The script content on this page is for navigation purposes only and does not alter the content in any way. 2 Capacity Planning Capacity planning is the process of determining which server hardware will best support an Oracle Access Manager deployment based on anticipated usage. The information in this chapter provides a basis for capacity planning that helps ensure that the server hardware in an Oracle Access Manager deployment is adequate for handling peak loads. This chapter includes the following topics:. For a general overview of Oracle Access Manager deployments, see.
2.2 Estimating the Anticipated Peak System Load for Server Sizing Appropriate server sizing should ensure that your server hardware can handle the maximum number of operations that can be expected in a particular time interval. Put another way, the server hardware in your Oracle Access Manager deployment should accommodate all users during times of peak load.
Information about the peak load for a given time interval can usually be obtained from:. Measurements from live systems in use or historical data. Calculations and projections Oracle Access Manager is a stateless system. Therefore, the estimated maximum transaction throughput and network traffic are critical factors in capacity planning. This section includes the following topics:. 2.2.1 Measuring the Load This discussion describes two methods that you can use to measure the load during peak hours in an Oracle Access Manager deployment. From this information, you can estimate your overall system-capacity requirements.
You can compare your load estimates (transactions-per-user-per-second) with your equipment manufacturer's specifications for server hardware. Based on these comparisons, you can determine if the machines you already have are adequate for supporting the estimated load. If existing machines are not adequate, you can base your equipment choices in part on your own throughput requirements. There are numerous network traffic and Web site usage monitoring tools available for use with the methods described here. However, use of third-party tools is outside the scope of this book. This discussion includes the following topics:.
2.2.1.1 Measuring the Load in a Deployment Measuring the load includes establishing the highest number of pages and requests per second over a given time interval. This provides you with a good idea about your overall system-capacity requirements. While you can measure usage over as little as a 24-hour period, Oracle recommends that you measure usage over a period of several weeks. If usage tends to spike during particular weeks of the year, try to obtain measurements from the busiest weeks. From this, you can better extract system-capacity requirements that will hold true even in the busiest period. To estimate a typical busy load, you multiply the value of an average heavy load by a small integer such as 2 or 3. This allows for usage patterns that are two or three standard deviations higher than an average heavy load, assuming a Gaussian distribution (bell curve) of loads.
To base your estimate on the peak load for the deployment. Measure usage over a significant period of time to obtain measurements from the busiest period. Choose the highest value seen in a production deployment to use during the next step. Estimate the parameters of a typical busy load by multiplying the value of an average heavy load by a small integer such as 2 or 3. Another method that you can use is to measure the active user sessions in a multi-site deployment, as described next.
Note: To ensure accuracy using this method, the actual user request rate during peak hours should come from either monitoring the live system in use, or from historical data. A table such as allows you to estimate the times when the majority of the users on each site are busiest (the shaded area). Each column reflects an hour of the day (local time) that is recorded based on Greenwich Mean Time (GMT). Each row represents the number of logged-in users that were monitored at that hour.
According to the example, usage in Mexico City typically starts at GMT 12 and continues through GMT 24. The peak in Mexico City occurs between GMT 16 through 19. Note: Mexico City, Mexico is 6 hours behind GMT.
Therefore, when it is 6:00:00 PM on Tuesday, February 6, 2007 in Mexico City, GMT is 00:00:00 on Wednesday, February 7, 2007. Greenwich Mean Time (GMT) or World Time is also known as Universal Time Coordinated (UTC). GMT, World, and UTC time reflects the mean solar time along the Earth's prime meridian. The prime meridian is arbitrarily based on the meridian that runs through the Greenwich Observatory outside of London, England, where the present system originated. UTC is also known as Coordinated Universal Time and sometimes as Universal Coordinated Time; all are abbreviated as UTC and refer to the standard time common to every place in the world (formerly and still widely referred to as Greenwich Mean Time or World Time.
Table 2-1 Peak Load Based on Estimated Usage Across Sites Peak hours GMT 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Mexico 0 0 0 3 75 150 175 225 225 225 225 225 225 225 225 175 Spain 35 50 75 50 25 35 50 75 75 75 75 35 20 0 0 0 Egypt 45 45 50 50 50 50 50 55 55 45 30 10 0 0 0 0 U.S. 2.2.2 Projecting System Usage When there is no simple way to measure usage, or when there is no historical data available, you can use the method described here to project the system usage in an Oracle Access Manager deployment. Projected Number of Users: Obtain data on the number of users per office from the Human Resources department, or some other authoritative source in your enterprise.
