Knowledge base

Process automation Automated testing Shared topics

TESTTO AUTOMATE

Process automation

For teams automating processes: orchestrating Python robots, managing existing scripts and building new ones.

Orchestrating Python automations: the queue, agents and schedules

What Python automation orchestration is, and how to get a fleet of robots under control: a central task queue, parallel agents, schedules and triggers. Patterns, pitfalls and practice.

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Managing automations

How to tame existing Python scripts and turn them into managed robots

Does your company run dozens of unsupervised Python scripts? Here is how to inventory them and bring them under monitoring, permissions and scheduling — without rewriting anything. The hard part is not the pilot; it is maintenance and scale.

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Building automations

New Python automations: from idea to robot (no code required)

How to build new process automations efficiently: recording steps in the browser (no-code), generating Python code and growing your robots. And why Python is a safe technology bet.

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TESTTO QA

Automated testing

For QA teams and developers: web app testing without coding, regression, end-to-end and CI/CD integration.

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No-code testing

Automated web app testing without coding: where to start

A practical start with automated web application testing without writing code: recording scenarios, test cases, data and reports. And why early testing pays off so heavily.

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CI/CD

Automated tests in CI/CD: quality wired into the pipeline

How to wire automated tests into CI/CD (Jenkins, GitHub, GitLab, Bitbucket) so you catch regressions on every change. Shift-left, the test queue, parallelism and the cost of late defects.

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Types of tests

Regression and end-to-end testing: how not to miss defects on every change

How functional, regression and end-to-end tests differ, when to use each, and how to build sensible coverage of your web application's key paths without growing the suite beyond what you can maintain.

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GENERAL

Shared topics

Automation with AI and on-premise security — topics that matter in both areas.

Automation and AI

Automation and AI: how to combine robots and tests with language models

How to integrate automations and tests with AI (language models): reading documents, classification, decisions in a process, generating test cases. Patterns, risks and the on-premise approach. With data from WQR 2024.

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Security

On-premise vs cloud in automation: where your data really goes

Comparing on-premise and cloud automation on data security, compliance (GDPR) and control. Hard data from IBM's Cost of a Data Breach 2024, and when on-premise has the edge.

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