It’s a fast-paced digital landscape out there. So, building a reliable platform for your customers is crucial. They need assurance that your platform won’t be plagued by bugs, downtime, or outages, ensuring business continuity. This isn’t the stuff of traditional manual testing and quality assurance. Instead, you’ll want to empower your developers and QA teams with solid cloud testing tools.

Financial reporting tools help businesses of all sizes manage budgets, track performance, and make informed decisions. By automating repetitive tasks, they save time, reduce errors and improve accuracy. The demand for these tools is skyrocketing. In 2024, the market was valued at $14.94 billion and is expected to reach $37.56 billion by 2031. The rise of cloud-based solutions and the need for real-time financial insights are major drivers behind this growth.

Data engineering. Data science. Machine learning. Data governance. These are just a few of the many capabilities that make Databricks a favorite among developers and data engineers. Yet, most have one common complaint — its cost. Some say it’s too expensive, especially for small and medium-sized organizations. Others find it hard to justify using the platform due to budget limits. In addition, maintaining and running data warehouses can be costly.

If you are reading this, you likely understand how Machine Learning (ML) and Artificial Intelligence (AI) can improve your organization, from operational efficiency to boosting your bottom line. Yet, setting up and running a robust AI infrastructure, including a massive dataset for training and specialized tools, can be expensive. Amazon Bedrock wants to simplify this challenge, enabling you to build generative AI applications faster and easier. But is Amazon Bedrock pricing worth it?

FinOps is one of the latest buzzwords in cloud computing. It’s a merger of two critical departments — finance and operations — and describes “cloud financial operations” (cloud financial management or cost management).

As we step into 2025, we’re thrilled to reflect on the strides we’ve made in December and all throughout the last year to empower the FinOps and cloud cost management practices of our customers. These updates mark another milestone in our journey to continuously improve your experience, providing the insights and control you need to manage cloud costs efficiently.

It might not be anywhere near springtime yet, but it’s still the perfect time to plant seeds for your brand new (or redesigned, or fine-tuned …) cost management strategy for 2025. To make sure your foundation is solid as you move forward, take advantage of these helpful resources for building and refining your FinOps practice: Think of brushing up on all this knowledge as the business version of hitting the gym for the new year.

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.

DevOps. DevSecOps. AIOps. NoOps. RevOps. FinOps. It’s hard to keep up sometimes. No worries, though. CloudZero sits at the intersection of finance and operations — and we recently joined the FinOps Foundation, which brings together FinOps practitioners to collaborate, learn, and network. In this guide, we’ll discuss FinOps and why it matters to you as a SaaS company that relies on cloud services and OpEx financials.

Cloud computing empowers organizations to access IT resources on demand, over the Internet, and on a pay-per-use basis. Thus, your company does not need to purchase, install, operate, and upgrade hardware for physical data centers. Instead, you can rent resources as needed from cloud service providers such as Amazon Web Services (AWS). For instance, AWS provides compute, storage, database, networking, machine learning, data lake and analytics, security, and IoT resources/services.