LabTech Ltd

Saint Petersburg, Russia

LabTech Ltd

Saint Petersburg, Russia
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Onestop IT has strategically evolved with the industry thanks to the seamless ConnectWise solutions. The powerful combination of ConnectWise and LabTech has helped Onestop IT keep up with the constantly evolving industry. The company used automation and newly gained access to business metrics to increase their overall efficiency, setting up the environment for 20% growth within one year of implementation.


News Article | July 20, 2017
Site: www.prweb.com

eFolder, a market leader in business continuity solutions for the IT Channel, today announced that eFolder co-founder Dr. Kevin Hoffman is adjusting his joint CEO/CTO role into a Founder & CTO role. Serving as CEO/CTO for 10 years, Kevin led eFolder from its humble beginnings to the market force it is today, with 200 employees, 3000 channel partners, and 4 proprietary product offerings. Matt Nachtrab, founder of LabTech, and eFolder’s current Chief Strategy Officer and Chief Revenue Officer, will become CEO. “It’s humbling how far we have come with our channel partners in the last 10 years, and yet, this is just the beginning of what we can become as our team gets even stronger,” said Kevin Hoffman. “Matt and I complement each other well: we both share a passion for this channel community, our partners, our employees, and delivering exceptional, game changing products. This partnership with Matt allows me to focus on delivering the next wave of innovation and product excellence that will propel the company to new heights, allowing our partners to thrive in a changing IT services landscape.” Matt Nachtrab said, “eFolder has a suite of data protection technologies with Replibit for backup and disaster recovery, Anchor for file sync and sharing, and Cloudfinder for backup, search, and eDiscovery for Office 365 and other SaaS services. The uniqueness and power of the eFolder suite is the main driver I accepted the appointment to lead eFolder as CEO. As an MSP, you will not regret performing an evaluation of the current version of these products for your offerings. Kevin is the most brilliant technology leader I have worked with, and now he can focus on eFolder technology. This focus will result in disrupting innovation at eFolder and result in significant profitability for the MSPs that choose eFolder.” “Matt has fit right in with the team here, and has already made a big impact on our strategy and growth,” said Kevin Hoffman. “He’s an exceptional leader, passionate about our mission, and understands the keys to building a successful business and making channel partners successful. We look forward to working closely together as we take eFolder and our partners into a very bright future.” Matt Nachtrab has spent nearly two decades demonstrating success across the IT Channel. He founded Nemsys, a Toledo MSP, in 1999. To this day, he retains ownership and works with Nemsys regularly. He founded LabTech Software in 2007, growing the company to over 400 employees, and working with over 5,000 partners supporting over 5,000,000 endpoints. When LabTech merged into ConnectWise in 2015, he then led the combination as President and COO. He holds a Bachelor of Engineering from Vanderbilt University, and a Master of Business Administration - Marketing and Finance - from Indiana University’s Kelley School of Business. Kevin Hoffman co-founded eFolder, which under his leadership pioneered cloud-based data protection and business productivity solutions in the IT Service channel. Kevin built up eFolder as a values-driven technology company that combines product excellence with exceptional service, and is backed by a passionate, caring, and collaborative team. Kevin has a Bachelor’s degree in Computer Science from Brigham Young University and a PhD in Computer Science from Purdue University. His published research includes work on memory programming models, language theory & runtimes, aspect-oriented programming, software modularity, dynamic software analysis, automated debugging and reputation systems. About eFolder eFolder is a leading supplier of cloud business continuity, cloud file sync, and cloud to cloud backup solutions for MSPs, cloud service providers, system integrators, and VARs. Delivered as wholesale services to the channel, eFolder enables its partners to provide branded business continuity, file sync, and cloud to cloud backup services and to generate highly profitable, recurring revenue. eFolder services complement many of the managed service offerings already deployed by partners and integrate with common PSA systems, making adoption of eFolder services fast and easy. eFolder also empowers cost-effective partner and end-user private clouds, allowing partners to meet the needs of any client, regardless of size or readiness to engage in public cloud services. eFolder is a privately held company and is headquartered in Denver, CO. For more information, please visit: http://www.efolder.net and follow us on Twitter: @eFolder


