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It's common to hear people referring to their deployment strategy as "DevOps," but that's not quite accurate. DevOps is a philosophy and culture, while deployment strategies are more narrowly focused on the actual steps used to deploy software. A deployment strategy...

AI is rapidly becoming embedded across enterprise systems, from customer service automation to predictive analytics and decision support. But as organizations scale AI, a critical gap is emerging: most do not have clear control over the data that powers their models....

Deploying software releases can be a challenging and complex process. Even small changes to a software system can have unintended consequences that can cause downtime, user frustration, and lost revenue. This is where deployment runbooks come in. A deployment runbook,...

Test Data is the lifeblood of testing – it’s what enables us to evaluate the quality of software applications across various industries such as healthcare, insurance, finance, government, and corporate organizations. However, accessing production databases for testing...

We have all heard of the term Business Intelligence (BI), coined in 1865 (in the Cyclopaedia of Commercial and Business Anecdotes) and described more recently by Gartner as “an umbrella term that includes the applications, infrastructure and tools, and best practices...

Businesses across the board are spinning their tires when it comes to data and analytics, with many of them failing to unlock maximum value from their investments. According to one study, 76% of companies face challenges around how they manage data.  While businesses...

As organizations collect, process, and replicate data across more systems than ever before, the risk of exposure increases dramatically. Sensitive information that's safely stored in production databases often becomes vulnerable when copied into test, training, or...

An IT and Test Environment Perspective Traditionally, test environments have been difficult to manage. For one, data exists in unpredictable or unknown states.  Additionally, various applications and services contain unknown versions or test code that may skew...

Insurance platforms are data-heavy by design. Customer identities, policy records, payment details, underwriting notes, claims histories. In a Duck Creek ecosystem, that data powers critical business processes across policy, billing, and claims. It also creates...

Modern enterprises operate in environments defined by constant change. Cloud adoption, regulatory pressure, cybersecurity threats, distributed teams, and accelerating release cycles all increase the complexity of the IT landscape. In this environment, resilience is no...

The fast-paced world of today has seen an increase in the number of applications being released by companies.  However, with the complexity of software delivery life cycles, large organizations now need to have hundreds or even thousands of test environments to...

Oracle ERP systems sit at the operational and financial core of large enterprises. They manage general ledger data, procurement and supplier records, payroll and HR information, and a wide range of transactional and reporting data that is both business-critical and...

The PPP Framework, also known as the People, Process, Product Model or Three P's Framework, is a robust and widely recognized approach to driving organizational progress. The framework operates on the premise that an organization's performance is dependent on three...

As a DevOps manager or agile team leader, how do you ensure that users’ sensitive information is properly secured? Users are on the internet daily for communication, business, etc. They often supply apps with sensitive information like credit card details, and their...

Introduction In the era of artificial intelligence (AI) and machine learning (ML), the quality and accessibility of data are paramount. Ensuring that data is safe, compliant, and high-quality while remaining accessible for model training is a significant challenge....

Release management is a critical process in ensuring the smooth movement of releases to test and live environments while safeguarding the integrity of the live environment and ensuring the correct components are released.  However, many enterprises face various...

Enterprise Release Management (ERM) is a set of end-to-end practices that enable large organizations to effectively manage software releases. ERM is uniquely designed for the challenges of multiple teams building and releasing software simultaneously. ERM establishes...

To continue competing against fast-moving innovation, enterprises must improve their time to market while also improving product quality and efficiency. However, with speed comes risk. And if you’re not mitigating the risk, you may undo the value you’ve created with...

DevOps at scale is what we call the process of implementing DevOps culture at big, structured companies. Although the DevOps term was back in 2009, most organizations still haven’t completely implemented the practice. DevOps used to be most popular at start-ups. After...