Despite advances in technology, many businesses still struggle to effectively manage data in a cost-effective, secure, and manageable way. Cloud storage is becoming the go-to method for companies to store data, with 94% of major companies worldwide utilizing cloud computing. Corporate data also makes up 60% of data stored in the cloud. So as demands continue to grow, and compliance and data protection laws become more stringent, how can businesses effectively manage their cloud needs?

Organizational change is inevitable. Companies must adapt to survive and thrive, and Change Management plays a crucial role in this adaptation process. There are two primary approaches to managing change: Proactive Change Management and Reactive Change Management. While both aim to help organizations navigate transitions, they differ significantly in their strategies, implementations, and outcomes.

IT asset recovery may seem like a final, simple step in managing IT equipment, but it’s actually a very important step for a robust Asset Management strategy. Often overlooked in favor of high-profile IT asset lifecycle stages like procurement and deployment, asset recovery plays a pivotal role in balancing costs, sustainability, and risk management.

Demystify your private cloud options with our comparison of AWS, Azure, Google Cloud, and Oracle Cloud. On a typical day at Megaport, our Solutions team helps a lot of customers with a lot of questions. And in my time here, I’ve noticed these questions often follow the same theme: What’s the best way to connect to their cloud service providers? The reality is that there’s no simple answer to this question.

Almost every business needs AI, but it’s not needed everywhere. Yes, you read it right. AI, though it transforms entire business models, comes with a price tag. A 2022 survey by McKinsey found that only 27% of companies using AI have successfully scaled their initiatives across the organization. This highlights a key challenge—adopting AI without a clear strategy can lead to wasted resources and minimal return on investment.

Next.js is one of the most popular open source web frameworks for hosting web applications; however, performance monitoring of such applications, until now, has been a mystery. Whether you’re hosting Next.js apps yourself or via third party services like Vercel, it’s always helpful to know how the application is performing to make it more efficient and deliver a pleasant user experience.

One of the most important steps in log management is parsing of the log files, which turns unstructured data into understandable information. Logs are broken down by pre-established parsing rules, making monitoring and operating system performance easier and facilitating real-time problem-solving of the event logs. A Data Breach Investigations Report emphasizes the critical role of human error in cybersecurity, noting that it is a factor in 74% of all breaches.

Log Analysis has been a beneficial practice for organizations for numerous years, and over these years it has continuously evolved. This has been in part driven by the increasing volume of logs that companies are required to monitor. Now, log analysis is shifting again, incorporating machine learning (ML) and artificial intelligence (AI) to assist data analysts in identifying system log patterns and anomalies.

Learn to monitor host metrics with OpenTelemetry. Discover setup tips, common pitfalls, and best practices for effective observability.