Key Quotes: Charlie Tomeo, Vice President of Worldwide Business Sales, Webroot "A solution that combines endpoint and DNS-based web security helps protect businesses from threats while lowering overall support costs. ConnectWise has created a loyal following within the MSP community, and we are thrilled to expand our partnership to offer customers better protection and performance." Gavin Gamber, Vice President of Channel Sales and Alliances, ConnectWise  "At ConnectWise, we are dedicated to helping technology solution providers grow their businesses, and that's why we partner with Webroot. Together, we can offer MSPs solutions that protect against the increasing amount of cybersecurity threats that plague companies every day. With the combination of DNS and endpoint protection, comprehensively integrated into ConnectWise Automate, formerly LabTech and ConnectWise Manage, this is the type of solution that makes our partners successful." About ConnectWise ConnectWise transforms how technology solution providers successfully build, manage, and grow their businesses. Our award-winning set of software solutions provide a fully integrated, seamless experience to companies in more than 50 countries, giving them the ability to increase their productivity, efficiency, and profitability. When combined with our relentless commitment to innovation, powerful network of ideas and experts, unparalleled passion for our users, and more than 30 years of experience, ConnectWise software solutions deliver the support companies want at each step of their business journey. For more information, visit www.ConnectWise.com. About Webroot Webroot delivers next-generation endpoint security and network security and threat intelligence services to protect businesses and individuals around the globe. Our smarter approach harnesses the power of cloud-based collective threat intelligence derived from millions of real-world devices to stop threats in real time and help secure the connected world. Our award-winning SecureAnywhere® endpoint solutions, BrightCloud® Threat Intelligence Services, and FlowScape solution protect millions of devices across businesses, home users, and the Internet of Things. Webroot is trusted and integrated by market-leading companies, including Cisco, F5 Networks, Aruba, Palo Alto Networks, A10 Networks, and more.  Headquartered in Colorado, Webroot operates globally across North America, Europe, and Asia. Discover Smarter Cybersecurity™ solutions at www.webroot.com. Social Media: Twitter | LinkedIn | YouTube | Facebook ©2017 Webroot Inc. All rights reserved. Webroot, SecureAnywhere, Webroot SecureAnywhere, Webroot BrightCloud, BrightCloud, and Smarter Cybersecurity are trademarks or registered trademarks of Webroot Inc. in the United States and other countries. All other trademarks are properties of their respective owners. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/webroot-and-connectwise-expand-partnership-to-help-customers-reduce-web-browsing-risks-300469956.html


