Broadcom Test Data Manager (TDM) helps today’s agile teams overcome these challenges by allowing them to more easily manage their test data. And when integrated with TDM logs, Splunk enables real-time search, monitoring, and analysis for automated test data management at scale, giving teams broader data observability through Splunk’s powerful analytics and visualizations.

In this guide, you’ll learn how to load Broadcom TDM logs into the Splunk platform. By creating a Python script to process and ingest TDM logs for Splunk, you can make your test data logs easier to search, analyze for errors, and visualize for real-time monitoring and insights.

What Is Broadcom TDM?

Broadcom TDM is a solution that helps development teams and partners create and manage synthetic data for various testing purposes in their software development lifecycle (SDLC) processes. For example, teams can use TDM to create fit-for-purpose datasets for security and compliance validation, fill gaps in test data coverage, and create future scenarios and unexpected results to test boundary conditions, to name a few use cases.

Here are Broadcom TDM’s key features:

Synthetic Data Creation

TDM enables software teams to create synthetic test data from scratch using sophisticated coverage analysis, allowing for the smallest datasets required for comprehensive testing. With synthetic data, developers can test future scenarios and unexpected results—particularly values at the edge of input ranges, where errors are most likely to occur. 

This approach helps ensure that the software behaves as expected within the limits of allowable input, reducing the risk of costly delays and production errors.

Data Discovery and Profiling

TDM’s Discovery and Profiling feature provides data sampling and discovery capabilities that enable teams to profile data within a software project. These functionalities are crucial for identifying personally identifiable information (PII) across multiple data sources, ensuring that data privacy and compliance issues are surfaced and addressed as early as possible.

Data Masking and Virtual Test Data

Teams can use TDM to quickly provision virtual copies of test data for each tester on demand. This enables development and testing teams to deliver higher-quality software to market faster, at a lower cost, and with fewer bugs and deployment issues. 

TDM also provides a scalable PII masking feature that quickly and efficiently masks large data volumes, allowing teams to demonstrate continuous compliance with data privacy regulations without additional administrative or configuration overhead. 

Data Storage and Reuse

TDM allows software teams to store test data as centralized, reusable assets that can be cloned and provisioned in minutes to match specific tests and use cases. Data models and rules are also stored in a central repository, minimizing redundant efforts and maximizing the value of existing work.

Automated Test Data Management and Agile Software Development with Broadcom TDM

Comprehensive testing is essential to high-quality software, as it thoroughly evaluates all aspects of the application to uncover potential bugs, performance bottlenecks, and usability issues before they reach end users. Automated test data management is a critical component of comprehensive testing, enabling teams to scale their efforts efficiently and cost-effectively while achieving better results.

Agile software development relies on iterative, customer-centric, adaptive tactics to deliver high-quality software quickly and at a lower cost. TDM enhances data management in agile processes by reducing data volumes, test durations and costs, and overall development lifecycle time. 

Test data preparation efforts that extend beyond the typical two-week sprint cycle can disrupt a development team’s cadence—TDM helps avoid such delays by providing test data on demand, in seconds, for end-to-end application development and validation.

Why Integrate TDM with Splunk?

Integrating Broadcom TDM logs with Splunk offers significant advantages in test data management. Splunk enhances data visibility by providing powerful analytics and dashboards, giving your software development team deeper insights into your test data logs. This integration supports more efficient error monitoring and troubleshooting processes, improved compliance tracking with real-time insights, and timely access to accurate test data, helping your team align with the agile development schedule and cadence.

Broadcom TDM-Splunk Integration: Prerequisites

The following items are required for integrating your Broadcom TDM logs with Splunk:

• Splunk Enterprise
• Broadcom TDM log files
• Python IDE or code editor (e.g., PyCharm or Visual Studio Code)
• Some proficiency with Python

Please note that this guide specifically covers integrating Broadcom TDM log files with Splunk Enterprise (not Splunk Cloud) on a Windows-based system.

Loading TDM into Splunk: A Step-by-Step Guide

The following steps will show you how to set up Splunk to ingest TDM log files using a custom Python script.

Setting Up Splunk 

To configure your instance of Splunk Enterprise to ingest TDM log files, first create a new app. Navigate to the Apps section of Splunk Enterprise and click on the Create app button on the top-right side.

On the Add new page, provide a name for your new app (e.g., “Insert TDM Logs”).

Under Folder name, specify the app directory where your app will be located (e.g., “Insert_TDM_Logs”). Take note of the app’s directory path under Folder name—this is where you will place your custom Python script, in the bin subdirectory. The remaining fields are optional and can be left blank for now. 

Click the Save button to add your new app. Once the app has been saved, you will be redirected to the Apps page, where you can verify that your new app was created successfully.

Writing the Python Script to Process TDM Logs

The following Python script processes your TDM log files by first loading the log file from the folder specified in the dir variable (e.g., “C:\\data\\Tdm_logs\\logs\\”). The script then performs a pattern match for the word “ERROR” and outputs the results to a JSON-formatted file that Splunk can ingest and analyze.

import re
import os
import json
import sys

def filter_errors(log_line, filename):
    pattern = r"\[ERROR\]"
    debug_string_holder = {}
    match = re.search(pattern, log_line)

    if match:
        pattern = r"\s+"
        string_splits = re.split(pattern, log_line)
        debug_string_holder["Data"] = string_splits[0] + " " + string_splits[1]
        debug_string_holder["Type"] = string_splits[3]
        debug_string_holder["Message"] = " ".join(string_splits[4:])

    if len(debug_string_holder) != 0:
            json_object = json.dumps(debug_string_holder)
            print(json_object)

dir = "C:\\data\\Tdm_logs\\logs\\"
    for filename in os.listdir(dir):
        if filename.endswith(".log"):
            with open(dir+filename, 'r') as f:
                for line in f:
                    filter_errors(line, filename)

To modify the Python code for your system, copy and paste the Python code into your IDE or code editor, and replace the value of the dir variable with the path to your TDM log files. If you’re using Windows, remember to include an extra backslash to properly escape each backslash.

