ChatGPT is so hot right now, it broke the internet. As an avid user of ChatGPT and a developer of ChatGPT applications, I am incredibly excited by the possibilities of this technology. What I see happening is that there will be exponential growth of ChatGPT-based solutions, and people are going to need to monitor those solutions.
Microsoft Azure is a leading cloud computing platform offering a wide range of services to cater to the needs of businesses across various domains. One of the popular services is Azure Storage, which allows organizations to store, access, and manage their data in a secure and scalable manner. When it comes to deploying virtual machines (VMs) in Azure, organizations need to make a critical decision between Managed and Unmanaged Disks.
A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another. The components interact in a decentralized manner and work together to achieve a common goal. Working with distributed systems is challenging, because failure often spreads between components and debugging across multiple components is difficult and time-consuming.
As a developer, I’m always thinking about ways I can make my work on projects better, faster, and more organized. Over the years, I’ve learned that tracking development metrics is a really helpful way to do that.
Our latest release, eG Enterprise v7.2 has added a number of enhancements to our leading logon simulators. A large number of our Citrix customers rely on this popular tool to actively test and benchmark the speed and success of logons repeatedly even when no real users are accessing systems.
This release brings 60 enhancements, way up from the 37 enhancements in Kubernetes 1.26 and the 40 in Kubernetes 1.25. Of those 60 enhancements, 12 are graduating to Stable, 29 are existing features that keep improving, 18 are completely new, and one is a deprecated feature. Watch out for all the deprecations and removals in this version! The main highlight of this release is actually outside Kubernetes.
‘THE MORE THE MERRIER!’ they say. A quick Google search of this popular phrase states that the more people or things there are, the better or more enjoyable a situation will be.
eBPF is a powerful technical framework to see every interaction between an application and the Linux kernel it relies on. eBPF allows us to get granular visibility into network activity, resource utilization, file access, and much more. It has become a primary method for observability of our applications on premises and in the cloud. In this post, we’ll explore in-depth how eBPF works, its use cases, and how we can use it today specifically for container monitoring.
When your incident response process is centered around a service catalog, responders are able to more quickly pinpoint the service or functionality that’s down, bring in the team or experts, and then get to solving the problem faster. Saving even a few minutes can have a big impact on decreasing the costs around incidents and outages, so having up-to-date service details at your fingertips can make all the difference.
