Testing system functionality is a crucial step in software development and engineering processes.
It ensures that a system or software application performs as expected, meets user requirements, and operates reliably.
Here we delve into the best ways:
1.Unit Testing: Ensures individual code components work correctly in isolation.
2.Integration Testing: Verifies that different system parts function seamlessly together.
3. System Testing: Assesses the entire system's compliance with user requirements and performance.
4. Load Testing: Tests a system's ability to handle high workloads and identifies performance issues.
5. Error Testing: Evaluates how the software handles invalid inputs and error conditions.
6. Test Automation: Automates test case execution for efficiency, repeatability, and error reduction.
It ensures that a system or software application performs as expected, meets user requirements, and operates reliably.
Here we delve into the best ways:
1.Unit Testing: Ensures individual code components work correctly in isolation.
2.Integration Testing: Verifies that different system parts function seamlessly together.
3. System Testing: Assesses the entire system's compliance with user requirements and performance.
4. Load Testing: Tests a system's ability to handle high workloads and identifies performance issues.
5. Error Testing: Evaluates how the software handles invalid inputs and error conditions.
6. Test Automation: Automates test case execution for efficiency, repeatability, and error reduction.
#DevOps #Engineer: I automate everything and keep the systems running smoothly.
#Platform #Engineer: I build and maintain the infrastructure that powers everything.
What the hiring team sees in both cases: Server man
The confusion is sadly real.
This matrix may help to understand the basic boundaries 🤓
#Platform #Engineer: I build and maintain the infrastructure that powers everything.
What the hiring team sees in both cases: Server man
The confusion is sadly real.
This matrix may help to understand the basic boundaries 🤓
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🐸 𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 (𝗞𝟴𝘀)?
Today we look into the Kubernetes system from a bird's eye view.
𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 (𝗞𝟴𝘀)?
☀️It is a container orchestrator that performs the scheduling, running and recovery of your containerised applications in a horizontally scalable and self-healing way.
Kubernetes architecture consists of two main logical groups:
🔵Control plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live.
🟣Worker nodes - this is where containers are scheduled and run.
#devops #kubernetes #infrastructure
Today we look into the Kubernetes system from a bird's eye view.
𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 (𝗞𝟴𝘀)?
☀️It is a container orchestrator that performs the scheduling, running and recovery of your containerised applications in a horizontally scalable and self-healing way.
Kubernetes architecture consists of two main logical groups:
🔵Control plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live.
🟣Worker nodes - this is where containers are scheduled and run.
#devops #kubernetes #infrastructure
🔥1
What Is Microservices Architecture?
A microservice-based architecture is a modern approach to software development that breaks down complex applications — sometimes called monolithic applications — into smaller components that are independent of each other and more manageable. The approach has gained popularity because of the advantages it brings to agile software development and application security.
Microservices don’t reduce complexity, but they make any complexity visible and more manageable by separating tasks into smaller processes that function independently of each other and contribute to the overall whole.
Adopting microservices often goes hand in hand with DevOps, since they are the basis for continuous delivery practices that allow teams to adapt quickly to user requirements.
#App #Architecture #DevOps
A microservice-based architecture is a modern approach to software development that breaks down complex applications — sometimes called monolithic applications — into smaller components that are independent of each other and more manageable. The approach has gained popularity because of the advantages it brings to agile software development and application security.
Microservices don’t reduce complexity, but they make any complexity visible and more manageable by separating tasks into smaller processes that function independently of each other and contribute to the overall whole.
Adopting microservices often goes hand in hand with DevOps, since they are the basis for continuous delivery practices that allow teams to adapt quickly to user requirements.
#App #Architecture #DevOps
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Essential Components of a Production Microservice Application
1 - API Gateway
It handles routing, filtering, and load balancing.
2 - Service Registry
The service registry contains the details of all the services.
3 - Service Layer
can run on multiple instances.
4 - Authorization Server
Used to secure the microservices
5 - Data Storage
can store application data generated by the services.
6 - Distributed Caching
Caching is a great approach for boosting the application performance.
7 - Async Microservices Communication
to support async communication between microservices.
8 - Metrics Visualization
Microservices can be configured to publish metrics to Prometheus or use Grafana Alloy for publish metrics to Grafana Mimir and Grafana for visualization.
9 - Log Aggregation and Visualization
Logs generated by the services are aggregated using Logstash or Grafana Alloy , stored in Elasticsearch or Grafana Loki, and visualized with Kibana or Grafana.
#Architecture #DevOps #PlatformEngeeniring #infra
1 - API Gateway
It handles routing, filtering, and load balancing.
2 - Service Registry
The service registry contains the details of all the services.
3 - Service Layer
can run on multiple instances.
4 - Authorization Server
Used to secure the microservices
5 - Data Storage
can store application data generated by the services.
6 - Distributed Caching
Caching is a great approach for boosting the application performance.
7 - Async Microservices Communication
to support async communication between microservices.
8 - Metrics Visualization
Microservices can be configured to publish metrics to Prometheus or use Grafana Alloy for publish metrics to Grafana Mimir and Grafana for visualization.
9 - Log Aggregation and Visualization
Logs generated by the services are aggregated using Logstash or Grafana Alloy , stored in Elasticsearch or Grafana Loki, and visualized with Kibana or Grafana.
#Architecture #DevOps #PlatformEngeeniring #infra
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