Oracle Capacity Planning And Sizing Spreadsheets Crack
Mar 25, 2013 - 'Other DB2 strengths are index management (automatic index. I am an oracle resource and have 6 years exp in Oracle including data. Do you store text files of them and VI them? Enough in size in order for SQL-Server to claim the #1 RDBMS spot. Why do we need to patch Oracle for DST? Tom, how can I calculate the current consumed size of the keep buffer pool? But in case you are doing capacity planning,as I am now, allocated space is not. A) dba_extents has file numbers in there, yes, you can query that to see what extents of a segment are in what files. Can i somehow crack this in one query. May 1, 2017 - TCS Interview Questions Crack TCS Interview. Business process outsourcing, capacity planning, consulting, enterprise software, hardware sizing. Describe 2 different ways to concatenate two strings; Give syntax for SQL and ORACLE joins. In header files whether functions are declared or defined?
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Everyone involved can track tasks, communicate effortlessly and participate on their terms. Connect your workforce, eliminate silos and bring new levels of visibility and progress.
Fast and easy to use, Clarizen is redefining collaborating on projects across the enterprise. Projectplace is an online project management and collaborative work management solution that makes it easy for teams to manage and track the progress of their work. Whether your team is down the hall or across the globe, Projectplace provides everything you need to plan projects, manage tasks, visually track progress and achieve goals. Capabilities include integrated Kanban boards and Gantt charts, collaborative document management, task and workload management, communication tools and more.
Projectplace is an integrated project management and collaborative work management solution that helps teams get work done. Jira is the project management tool for teams planning and building great products. Thousands of teams choose Jira to capture and organize issues, assign work, and follow team activity. At your desk or on the go with the new mobile interface, Jira helps your team get the job done. Seamlessly connect Jira Software with Confluence to add extra context to your projects, create and track issues and product requirements, publish release reports, track release progress, and more. Trusted by millions, Jira is the leading project management tool, enabling teams to track, manage, & report with confidence.
Paymo is a modern and intuitive project management application for project-based businesses and freelancers that bundles advanced task management, planning, scheduling, time tracking, collaboration and invoicing. This means that you can keep track of the entire lifetime of a project - from creation until getting paid - without having to use and pay for several apps. Paymo is a full-featured online solution dedicated to project-based businesses and freelancers to manage projects from start to finish. Targetprocess is a software tool to visualize and manage Agile projects according to Scrum, Kanban or a custom approach.
Flexibly adapts to your management approach and organization structure. Through enhanced visualization functionality, Targetprocess gives the visibility and transparency you need across teams, projects, and the entire organization. Recognized in Gartner's Magic Quadrant for Agile Enterprise Planning Tools. Modern & slick user interface. Amazing customer support. From Kanban and Scrum to almost any process, Targetprocess flexibly adapts to your management approach and organization structure.
EXCLUSIVELY for the Mac, iPhone & iPad. Daylite is a small business CRM & productivity manager.
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The fast, simple way to schedule people & other resources online! Get team visibility on one clever calendar. Drag & drop bookings in seconds. Manage vacation & other types of time off. An availability bar helps with capacity planning.
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Web-based resource scheduling app with leave management, personal dashboards, clash management, team visibility and collaboration. 10,000ft has reshaped how dynamic organizations manage their projects + teams by surfacing critical data in real time and making resource management simple. Even as work ebbs and flows, team members stay up-to-date without being weighed down by unnecessary levels of granularity. Over 1,200 companies rely on 10,000ft's simple, powerful software to make confident operational decisions. 10,000ft has been recognized for its design excellence with awards from FastCo, SXSW, IxDA and IDSA.
Simple, powerful software to make confident operational decisions across your teams and project portfolio. Teamwork Projects combines high-performance features that build smarter workflows and close communication gaps so you can focus on getting things done. Features include task management, time tracking, milestones, Gantt charts, instant high-level reports and more. Teamwork for Enterprise provides a best in class collaboration platform to enable peak efficiency and high performing teams with additional support and security layers. The Project Management App for Professionals. The most powerful and simple way to collaborate with your team. ADEACA Project Business Automation is the next generation enterprise level business system for large project-driven companies (250+ users), unifying all project functions in one complete solution.
