Operations | Monitoring | ITSM | DevOps | Cloud

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.

During the next six weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!

If not tackled early, increasing toil can affect the morale and productivity of your SRE team. In this blog we look at some of the ways you can counter toil with the help of better alerting systems in place. Are you an SRE or On-call engineer struggling to manage toil? Toil is any repetitive or monotonous activity that can lead to frustration within an incident management team. Also at the business level, toil doesn't add any functional value towards growth and productivity.

Logz.io has pressed hard to align our tracing and metrics analytics capabilities over the past year. And as our technology advances, so does our service. We are announcing Multiple Tracing Accounts with Logz.io Distributed Tracing, aligning it with our logging and metrics tools. Complementing multiple data sources for metrics and logs, Logz users can segment their data according to sources and teams for better organization.

For the first time, a software load balancer exceeds 2-million RPS on a single Arm instance. A few weeks ago, while I was working on an HAProxy issue related to thread locking contention, I found myself running some tests on a server with an 8-core, 16-thread Intel Xeon W2145 processor that we have in our lab. Although my intention wasn’t to benchmark the proxy, I observed HAProxy reach 1.03 million HTTP requests per second.