Automation is a hot issue for businesses of all sizes, across all industries. Whether you work in IT or not, you’ve probably heard of automation as a method to save money, improve efficiency, and minimize errors. However, following automation, you may be wondering what action to take next, or if there are any obstacles that are restraining your DevOps teams. How can you step up your automation game and achieve the ideal success of digital transformation?

Whether you're implementing a microservice architecture that will be scalable and resilient or forward-thinking for interoperability possibilities, APIs provide the essential level of abstraction that enables communication between separate pieces of software. Modifying an API architecture once it is live is no small feat, so taking the time before building one to identify your needs and goals for your API is a worthwhile step that will help you create the API you want.

Presenting the Ably Periodic Table of Realtime putting in a single place all the disparate, well, elements of the realtime and event-driven space. Users increasingly demand realtime, synchronous digital experiences. This demand is growing exponentially and presents serious engineering challenges. Event-driven architectures meet the challenge head-on, filling the requirements gap, and establishing themselves as an indispensable, integral part of the solution.

Many a time, the choosing of a product analytics vendor can be quite an ordeal because there is no one-size-fits-all solution. The technical factors such as tech stack compatibility and integrations with the product have to be balanced with the financial health of the business. You need to find the sweet spot between where you need to go and how much money you actually have to get there.

In our Data Lake vs Data Warehouse blog, we explored the differences between two of the leading data management solutions for enterprises over the last decade. We highlighted the key capabilities of data lakes and data warehouses with real examples of enterprises using both solutions to support data analytics use cases in their daily operations.

Streamlining and optimizing its business workflows and processes is one of the most valuable things any organization can do behind the scenes. That’s where ERP (enterprise resource planning) software comes in. With use cases ranging from sales and finance to logistics and human resources, ERP platforms help integrate, standardize, and centralize all of your processes and data.

Everyone knows that more and more data is moving to the cloud. According to the latest research, 94% of all enterprises use cloud services and 48% of businesses store classified and important data in the cloud. While the cloud is ubiquitous, in practice it consists of data infrastructures in various locations around the world. The question of where the cloud data infrastructure storing your specific data is located is becoming increasingly important.

As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP), they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. CDP integrates its existing Shared Data Experience (SDX) with Ozone for an easy transition, so you can begin utilizing object storage on-prem.

Manual regression testing is time-consuming, costly, and difficult to scale as your team grows. As you add more features to your product, you have to hire more people and spend more time completing your regression test suite in every software release cycle. Automating your regression test suite can help your team scale up testing without adding more headcount.

You say to-MAY-toe, I say to-MAH-toe. I hear the questions daily - "Did you validate the system? Did you verify the feature?" The words validate and verify are used interchangeably, but what do they really mean? Is there a difference? In the world of software development and quality assurance, yes… and you need to do both.