Operations | Monitoring | ITSM | DevOps | Cloud

As a software-based company, the most critical thing you can do is maintain control over your users' digital experiences and satisfaction levels. However, without a monitoring plan and technologies that allow you to see how customers interact with your application or website from their perspective is impossible. They provide you with the information you need to determine how well your webapp or website is operating and to avoid slow pages or screens that drive customers to your competitors.

MSPs and IT teams are trusted to maintain the security and compliance of sensitive data while also being on the hook for end-user experience. In and of itself, this is a tricky balancing act. When you add SaaS to the mix, compliance gets even more complex. SaaS compliance with regulations like GDPR, HIPAA, and CCPA is more complicated than traditional “castle and moat” style on-prem networks, where data resides squarely within an organization’s control.

Cascading Style Sheets (CSS) is the language used by developers to apply styles to documents written in a markup language. In front-end development, enforcing consistent CSS code quality is crucial: poorly written CSS can lead to issues ranging from poor maintainability, unexpected bugs, and inconsistent designs. One effective way to ensure CSS code quality is using a linter such as Stylelint.

AI costs haven’t been a major factor in cloud computing — until now. For example, AI demands massive data processing and storage, such as for training Large Language Models (LLMs) and generative AI. Additionally, AI workloads require parallel processing, which traditional instances struggle to handle — forcing companies to invest in specialized (and expensive) GPUs to get the job done.

Given the current climate in the federal government, it’s critical that public sector IT leaders find innovative solutions to do more with less. That’s a real challenge for these leaders who must balance with current alert backlogs against their agency limited IT budget and resources. Everyday, more than a thousand alerts to track down and as response times are slowing and some incident managers are burning out.

Load balancers play a key role in Amazon Web Services (AWS) systems by maintaining traffic distribution, detecting server issues, and redirecting client requests to available servers without any downtime. But, choosing the right AWS load balancer can be daunting, as it’s essential for optimizing your application performance and scalability. Depending on your use case, you may find that an Elastic Load Balancer (ELB) or Application Load Balancer (ALB) better suits your needs.

We’ve always known the proactive monitoring and advanced analytics provided by Martello’s Vantage DX can save organizations time and money while getting more from their investments in Microsoft Teams. We recently set out to prove that by building a research-based cost model with the help of our friends, the expert consultants at Enable UC. The results of that study were even more compelling than we expected.

If you're new to DevOps, you’ve likely noticed that website logging plays a bigger role than it seems at first. It’s not just a routine task—it’s how you keep systems stable, troubleshoot issues, and understand what’s happening under the hood. A good logging setup captures what went wrong, when, and why—helping you fix problems faster instead of guessing.

If you’ve ever found yourself sifting through logs, metrics, and traces without a clear answer to why your app crashed at 2 AM, you’re not alone. Troubleshooting without the right tools can feel like chasing shadows. That’s where the right OpenTelemetry backend makes all the difference—bringing everything together and turning scattered data into a clear picture.

Ever found yourself buried in endless log files, trying to piece together what went wrong? For DevOps engineers, log analysis isn’t just about debugging—it’s a crucial skill for maintaining reliable systems and catching issues before they escalate. In this guide, we’ll cover everything you need to know about log file analysis, from the fundamentals to the best tools available today.