Robocalling is no small problem. These nuisance calls are the major source of consumer complaints, with some estimates suggesting that more than 22 billion robocalls have been made in 2021 alone – and we’re only halfway through the year.
The CPU attack is one of the most common attack types run by Gremlin users. CPU attacks let you consume CPU capacity on a host, container, Kubernetes resource, or service. This might sound like a trivial exercise, but consuming even small amounts of CPU can reveal unexpected behaviors on our systems. These behaviors can manifest as poor performance, unresponsiveness, or instability.
Mattermost v5.39 is generally available today and includes multiple bug fixes for increased stability (see changelog for more details).
Welcome to the Cloud 66 Changelog. These are the changes that have gone out this month.
This post will highlight and explain the importance of a pluggable data plane. But in order to do so, we first need an analogy. It’s time to talk about a brick garden wall! Imagine you have been asked to repair a brick garden wall, because one brick has cracked through in the summer sun. You have the equipment you need, so the size of the job will depend to a great extent on how easily the brick can be removed from the wall without interfering with all the ones around it. Good luck.
Delivering great performance and reliability for your critical applications just keeps getting harder, doesn’t it? Between microservices, mercurial cloud resources, containers spinning up and down, distributed teams, specialized teams, and developers making changes, it’s an increasingly complex environment. With so many moving parts, if something goes wrong, how do you know what happened where, and what your environment looked like at the precise moment the problem began?
Inefficient project management can cost organizations hundreds of billions of dollars per year. And while there are many factors that can contribute to loss of project budget, one of the main ways is very early on – by funding the wrong initiatives. Projects with low benefits and high risks are not only costly, but they can thwart innovation and progress on organizational goals.
Let’s check out together the features and improvements related to Pandora FMS new release: Pandora FMS 757.
Sampling is the practice of extracting a subset of data from a dataset to make conclusions about that larger dataset. It’s far from a perfect solution, but when it’s implemented with Refinery, Honeycomb’s trace-aware sampling proxy, sampling can help you manage very high volumes of complex event data.