From this you can estimate the total number of users accessing resources during peak hours. Be sure to include full-time employees, part-time employees, and contractors in your estimate. Projected Time Intervals in a Geographically Distributed Deployment: Rather than trying to gather statistics on who is logged in at each site, it may be more practical to identify peak usage time intervals in a geographically distributed deployment and estimate the number of users who are active during those intervals. For instance, suppose your company has offices in several countries worldwide.
You can create a chart of regular office hours plotted against Greenwich Mean Time (GMT). A table such as allows you to estimate the times when the majority of the offices are busiest (the shaded area), which is a good indication of peak load hours. In, the number 1 within each row indicates 12:00 00AM local time as well as its relationship to GMT. For example, with daylight savings time in effect 12:00AM in Mexico City occurs at 07:00 AM GMT. Table 2-2 Chart of Office Hours Plotted Against GMT with Daylight Savings Time GMT 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Mexico 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Spain 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 Egypt 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 U.S.
20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Columbia 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Costa Rica 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Indonesia 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 Taiwan 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 A table such as provides user community statistics per office, from which you can estimate the total number of users accessing resources protected by Oracle Access Manager during peak hours. Table 2-3 Employee and Contractor Data from an Authoritative Source in Your Company Country Full time Part time Contract Total Mexico 3021 4 Spain 755 356 5 1116 Egypt 329 275 0 604 U.S. 134 25 55 214 Columbia 1290 2 Costa Rica 175 130 0 305 Indonesia 250 97 18 365 Taiwan 286 88 44 418 You can create a simple throughput projection based on:. An estimate of the total maximum number of users that you expect to be logged in at the same time.
The estimated number of transactions per user for a given time period. The estimated transactions-per-second that need to be supported You can compare your transactions-per-second estimates with claims made by your hardware vendors. For example, using information in the and as a sample, you can project the total users and peak load as follows:.
Total Maximum Users: Add together the total number of users on each site. Using the data in as a sample: 3552+1116+604+214+1546+305+365+418=8120 total users.
Peak Load: This calculation is similar to the one described in where you multiply the total users by the estimated requests per minute (4 is a good number unless you have better data) then divide the requests per minute by 60 seconds to establish the requests per second. Total maximum users. Requests per minute / 60 seconds = Total requests per second Using the data in as a sample:, you can project: 8120 total users.
4 requests per minute = 32,480 / 60 seconds = 541 requests per second Based on your human resources data, this is the maximum possible load. Therefore, you do not need to multiply the peak load to take account into the Gaussian distribution of loads.
However, you may want consider some safety factors that project the future growth in the system usage. To project system usage. Create a chart of hours plotted against GMT for your deployment, using the sample as a guide. List each GMT hour in a separate column across the top of your table.
Create a row for each office site in your deployment in the left column of the table. For each site, add a number from 1-24 to indicate local time as it corresponds to the site's offset from GMT using as a guide.
Determine the hours of peak usage for each site in the table and highlight those. Create a table template for employee and contractor data for each site using the sample as a guide. Obtain the number of users per site from your Human Resources department or another authoritative source in your enterprise. For each site in your table, enter the number of: Full time employees Part-time employees Contractors.
Calculate and enter the total number of users for each site. Add the total for each site to estimate of the maximum number of users that could be logged in at the same time. Estimate of the maximum load using the calculation below: Maximum total users.
Oracle Capacity Planning And Sizing Spreadsheets Cracking
Requests per minute / 60 seconds = Total requests per second. Consider adding in some safety factors to project future growth in system usage. 2.3.1 Identity and Access Server Recommendations As discussed in, Oracle recommends installing only one Identity or Access server instance per dedicated machine because 85% utilization is considered a fairly standard load.
If you anticipate that the combined utilization for a pair of primary Identity and Access Servers is below 85%, you could consider the following option to help reduce the required hardware estimate:. One host is installed with a primary Identity Server and a secondary Access Server. A different host is installed with both a primary Access Server and a secondary Identity Server The primary server handles the load unless there is a failover situation. During failover, the secondary server handles the load. If the secondary server becomes activate the utilization of both servers should add up within 85%.
If the combined load is projected to be much greater, Oracle recommends that you install the secondary Identity or Access Server on a different machine. 2.3.3.1 Access Server Recommendations Depending on the load, Access Servers can reach both high CPU and memory utilization. This is critical when planning for the number of Access Servers in your deployment.
