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Deployment Frequency: What It Is and How to Improve It
Deployment frequency is one of the clearest windows into how well a software team delivers. It's easy to measure, and it tells you something real about the state of your pipeline and your culture. This guide walks through what the metric means, how to calculate it,...
What Is Data Subsetting? Methods, Examples and Best Practices
Data subsetting extracts a smaller, referentially intact subset of production data for testing. Learn how it works, the main methods, a worked example and how to choose a tool.
PeopleSoft Data Masking: How It Works and Why It Matters
PeopleSoft holds some of the most sensitive data an organization keeps: Social Security numbers, salaries, home addresses, and health records for employees or citizens. In production, that data sits behind tight controls. In dev, test, and UAT, it often doesn't. Data...
K2view Data Masking: A Practical Guide
Many teams copy production data into non-production environments to move fast, and that is exactly where sensitive data can end up exposed. This guide explains how K2view approaches data masking, why its entity-based model matters, and what to weigh before you decide...
Data Discovery Tools: Top Picks for Finding Your Data
Enterprises are generating more data than they can see. You can't govern, secure, or use data you can't find. That is the gap data discovery tools exist to close, and this guide walks through what they do, the features that separate them, the leading options, and how...
Release Governance: What It Is and How to Get It Right
Most teams already practice release governance informally. Someone decides a build is ready, someone signs off, someone remembers to check the staging environment first. The trouble is that “someone” and “somehow” don’t scale, and they don’t survive an audit. Release...
Data Masking vs. Tokenization: When Should You Use Which?
Data masking and tokenization both protect sensitive data by replacing it with something safer to handle. They solve different problems, though, and choosing the wrong one adds cost or leaves a gap. This post defines each clearly, sets them side by side on the...
11 Enterprise Architecture Tools: Features and How to Choose
Enterprise architecture (EA) is an essential discipline for organizations aiming to align their IT strategy with business goals. As companies become more complex and technology-driven, having the right set of EA tools helps streamline operations, improve...
The Go-Live Checklist: What to Verify Before You Launch
In July 2024, a single software update affected roughly 8.5 million Windows devices. CrowdStrike’s preliminary post-incident report found that a flaw in the company's Content Validator let a faulty update pass integrity checks it should have failed. That is a pattern...
What Is Release Management? A Complete Guide
Do you want to ensure that your software releases meet the highest quality standards, while also satisfying security and compliance requirements? Release management is a crucial process that can help you achieve this goal. In today’s fast-paced business world,...
Types of Test Data: 4 Key Types With Examples
Testing is an integral and vital part of creating software. In fact, test code is as important as your production code. When you create test code, you need to create test data for your code to work against. This post is about the different types of test...
What Are DevSecOps Practices? 8 Best Practices to Adopt Now
DevOps practices have drastically changed how we approach software development for more than a decade now. The number of companies that benefit from DevOps implementation is growing, and many more want to jump on the bandwagon. But let’s be clear. DevOps is far from...
6 Broadcom (CA TDM) Alternatives: Tools Worth Considering
For years, CA Test Data Manager was one of the default answers in the test data management category. That context changed when Broadcom acquired CA Technologies in 2018, a deal Broadcom valued at roughly $18.9 billion in equity and one that CA's own legal counsel...
The Hidden Cost of Inefficient Test Environment Management
Do you know how much inefficient Test Environment Management is costing you? In our discussions with organisations across Asia Pacific, North America and Europe, one thing stands out. Few realise how much Non-Production Environments cost them. When it comes to...
13 Top Test Data Management Challenges and How to Solve Them
Over the past few years, automation has become increasingly prevalent as people rely less on manual work. This trend towards digitalization can be seen in the rise of internet banking and online shopping portals, where people can complete tasks like deposits and...
Deployment Planning: Steps, Strategies and Best Practices
Deployment planning, sometimes referred to as "implementation planning," is the process of creating a plan for the successful deployment of a new software or system. It involves identifying the resources, tasks, and timeline needed to ensure that the deployment is...
Synthetic Test Data: Pros, Cons and Data Fabrication Tips
Data privacy is one of the most pressing issues in the new digital era. Data holds so much value for normal internet users and for all types of companies that are looking to capitalize on this new resource. To keep data anonymous and private, two types of solutions...
Data Compliance in Salesforce: Key Challenges and Solutions
Introduction Salesforce remains the top choice for customer relationship management (CRM), with a 19.5% market share. The company provides more than 150,000 organizations with powerful analytics, marketing automation, and business development services. Without a...
Value Stream Mapping for DevOps: Close the Void in Delivery
Ever wonder why your releases take so long? After all, your company just invested a “zillion” dollars in a whole bunch of great ‘agile’ tools and a cloud framework. Tools that allow you to automatically provision your infrastructure, applications, and data, and ensure...
10 Cloud Optimization Tricks to Cut AWS and Azure Spending
In this digital era, online businesses have become mainstream. Consequently, online commerce has flourished and led to loads and loads of data! Businesses need to build data centers to store information. Not only that, but if you own a big business, you have to expand...
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