Enterprises face a constant challenge: how to deliver technical solutions quickly without compromising on quality. In the race to innovate and stay ahead of the competition, the pressure to accelerate delivery can sometimes overshadow the importance of maintaining high standards of quality and reliability. However, striking the right balance between speed and quality is crucial for the long-term success and sustainability of enterprise platforms.

Troubleshooting within Kubernetes environments can be a daunting task. If we could only have a magical artificial intelligence advisor that could gather all the data about what goes on the system, and tell me what’s wrong, and even how to solve it. Wouldn’t it be nice? K8sGPT is a young open source project that uses generative AI to give Kubernetes superpowers to everyone. It recently turned a year old, and is now part of the Cloud Native Computing Foundation (CNCF).

Digital transformation is happening at a rapid pace. Customers demand always-on, always-mobile, instantly available experiences, while businesses look to modernize for increased productivity, responsiveness, and profitability. Amid this constant change and increasing pressure to achieve more with limited resources, IT teams struggle to keep pace, weighed down by legacy tools and operational processes that no longer scale.

Editor’s Note: This is the second installment of a series of blog posts previewing our State of Observability 2024 survey report. In the first episode of this blog series, we looked at where IT organizations are in their observability journeys and found, rather surprisingly, that most enterprise IT organizations and MSPs were just getting started in observability. Yet 96% of respondents told us their observability solution was delivering the value they expected.

You’re at the checkout in a supermarket, and suddenly, the payment system stops working. Frustrating, right? Unfortunately, this is an all-too-common scenario that explains why some people think twice before shopping in person. It isn't just a problem for shoppers—it's a major headache for businesses that operate across multiple locations.

LogicMonitor stands at the forefront of innovation in IT infrastructure monitoring, and our newest solutions help our customers optimize performance, manage costs, and gain deeper visibility into their network operations. Our vision is to empower businesses with the observability needed to navigate modern IT complexities with AI-powered solutions that drive efficiency.

Software quality isn't just about defect density; it embodies the reliability, performance, and security that underpin digital trust and user satisfaction. But measuring software quality can be as challenging as defining it. In this post, we'll demystify the complexities around assessing software quality and provide actionable insights for you and your software development team.

In part 1 of this series, we took a look at what CloudTrail logs are, the value addition that CloudTrail logs serve and some of the problems involved in processing and storing these logs. In part two of this series, we will look at how Observo helps organizations process CloudTrail logs at scale and derive value from them. As a quick recap, let’s take a look at what a CloudTrail event looks like.