System configuration and deployment scenarios also affect performance significantly and are critical factors in capacity planning. For example, the following items are will impact your capacity planning and sizing calculations, as well as your performance tuning decisions.
Whether you have the following functions configured to be on versus off will depend on the requirements of your enterprise:. The transport security mode between each tier (whether open or SSL-enabled). Auditing on. User and group caches.
The policy cache. User credential caching. Password policy The describes transport security modes. Windows server 2008 iso download.
For performance tuning recommendations, see. For more information about the features above, see and. 2.3.3.3 WebGate Impact on Web Server Performance A WebGate may be installed against an existing Web server instance or a new Web server instance.
The number Web server/WebGate pairs depends on usage patterns within the deployment. There is some degradation to baseline Web server performance (about 10% to 20%) when hosting a WebGate. Based on this estimate, Oracle recommends that you add one additional Web server/WebGate pair for every five Web server/WebGate pairs in the deployment. Put another way, to provide the same Web server performance, you should add a sixth Web server/WebGate pair for every five Web server/WebGate pairs.
For details about Web server requirements, see the. 2.4.1 Scale-Up Characteristics Scaling up refers to adding additional processors to your deployment to increase capacity.
The results of this test show a fairly nice linear scale up of throughput versus the number of processors. Shows the Oracle Access Manager scale-up characteristics in a 4-CPU Wintel system.
Oracle Access Manager benefits from Hyper-Threading (simultaneous multithreading on the Pentium 4 microarchitecture). With Hyper-Threading enabled, a Pentium 4 processor is treated by the operating system as two processors instead of one. In, you can plot the throughput ratio of a scale-up test in a 4 CPU system.
Figure 2-1 Oracle Access Manager Scale Up (4 x 2.2 Ghz CPU) In the bar chart shown in, throughput-ratio data values are shown along the vertical y-axis. Unduh gratis games alien shooter 3. The horizontal x-axis provides the following category data:. P represents the number of processors. L represents the number of logical processors for the Hyper-Threading equipped processors.
For the same Hyper-Threading equipped processors, with Hyper-Threading turned on the system shows 2 logical processors; if Hyper-Threading is turned off, the system shows 1 logical processor. 1P+1L and 2P+2L data show the performance with Hyper-Threading turned off. 1P+2L, 2P+4L, 3P+6L, and 4P+8L data show the performance with Hyper-Threading turned on. The throughput ratio of from 1 to 3.4 is calculated by dividing the throughput of each test by the throughput of the 1P+1L results. Therefore, the 1P+1L data is 1.
2.4.2 Scale-Out Characteristics Scaling out, also known as scaling out horizontally, refers to adding more physical servers to increase the capacity in your deployment. Shows Oracle Access Manager scale-out characteristics based on a series of tests that run with from one to four identical Wintel servers. In this series of tests each Oracle Access Manager server was driven to 100% CPU, and then the throughput was measured. You can see an almost straight linear increase ion throughput as the number of servers increase.
Table 2-4 Configuration Settings for Performance Tests Config # Transport Security: Web Components to Identity and Access Servers Identity Server: Password and Lost Password Policy Auditing of Identity and Access Servers User Login User Credential Caching on Access Server Config 1 Simple or Third-Party Certificate Enabled On Form-based On Config 2 Simple or Third-Party Certificate Enabled Off Basic-Over-LDAP On Config 3 Simple or Third-Party Certificate Disabled Off Basic-Over-LDAP On Config 4 Open Disabled Off Basic-Over-LDAP On. 2.4.4 Baseline Performance for Identity and Access Servers This discussion illustrates the results of a baseline performance test. You can use the baseline ratios here in combination with details in and to estimate possible server (or server cluster) throughput and capacity. For this test, 1 million users were loaded into a Sun Java System directory server v 5.2 in a joint Oracle Access Manager Identity and Access System deployment. During this test there were 100,000 active user sessions on the Identity and Access Servers. This deployment configuration includes:.
Either Simple or third party certificate to secure communication between Web server components and Identity and Access Servers. On the Identity Server, password and lost password policy are configured and enabled as follows:. Password policy requires uppercase, number, and lowercase with account lock out after three wrong tries. Lost password challenge is set, password histories are stored for three tries. Auditing to file is turned on for the Identity and Access Servers. Form-based login is configured; required credentials are Username and password.
