Operations | Monitoring | ITSM | DevOps | Cloud

When you’re in the networking technology field, you’re going to find that there are many different types of “monitors” (like router monitoring) that you need to stay on top of, from throughput to application performance and device health. And as you become more knowledgeable, you’re going to start to understand these diverse types of traffic and equipment. It’ll become more important to you to be able to understand concepts like where traffic is flowing.

You finish writing your code and launch your application. Then, you begin experiencing performance issues. How can you fix this? It doesn’t matter how talented your development team is, every code should always be analyzed, debugged, and reviewed to make it run faster. What you need is a performance profiling tool. In this article, you will learn about performance profiling and how to determine the best performance profiling tools for your software.

It’s never too late to learn. As any reinforcement learning agent, we get rewarded by the new knowledge that we acquire. Likewise, we learn by doing, by rolling up our sleeves and getting to work. (Do you want a hands-on book on Reinforcement Learning? Here is my personal favourite) March has shown us great examples of this. From robots learning to encourage social participation to detect serious environmental problems, it was a learning month.

Yes, there is the ability to silence or disable alerts in Graylog. There are times in IT environments where you know you are going to generate specific events in your network. As an example, you are patching servers, upgrading hardware components, and many other things. These types of activities are very common during maintenance windows.

Stackery can be used to create a new CloudFormation template or to quickly visualize an existing one. Code is automatically generated as you simply drag-and-drop resources on a graphical grid. The experience is much more intuitive than previous generation tools like AWS CloudFormation Designer. Stackery visualizes resources the way a human would perceive them, grouping related resources together.

As with all start-ups, especially for a cloud provider, access to funds is imperative to build and scale quickly – after all building out new data centre regions doesn't come cheap! So in recent months we quietly opened a seed round to acquire $2.8m worth of funding – giving Civo a pre-money valuation of $16,800,000. Since launching into beta nearly 2 years ago, we’ve had tons of VC companies knocking on our door, but at this stage we decided not to take VC money.

Not all the waves we make are extreme. This is our fancy way of saying that we’ve been making a lot of small, behind the scenes updates lately targeting improvements to reporting and performance. For a full rundown, check out our release updates.