![]() Spark! Pro series - 15th March 2023 Spiceworks Originals.This in itself is expected, however, it appears that they are resending legiti. I'm new to Exchange management issues.My organization is getting hit with email spam campaigns that will go on for a day and then subside to appear again months down the line. Help with Spam email in our Exchange environment Collaboration.I started with a simple transportation request form. I am just building a quick IIS server on a spare desktop for a quick HTML/PHP forms Intranet. I decided to give ChatGPT a try on finding me some installation instructions. I used ChatGPT instead of Google to look up instructions.as long as that feature (the recorded conversations going to exchange) can't be turned off by the users. I suppose I could look at email archiving under 365 to capture those recorded conversations that are going to the user folders to store them some place where they can't touch them. The technet article is interesting, however it is only a 60 day lookback period and if I am reading this correctly is a separate subscription. The problem with the archive into a personal email account is that someone wanting to cover their tracks simply has to go in and delete the emailed archives, and HR/Legal are not going to be pleased about that possibility. which kinda defeats the DR part of going with 365 to begin with. I am not, however, seeing this unless we go with an onsite lync server and do archiving that way. I am being told by the new admin that we can record everything and there will be tracking and gumballs and lollypops. Poor network send quality time: Percentage of time the packet loss and jitter on receive stream is severe and introducing distortion.That's unfortunatly the conflict that I am seeing.High network delay time: Percentage of time the network latency is severe and preventing interactive communication. ![]() Device multiple endpoints event count: Multiple audio endpoints detected in the same session, system compensates by reducing render (speaker) volume.Near end to echo time: Percentage of time the user’s speech is too low compared to the echo being captured, limits ability to interrupt a user.Low SNR time: Percentage of time there was poor capture quality from user distortion from noise or user being too far from microphone.Look for glitches after adaptive render buffer. Glitch time: Percentage of time there was severe glitches in audio rendering, causing distortion can be caused by driver issues, deferred procedure call (DPC) storm (drivers), high CPU usage.Microphone clipping during near end-only portions. Clipping time: Percentage of time the user’s speech level is too high for the system to handle and is causing distortion.Microphone not functioning time: Percentage of time the Microphone currently used is not functioning correctly, causing one-way audio issues.Poor network receive quality time: Percentage of time the Concealed Packet Ratio on send stream is severe and introducing distortion.Low network bandwidth time: Percentage of time the available bandwidth is insufficient for acceptable voice/video experience.Device howling event count: Audio feedback loop detected (caused by multiple endpoints sharing audio path) Check for howling/screeching from other endpoints in the room.Low speech level time: Percentage of time the user’s speech is too low.Flag the event when device is in voice switch mode In half duplex mode, communication can travel in only one direction at a time, similar to the way users take turns when communicating with a walkie-talkie. Voice switch time: Percentage of the call that had to be conducted in half duplex mode in order to prevent echo.Microphone clipping due to far-end signal.Echo time: Percentage of time the device or setup is causing echo beyond the ability of the system to compensate:. ![]() Speaker not functioning time: Percentage of time the speaker currently used is not functioning correctly, causing one-way audio issues. ![]()
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