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Confluence is an open and shared workspace that connects people to the information they need to manage projects and move work forward. Zoho Sprints is a free online agile project management tool built for Scrum teams to plan, track and iterate their work in Sprints. Be ready to embrace the changing customer requirements and ship the right products on time. Add user stories to your backlog, estimate and prioritize work items, stay on track with personalized Scrum boards and swimlanes, get actionable insights from velocity, burn up and burn down charts, cumulative flow diagrams and more. Zoho Sprints is a free online agile project management tool built for Scrum teams to plan, track and iterate their work in Sprints. Intervals is online project management software that marries time tracking & task management in a collaborative space with powerful reporting that is uniquely designed for the needs of small business. Ideal for designers, web developers, consultants, creative agencies, IT services firms, and communications companies.
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Storage Capacity Planning Spreadsheet
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.
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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.
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31.1 About Capacity Planning for Oracle Fusion Middleware While performance tuning can be defined as optimizing your existing system for better performance, capacity planning determines what your system needs (and when it needs it) to maintain performance in both steady-state and peak usage periods. Capacity Planning involves designing your solution and testing the configuration, as well as identifying business expectations, periodic fluctuations in demand, and application constraints.
You need to plan carefully, test methodically, and incorporate design principles that focus on performance. Before deploying any application into a production environment, the application should be put through a rigorous performance testing cycle. Creating an effective Capacity Management plan includes some of the same steps as performance planning:. Step 1:.
Step 2:. Step 3:. Step 4. Table 31-1 Capacity Planning Factors to Consider Capacity Planning Questions For more information see, What are your performance goals and objectives? How many users need to run simultaneously (concurrently?) Is the simulated workload adequate? (Is the workload likely to increase?) Is the Oracle Fusion Middleware deployment configured to support clustering and other high availability factors? Does the hardware meet the configuration requirements?
Do you have adequate JVMs to support your users? Is the database a limiting factor? 31.2 Determining Performance Goals and Objectives The first step in creating an effective capacity management plan is to determine your network load and performance objectives. You need to understand the applications deployed and the environmental constraints placed on the system.
Ideally you have information about the levels of activity that components of the application are expected to meet, such as:. The anticipated number of users.
The number of concurrent sessions. The number of SSL connections required. The number and size of requests. The amount of data and its consistency. Determining your target CPU utilization. Performance objectives are limited by constraints, such as. The configuration of hardware and software such as CPU type, disk size versus disk speed, sufficient memory.
The ability to interoperate between domains, use legacy systems, support legacy data. The security requirements and use of SSL.
SSL involves intensive computing operations and supporting the cryptography operations in the SSL protocol can impact the performance of the WebLogic Server. Development, implementation, and maintenance costs. You can use this information to set realistic performance objectives for your application environment, such as response times, throughput, and load on specific hardware. 31.4 Identifying Bottlenecks in Your System Bottlenecks, or areas of marked performance degradation, should be addressed while developing your capacity management plan. If possible, profile your applications to pinpoint bottlenecks and improve application performance.
Oracle provides the following profilers:. Oracle Jrockit Mission Control provides profiling capabilities for processes using Jrockit JVM. Oracle Application Diagnostics provides profiling capabilities for java processing using SUN JDK. The objective of identifying bottlenecks is to meet your performance goals, not eliminate all bottlenecks. Resources within a system are finite.
By definition, at least one resource (CPU, memory, or I/O) can be a bottleneck in the system. Planning for anticipated peak usage, for example, may help minimize the impact of bottlenecks on your performance objectives. There are several ways to address system bottlenecks. Some common solutions include:. 31.4.4 Increasing Memory or CPU Aggregating more memory and/or CPU on a single hardware resource allows localized communication between the instances sharing the same hardware. More physical memory and processing power on a single machine enables the JVMs to scale and run much larger and more powerful instances, especially 64-bit JVMs. Large JVMs tend to use the memory more efficiently, and Garbage Collections tend to occur less frequently.
