#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 ๐ค
#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 ๐ค
๐ฅ1
๐ธ ๐ฆ๐ผ, ๐๐ต๐ฎ๐ ๐ถ๐ ๐๐๐ฏ๐ฒ๐ฟ๐ป๐ฒ๐๐ฒ๐ (๐๐ด๐)?
Today we look into the Kubernetes system from a bird's eye view.
๐ฆ๐ผ, ๐๐ต๐ฎ๐ ๐ถ๐ ๐๐๐ฏ๐ฒ๐ฟ๐ป๐ฒ๐๐ฒ๐ (๐๐ด๐)?
โ๏ธIt 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:
๐ตControl plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live.
๐ฃWorker 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.
๐ฆ๐ผ, ๐๐ต๐ฎ๐ ๐ถ๐ ๐๐๐ฏ๐ฒ๐ฟ๐ป๐ฒ๐๐ฒ๐ (๐๐ด๐)?
โ๏ธIt 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:
๐ตControl plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live.
๐ฃWorker nodes - this is where containers are scheduled and run.
#devops #kubernetes #infrastructure
๐ฅ1
What Is Microservices Architecture?
A microservice-based architecture is a modern approach to software development that breaks down complex applications โ sometimes called monolithic applications โ 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 donโt 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 โ sometimes called monolithic applications โ 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 donโt 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
๐ฅ3
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
๐2
Essential Components of a Production Web Application.
1 - It all starts with CI/CD pipelines that deploy code to the server instances.
2 - The user requests originate from the web browser. After DNS resolution, the requests reach the app servers.
3 - Load balancers and reverse proxies (such as Nginx & HAProxy) distribute user requests evenly across the web application servers.
4 - The requests can also be served by a Content Delivery Network (CDN).
5 - The web app communicates with backend services via APIs.
6 - The backend services interact with database servers or distributed caches to provide the data.
7 - Resource-intensive and long-running tasks are sent to job workers using a job queue.
8 - The full-text search service supports the search functionality.
9 - Monitoring tools (such as Sentry, Grafana, and Prometheus) store logs and help analyze data to ensure everything works fine.
10 - In case of issues, alerting services notify developers through platforms like Slack for quick resolution.
1 - It all starts with CI/CD pipelines that deploy code to the server instances.
2 - The user requests originate from the web browser. After DNS resolution, the requests reach the app servers.
3 - Load balancers and reverse proxies (such as Nginx & HAProxy) distribute user requests evenly across the web application servers.
4 - The requests can also be served by a Content Delivery Network (CDN).
5 - The web app communicates with backend services via APIs.
6 - The backend services interact with database servers or distributed caches to provide the data.
7 - Resource-intensive and long-running tasks are sent to job workers using a job queue.
8 - The full-text search service supports the search functionality.
9 - Monitoring tools (such as Sentry, Grafana, and Prometheus) store logs and help analyze data to ensure everything works fine.
10 - In case of issues, alerting services notify developers through platforms like Slack for quick resolution.
๐ฅ3
Karpenter is the best assistant with questions on capacity and allocation of power for workloads! If you use amazon web services and eks (kubernetes) there, then it is better to take a closer look at karpenter, since in the future he will greatly minimize operating costs from your project.
#aws #eks #infrastructure
https://opsguru.io/post/karpenter
#aws #eks #infrastructure
https://opsguru.io/post/karpenter
opsguru.io
Karpenter - A New Way to Manage Kubernetes Node Groups
Learn about AWS' recently released Karpenter and how it will bring a more native approach to managing your cluster nodes.
๐2
Introduction to Systems Design
#SystemsDesign #DevOps
#infrastructure #Architecture
https://www.youtube.com/watch?v=F2FmTdLtb_4
#SystemsDesign #DevOps
#infrastructure #Architecture
https://www.youtube.com/watch?v=F2FmTdLtb_4
YouTube
System Design Concepts Course and Interview Prep
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies. You will learn the core concepts you need to know for a system designsโฆ
๐3
How Container Networking Works
When you need to understand a complex piece of tech, creating a toy version of it can be an efficient learning trick ๐
That's exactly how I mastered container networking - by creating a Docker bridge network from scratch.
And with this interactive tutorial, you can get such experience ๐ https://labs.iximiuz.com/tutorials/container-networking-from-scratch
#Container #Networking
#infrastructure
When you need to understand a complex piece of tech, creating a toy version of it can be an efficient learning trick ๐
That's exactly how I mastered container networking - by creating a Docker bridge network from scratch.
And with this interactive tutorial, you can get such experience ๐ https://labs.iximiuz.com/tutorials/container-networking-from-scratch
#Container #Networking
#infrastructure
๐3
An article about the most important alerts for Karpenter
https://www.perfectscale.io/blog/karpenter-monitoring-with-prometheus
#monitoring #infrastructure
#aws #DevOps
https://www.perfectscale.io/blog/karpenter-monitoring-with-prometheus
#monitoring #infrastructure
#aws #DevOps
www.perfectscale.io
Karpenter Monitoring with Prometheus
Optimize Kubernetes autoscaling processes and strengthen your infrastructure with a powerful guide for monitoring Karpenter with Prometheus.
๐3
A picture is worth a thousand words: 9 best practices for developing microservices.
When we develop microservices, we need to follow the following best practices:
1. Use separate data storage for each microservice
2. Keep code at a similar level of maturity
3. Separate build for each microservice
4. Assign each microservice with a single responsibility
5. Deploy into containers
6. Design stateless services
7. Adopt domain-driven design
8. Design micro frontend
9. Orchestrating microservices
#microservices #architecture
#application
When we develop microservices, we need to follow the following best practices:
1. Use separate data storage for each microservice
2. Keep code at a similar level of maturity
3. Separate build for each microservice
4. Assign each microservice with a single responsibility
5. Deploy into containers
6. Design stateless services
7. Adopt domain-driven design
8. Design micro frontend
9. Orchestrating microservices
#microservices #architecture
#application
๐2
Think like an architect: a mental model for designing your softwares
๐What You'll Learn:
- How to transition your architectural knowledge to serverless
- The importance of modularity in serverless design and how to implement it
- A step-by-step example of moving from business requirements to a high-level architecture, and finally to a detailed serverless architecture
#microservices #architecture
#application #CloudComputing
#DevOps #CloudArchitect #ArchitecturePatterns
#AWSServices #CloudSolutions
๐งฉpart1
https://www.youtube.com/watch?v=9gEtY4Pb_8g
๐งฉpart2
https://www.youtube.com/watch?v=Gp_Cmv1Tams
๐What You'll Learn:
- How to transition your architectural knowledge to serverless
- The importance of modularity in serverless design and how to implement it
- A step-by-step example of moving from business requirements to a high-level architecture, and finally to a detailed serverless architecture
#microservices #architecture
#application #CloudComputing
#DevOps #CloudArchitect #ArchitecturePatterns
#AWSServices #CloudSolutions
๐งฉpart1
https://www.youtube.com/watch?v=9gEtY4Pb_8g
๐งฉpart2
https://www.youtube.com/watch?v=Gp_Cmv1Tams
YouTube
Think like an architect: a mental model for designing your softwares - Part ONE
In this two-part video series, Raj and Luca break down the essential mental models for transforming business requirements into cutting-edge cloud architectures.
In Part 1, we dive into Kubernetes and containers, showing you how to think like an architectโฆ
In Part 1, we dive into Kubernetes and containers, showing you how to think like an architectโฆ
๐2