Save the Python script to the bin subdirectory of your app’s directory path (i.e., the Folder Name you specified earlier when creating the app) as “import_TDM_Debug_logs.py.” If using another file name, be sure to include the “.py” extension to identify it as a Python script.  

Automating Log Ingestion into Splunk

Once you have created your Python script, go back to the Apps page in Splunk Enterprise. Under Actions, click the Launch app link for the “Insert TDM Logs” app you created earlier.

In the top-level navigation, under Settings, click on Data inputs (under “DATA”). 

On the Data inputs page, click the Scripts link to add your Python script to your app.

You can configure your Python script’s settings on the Add Data page. Under Script Path, navigate to the bin directory where your Python script is saved.

For Script Name and Command, you can accept the default values provided by Splunk. You may also provide custom values for Interval Input and Interval to set the timing parameters that Splunk will use when executing your script.

Click Next to continue to the Input Settings page. For Source Type, select “Structured” and “json_no_timestamp.”  For App Context, make sure that the “Insert TDM Logs (Insert_TDM_Logs)” is selected. You can accept the default values for the other fields and click Next.

After clicking the Review and Submit buttons, your script input will be created. Click the Start Searching button to view your TDM error logs ingested into Splunk.

You can now view your TDM error logs in Splunk, filter by selected and interesting fields, and view Statistics and Visualizations by clicking on the respective tabs under the search pane.

Enhancing Test Data Management with Broadcom TDM

By following this guide, you can equip your development team with streamlined testing processes using Broadcom TDM logs and Splunk Enterprise, enabling real-time search, monitoring, and analysis for automated test data management at scale, along with data observability through analytics and visualizations.

For more information about integrating Test Data Manager by Broadcom or additional support, contact A&I Solutions with your questions today.

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At the heart of digital transformation in today’s software-driven markets is service virtualization, a powerful catalyst for streamlining operations, increasing productivity, reducing testing and maintenance costs, and ultimately delivering higher-quality software to market as quickly as possible. Service virtualization supercharges development efforts by allowing teams to overcome bottlenecks, reduce dependency on physical systems, and embrace faster innovation cycles while mitigating risks.

In this article, you’ll learn how service virtualization enables faster, risk-free innovation and how Service Virtualization by Broadcom—a longstanding leader in this field—supports organizations in accelerating their digital transformation journeys by implementing more effective service virtualization processes across their operations.

What Is Service Virtualization?

As its name implies, service virtualization involves the virtualization and simulation of required systems and services throughout a software’s development lifecycle. Crucially, it allows for development and testing to proceed even when systems or third-party resources are unavailable or too expensive to implement. 

These systems or resources might include software applications, microservices, APIs, or even complex backend systems and infrastructure components (e.g., mainframes, ERP systems, industrial control systems). In all cases, service virtualization aims to remove constraints by reliably emulating required ecosystem components.

Key Benefits of Service Virtualization for Modern Software Development

From reducing costs to improving efficiency, the following are some key benefits that service virtualization brings to modern software development teams.

Accelerated Development Cycles

Service virtualization enables more effective parallel development and testing, significantly reducing time-to-market. By simulating required systems, it removes constraints throughout the software development lifecycle that can hinder continuous testing and concurrent development.

By emulating specific components within complex, component-based applications, service virtualization allows developers to work in self-contained environments that closely mirror production. This approach supports both isolated and simultaneous development and testing activities, allowing developers, testers, and performance teams to work in parallel. The result is faster delivery, lower costs, and improved quality for innovative software applications.

Increased Cost Savings

Service virtualization empowers development teams to create virtual environments, reducing the need for costly third-party services and infrastructure investments. By emulating core applications, external services, and even entire backend systems, teams can seamlessly share virtual assets and collaborate more effectively. 

This removal of dependency constraints enables organizations to accelerate development cycles and maintain a cost advantage over competitors still relying on traditional development methods.

Enhanced Testing Capabilities

APIs, microservices, mainframes, and third-party systems are often unavailable for testing until late in the development cycle. Consequently, organizations struggle to test application components that reside outside their development environment, as these resources are frequently inaccessible when testers need them.

Service virtualization enables shift-left testing, a practice that moves testing and validation earlier in the software lifecycle. Rather than waiting for complex or isolated systems to become available or cost-effective to integrate, teams can use service virtualization to carry out testing earlier in the software development process, resulting in fewer bugs and reduced overall project risk.

Improved Performance Readiness

Service virtualization frees testers from relying on production assets that may be unavailable, which in turn enables continuous integrated testing throughout the software development lifecycle. This approach allows for more comprehensive performance and functional testing to be conducted in parallel.

By simulating production-level conditions, service virtualization empowers teams across the development and delivery ecosystem to perform robust performance testing, reducing risk and saving both time and effort. Performance tests can be executed against simulations of APIs, complex environments, mainframes, and third-party services.

Driving Agility and Resilience with Broadcom Service Virtualization

Broadcom Service Virtualization is a leading solution that enables teams to create virtual versions of services, APIs, and systems, allowing testing to proceed even when these components are unavailable or costly to access. It provides the following key features for effective service virtualization:

Service and Application Emulation

Broadcom Service Virtualization offers service and application emulation capabilities for a wide range of front-end, middleware, and backend systems, supporting protocols for popular APIs (e.g., REST, SOAP, XML, JSON), middleware (e.g., WebSphere MQ, WebSphere Native, Standard JMS, Tibco JMS, Rabbit MQ), mainframes (CICS Link, CICS Transaction Gateway or CTG, IMS Connect, DRDA, Copybook), ERP systems (e.g., SAP: RFC/Jco, Idoc/Jco), databases (JDBC), and financial systems (SWIFT, EDI/X12).

