Operations | Monitoring | ITSM | DevOps | Cloud

June 2025 saw several high-impact outages across popular cloud services — from infrastructure giants like Google Cloud to developer platforms like Supabase and Heroku. For IT teams, MSPs, and developers, even short service disruptions can have ripple effects across workflows and customer experience. At StatusGator, we continuously monitor thousands of services to detect issues in real time — often before they’re publicly acknowledged.

We’re excited to share that our latest industry analysis has been featured in Packet Pushers, one of the most trusted voices in networking and infrastructure.

Modern cloud solutions mean much more than just data storage. Cloud technologies cover virtual services, including analytics, databases, networking, servers, and storage via the internet. Such a giant as Microsoft is among the most prominent cloud providers with its Azure platform. “Platform as a Service,” or PaaS, is a popular solution for database specialists. It is a powerful database engine that allows you to perform most database management routines.

You spun up Azure SQL for your app backend, added Cosmos DB for global performance, and let your devs explore PostgreSQL freely. Everything worked — until the invoice hit. Your engineers need high availability and performance. Your CFO wants predictability. And you’re stuck trying to untangle what, exactly, is driving your Azure bill. You’re not alone. Between service types, pricing tiers, and throughput models, Azure database pricing can surprise even experienced teams.

Deploying a large-scale Drupal application involves numerous decisions, and one of the most significant is where to host it. Should you keep everything on-premises, use a managed hosting provider, or opt for a modern PaaS like Upsun? Each approach has trade-offs. In this article, we’ll dive into the real-world technical pitfalls of on-premises and managed hosting, and then explore how Upsun addresses those challenges in an enterprise Drupal context.

Network Address Translation (NAT) is foundational in today’s enterprise and cloud networks, yet NAT documentation often remains an afterthought, managed in spreadsheets or skipped entirely. This creates unnecessary complexity, security blind spots, and wasted IP resources. At LightMesh, we believe IP address management (IPAM) should include intuitive tools to track NAT configurations just as easily as subnets and IP assignments.

Many companies are rapidly adopting cloud-native computing services, like containers, microservices, and serverless computing. Unlike monolithic applications, these technologies rely on distributed architectures. Whether you are running them in the cloud, on-premises, or both, distributed systems consist of thousands or millions of processes and components. The challenge now is to make these complex systems’ inner workings visible, controllable, and improvable.

Valencia CF has reached an agreement with Internxt, where the Valencian technology company, specialized in cloud storage services, becomes the Club's Official Cloud Provider and Sponsor. With this move, the startup strengthens its presence and commitment to its homeland, Valencia. Founded in 1919, Valencia CF has won six La Liga titles, eight Copa del Rey titles, three UEFA Cups, two UEFA Super Cups, among others, thus becoming one of the most relevant elite football clubs in the world.

Today’s public sector organizations are tasked with delivering a staggering amount of technology capabilities to support a growing set of digital services, meet IT modernization goals, and continue to protect against a wide range of attack vectors. Cloud technology adoption has played a significant role in ensuring that ongoing IT modernization not only aligns with each organization’s mission-strategic capabilities but also enables efficiencies of scale.

In this blog series we’re examining the Five Myths of Kubernetes Resource Optimization. The fifth and final myth in this series relates to another common assumption of many Kubernetes users: Dynamic Allocation for Apache Spark applications automatically prevents Spark from overprovisioning resources while improving workload utilization levels.