Unlocking the Power of Microservices: 5 Essential Insights and Challenges 🔥 🔥 🔥
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Unlocking the Power of Microservices.
Unlocking the Power of Microservices. 5 Essential Insights and Challenges
Top 5 Things You Should Know About Microservices. Top 5 challenges of Microservices
Hello and welcome back to my youtube channel. I am Amar Kumar .
In this video, we are going to talk about 5 things, you all should know about Microservices, before you adopt Microservices architecture. And if you are already into microservices, not an issue; these 5 things would ensure you that your microservices are running optimally. As you all agree, Everyone talks about the microservices these days, and seems like monolithic architectures are slowly fading away. microservices separates the application into multiple modules, and those can be deployed separately to adhere a design principle called separation of concerns.
Proactive Monitoring of Microservices, monitoring of any microservices are typically more complicated than monolithic application. This really leads to problems, especially, when you are integrating multiple services running under heterogenous technologies; other monitoring problems could be, those services running in multiple containers, across multiple regions and even running on different clouds. For that, as part of the solutions, you have to configure centralized monitoring tools and processes, that can proactively monitor all the services. You can use Prometheus integrated with your orchestration platform and use various metrics to get the services health status. You can even integrate spring cloud actuator to get the services health details and provide to Prometheus for further metrics analysis, and use Grafana for visualizing these metrics.
Our second challenge is Centralized Logging, When we use microservices, our logs become more distributed. To complete one business transaction, it may pass thru multiple services, and all these services may have their own logging framework.To solve this challenge, you would need centralized logging framework, that will to pull all the logs, thru logs streaming, to centralized location. And one more important thing is, you also need to contextualize your logs by adding key values, like date and time, service and function names, IP address of server and client request, browser user-agent and HTTP codes excetra. Now let’s talk about the solution, you can implement the centralized logging thru ELK stack. In ELK stack, You can collect the logs from multiple services thru log shipper, for example log stash, fluent D excetra; then dump the log into elastic search and use Kibana to visualize those logs.
Our third challenge is, Debugging problems in microservices, Debugging and finding root cause in microservices is again tedious and complicated as compare to monolithic architecture. We all need to agree that, centralized logging is just not enough to debug every issues; you would also need a tracing capability to find the root cause of the problem. Distributed tracing enable users to track a request through a system that is distributed across multiple services. You can configure open source tool like Zipkin, or Jaeger or any similar tools available in the marketplace.
Let’s come to our fourth Challenge, and this is, Continuous Delivery through DevOps Culture, In a microservice architecture, firstly, the number of deployment units and even the release cycles are always going to be high as compare to monolithic architecture. Secondly, If you don’t organize this deployment solution rightly; deployment of one service can break another service. This can lead to unexpected instability of the application. To solves this challenge, organization need to adopt a well-defined DevOps process and also requires Continuous Integration and Continuous Delivery orchestration platform such as Jenkins, Bamboo, GitLab CI, TeamCity etc. You may also need containerized orchestration tools like Kubernetes, Docker Compose, Swarm etc. And if you are into building infrastructure as a code automation, you may also need tools like Chef, puppet, ansible etc.
Now let’s move to our fifth challenge, and this is, Build a cross-functional team culture for successful microservices delivery, If you look at the industry trends now a days, more enterprises are adopting microservices architecture because of its rapid delivery model. One way to generate higher value in software is, to deliver it more rapidly, enabling faster feedback from customers. Faster delivery cycles put software improvements back in the hands of customers. Which invariably cuts down the market competitions and improves the business opportunities. In order to deliver software faster, software must be built as independent services that can be integrated together to form an application eco-system; if you look at the microservices architectural principles, you will get it what I am saying.
spring Boot Microservices
Mastering Microservices: Building App...
#techefx #microservicesArchitecture
Top 5 Things You Should Know About Microservices. Top 5 challenges of Microservices
Hello and welcome back to my youtube channel. I am Amar Kumar .
In this video, we are going to talk about 5 things, you all should know about Microservices, before you adopt Microservices architecture. And if you are already into microservices, not an issue; these 5 things would ensure you that your microservices are running optimally. As you all agree, Everyone talks about the microservices these days, and seems like monolithic architectures are slowly fading away. microservices separates the application into multiple modules, and those can be deployed separately to adhere a design principle called separation of concerns.
Proactive Monitoring of Microservices, monitoring of any microservices are typically more complicated than monolithic application. This really leads to problems, especially, when you are integrating multiple services running under heterogenous technologies; other monitoring problems could be, those services running in multiple containers, across multiple regions and even running on different clouds. For that, as part of the solutions, you have to configure centralized monitoring tools and processes, that can proactively monitor all the services. You can use Prometheus integrated with your orchestration platform and use various metrics to get the services health status. You can even integrate spring cloud actuator to get the services health details and provide to Prometheus for further metrics analysis, and use Grafana for visualizing these metrics.
Our second challenge is Centralized Logging, When we use microservices, our logs become more distributed. To complete one business transaction, it may pass thru multiple services, and all these services may have their own logging framework.To solve this challenge, you would need centralized logging framework, that will to pull all the logs, thru logs streaming, to centralized location. And one more important thing is, you also need to contextualize your logs by adding key values, like date and time, service and function names, IP address of server and client request, browser user-agent and HTTP codes excetra. Now let’s talk about the solution, you can implement the centralized logging thru ELK stack. In ELK stack, You can collect the logs from multiple services thru log shipper, for example log stash, fluent D excetra; then dump the log into elastic search and use Kibana to visualize those logs.
Our third challenge is, Debugging problems in microservices, Debugging and finding root cause in microservices is again tedious and complicated as compare to monolithic architecture. We all need to agree that, centralized logging is just not enough to debug every issues; you would also need a tracing capability to find the root cause of the problem. Distributed tracing enable users to track a request through a system that is distributed across multiple services. You can configure open source tool like Zipkin, or Jaeger or any similar tools available in the marketplace.
Let’s come to our fourth Challenge, and this is, Continuous Delivery through DevOps Culture, In a microservice architecture, firstly, the number of deployment units and even the release cycles are always going to be high as compare to monolithic architecture. Secondly, If you don’t organize this deployment solution rightly; deployment of one service can break another service. This can lead to unexpected instability of the application. To solves this challenge, organization need to adopt a well-defined DevOps process and also requires Continuous Integration and Continuous Delivery orchestration platform such as Jenkins, Bamboo, GitLab CI, TeamCity etc. You may also need containerized orchestration tools like Kubernetes, Docker Compose, Swarm etc. And if you are into building infrastructure as a code automation, you may also need tools like Chef, puppet, ansible etc.
Now let’s move to our fifth challenge, and this is, Build a cross-functional team culture for successful microservices delivery, If you look at the industry trends now a days, more enterprises are adopting microservices architecture because of its rapid delivery model. One way to generate higher value in software is, to deliver it more rapidly, enabling faster feedback from customers. Faster delivery cycles put software improvements back in the hands of customers. Which invariably cuts down the market competitions and improves the business opportunities. In order to deliver software faster, software must be built as independent services that can be integrated together to form an application eco-system; if you look at the microservices architectural principles, you will get it what I am saying.
spring Boot Microservices
Mastering Microservices: Building App...
#techefx #microservicesArchitecture
4 سال پیش
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