Integrations with Popular Developer Tools 

Broadcom Service Virtualization integrates with popular development tools, such as Selenium and Eclipse, and leading DevOps and CI/CD solutions like Jenkins and Docker. It also incorporates Broadcom Test Data Manager (TDM) natively, allowing developers and testers to quickly provision high-quality, fit-for-purpose test data.

Broadcom Service Virtualization in Practice: Real-World Use Cases

Organizations across various sectors rely on Broadcom Service Virtualization to streamline their development and testing processes. Here are two real-world examples from the banking/finance and telecommunications industries.

Banking and Finance

Westpac Banking Corporation, commonly known as Westpac, is an Australian multinational banking and financial services company. As Australia’s first and oldest bank and one of the country’s Big Four, Westpac serves 13 million customers globally and employs around 36,000 people. In 2022, it ranked 53rd in the “Top 1000 World Banks.”

Westpac uses Broadcom Service Virtualization over SOAPUI as its preferred tool, benefiting from its advanced protocol support and other key features.

Telecommunications

Telefónica Chile, a subsidiary of the Telefónica Group, offers a range of services, including landline and mobile telephony, internet, data access, pay TV, and IT solutions for businesses under the Movistar brand.

The company selected Broadcom Service Virtualization to streamline its application development and testing processes while optimizing costs and improving the software development lifecycle. As a result, Telefónica Chile reduced infrastructure testing costs by 20% and accelerated its Service-Oriented Architecture (SOA) practices, achieving a 15% reduction in time-to-market for applications.

Overcoming Common Development Challenges with Broadcom Service Virtualization

Modern software development often faces delays and constraints due to limited access to essential systems and resources. Broadcom Service Virtualization addresses these challenges by providing solutions that streamline testing and accelerate the development process. 

Key challenges it helps overcome include:

Elimination of Bottlenecks

Broadcom Service Virtualization allows testing teams to access otherwise constrained or incomplete components in their testing environment, which would typically slow down development and testing. By creating virtual versions of these dependencies and simulating their functionality, Broadcom Service Virtualization eliminates bottlenecks, providing quick and easy access to incomplete systems, third-party-controlled systems, restricted systems, and systems needed by multiple parties simultaneously.

Reducing Infrastructure Constraints

Comprehensive testing often requires extensive hardware and software resources to cover a wide range of scenarios. Broadcom Service Virtualization simulates the behavior of various systems without needing the actual hardware or software. By emulating constrained or unavailable systems, teams can conduct faster, parallel testing, resulting in higher application quality and reliability.

Simulating Third-Party Systems

In software development, it’s common to use stubs and mocks in API testing. Stubs simulate simple interactions to retrieve response data, while mocks emulate more complex scenarios to verify API interactions. However, these methods can result in fragile connections and unreliable test outcomes. 

Broadcom Service Virtualization provides a more comprehensive mirror of production API specifications, enabling high-fidelity testing at any layer and reducing the risk of failure when applications are deployed in production.

Future-Proofing Digital Transformation Initiatives with Broadcom Service Virtualization

As software architectures become more complex and diverse, with application development and underlying IT infrastructures moving to the cloud, service virtualization becomes essential to an organization’s digital transformation strategy. It enables firms to support DevOps, CI/CD pipelines, and cloud-native development by streamlining development and testing cycles.

In DevOps environments, service virtualization allows teams to simulate and test complex systems and dependencies early in the development process. Within CI/CD pipelines, it enhances automated testing by enabling parallel testing, quicker issue detection, and faster deployment. For teams developing cloud-native applications with microservices, service virtualization allows for emulation of third-party services and APIs, facilitating testing across distributed environments without the need for live systems. This results in reduced risk, improved software quality, and faster time-to-market.

As a key driver of digital transformation, service virtualization helps organizations eliminate bottlenecks, reduce dependency on physical systems, and accelerate innovation. Service Virtualization by Broadcom is a leading solution, empowering teams to enhance agility and resilience. To learn more, book a demo or speak with an A&I team member today.

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QA teams are under constant pressure to speed up testing cycles without sacrificing software quality. Achieving the necessary efficiency levels in today’s engineering landscape requires identifying and resolving as many issues as possible within narrow time constraints. This challenge often involves operational trade-offs—such as the need to balance speed with thoroughness—which can result in missed bugs and heightened production risks. 

To overcome these hurdles, organizations must implement innovative strategies that create testing workflows capable of delivering both speed and quality. This guide explores approaches to streamline testing processes while maintaining high standards of software delivery.

Why Balancing Speed and Quality Is Crucial

Agile practitioners strive to balance speed and quality by integrating DevOps testing tools and strategies to create efficient yet thorough software testing processes. This balance is essential for maintaining consistent quality while scaling to meet growing demands.

However, achieving it requires more than simply accelerating development—some areas demand careful attention to avoid overlooking critical issues. At the same time, overly detailed testing can cause unnecessary delays that impact release schedules. Striking the right balance ensures timely delivery, a positive user experience, and mitigates risks like costly production bugs, reputational damage, or missed market opportunities.

Strategies for a Balanced Testing Workflow

Below are practical strategies software teams can use to streamline processes while maintaining high-quality standards.

Automate Where Possible

Your teams should prioritize automation wherever possible. Modern software environments and toolchains are designed for high levels of automation, with most testing workflows now incorporating automated processes such as unit testing, integration testing, functional testing, and acceptance testing. 