User credential caching in the Access Server is turned on. Baseline throughput numbers were obtained from the test setup described above. The results of this test are shown in. The numbers are normalized, and equivalent to the 1P+2L server data shown in. 2.5 Oracle Access Manager Reference Server Footprint This discussion provides details based on use cases created by Oracle to establish a point of reference for Oracle Access Manager components in live deployments of varying size.
A small scale deployment can be estimated as up to 20,000 users. A small-to-medium-sized deployment typically includes up to 100,000 users. Large scale deployments include from 100,000 to 2,000,000 users. Oracle Access Manager components perform well on standard hardware.
Based on tests with various configurations (Config4 shows the highest memory consumption), you may find that:. 100,000 active user sessions may consume from 600 MB to 1 GB of memory on an Access Server. With 32-bit systems, the Operating System can usually support up to 2 GB of memory per process The following topics provide more information about the hardware for Oracle Access Manager deployment sizes:.
2.5.1 Hardware for Small-to-Medium Deployments For small to medium-sized deployments with between 20,000 and 100,000 users, any supported server-class computer and operating system should be adequate for the Identity and Access Server. The following items should be taken into account:. Failover requirements double the number of machines needed. For example, expect to use a minimum of two Identity Servers and two Access Servers for redundancy. When the load is light, these servers may be deployed in a cross-over configuration to optimize hardware utilization. For more information, see. Sever Sizing.
A minimum of 2 GB of memory is needed for each Identity and Access System process. A minimum of a 2 x 2 GHz CPU system with 4 to 6 GB of memory for each server. A single dedicated Web server is required for the System Console.
This may be deployed on either of the two main Access and Identity Servers to eliminate additional hardware requirements. For more information about Oracle Access Manager requirements, Web server requirements, and how to prepare for and install components, see the.
2.5.2 Hardware for Large Deployments For deployments of 100,000-2,000,000 users, Oracle recommends the following hardware for Identity and Access Servers:. Each server should be a 4 x 2 GHz CPU system, or a 2 x 2 GHz system, with 6-8 GB of memory and 2 x 17 GB of mirrored storage. A cluster setup is preferred. Deplopy the Identity Server in a Delegated Administration model as described in the For a multi-million user deployment, Oracle recommends that you scale-out with multi-servers using guidelines. Use to establish your sizing requirements. For more information about Oracle Access Manager requirements, Web server requirements, and how to prepare for and install components, see the.
2.6 Considerations for the LDAP Directory Server In addition to the Lightweight Directory Access Protocol (LDAP) directory server considerations discussed in, Oracle recommends that you consider using multiple LDAP directory servers to balance the load if there are significant update operations that involve the Identity Server (or Identity and Access Servers in a joint deployment). This is especially true for password policy-related operations. In such cases, a multi-master and replica for the LDAP server allows you to configure load balancing between the Identity Server and the LDAP replica (as well as between the Access Server and LDAP replica in a joint Identity and Access System deployment). When authenticating against the LDAP directory, consider enabling Access Server's user credential caching. This can significantly lower the load on the LDAP directory server during authentication, and improve throughput. For more information, see.
Disk Space Sizing: A general rule of thumb is to multiply your LDIF file size by 5 to establish the actual LDAP disk space needed for entries and the index. During LDAP initialization, the host computer needs at least the same amount temporary disk space as the LDIF file size multiplied by 5. Each backup copy of your LDAP content requires the same amount of disk space as that of the live LDAP server. For example, an LDIF file for 1 million users is approximately 2 GB in size. When loaded, a 2 GB LDIF file expands to approximately 10 GB. When you take into account the temporary space during initialization, and space required for three full backup copies, you need at least 2 x 5 x 5 = 50 GB disk space: LDIF size. 5 = Expanded LDIF size Total LDIF.
2 = LDIF and Temporary space Total LDIF. 3 = Backup space Expanded LDIF. 2 + Backup space = Total Disk Space For example: 2 GB.
5 = 10 GB. 2 = 20 GB + 30 = 50 GB Memory Sizing: This depends on the LDAP server and the deployment configuration you choose.
Oracle recommends that you review the LDAP documentation for your specific directory server and Operating System. For 32-bit systems, the Operating System may impose a 2 GB limitation per process. For large-scale deployment, a 64-bit system and Operating System are preferred. For more information, see:.
