ClearScale Blog

In our increasingly digital world, software is essential to businesses and organizations. Software enables us to communicate directly with customers, design new applications, manage logistics, and more. Put simply, software is completely transforming how we operate. However, traditional approaches to software development and infrastructure management no longer suffice in our fast-paced world. Enterprises need agile, flexible, and scalable IT, alongside streamlined deployment practices, to innovate and iterate rapidly. In other words, they need DevOps. DevOps refers to a collection of

Legacy databases pale in comparison to cloud databases. For example, legacy databases often come with rigid contracts, punitive licensing, and monolithic architecture. They also tend to be more costly due to inflexible pricing and annual maintenance expenses. Leaders who hold fast to their legacy databases will continue to fall behind and miss out on all the cloud has to offer (to learn more about this topic, check out our Guide to Migrating Legacy Databases to AWS. However, it can be

In the IT world — including the app development sector — some trends are just that: trends. That’s not the case with microservices architecture, and for good reason. Microservices are changing the way apps are built and generating significant benefits for end users, as well as developers. To understand why, first think about how enterprise apps have traditionally been built. The Monolith Approach Software developers have typically created large, monolithic apps. A single monolith contains all the code for all the

Today, many organizations are migrating on-premises data infrastructure to the cloud to reduce warehousing costs and increase scalability. One institution began its cloud migration when its custom-built Oracle database couldn’t support their advanced research initiatives. Now, the organization has a cloud-based data infrastructure that can scale and adapt as needed over the long term. The Challenge The organization originally hired a third-party software development firm to design and host its on-premises data warehouse using Oracle RDBMS to support research

Change is good — except when it's not. Even then, it might not be bad if you know how to handle it. That's the case for some of what we've seen in the app development world for the last several months. A number of changes emanating from leading companies and open-source consortiums are enabling new and enhanced capabilities for development teams, the apps they create, and their end-users. Some of the significant changes we want to call attention to include: C

From reducing infrastructure costs to minimizing security risks, organizations are increasingly aware of the benefits they can reap from modernizing their continuous integration and continuous delivery (CI/CD) pipelines and migrating them to the cloud — the AWS cloud in particular. However, conducting a migration isn’t easy — especially when it involves a diverse mix of technologies and platforms. Containerizing workloads, using CI/CD, and automating infrastructure provisioning are among the tactics that help facilitate the migration process. But many organizations

The Amazon Web Services (AWS) Competency Program is designed to showcase AWS Partner Network (APN) organizations that demonstrate both technical proficiency and customer success across numerous solution areas. The program awards designations by industry, application, and workload. For example, partners can earn AWS competencies in Healthcare, IoT, Mobile, Microsoft Workloads or dozens of others. Earning a competency is challenging. Cloud service providers must possess deep AWS expertise, prove technical readiness, and provide documentation that highlights positive customer outcomes. AWS competencies

The COVID-19 pandemic has positioned cloud technologies center stage for many organizations — particularly those in the healthcare industry. Healthcare providers and researchers, as well as private sector companies and government entities, are racing to find diagnostics tests, treatments, and cures for the deadly virus. That’s driving the need for collaboration and communication platforms and portals for safely exchanging information. The cloud is enabling these tools. There’s also much COVID-19-related data being gathered, stored, processed, and shared. As a

The applications for matchmaking powered by artificial intelligence (AI) go far beyond online dating. The use of machine learning (ML) can help match job seekers to jobs, startups to venture capitalists, nonprofit organizations to grants, and even prospective college students to institutions of higher education. However, it’s not just the match that matters. AI offers opportunities to do more with the data gathered for these applications. For example, the data gathered for matching students to colleges and universities could

The Challenge A financial analytics company's data analysis application had proved highly successful, but that success was also a problem. With a growing number of isolated data centers generating constant data streams, it was increasingly difficult to efficiently gather, store, and analyze all that data. The company knew a cloud-based Big Data analytics infrastructure would help, specifically a data ingestion pipeline that could aggregate data streams from individual data centers into a central cloud-based data storage. One of the challenges