These workflows streamline operations by ensuring software meets expectations for functionality, reliability, performance, and security in a single, coordinated effort. Advanced CI/CD pipelines and automation tools are optimized to handle repetitive test cases and efficiently manage large-scale cloud environments.

Shift-Left, Continuous Testing

Shift-left testing is a software development approach that emphasizes initiating testing earlier in the development process. This strategy enhances software quality, improves test coverage, provides continuous feedback, and accelerates time to market. By starting testing early in the development lifecycle, teams can identify and address issues sooner.

To complement shift-left testing, development and QA teams must collaborate closely to align objectives and adopt techniques like service virtualization for comprehensive end-to-end testing early in the process. Service virtualization can dramatically reduce test delays and eliminate common IT constraints related to QA testing and software development through simulating critical and high-traffic environments. This allows multiple teams to access applications, data, and resources simultaneously, making critical resources available how and whenever needed by all parties. 

Also, integrating testing throughout the CI/CD pipeline enables faster feedback loops, and smaller, more frequent tests can be conducted to ensure consistent progress, allowing teams to detect and resolve issues promptly—well before they reach end users.

Use Realistic Test Data and Scenarios

Your testing workflow should incorporate realistic test data and scenarios to accurately reflect the data diversity of your software environment. By building realistic test environments, you can ensure that results are both reliable and actionable. Simulating edge cases and high-load conditions can also help uncover potential risks early in the development process. 

Tools like Test Data Manager by Broadcom help automate the process of finding, securing, creating, and delivering test data faster, allowing teams to accelerate and improve application delivery.

Prioritize Tests Based on Risk

In an ideal world, your team would have unlimited time and resources for testing. However, the reality is that even the largest organizations must prioritize their testing efforts, focusing on the most critical areas with the highest risk of failure. To allocate time and resources effectively, it’s best to adopt a risk-based testing approach and apply the 80/20 Pareto principle. This way, the most impactful issues are addressed first.

Common Pitfalls and How to Avoid Them 

Adopting modern testing strategies can significantly improve efficiency and quality, but teams often encounter common pitfalls that undermine their efforts. Understanding these challenges and addressing them proactively is essential for maintaining streamlined workflows and achieving successful outcomes. 

Overreliance on Manual Testing

Manual testing can slow down processes and increase the risk of human error, as each scenario requires direct human intervention. This makes manual testing efforts orders of magnitude slower than automated testing, often resulting in extended development lifecycles. 

Automation is a critical element of modern testing solutions and ensures reliability and reproducibility. It should extend to test data management by automating the creation, provisioning, management, and tracking of test data for greater efficiency and accuracy.

Insufficient Test Coverage

Your testing coverage should include both common and edge cases, as well as complex scenarios. Skipping these to save time can be disastrous if such edge cases emerge later in the process. 

Lack of Collaboration Between Teams

Even with a wide array of contemporary tools for aligning DevOps and testing teams, effective communication remains the irreplaceable enabler of software success. The importance of clear communication between developers, testers, and stakeholders cannot be overstated, and its absence often leads to flawed or failed projects.

Rapid Acceleration with the Appropriate Guard Rails

By implementing strategies such as automation, early testing, and realistic test scenarios, you can achieve a balance between testing speed and quality. Broadcom offers a suite of DevOps tools designed to support these strategies, helping your teams accelerate development while ensuring proper software safeguards. 

For instance, Broadcom Service Virtualization enables early and continuous testing in realistic environments, while Broadcom Test Data Manager streamlines the creation and management of accurate test data, leading to faster and more reliable workflows.

Contact A&I today for a demo or consultation to discover how our Broadcom solutions can optimize your testing workflows.

The post Balancing Speed and Quality: Achieving the Perfect Testing Workflow appeared first on A&I Solutions.

While the terms are often used interchangeably, each serves a distinct purpose in making automated software delivery more efficient. In this article, we’ll explore the nuances of each of these practices and learn why they play crucial roles in modern software development pipelines.

What Is Continuous Integration?

Continuous integration is a development practice where developers regularly integrate their code changes into a central repository, and automated builds and tests are executed to detect integration issues promptly. The primary goal is to ensure that new code additions do not disrupt the existing codebase, thereby reducing the risk of conflicts and errors during the development process. 

Continuous integration is rooted in the principles of Agile development—practices that aim to enhance collaboration, increase development speed, and deliver high-quality software.

What Is Continuous Deployment?

Continuous deployment is a software engineering approach where every code change that passes automated testing is automatically deployed to the production environment. As soon as a developer commits a change to the version control system, the entire process of building, testing, and deploying the application to production is triggered automatically, ensuring that new features, enhancements, or bug fixes are made available to end users as quickly as possible. 

In  terms of continuous integration vs continuous deployment, the latter extends continuous integration by automating the release and deployment of successfully tested code changes into production environments. In essence, while continuous integration focuses on the consistent integration and testing of code, continuous deployment extends the automation to the deployment phase, enabling a rapid and reliable delivery pipeline for software releases. This relies heavily on automation to minimize manual intervention during deployment and increase the speed of quality software delivery.

What Is Continuous Delivery?

Continuous delivery is a software development approach that emphasizes the automation of the software delivery pipeline, enabling organizations to release high-quality software to production at a moment’s notice. Unlike continuous deployment, which automatically deploys every code change to production, continuous delivery stops short of automatic deployment, allowing teams to make a conscious decision about when to release new features or updates. The ultimate goal of continuous delivery is to create a reliable, repeatable, and efficient process for delivering software, reducing the time it takes to get new features to end users while maintaining a high level of confidence in the software’s stability and quality.