2.6.1 LDAP Server Requirements For Small to Medium Deployments Most currently available directory servers with 2 GB of memory may be adequate for small to medium sized deployments of up to 100,000 users. In addition, Oracle recommends that you:. Use disks that are RAID 01 (striped and mirrored) for the directory server. Use two replicated directory servers for failover.
Have enough memory to hold two times the LDAP data in memory. Have an LDAP cache that is large enough to hold the entire database.
Have available 5 GB of disk storage per directory server. 2.6.2 LDAP Server Requirements For Large Deployments For deployments of 100,000 and more users Oracle makes the following recommendations:. Allow 100 GB of disk storage for 2 million users. Segregate physical drives for directory server access and error logs from the attribute data (indexed or not) volume drives For example, Oracle Internet Directory I/O Subsystem Requirements include arrays of disk drives controlled by disk controllers. It is important to consider performance requirements when you size the I/O subsystem rather than using sizing estimates based only on storage requirements. For more information, see the Oracle Application Server Best Practices Guide. Allow CPUs 2 or 4 x 2 GHz: If Access Server user credential caching is configured and on, you can significantly lower the LDAP server load and boost performance.
Allocate at least 2 GB of RAM for a 100,000 user directory; at least 4 GB for a very large directory. Table 2-6 Server Installation Details Number of Servers Installed With 5 Oracle HTTP Server/WebPass/WebGate 2 Access & Identity Server 2 LDAP Server 2 LR Test Load Drivers For the baseline test deployment quoted in this chapter:. The servers (Sun Java System Directory Server, Oracle HTTP Server and Oracle Access Manager), are running on a Windows 2003 Server (SP1).
Each server has 2x2.8 GHz CPUs and 6 GB of RAM, with 140 GB of disk space. Access Server and Identity Servers are co-located and configured as a primary-secondary setup. One LDAP directory server is used. WebPass and WebGate are installed on each of five Oracle HTTP Servers. The Policy Manager is installed on one of the Oracle HTTP Server systems You can scale this deployment as follows:. Increase the number of Oracle Access Manager server hosts to spread the load and offer higher redundancy.
Increase capacity by increasing the amount of CPUs, memory, and disk space to improve server performance. The LDAP directory server supports the addition of new servers for cases where this is desired to improve performance and reliability. For more information on scaling a deployment, see and. 2.8.1.2 Lost Password Test Case For this test case, Oracle configured a password policy that accounts for the syntax and history of the password.
15% of logged in users will try to change their password. Changing a password should succeed approximately 80% of the time. In the remaining 20% of cases, the password may be either too short, too weak, or repeated. For example after a user incorrectly enters his or her password when asked for his or her challenges, and then they go into the password change screen.
For the lost password screen, 10% of wrong user ID entered errors, and 10% of wrong challenges/response, and then 80% of the cases could make it to the next screen (change password). 2.8.3 Integrated Baseline Performance Test Case All above test scenarios were run together with the mix ratios specified in each scenario. This is a more realistic test case that represents the real-life usage of Oracle Access Manager. If both the Access Server and Identity Server are to be deployed, Oracle recommendeds that you size the system starting with this use case.
Footnote Legend Footnote 1: Wintel is an industry term for personal computers that are based on the Intel microprocessor with one of the Microsoft Windows operating systems. Footnote 2: Intel's trademark for their implementation of this technology is officially called Hyper-Threading Technology (HTT).
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Harnessing the power of collaboration software for project management can open up a simpler, less costly way to manage and execute your. SpiraPlan is the Enterprise Agile Program Management tool that let's all your projects work in harmony! With SpiraPlan, manage your tasks, issues, and code quickly and easily.
Synchronize your projects, programs and resources to make sure the right people are doing the right work to meet your goals. SpiraPlan helps you set goals and execute on them with real-time, cross-project reporting. If you need to deliver on-time and on-budget, while tracking in all, SpiraPlan has you covered. SpiraPlan is a complete Enterprise Agile Program Management system that helps plan, manage and track your programs and resources. CANEA Project will improve project management work in many ways. Powerful features for planning and control increase the ability to execute projects both within schedule and budget. The system will help you collaborate within teams, re-use experience from previous projects and get transparent and quick access to project information through all devices.
You will also get a comprehensive and continuously updated overview of the entire project portfolio. CANEA Project is a comprehensive tool that will support you in taking your project maturity to the next level. A platform with wallchart interface that helps organizations centralize resource usage data and better plan future utilization. Retain is trusted by the Big Four (KPMG, Ernst & Young, Deloitte and PwC) and many other professional services organizations. The Retain Resource Planning System is self-hosted and is available as a MS-Windows, browser-based and mobile application.