This report studies the global IT Asset Management (ITAM) Software market, analyzes and researches the IT Asset Management (ITAM) Software development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like Microsoft BMC IBM Software Symantec Attachmate JustSAMIt Scalable Software Samanage HewlettPackard Freshservice Spiceworks Deloitte Real Asset Management Lansweeper LabTech InvGate Auvik StacksWare INSPUR eAbax Chevin FleetWave ManageEngine Atlassian Market segment by Type, IT Asset Management (ITAM) Software can be split into Cloud Based ITAM Software On-Premises ITAM Software Web-based ITAM Software Market segment by Application, IT Asset Management (ITAM) Software can be split into Corporate Education Government Others Global IT Asset Management (ITAM) Software Market Size, Status and Forecast 2022 1 Industry Overview of IT Asset Management (ITAM) Software 1.1 IT Asset Management (ITAM) Software Market Overview 1.1.1 IT Asset Management (ITAM) Software Product Scope 1.1.2 Market Status and Outlook 1.2 Global IT Asset Management (ITAM) Software Market Size and Analysis by Regions 1.2.1 United States 1.2.2 EU 1.2.3 Japan 1.2.4 China 1.2.5 India 1.2.6 Southeast Asia 1.3 IT Asset Management (ITAM) Software Market by Type 1.3.1 Cloud Based ITAM Software 1.3.2 On-Premises ITAM Software 1.3.3 Web-based ITAM Software 1.4 IT Asset Management (ITAM) Software Market by End Users/Application 1.4.1 Corporate 1.4.2 Education 1.4.3 Government 1.4.4 Others 2 Global IT Asset Management (ITAM) Software Competition Analysis by Players 2.1 IT Asset Management (ITAM) Software Market Size (Value) by Players (2016 and 2017) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future 3 Company (Top Players) Profiles 3.1 Microsoft 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 IT Asset Management (ITAM) Software Revenue (Value) (2012-2017) 3.1.5 Recent Developments 3.2 BMC 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 IT Asset Management (ITAM) Software Revenue (Value) (2012-2017) 3.2.5 Recent Developments 3.3 IBM Software 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 IT Asset Management (ITAM) Software Revenue (Value) (2012-2017) 3.3.5 Recent Developments 3.4 Symantec 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 IT Asset Management (ITAM) Software Revenue (Value) (2012-2017) 3.4.5 Recent Developments 3.5 Attachmate 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 IT Asset Management (ITAM) Software Revenue (Value) (2012-2017) 3.5.5 Recent Developments 3.6 JustSAMIt 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 IT Asset Management (ITAM) Software Revenue (Value) (2012-2017) ..…..Continued For more information, please visit http://www.wiseguyreports.com


NEW YORK, Sept. 13, 2017 /PRNewswire/ -- Global Automated Sample Storage Systems Market: Overview This report on the global automated sample storage systems market analyzes the current and future prospects of the market. The report comprises an elaborate executive summary, including a market snapshot that provides overall information of various segments and sub-segments. Read the full report: https://www.reportlinker.com/p05098943 Global Automated Sample Storage Systems Market: Scope and Methodology The research is a combination of primary and secondary research. Primary research formed the bulk of our research efforts along with information collected from telephonic interviews and interactions via e-mails. Secondary research involved study of company websites, annual reports, press releases, stock analysis presentations, and various international and national databases. The report provides market size in terms of US$ Mn for each segment for the period from 2015 to 2025, considering the macro and micro environmental factors. Growth rates for each segment within the global automated sample storage systems market have been determined after a thorough analysis of past trends, demographics, future trends, technological developments, and regulatory requirements. A detailed qualitative analysis of factors responsible for driving and restraining market growth and future opportunities has been provided in the market overview section. This section of the report also includes market attractiveness analysis that provides a thorough analysis of the overall competitive scenario in the global automated sample storage systems market. Market revenue in terms of US$ Mn for the period between 2015 and 2025 along with the compound annual growth rate (CAGR %) from 2017 to 2025 are provided for all the segments, considering 2016 as the base year. Market size estimations involved in-depth study of services and product features of different types of services. Additionally, market related factors such as Biobanking Efficiency & Cost Cutting, Growing demand for biological samples from researchers, and Outsourcing of biobanks have been taken into consideration while estimating the market size. Automated Sample Storage Systems Market: Segmentation The automated sample storage systems market has segmented into four categories, namely by product type, by application, by capacity, by end-user and by region. Automated Sample Storage Systems Market: Geographical and Competitive Dynamics Geographically, the global automated sample storage systems market has been segmented into five regions: North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. In addition, the regions have been further segmented by major countries from each region. These include the U.S., Canada, the U.K., Germany, France, China, Japan, India, Saudi Arabia, UAE, Brazil, and Mexico. The report also profiles major players in the automated sample storage systems market based on various attributes such as company overview, financial overview, SWOT analysis, key business strategies, product portfolio, and recent developments. Key companies profiled in the report include Brooks Automation, Inc., TTP LabTech, Thermo Fisher Scientific, Inc., Angelantoni Life Science, LiCONiC AG, Panasonic Healthcare Co., Ltd., Biotron Healthcare, Haier BioMedical (Haier Group), ASKION, and Tsubakimoto Chain Co. and others. The global Automated Sample Storage Systems market is segmented as follows: Global Automated Sample Storage Systems Market Revenue, by Product Type System Unit Reagents & Consumables Global Automated Sample Storage Systems Market Revenue, by Application Biological Sample Storage Compound Storage Global Automated Sample Storage Systems Market Revenue, by Capacity Less Than 100K Samples 100K – 500K Samples 500K – 2M Samples More Than 2M Samples Global Automated Sample Storage Systems Market Revenue, by End User Pharma & Biotech Companies Academic Research Labs Private Biobanks Others Global Automated Sample Storage Systems Market Revenue, by Geography North America US Canada Europe UK Germany France Rest of Europe Asia Pacific China Japan India Australia & New Zealand Rest of Asia Pacific Latin America Brazil Mexico Rest of Latin America Middle East and Africa South Africa Saudi Arabia Rest of Middle East & Africa Read the full report: https://www.reportlinker.com/p05098943 About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place. https://www.reportlinker.com __________________________ Contact Clare: clare@reportlinker.com US: (339)-368-6001 Intl: +1 339-368-6001


