Operations | Monitoring | ITSM | DevOps | Cloud

SaaS tools enable companies of all sizes to get to market quickly, enhance their service delivery, and improve efficiency. By leveraging “ready-to-go” and “proven” platforms, SaaS companies can also avoid building systems from scratch, which is time-consuming and costly. Yet, 61% of companies have over 100 SaaS applications, which can be overwhelming to manage. Orphaned subscriptions are also common. Most companies regularly use only about half of their SaaS stack.

Nowadays, almost half of traditional small businesses (and nearly 2/3rds of small tech companies in particular) employ cloud infrastructure or hosting services, and for good reasons. As a reliable uptime monitoring service, we at Hyperping fully understand the importance of monitoring your assets to keep track of functionality and performance. Monitoring every aspect of your cloud infrastructure requires a lot of different tools. And the space is crowded!

Azure Service Bus is a cloud messaging service that transfers information between services running in both the cloud and on-premises. So, it becomes essential to ensure the performance and availability of Service Bus as it might be used in applications and integrations for transferring business-critical messages. To help you with that, we have listed and compared the top Azure Service Bus monitoring tools with their features.

FinOps is an evolving concept increasingly practiced in cloud computing organizations to manage and optimize their infrastructure cost. It requires team collaboration among Finance, Engineering and IT Operations to gain a deep understanding of the expenditure, take financial accountability, and make informed decisions to maximize the business performance.

Cloud tracing provides essential visibility into distributed systems, helping track requests, identify bottlenecks, and improve performance. Learn the best practices and tools for effective monitoring.

Imagine visiting an e-commerce site that instantly understands your preferences, offering tailored product recommendations from the first click. For our client, this vision was about creating a seamless, engaging experience for new users by providing immediate, personalized suggestions. Using Azure ML Studio, we turned this vision into reality by solving key challenges like the “cold start problem” and building a robust recommendation system. Here’s how we made it happen.

Distributed tracing is the functionality to trace requests or messages flowing through different systems or environments like frontend, Backend, middleware. Distributed tracing brings connectivity or visibility of various services using a unique identifier. This identifier is passed to different services to correlate them as a single flow. We track data from different services with distributed tracing, but how do we visualize them? Visualization is a tedious task.

The 2025 cloud computing landscape presents a diverse array of options beyond DigitalOcean's familiar waters. As businesses outgrow basic cloud solutions, they're discovering platforms that better match their evolving needs. From startups seeking cost-effective scaling to enterprises demanding robust security features, today's cloud providers offer specialized solutions for every use case.