distributed Cloud strategy looks promising. It is aiming to win the enterprise edge as well as the telco edge with purpose-built hardware offerings. Google finally has a viable competitor for AWS Wavelength, AWS Outposts, Azure Edge Zones, and Azure Stack.

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Google Finally Gets The Edge Computing Strategy Right With Distributed Cloud Edge - Forbes