The present disclosure is directed to systems and methods of managing remote devices. The system can include a server with memory, a detection module, and a collection module. The memory can store a management information base (MIB) having a hierarchical tree of object identifiers and corresponding object values. The detection module can query devices and receive a first object identifier and its first object value, which can vary from those in the MIB; and use patterns to match the first object identifier and object value; and generate an identification of the device from the matches. The collection module can use the identification to select a collection template, which can indicate a subtree of the MIB and a collection pattern; traverse the subtree and identify a second object identifier that matches the collection pattern, and its second object value; and associate the second object value with the first object value.


Systems and methods of the present disclosure facilitate updating the translation provided by one or more name servers from symbolic names to network addresses. In some embodiments, the system includes one or more remote devices, a management server, a configuration module, a detection module, and/or an update module. The management server may be configured to monitor and manage the remote device, which may be provided with network addresses by one or more address provisioning servers. Responsive to the detection module detecting a change in the network address of a remote device, the update module may update one or more name servers using an update program that includes templates for a control file, authentication information, and/or a template obtained from the management server. The detection and update modules can execute on remote devices or on the address provisioning server, and can be installed and configured automatically by the management server.


Embodiments of systems and methods for providing access to a server by remote devices are shown. In some embodiments, the system includes a scheduling module, a connection module, and/or a timer module. The scheduling module may compute a timer period and timer offset for each remote device on the server to facilitate evenly distributing connections by remote devices and avoid exceeding the maximum bandwidth of the communication channel. The connection module may initiate a connection from each remote device to the server to retrieve the timer period and timer offset. The timer module on each remote device may be controlled by the timer period and timer offset, and trigger the initiation of the connection module. A remote devices status may be offline if the initiation of the connection falls outside a tolerance window corresponding to the timer period and timer offset.


Systems and methods of the present disclosure facilitate providing a marketplace for accessories of a remote monitoring and management product. In some embodiments, the system may be configured to create a first user account for a first user with a first number of points, and a second user account for a second user with a second number of points. The system may obtain a first RMM accessory item (e.g., a monitor, a data view, an antivirus definition, a search, a report, a script, a system component, a plugin, a probe, or a definition) and a corresponding price. Responsive to receiving an indication of interest, the system may transmit the first RMM accessory item to the second user, add to the first number of points a first multiplier times the price, and subtract from the second number of points a second multiplier times the price.


This disclosure facilitates managing lost devices. In some embodiments, a system receives a first device type from a first agent on a first device, and a different second device type from a second agent on a second device. The system receives a first group associated with the first device and a different second group associated with the second device. The system determines that the first device and the second device are lost and accesses a database storing first and second configuration classes associated with the first and second devices, respectively. The system creates first and second device-dependent classes based on the first and second device types and the first and second configuration classes, respectively. The system melds the first device-dependent class into a first melded profile and the second device-dependent class into a second melded profile, using the respective groups, and applies the melded profiles to the corresponding device.

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