The practice first gained prominence in the early 2000s, with Martin Fowler, a well-known software development thought leader, playing a key role in popularizing the concepts. Fowler, along with Jez Humble and others, co-authored the influential book “Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation” in 2010. This book provided a comprehensive guide to the principles and practices of continuous delivery.

The Pros and Cons of Each Practice

Each of these practices has its strengths and weaknesses. The following are some of the more crucial considerations to keep top of mind when implementing continuous delivery, continuous deployment, and continuous integration.

Continuous Delivery — Pros and Cons

Continuous delivery significantly enhances the speed and efficiency of software delivery, allowing organizations to release new features and updates more frequently. The automated and streamlined deployment process reduces the likelihood of human errors, ensuring a more reliable and consistent release cycle. Moreover, CD fosters a culture of continuous improvement and collaboration within development teams, as it necessitates rigorous testing and validation practices.

However, to reap these benefits, firms must make a substantial upfront investment in creating and maintaining a robust automated pipeline. Teams may also encounter (or even pose) resistance to the cultural shift required for successful continuous delivery adoption, and industries with strict compliance standards may require additional steps in designing their automated deployments.

Continuous Deployment — Pros and Cons

Similarly, continuous deployment brings forth a set of distinct advantages and challenges that require proper analysis and evaluation prior to adoption. The extreme advantages of continuous deployment are unquestionable. The practice streamlines the software release process to an unparalleled degree, enabling organizations to promptly deliver new features or bug fixes to end users. The automation inherent in CD reduces the risk of manual errors during deployment, contributing to increased reliability and consistency. This accelerated release cycle can foster quicker responsiveness to user feedback and changing market demands.

The potential downsides to continuous and automatic deployment of code changes include the need for robust testing practices for catching bugs before they reach end users, as well as efficient monitoring and rollback mechanisms to swiftly address unforeseen issues. And like continuous delivery, cultural shifts within development teams may be necessary to conform with the rapid, automated nature of continuous deployment. Firms operating under stringent regulatory requirements may also find it challenging to align compliance needs with continuous deployment’s rapid release cadence.

Continuous Integration — Pros and Cons

Like continuous delivery and continuous deployment, continuous integration plays a pivotal role in delivering resilient, high-quality software to end users. By promoting frequent and automated integration of code changes into a shared repository, the practice enhances code quality and enables early detection of integration issues, reducing the likelihood of conflicts and ensuring a more stable codebase.

With the automation of build and test phases providing developers rapid feedback, continuous integration allows for more agility in addressing issues promptly and pushing out updates or fixes through a logical continuous delivery/continuous deployment queue—also referred to as a CI/CD pipeline—with monitoring and alerting carried out through an intricate series of APIs.

The practice also fosters a collaborative development culture, where the integration of small, incremental changes becomes a standard practice.

However, implementing continuous integration requires substantial initial investments in setting up automated build and test environments and networking resources. Teams must also commit to maintaining a suite of reliable tests, and occasionally, false positives may occur, impacting developer trust in the continuous integration process. In larger projects, managing dependencies and ensuring consistent build environments can be challenging with continuous integration. Suffice to say, the practice—while significantly improving code integration and quality—demands careful consideration of infrastructure, test maintenance, and team culture.

In short, continuous integration, continuous deployment, and continuous delivery are foundational to modern software development, enabling teams to collaborate, develop, and deliver software products that meet the demands and expectations of today’s software users. 

A&I has an extensive track record in this regard, with deep experience with Broadcom solutions in particular. Broadcom’s DevOps solutions combines agile development, full orchestration and automation for CI/CD pipelines, and AI-driven insights to help accelerate software delivery without sacrificing quality. To learn more, book a demo today or talk to an A&I team member for an expert consultation.

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In theory, these numbers should be dwarfed by the number of software defects identified and fixed during the development and testing stages of the software development lifecycle (SDLC). However, leaving testing until the final stages of the SDLC leaves little room for remediation and increases the probability that some bugs will slip through the cracks into production systems.

Continuous testing is a component of the DevOps design methodology that is intended to address this problem. Instead of waiting until development is complete to perform testing, automated testing is performed throughout the development process. By shifting security left or helping to implement DevSecOps, continuous testing reduces the potential impact of software vulnerabilities and the cost incurred while fixing them.

This article explores the concept of continuous testing, including the key goals and benefits that it provides. It also identifies key requirements for implementing a continuous testing program and ways to streamline and optimize this process.

Key Objectives of Continuous Testing

Traditionally, testing is performed by a standalone quality assurance (QA) team late in the SDLC. However, this approach has its limitations, including the limited window to address any defects before the release target.

Continuous testing integrates testing throughout the SDLC, performing automated, frequent tests instead of relying on a single, comprehensive test at the end. Some of the main goals of continuous testing include:

Benefits of Continuous Testing in DevOps

Continuous DevOps testing moves testing earlier in the SDLC. This provides a few important benefits to the development team and the software’s users, including:

What Do I Need for Continuous Testing?

Continuous testing can be highly beneficial for a development team and the enterprise as a whole. However, it must be supported by the right infrastructure and DevOps testing tools to be successful. Some key requirements for continuous testing include:

Optimizing the Continuous Testing Process

Continuous testing applies the DevOps mentality to the process of ensuring code quality. Instead of engaging in a monolithic testing phase at the end of the SDLC, tests are automated and performed regularly. This process enables defects to be addressed promptly with minimal resource utilization and impact on release timelines.

