Here's how you can employ advanced problem solving strategies as a system developer.

Importante também é ter um plano paliativo de forma a ganhar tempo para resolu??o do problema na raiz. Muitas vezes o negócio n?o pode parar, portanto temos que contornar o caso antes da resolu??o definitiva.

When facing a problem, it's crucial to delve into all its nuances. This may involve fully understanding the requirements, identifying potential failure points, and evaluating possible solutions. Deep analysis helps avoid superficial solutions and addresses the core of the problem.

In system development, effective problem-solving is key. Understanding business needs, identifying root causes, leveraging Development stack expertise, and continuous learning are vital for delivering valuable solutions.

- Desenvolvedor de Sistemas - Anlista de Suprte em TI - Tecnico em TI ........................................................................................................................................................................................................................................................................................................................

In one of my recent projects involving the AVEVA PI system, we faced a significant performance issue impacting real-time data analysis. Instead of immediately implementing fixes, we thoroughly analyzed the problem by breaking down the system into core components: data collection, storage, and retrieval. Through this detailed decomposition, we discovered the root cause was at the data source. A primary data source feeding into the PI system had intermittent connectivity issues, causing data gaps and delays. We worked with the data source team to resolve these issues, significantly improving PI system performance and restoring real-time analysis capabilities.

When solving issues, it's not always necessary to have all the solutions. However, keep an open mind and absorb the advice. As opposed to starting from scratch, someone ought to have previously figured out the answers. Being creative is often about taking a really simple notion and turning it into something creative. straightforward and flexible.

Creativity is essential for finding innovative solutions. This involves thinking beyond conventional approaches and exploring new ideas. Developers can apply techniques such as brainstorming, rapid prototyping, and lateral thinking to generate creative and effective solutions.

I've been regularly getting articles on random subjects to collaborate on LinkedIn. So, I figured I'd join in by giving random responses and see what happens. For god's sake, what happens here?

In a project involving the AVEVA PI system, we encountered a challenge with integrating diverse data sources efficiently. Traditional methods were proving inadequate, so we decided to think creatively. Instead of relying solely on standard interfaces, we explored using custom Powershell scripts and API integrations to test data flow.

Saia da sua zona de conforto e busque solu??es inovadoras. Questione suposi??es e considere abordagens alternativas que possam n?o ser imediatamente óbvias.

Para melhorar o desenvolvimento de sistemas, podemos adotar métodos ágeis, automatiza??o de processos, arquitetura de microservi?os, tecnologias como inteligência artificial, foco em seguran?a cibernética e uma abordagem centrada no usuário. Essas estratégias ajudam a acelerar o desenvolvimento, melhorar a qualidade do software e garantir uma experiência positiva para os usuários finais.

Many system development problems require a collaborative approach. Working as a team allows leveraging a variety of skills and perspectives. Clear communication, knowledge sharing, and being open to feedback are essential elements for effective collaboration.

By fostering open communication and encouraging everyone to share their perspectives, we identified key pain points and potential solutions. The developers suggested innovative coding techniques, the system architects offered optimization strategies, and the end-users provided practical feedback on usability. This collaborative approach led to the development of a more efficient and user-friendly solution for the PI system. We were able to streamline data integration processes, reduce errors, and improve overall system performance.

Envolva-se com outros desenvolvedores e partes interessadas. A colabora??o eficaz, com escuta ativa e comunica??o aberta, pode revelar aspectos do problema que você pode ter perdido e levar a solu??es mais robustas.

There are many tools available to assist developers in problem-solving. This may include IDEs (Integrated Development Environments), debugging tools, frameworks, libraries, and more. Choosing the right tools and knowing how to use them effectively can significantly accelerate the problem-solving process.

Specific tools within the AVEVA ecosystem, such as PI Vision and PI SQL Commander, facilitated efficient data visualization and analysis. These tools enabled us to quickly validate data accuracy and system performance, ensuring that our solutions were both effective and reliable. By leveraging these tools, we were able to focus on solving the core issues with the PI system, enhancing its functionality and reliability. This approach not only streamlined our development process but also ensured high-quality outcomes for our project.

Utilize ferramentas adequadas, como IDEs e sistemas de controle de vers?o, para facilitar o processo de resolu??o de problemas. Elas ajudam a gerenciar bases de código complexas e fornecem recursos essenciais como depura??o e testes automatizados.

In a recent AVEVA PI project, we faced data latency issues impacting real-time analytics. We adopted a rapid iteration approach, focusing on quick prototypes and short testing cycles. Initially, we tweaked PI Interface configurations, adjusting scan class intervals and buffer memory, which slightly reduced latency. Next, we optimized PI Data Archive settings by increasing archive size and re-indexing, which showed noticeable improvement but didn’t fully resolve the issue. We then streamlined our PI Asset Framework (AF) structure and optimized analytics by reducing unnecessary calculations. This further reduced latency and enhanced system responsiveness.

Instead of seeking the perfect solution from the outset, it's often more effective to adopt an iterative approach. This involves developing a basic solution, testing it, obtaining feedback, and then iterating on it to continuously improve it. This rapid feedback cycle allows for adjustments as needed and speeds progress toward the final solution.

Adote um ciclo de itera??o rápida para testar e refinar suas solu??es. Prototipe rapidamente e use o feedback imediato para ajustar e melhorar seu trabalho.

Mantenha uma documenta??o detalhada do processo de resolu??o de problemas. Isso ajuda a acompanhar o progresso, fornece um registro claro das solu??es e facilita futuras melhorias ou corre??es.

I often rely on the devil's advocate method. It helps uncover weaknesses in proposed solutions. For example, when optimizing our sewing production line, I might question whether adding more machinery could actually disrupt workflow efficiency. Sure, more machinery obviously means more potential capacity, but what about the immediate impact on our operations? We'd have to rearrange everything, possibly causing bottlenecks; there's always the risk of technical glitches or compatibility issues which could lead to downtime. So, while more machinery might seem like a quick fix, we've got to weigh the potential disruptions it could bring. Embracing the devil's advocate method drives us towards smarter, more effective solutions.