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@viktoriiagolovtseva shared a post, 3 days, 2 hours ago

Contract Review Template for the Legal Team: a Free Checklist

Whether you’re reviewing a routine non-disclosure agreement or a complex commercial contract, your team likely follows roughly the same steps. Although many legal professionals don’t require a predefined plan, in some cases, having a contract review template is very helpful. 

For example, if you have a large legal department, work in a legal firm with numerous clients, or need to scale best practices, in all these cases, process standardization is essential. A contract review template enables you to document all the crucial steps, ensuring that your processes are robust and repeatable.

In this guide, we’ll share a free contract review template for legal teams. We also explain how to use it in Jira or Monday and how to add it to your tasks automatically.

Zrzut ekranu 2026-05-01 103840
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@viktoriiagolovtseva shared a post, 3 days, 4 hours ago

Jira Automation Best Practices That Will Save You Time

Managing projects in Jira often involves many repetitive actions. Creating work items for recurring tasks, reassigning them for reviews, and syncing statuses with dev tools – these are just a few examples. With Jira automation, you can handle such routine actions more efficiently and reduce manual work. If you set up automation rules that work together as a whole, you will create a well-functioning system. This will help you streamline processes and optimize resources.

In this article, we explore hands-on Jira automation best practices that actually save time. You’ll learn how to set up effective rules, avoid common mistakes, and make automation work seamlessly for your team’s unique processes.

Zrzut ekranu 2026-05-01 090408
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Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commands—such as srun, squeue, scancel, and sinfo—gives users and administrators full visibility and control.

Slurm’s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.

Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the world’s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.