A&I makes it easier for development teams to embrace continuous testing and streamline the testing process with industry-leading solutions by Broadcom. You can streamline your team’s testing process with:

• Agile Requirements Designer: Visually define software requirements and automatically create the minimal set of tests required to fully validate software quality.
• Test Data Manager: Automatically collect or generate test data while properly securing PII and filling gaps in existing datasets.
• Service Virtualization: Accurately emulate the behavior of unavailable services to ensure realism during the continuous testing process.

To learn more about how A&I can enhance your development process, talk to an A&I team member today. See the potential benefits for yourself by booking a free demo.

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Tech Trends to Watch Out For 

Future developments in technology will likely include the following:

Artificial Intelligence and Machine Learning

More businesses will use AI and machine learning in the future. In fact, many businesses have already invested in AIOps solutions as they recognize the value AI and machine learning can bring, such as intelligent automation, actionable insights, and full-stack observability. In 2023, companies will be looking to automate tasks, improve forecasts, and gain more visibility across distributed and diverse IT environments, all of which are achievable through advanced AIOps solutions.

Agile and DevOps Practices

Recent years have seen a noteworthy increase in using Agile and DevOps methods for developing software. This trend is set to continue in 2023 as businesses continue to use agile and DevOps techniques to help enhance the efficiency, dependability, and quality of their services and goods.

The agile method emphasizes teamwork, adaptability, and ongoing iteration during software development. It uses Agile Manifesto’s tenets as the basis for approaching work. These tenets encourage the quick delivery of high-quality software using agile, cross-functional teams.

On the other side, DevOps is a collection of principles that integrates development and operations teams. It aims to enhance teamwork and productivity across the software development lifecycle. This can involve techniques like infrastructure automation, continuous integration, and delivery.

Adopting these methods can help businesses become more adaptable and sensitive to changing consumer demands. 

Intelligent Search

This is one of the future trends for digital transformation. It employs sophisticated algorithms to comprehend user intent and deliver more relevant results. It can assist companies to enhance their web presence and provide better customer service.

In 2023, intelligent search will be popular due to the growing usage of AI and machine learning technology. Since employees work in a hybrid workplace, intelligent search is a crucial digital transformation approach. End users may access data from several places and data sets using intelligent search.

Intelligent search differs from conventional search engines because it provides answers tailored to a company. Its other names are cognitive search, AI-powered search, and natural language search. 

Cloud Computing Technologies

After years of development, cloud computing is more popular than ever and 2023 will be no different. Most businesses are moving from on-premise data centers to cloud services or a combo of the two.

Cloud technology has the power to transform business operations, making data accessible from any location. With cloud computing technologies, businesses may access their work remotely, which lessens the need for on-site facilities like data centers.

In 2023, distributed clouds will become a popular digital transformation trend. This is because more businesses are migrating to the cloud. By connecting to data and applications across many locations, this technology enables companies to innovate and be more resilient. The expanding benefits of cloud computing enable businesses to easily scale operations up or down.

Businesses will also be implementing multi-cloud strategies in 2023, enabling them to employ a variety of public clouds instead of one cloud service provider. The future of the cloud relies on hybrid cloud solutions, which combine local, public, and private clouds

Increase in Hybrid Work Model

Hybrid work has only recently become an effective option for companies. After the pandemic, the hybrid work paradigm became popular as a flexible working style. The future of work will likely involve even more distributed and remote environments. Therefore, companies will continue to invest in IT software and solutions like AppNeta that support this new hybrid work model.

Bottom Line

Technology is always changing. Therefore, organizations must stay on top of the latest trends and advancements to be competitive. Machine learning, hybrid work, intelligent search, and cloud computing are just some of the themes that will shape 2023. 

Learn how you can take advantage of these new tech trends with A&I Solutions. We are a leading provider of Broadcom Software solutions and services, offering a wide range of products, such as DevOps, AIOps, API Management, and ValueOps solutions. 

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Several tools and resources are available today to help businesses maximize the value of the output produced. Most of the products and software we use daily are due to the Agile methodology. Yet, embracing the Agile operating model can be frustrating and tough, especially for businesses that are reluctant to embrace change.

Before we delve into the Agile methodology and how it’s needed to scale your business, let’s look at what Agile is.

What is Agile?

Agile is the potential to generate and respond to change. It’s a way of adapting and thriving in an unstable and uncertain environment. Organizations are further adopting digital transformation approaches when faced with disruption threats to keep up with the accelerating pace of business. Once they do, agile software development often sets in.

Agile Methodologies

The Agile Manifesto is a crucial document with so much impact that it serves as a manual for Agile development, laying out good practices and principles. 

Since its inception in 2001, Agile has flourished in project management and the software industry. The Agile Manifesto creators prefer “Agile” as the tag for the entire idea since the word defined the flexibility and responsiveness to change which was imperative to their methods.

Agile is a software development approach that seeks the frequent delivery of working software built-in quick iterations. But the term “agile methodology” is deceiving since it means that agile is a singular approach to software development. Agile isn’t a set of prescriptions on what actions to take in software development. It’s a way of thinking about workflows, collaborations, and values guiding our decisions on what we create and how we create it.

In reality, Agile software development methodologies entail quick delivery of small bits of working software to improve customer experience. It uses teamwork and adaptive approaches to focus on continuous improvement. This software development approach often comprises small and self-organizing teams of software developers and business reps. These groups attend in-person meetings together regularly throughout the software development life cycle.

Through Agile methodologies, businesses can deliver value to customers more quickly and with fewer issues. They can achieve this by managing projects and iteratively developing software. An agile team approach delivers tasks in little but consumable additions instead of pledging everything on a big-bang launch. 

Teams can rapidly respond to change by continuously evaluating plans, requirements, and results.

