Workload management is the process of trying to get away with as much as possible.
You’ve probably encountered workload management tools before. They’re usually used by managers to try to extract more work from their subordinates. For example, a manager might tell you to use a tool to say how long it will take you to finish a project, and then use this information to decide how much other work she can pile onto your plate before she starts to risk missing the deadline.
Workload management tools are also used by employers to try to extract more work from their employees. For example, an employer might ask you for a quote on how long it will take you to finish a project and then refuse to pay you for that time if it takes longer.
Workload management tools are also used by employees to extract more compensation from their employers. For example, an employee might tell her boss that it will take her a week of work to implement a feature when in fact it only takes her two hours because she wants the extra time off work.
The problem with workload management tools is that they don’t actually increase productivity: they just make people feel more productive by giving them the illusion of control over their time and giving them something concrete.
What are workload management tools?
Workload management tools are a category of software that helps manage the distribution of computer workloads across multiple computing resources, including central processing units (CPUs), graphics processing units (GPUs), computer clusters, and public and private clouds.
Workloads are distributed in a way that balances system resources and improves performance. They also monitor current and past workloads to assess when more computing resources may be needed to meet future demand.
The workload management tool that is right for you depends on your needs and the types of jobs you run. Generally, you’ll want to choose a tool that is:
• Easy to use
• Flexible enough to adapt to changing requirements
• Scalable — it must be able to grow with your organization’s needs.
If you’re just starting out, it’s worth looking into RisePath PlanCentral.
Why do you need WLM tools?
In the past, most enterprises had fewer applications running on fewer servers. This led to simple workload management techniques where IT administrators would assign specific applications to specific servers, leaving other servers unassigned in case there was a future need for them.
Nowadays, however, enterprises have more workloads running on more servers than ever before. These workloads come from many different sources — users in different departments will run many different applications across many different servers at the same time. As a result, it’s no longer possible for an IT administrator to hand-assign every application to a server — there simply isn’t enough time for the IT team to manually monitor all these workloads and prevent any bottlenecks or slowdowns from occurring. That’s where WLM tools come in.
What does it do?
A workload management tool is responsible for allocating jobs to multiple machines in a cluster, scheduling them appropriately so as to ensure optimal use of resources, and responding to failures by restarting jobs or rescheduling them on other machines. In this way, it ensures efficient use of available resources while guaranteeing that jobs are completed within defined time limits and meeting other service-level agreements (SLAs).
How does it work?
The behavior of each workload management tool depends on its configuration. Each job can be configured with specific requirements, including resource requirements (e.g., number of CPUs per task), execution time limits, QoS level, etc. In addition, system-wide policies determine how the workload manager will allocate resources among the many jobs running on the system.
Why is workload management so important?
Every organization has a finite amount of resources at its disposal, including server space, computing power and human capital. Without proper workload management tools in place, it’s easy for the IT department to waste these valuable resources. By implementing a workload management system that ensures each task is completed in the most efficient manner possible, your company can save time and money.
Workload management solutions are typically used by organizations to ensure that bottlenecks don’t form during the software development process, as this can inhibit application delivery and deployment. It also helps your business to ensure that all employees are working as effectively as possible. This is important because it prevents the IT department from wasting time on tasks that could have been handled by other employees.
Running queries concurrently in RisePath PlanCentral has become an increasingly important need for our customers. This is not surprising considering the growth in data sizes being stored in HDFS as well as the increased usage of Hadoop from different business units within organizations. Many of our customers have asked us how best to configure RisePath PlanCentral to support this new reality.
- To support concurrent query execution, RisePath PlanCentral provides a few key features:
- The ability to define queues and assign priorities such that queries from particular users, or groups of users, can be given dedicated resources
- The ability to limit the number of concurrent queries running on each queue so you don’t overload the cluster
- The ability to limit the number of slots used by each query on a per queue basis
What are the benefits of using a workload management tool?
Workload management tools help organizations create multi-cloud strategies that are efficient and cost-effective. Additionally, these tools help standardize applications across multiple environments, which reduces maintenance costs. In addition, some workload management tools allow you to back up data to multiple clouds simultaneously. This prevents data loss and enables you to quickly restore it if there is an outage in one cloud environment.
For further information, visit RisePath PlanCentral.