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If you spend more than a few hours a month doing patching; if you stay up until the middle of the night one Saturday each month doing patching; if you just flip on automatic updates and hope for the best; or if you email your users instructions on how to update their machines – then you're doing it wrong. Patching shouldn't be something that takes multiple days, nor is it something that should ruin one weekend a month. But it is critical and needs to be done right. If you think you're spending way too much time on patching, and have actually considered skipping a month because things didn't sound "that bad," then here's a post just for you. In it, we'll look at seven tips to save you time (and money) taking care of patch management. 1. Have a plan: First of all, you have to have a plan. Management has to support it, and you need to make sure it covers all the systems on your network. You don't want to patch at random, or try to remember every system that you have. Create a plan that

You've got to ask yourself one question. How much hassle does patching cause you? Is the second Tuesday of each month something you dread, or is it just another day for you? If you spend days and days testing and deploying patches; if you stay up until the wee hours of the morning one weekend each month; if you have a current profile on every single server in your environment; then patching is likely to be a heavy burden. But there is another way. Patching is not something that should be a major pain each month. It should be a simple and straightforward administrative task. Admins who patch by hand or are worried about some patch crashing critical systems each month should consider automated patch management. This strategy will boost efficiency and give you back your weekends, and ensure that your systems can be patched quickly, efficiently and safely. Automated patch management helps IT admins patch their servers and workstations in the most efficient way possible, by removi

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or

Systems on your network log data 24/7/365. Simply allowing logs to take up disk space, reviewing them only after something has happened and deleting logs when you run low on disk space are all the strategies of an admin doomed to always being in firefighting mode, reacting to bad things when they happen. Proactive log management can help an admin get into a proactive mode You know that event log monitoring is important, since all your systems and key applications log data. But since no two systems log to the same place, or in the same format, it's almost impossible to get ahead of the logging and actually pay attention to what is being logged. That's where event log monitoring comes into play; here's why: Aggregate your logs in a central location:  With logs spread across dozens or even hundreds of systems, there's no way you can manage them where they are. Event log monitoring applications can gather up all your logs in a central location, making them easy to analyze, store, and m