In some cases, adding more CPU means that the machine can have more instruction and data cache available to the processing units, which means even higher processing efficiency. See for more information. 31.4.6 Segregation of Processes and Hardware Interrupt Handlers When planning for the capacity that a specific hardware resource can handle, it is important to understand that the operating system may not be able to efficiently schedule the JVM processes as well as other system processes and hardware interrupt handlers.
The JVM may experience performance impacts if it shares even a few of its CPU cores with the hardware interrupt handlers. For example, disk and network-intensive applications may induce performance impacts that are disproportionate to the load experienced by the CPU. In addition, hardware interrupts can prevent the active Java threads from reaching a 'GC-safe point' efficiently. Separating frequent hardware interrupt handlers from the CPUs running the JVM process can reduce the wait for Garbage Collections to start. It may also be beneficial to dedicate sibling CPUs on a multi-core machine to a single JVM to increase the efficiency of its CPU cache. If multiple processes have to share the CPU, the data and instruction cache can be contaminated with the data and instructions from both processes, thus reducing the amount of the cache used effectively.
Assigning the processes to specific CPU cores, however, can make it impossible to use other CPU cores during peak load bursts. The capacity management plan should include a determination on whether the CPUs should be used more efficiently for the nominal load, or should there be some extra capacity for a burst of activity. 31.5 Implementing a Capacity Management Plan Once you have defined your performance objectives, measured your workload, and identified any bottlenecks, you must create and implement a capacity management plan. The goal of your plan should be to meet or exceed your performance objectives (especially during peak usage periods) and to allow for future workload increases.
To achieve your performance objectives, you must implement your management plan and then continuously monitor the performance metrics as discussed in. Since no two deployments are identical, its virtually impossible to illustrate how a capacity management plan would be implemented for all configurations. Capacity planning is an iterative process and your plan must be calibrated as changes in your workload or environment change. The following section provides key factors that should be addressed in the plan.
Manufacturing Capacity Planning Spreadsheet
31.5.1 Hardware Configuration Requirements There is no single formula for determining your hardware requirements. The process of determining what type of hardware and software configuration involves assessment of your system performance goals and an understanding of your application. Capacity planning for server hardware should focus on maximum performance requirements.
The hardware requirements you have today are likely to change. Your plan should allow for workload increases, environment changes (such as added servers or 3rd party services), software upgrades (operating systems, middleware or other applications), network connectivity and network protocols. 31.5.1.1 CPU Requirements Your target CPU usage should not be 100%, you should determine a target CPU utilization based on your application needs, including CPU cycles for peak usage. If your CPU utilization is optimized at 100% during normal load hours, you have no capacity to handle a peak load. In applications that are latency sensitive and maintaining the ability for a fast response time is important, high CPU usage (approaching 100% utilization) can reduce response times while throughput stays constant or even increases because of work queuing up in the server. For such applications, a 70% - 80% CPU utilization recommended.
A good target for non-latency sensitive applications is about 90%. 31.5.1.2 Memory Requirements Memory requirements are determined by the optimal heap size for the applications you are going to use, for each JVM co-located on the same hardware. Each JVM needs up to 500MB in addition to the optimal heap size; the actual impact to performance depends on the JVM brand, and on the type of application being run. For example, applications with more Java classes loaded need more space for compiled classes. 32-bit JVMs normally cannot exceed a limit of approximately 3GB on some architecture when a limit is imposed by the hardware architecture and the Operating System.
It is recommended to reserve some memory for the Operating System, IO buffers and shared-memory devices. 31.5.4 Database Configuration To maintain sustained performance, you must ensure that your existing database can scale with the increases in capacity planned for the application server tier. Tuning the database parameters and monitoring database metrics during peak usage, can help you determine if the existing database resources can scale to handle increased loads. You may need to add additional memory or upgrade the database hardware configuration. For more information on tuning an Oracle database, see the.
In some cases, however, you may find that the database is still not able to effectively manage increases in load, even after increasing the memory or upgrading the CPU. In these situations, consider deploying an Oracle Real Application Cluster (Oracle RAC) environment to handle the increases. Oracle RAC configurations not only provide enhanced performance, but they can also improve reliability and scalability.
For more information on Oracle RAC, see. Scripting on this page enhances content navigation, but does not change the content in any way.