The Agile Manifesto and most of its 12 principles state that:

• Agile processes encourage sustainable development since their technical excellence and constant rhythm improve productivity.
• Customer satisfaction is a top priority, shown through timely delivery and added value.
• The development team should work with the customer daily to facilitate the team and synchronize the product.
• Reflective moments within a team are vital, enabling them to make the necessary adjustments and promote efficiency.
• Development teams need good support and a pleasant environment to keep them motivated.

Besides the quick delivery of software, the primary benefit of using Agile methodologies is the continuous delivery of value to the customer because deliveries are progressive.

Once considered just a trend, Agile has matured into a famous and valued framework. It has expanded outside of the IT and software development industry into the automotive manufacturing, management consulting, banking, and healthcare sectors.

There are several benefits of adopting agile approaches. Agile methods can help:

• Reduce risk and eliminate waste
• Reach markets faster
• Promote better collaboration
• Help you gain an edge in the future
• Create high-quality products that customers value

The Manifesto for Agile Software Development describes four top traits that should be valued over other concerns. These are:

• Customer collaboration over contract negotiation
• Software in operation over comprehensive records
• Interaction and individuals over tools and processes
• Response to change over following a scheme of arrangement

Scrum

Several different Agile methodologies exist today, including Kanban, Scrum, and Extreme Programming (XP). While all of these methods have gained traction among various businesses and industries, Scrum remains the most used Agile framework for software development. What is Scrum? It is characterized by stages or cycles of development called sprints. Teams use scrum to establish a hypothesis, test, and reflect on the experience and adjust. With scrum, teams can incorporate practices from other frameworks based on the conditions.

How to Scale Your Business with Agile

If you discover that there’s more demand than you can deliver constantly, then it means that you need to scale your Agile teams. Switching to an Agile culture takes work. It takes a radical mindset of how you do business. 

Scaling agile across your company yields flexibility, agility, and organizational health. Here are some tips to follow to make your business more agile.

1. Focus on the questions: The questions you want to address must be your sense of direction. Ensure that the solution you seek drives meaningful and specific action.
2. Measure for insights: It could be enticing to gather huge amounts of data over instrument infrastructure and code, which becomes another management migraine. Stand firm and focus on a specific area to show value.
3. Run experiments: Guide ongoing trials with analytics and predict changes that will enhance the customer experience. Through analytics, you can validate the outcome of proposed optimizations before adopting them at scale.
4. Optimize for the organization: Ensure your efforts are deeply rooted in the organization. Don’t allow data to distract you. Data collection and instrumentation are crucial. But they must focus on answering questions that matter to the organization and customer in a continuous feedback curve.

Wrapping Up

The agile software development method and general framework are your tickets to success in the application economy. Companies that survive and thrive in this global landscape are the ones that quickly and confidently deliver fast value, respond to change, and build high-quality and valuable products.

Rally by Broadcom Software is the foundation of enterprise agility. With it, your organization will have improved clarity, speed, stability, innovation, and operational discipline.  

Plan, focus, manage, monitor, and always improve your work with Rally by Broadcom today. To learn more about this leading enterprise agility platform, contact A&I Solutions.

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However, sometimes organizations need data for less secure operations, such as training or
testing, which puts it at risk. The risk is compounded if these operations are outsourced to a third
party as the organization has less control over data security and usage.

What is Data Masking?

That is where data masking comes in. It creates a functional substitute for the sensitive data an
organization needs to use in less secure occasions and operations. The sensitive information is
altered or obfuscated, but the data maintains a similar structure and characteristics to make it
usable for testing and training.

Learn More

While data masking is an essential practice to keep information secure and private, it can sometimes be a challenge for businesses and software teams to implement. Read the white paper below to discover effective ways to solve common data masking challenges.

The post How to Solve Data Masking Challenges appeared first on A&I Solutions.

A Team of Certified Experts

As a longtime leader in the IT software and services industry, A&I is uniquely equipped to help you with whatever your technology challenges may be. Our entire tech team is certified in their respective fields, possessing both the knowledge and hands-on experience to help our customers achieve real, tangible results. In fact, two of our very own IT ninjas, Tim Higgins and Paul Stege, recently received Broadcom’s prestigious Knight Certification, joining a small and elite group of Technical Partner Professionals who have consistently demonstrated their product knowledge and are considered to be the best of the best. Read on below to find out more about the Broadcom Software Knight program and what sets A&I’s Knights apart from other IT professionals.

What is the Broadcom Software Knight Program?

The Broadcom Software Knights program is an invitation-only program designed to award and distinguish Broadcom partner consultants who have proven their technical expertise and who show a strong passion for Broadcom products. Broadcom describes Knights as “the most elite group of Partner Technical Professionals.” In fact, being named a Knight is the highest level of recognition that can be earned as a Broadcom partner. 

Knight Qualifications

Broadcom’s Software Knight title is bestowed on individuals who prove to be masterminds of Broadcom Software solutions. To qualify for knighthood, individuals must achieve the following:

• Proven sales and technical skills, including design, implementation, service, and/or support capabilities 
• Multiple certifications earned through a third-party exam verifying their understanding of key implementation and configuration concepts
• Show extensive sales expertise in Broadcom products and be skilled in performing proof-of-concepts
• Active participation in Broadcom Software trainings and events
• Frequent knowledge sharing with the Partner community at large

The Benefit of Working with a Broadcom Software Knight

Having an elite group of software gurus as your IT partner is a key step to effectively managing software solutions. When you work with a Knight-certified IT consultant, you’re guaranteed advanced professional support and guidance to help you architect the best technology solution for your business. Unlike other IT consultants, Knights know Broadcom software inside and out and can anticipate and plan for both present and future needs.

Meet Our Knights

A&I is extremely proud to have not one, but two, Knights on our team, both of whom hold multiple Knight certifications. Get to know our Knights below, and let us show you what working with a highly-skilled Knight can mean for your business.

