Undertaking a digital transformation journey is easier said than done. Efforts to transform an organization often face significant challenges, including integration of legacy platforms with modern technology stacks, the skill sets required for implementation, and an organizational structure that can communicate and embrace change. According to a 2020 study by the Boston Group, 72% of digital transformations fail, falling short of their objectives, and are often met with radical consequences after. 

With so much at stake when it comes to transforming an organization, Adecco Group’s Sabine Laute suggests that a dedicated transformation office could be a viable solution.

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We wanted to share our findings and experiences from creating our first GitHub Action. In this article, you’ll learn how to write a simple GitHub Action in Python.

Brief Overview of GitHub Actions

In 2019, GitHub released its own CI tool called GitHub Actions. According to GitHub, Actions make it easy for developers to automate tasks within the software development life cycle (SDLC). The native ecosystem integration enables projects to be automated from the moment developers commit code for deployment into production.

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In scanning the IT landscape, the call for DevOps engineers remains toward the top of many companies’ priorities. A nationwide search through various job posting sites returns literally thousands of DevOps opportunities. However, reviewing these job postings shows that the skillsets required are widely varied. In comparison, software development job descriptions and requirements tend to have a narrower focus – broadly speaking, a language and a particular framework. DevOps job descriptions and requirements range from implementing continuous integration and continuous delivery (CI/CD) processes, to building infrastructure, to configuration management, to cloud operations, to writing code in any number of languages, and so on. It’s an impressive and intimidating list. Have you considered joining the DevOps wave but have been challenged in getting a clear picture of what DevOps is or means? If so, you’re not alone.

What is DevOps?

While many organizations have DevOps teams, even within a single organization, there are likely to be multiple roles within a DevOps team. Why is that? The reason is that DevOps is a process, and various roles within a DevOps team each contribute to the process. The DevOps process is a product of the evolution of Agile development processes. With Agile, production-quality software is iteratively delivered, which drives the need to deploy software more often. The process of getting software into production needed to be streamlined, thus the DevOps movement and process was born.

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This article illustrates three scenarios that demonstrate how you can use IBM App Connect to build flows that integrate with apps. The three connectors that we will use for these scenarios are;

  1. Microsoft Azure Active Directory – a cloud-based identity and access management (IAM) solution that provides single sign-on and multi-factor authentication that helps to protect from cybersecurity attacks.
  2. Oracle E-Business Suite  – a complete set of business applications for managing and automating processes within your organization.                                                                 
  3. Salesforce Marketing Cloud – a customer relationship management platform that provides digital marketing automation and analytics software and services.

1. Using Microsoft Azure AD With IBM App Connect

You can use App Connect to perform actions on the following objects:

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This is an article from DZone’s 2022 Enterprise Application Integration Trend Report.

For more:

Read the Report

In the echo chambers of application development, we constantly hear the mantra « API-first, » but this slogan has a fundamental flaw: APIs should typically be the last choice when building a distributed application. The correct war cry ought to instead be: « APIs outside, events inside. »

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Chaos testing is a subset of chaos engineering. Think of performance testing as a subset of performance engineering. Simply put, you break things on purpose and learn how you can make your systems reliable.

Gremlin Integration with LoadRunner Professional 2022

To integrate Gremlin with LoadRunner Professional 2022, the following prerequisites are required:

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The problem this tutorial is trying to solve is the lack of a native Fivetran connector for CockroachDB. My customer has built their analytics pipeline based on Fivetran. Given there is no native integration, their next best guess was to set up a Postgres connector:

CockroachDB is PostgreSQL wire compatible, but it is not correct to assume it is 1:1. Let’s attempt to configure the connector:

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For demos, system tests, and other purposes, it is good to have a way to easily produce realistic data at scale utilizing a schema of our own choice.

Fortunately, there is a great library for Python called Faker that lets us build synthetic data for tests. With a simple loop and a Pulsar produce call, we can send messages to topics at scale.

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Mulesoft DataWeave is a simple powerful tool to transform data inside a flow. Numerous core operators and functions are already present to perform various operations such as capitalize, camelize, upper, and lower.

For string operations, there are no core functions present to resolve a wildcard. I hope the DataWeave(DWL 1.0) function below helps you to perform a requirement where you want to resolve a wildcard using a set of parameters.

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Working with data, there are several scenarios to transform data from input files using the Mule 4 connector.

There are several scenarios for files with special characters or language-based characters.

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