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Monitor employee productivity and analyze user behavior

The current sudden and forced work-from-home (WFH) situation has caught many organizations unawares. In fact, many are unprepared or underprepared when it comes to arming themselves with the right tools for a remote work model, leading to an increase in network vulnerability as users access data remotely. Employee productivity has also become a major concern among employers. Taking all of this into account, ManageEngine has decided to make AD360 free for organizations around the world.

We Need APM Now More than Ever

This is an unprecedented time for each one of us. Every organization wishes to continue providing value to their customers despite the current situation. We’re all ready to go that extra mile to achieve whatever is possible in this digital age. Organizations around the world are fully committed in maintaining their business operations at optimum levels. There are certain tools or software that can assist you in this process.

Are third-party tools necessary to monitor your VMware infrastructure?

Monitoring every resource in your VMware environment is crucial to avoid sudden issues and ensure proper capacity planning. Although VMware offers its own monitoring suite, organizations frequently seek out third-party monitoring tools. The start of this trend dates back to the early days of vSphere, and it has only continued to increase. This is because third-party tools provide monitoring for the compute, storage, network, and analytics aspects of VMware environments, all from a single interface.

CompareCamp awards ManageEngine's endpoint protection software for its great user experience

Vulnerability Manager Plus is ManageEngine’s enterprise security program that empowers system administrators with an essential set of tools for managing and mitigating threats and vulnerabilities across systems in IT infrastructure. This security solution features specialized tools that help enterprises improve their overall security posture. Some of its unique tools include its integrated patch management module, security configuration management, and prioritization of vulnerabilities.

How Cortex uses the Prometheus Write-Ahead Log (WAL) to prevent data loss

Since the beginning of the Cortex project, there was a flaw with the ingester service responsible for storing the incoming series data in memory for a while before writing it to a long-term storage backend. If any ingester happened to crash, it would lose all the data that it was holding.

Why Rubyists Should Consider Learning Go

These days fewer and fewer web developers get to specialize in a single language like Ruby. We use different tools for different jobs. In this article, Ayooluwa Isaiah argues that Go is the perfect complement to Ruby. The developer who knows both is in a great position to handle almost any back-end challenge.

The Benefits of Running GroundWork Monitor in Containers

If you have been watching our announcements, you know we have recently released a major new version of GroundWork Monitor Enterprise, version 8. As I write this, that’s actually 8.0.1, which is a little more than the first release. The thing about version 8 though, is that it’s containerized. That’s right, all of the many processes that GroundWork uses to monitor, alert, log, and report on your infrastructure are all running in Docker containers.

Mattermost recipe: Using Google Lighthouse and ChatOps for website auditing and performance tracking

Every web developer wants to build a website that adheres to the almost mythical “best practices” so that it is light and performant. But how exactly are developers supposed to measure performance? And what is considered to be a best practice when it comes to developing for the web?

Leveraging Lambda Cache for Serverless Cost-Efficiency

Cost-efficiency is one of the main pillars of the Serverless Well-Architected framework. Read-intensive applications can save money and improve efficiency by using cache systems. AWS Lambda’s internal memory could be used as a caching mechanism. A Lambda container remains alive after an invocation is served, even if it stays idle for some time. Whatever was loaded in the container’s memory will remain there for the next invocations.