Tim Higgins

Sr. Solutions Architect

Knighted in: Test Data Manager (TDM) and Application Performance Management (APM)  

Tim Higgins has been with A&I Solutions for over 11 years and has worked with software for over 30 years! Fueled by copious amounts of coffee, good music, and all things tech, Tim takes pride in utilizing his extensive IT background to support A&I’s diverse technical needs. While he has vast experience in many different software solutions, his specialty is DevOps and Monitoring products. From presales support to creating POCs and helping solve customers’ unique technical requests, Tim is always willing to lend a hand wherever he can. Working with software for 30 years has allowed Tim to understand Broadcom’s products from a business point of view as well as a developer’s.

Paul Stege

Principal Architect

Knighted in: DX NetOps and DX Unified Infrastructure Management (UIM)     

With over 20 years of experience developing and executing IT strategies, Paul Stege provides the hands-on support, technical knowledge, and forward-thinking vision to transform and simplify business processes while delivering bottom-line, measurable results. As a former CA Technologies IT executive, Paul knows technology inside and out and possesses both the technical expertise and business insight to drive better outcomes and help companies reach their strategic, long-term goals. At A&I Solutions specifically, he is the primary technical lead for our DX NetOps and DX UIM customers and has helped dozens of customers enhance their IT operations.

Achieve More Efficiency and Better Results 

Choosing to work with A&I and our insanely skilled Knights will ensure you get the most out of your technology investment. Tim, Paul, and the rest of our IT team are industry leaders who know how to leverage technology to drive success. Their long list of skills, wealth of experience, and understanding of Broadcom Software solutions are simply unmatched. 

Let us help you achieve more IT efficiency and stay ahead of the curve. Talk to one of our IT specialists to discover how we can help you achieve more.

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TDM can help streamline your testing process by providing a centralized platform for managing your test data. If you’re unfamiliar with TDM, read on for a high-level overview of the product and its benefits.

What Is Test Data Manager (TDM)?

Test Data Manager is a software solution from Broadcom Software that helps users automate test data management and speeds up the delivery of test data. It provides a centralized platform for creating, storing, managing, and securing test data. TDM offers several features and benefits that can help streamline your testing process and improve your software quality.

What Can TDM Do?

Before we dive into the benefits of TDM, let’s take a look at what it can do for you. TDM offers features that can prove helpful in:

1. Identifying Sensitive Data

TDM has a TDM Discovery and Profiling feature that’s designed for identifying and classifying sensitive data. This feature can help you identify personal identifiable information (PII) and other types of sensitive data.

But why is this feature important? Well, data privacy is a huge concern for many organizations. And with the General Data Protection Regulation (GDPR) coming into effect, it’s more important than ever to be able to identify and protect sensitive data. Breaching compliance regulations can result in heavy fines, not to mention damaging your company’s reputation.

2. Data Masking

Another way that TDM can help you protect sensitive data is through data masking. Data masking is the process of hiding or changing certain, sensitive data elements. The purpose of data masking is to helps ensure that classified test data is not accidentally leaked.

With TDM, you can mask large quantities of data within minutes using automated data profiling and clone subsets of data, ensuring sensitive data remains secure.

3. Generating Test Data

In addition to identifying and masking the sensitive data in your system, TDM can help you generate synthetic test data that adheres to compliance regulations. This is important because it allows you to test your software without using actual production data. In other words, it allows testing teams to create realistic data tailored to their specific testing and development needs

This feature is also helpful in cases where you don’t have enough data to test with. For example, you might be developing a new feature that’s only used by a small subset of your users. In this case, it might not make sense to use actual production data to test with. TDM can help you generate the necessary test data from scratch.

4. Data Virtualization

Moreover, TDM also offers data virtualization. Data virtualization is the process of creating a virtual copy of your data. Test Data Manager allows for the rapid creation of virtual copies of large test data sets whenever needed. This ensures that each tester has their own personal copy of test data, instead of being forced to share a single copy of data which can slow down the entire development process. In short, the data virtualization feature of TDM provides testing teams with continuous access to consistent virtual data and environments so that they can stay on-pace with project timelines and delivery.

5. Data Storing and Reusing

Another way that TDM can help you streamline your testing process is by storing and reusing test data. This is beneficial because it allows teams to reuse any previously generated test data and work in parallel, eliminating the need for testers to create their own data. This is also helpful in cases where you need to run the same test multiple times.

The Benefits of Test Data Manager

Now that we’ve taken a look at what TDM can do, let’s take a look at some of the benefits it can bring to your organization. Here are some of them.

Time and Cost Savings

One of the biggest benefits of TDM is that it can help you save time and money. This is because it can help you automate your testing process. By automating your testing, you can free up your team’s time so that they can focus on other tasks.

In addition, automating your testing can also help you save money. This is because you won’t need to hire as many testers. You’ll also be able to avoid the cost of manually generating data.

Improved Quality and Efficiency

Another benefit of TDM is that it can help you improve the quality of your software. This is because TDM can help you catch errors early on in the development process by ensuring you are using the right test data which reduces defect creation. TDM can also help you improve the efficiency of your testing process through its automated features. This is because you won’t need to spend as much time setting up and running tests. In fact, some users of TDM report between 90 and 95 percent reduction in the amount of time they need for the provisioning of rich, top-notch test data.

Boost Your Software Testing with TDM

There’s no doubt that test data management is a critical part of the software development process. Test Data Manager by Broadcom Software can help you save time and money, improve the quality of your software, and improve the efficiency of your testing process. If you’re not already using TDM, now is the time to start!

Schedule a demo with A&I Solutions today to see TDM in action!

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