A platform with wallchart interface that helps organizations centralize resource usage data and better plan future utilization. Easy Projects is a cloud-based project management platform ideal for fast-moving teams inside Mid-Sized organizations and enterprises that have outgrown their current project or task management tools. Easy Projects offers: Kanban board and Gantt Chart Robust project management to support WBS (unlimited hierarchy), multiple dependencies, critical path management, and portfolio management; Custom forms Mobile Apps Resource management 1000+ integrations Enterprise-class data security Easy Projects is a cloud-based PPM platform for fast-moving teams inside Mid-Sized organizations and enterprises teams.
ManageEngine ServiceDesk Plus is a Help Desk and Asset Management Software. It offers an Integrated Package with Incident Management(Trouble Ticketing), Asset Tracking, Purchasing, Contract Management, Self-Service Portal, and Knowledge Base at an Affordable Price Point.
ServiceDesk Plus provides all that you need to have a Full-Fledged IT Help Desk and a Productive Help Desk Staff. ManageEngine ServiceDesk Plus is available in both On-Premise and On-Demand. Help Desk Support Software and Asset Management Tool includes, Knowledgebase, SLA Management, Ticket Tracking, Inventory Management.
Web-based project management software solution for small and large teams. Its modeling flexibility make it a good tool for both classic waterfall and agile and / or scrum based teams. Includes a powerful web based Gantt tool, and is available both as cloud service and local install. Its rich feature set covers project management, work logging, issue tracking, team agenda and meetings, workflow models, help desk, document management and much more. Web-based project management software solution for managing work and communication through projects in any field. Saviom ERM is designed to help you maximize your project resource efficiency. Based on the principles of scientific resource management, the tools comprehensive visibility, real-time reports and futuristic statistics together ensure that you achieve enhanced project completion with fewer resources.
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Enjoy intuitive capacity versus demand reports and other custom-designed features that map leave, cost, time and utilization management. Optimize your project resource planning and scheduling with Saviom ERM's real-time visibility, instant utilization and forecast insight. We provide software to help you manage your projects, programmes and portfolios. Give them the support they deserve with process & methods, governance, planning & resourcing, reporting & dashboards, risks & issues, benefits & finances. A full set of capabilities, proven and easy to adopt and at a price you can afford. We provide products with a range of functionality and price to meet your needs whether you want your solutions on-premise or SaaS based. Try our free for life tools today!
Project management software that delivers PMO, reporting, resourcing and process straight out of the box. Including PRINCE2 and MSP. Use airfocus to prioritize your strategic projects to build more effective roadmaps. Airfocus integrates with Jira, Trello, Asana or CSV to get you started in minutes. Start your free 14 day trial on airfocus.io - Identify your priorities with an easy-to-use scoring system - Make better decisions with visualized priorities - Create priority-based roadmaps in minutes - Collaborate in real time and share your plans Prioritize your projects to build more effective roadmaps. Airfocus integrates with Jira and Trello to get you started in minutes. Wimi is a project management tool that helps you stay organized and make teamwork more efficient.
Wimi goes beyond typical PM software by enabling teams to track everything they're working on. With messaging channels, files & drive, tasks, calendars and video conferencing, Wimi lets your entire team collaborate effortlessly and work smarter on projects. Thanks to Wimi refined access-right management, you can also bring your clients on board and share specific data with them. Wimi is the most user-friendly and comprehensive project management tool for SMBs. Awarded 'Most Recommended Project Management Software' by Capterra, Samepage is built to keep your team, customers, partners, and vendors working together smoothly and efficiently. Combine files, tasks, calendars, maps, videos, diagrams and team conversation together on one page. Edit a page & track changes simultaneously with anyone you choose.
Chat via video or text with individuals or teams without having to switch to another chat platform. Everyone is in the loop without email overload. Project management software designed to help teams share files, collaborate on content, communicate faster, and get more done. Forecast is an efficient tool for managing your projects, budgets, and resources. Powered by AI data solutions, Forecast uses your project history to help better understand your current work.
Forecast improves your workflow by offering seamless collaboration- perfect for teams of 20+ people. Achieve predictability and transparency by connecting people, projects and profits. For companies that care about delivering projects on time, on scope, and on budget. AI-powered Project & Resource Management.
Connecting your people, projects and profits.
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