Top Microservices Tools | Tools For Microservices Developers |Microservices Training |Edureka Rewind

Key Takeaways

hello all this is sahiti on behalf of Ed Rea and I welcome you to this session on micros Services tools so in the session guys we'll focus on the different tools that you can use to manage your services all right so without wasting any further time let's take a look at the topics for today's session so we'll start today's session by understanding what are Microsoft services and then I'll discuss different tools used in microservices based on various parameters or you can understand as used for different stuff right for example I'll start with different operating systems using which you can build your services then I'll talk about the different programming languages you can use to build microservices once I'm done with that I'll talk about the tools for API management and testing the tools for messaging the different toolkits available in the market after that I'll talk about the different architectural Frameworks the tool for orchestrations the tools for monitoring and Fin the serverless tools so on that note let's get started with today's session so on that note let's start with the first topic for today's session that is what are microservices microservices or most commonly known as microservice architecture is an architectural style that structures an application as a collection of small autonomous Services modeled around a business domain so you can just understand microservices as small Individual Services communicating with each other around a single business Logic for for example let's say you have an e-commerce application now that e-commerce application can have different functionalities like the customers the customer details the product details and maybe what orders that you've ordered right so what you can do is when you build this e-commerce application using the microservice architecture you can divide these three functionalities into three different Services known as the customer service the product service and the order service so once you build these three services these three services will communicate with each other with the help of the messaging system that microservices have and give the user the required outputs right so if you want a detailed understanding of how microservices are built and how you can use them so you can refer to our session on microservices using springboard right since this session is completely Based On microservices Tools I'll focus on the tools more so on that note let's get into the main topic for today's session that is microservices tools now if you ask me what are microservices my answer would be really simple microservices tools are basically a collection of various tools and techn Technologies having different functionalities these tools are used in various stages of building an application and help the developer to work with ease all right so they come with basically predefined functions algorithms and a very userfriendly GUI to make sure that you know developers can build their applications in an easy manner not only this but startups to multinational companies have been using microservices in their day-to-day business activities today and to make sure that you know they can build the application in an easy way many other companies are building of new tools and Technologies right so while building an application using microservices I would not say that you know only a single tool is enough maybe I would say a couple of tools together will help you build the application in a more easy way so on that note let's look into the different tools that we can use for different purposes so starting with the first one that is operating system now one of the most important factors of building an application is setting a proper Foundation of your application so this is basically done by the operating system now Linux is one such operating system which is most commonly used in today's market to build applications with the help of Linux containers it provides a self-contained execution environment and lets you orchestrate small to big services like security networking and storage so if you ask me what are the better choices of Linux family then I would say red hat and one2 are the go-to solutions for anybody in today's market but they come with a lot of unnecessary functionalities which are not needed for microservices apart from these Linux providers have also come up with tools such as atomic red hat and ubo including lxd which is basically a container oriented hypervisor so I would say that you know you can go for any operating system that your company chooses to build an application or maybe you're comfortable with but Linux is one such operating system which is growing in today's market and helps the developers to build the applications easily now let's move forward with the next one that is programming languages now the main advantage of micros services that different languages and Technologies can be used to build different Services of the same application so what I mean by that is you know let's say you have five services in the same application now the first service can be built using python the second one can be built using Java the third one can be built using cprogramming language and so on so it basically gives the developers the freedom to choose the technology stack and build the application but the most popular programming languages used in microservices are spring Boot and elixia so talking about spring boot first spring boot basically simplifies the creation of rest based microservices with the help of spring boot Frameworks in just a few lines of code right so if you ask me the features of springboard then it provides autoc configuration to load a set of default configurations for quick start of the applications it comes with embedded Tomcat seret containers and jety to avoid the usage of War files spring boot also has an opinion to reduce the developer effort and simplifies the MAV configuration and finally it consists of a wide range of apis for monitoring and managing applications in the development side and also on the production side so springboard is one such programming language guys which is very famous in the field of microservices and you would always see that you know developers are trying to build microservices using this particular framework all right so that was about springboard next let's move forward with the next programming language that is Alexia now Alexia is a general purpose programming language which runs on the elang virtual machine now Alexia shares the same abstractions for building fall tolerant and distributed applications so if you want me to mention few features of Alexia then I would say developers can easily write the code in short fast and maintainable manner this code basically runs in isolated light read processes which can be scaled individually for example let's say you know you have five processes right and you don't want to scale the particular process but you want to scale up the other processes well you can definitely do that apart from this Alexia also makes sure that you know the application never goes down by providing the supervisors so basically these supervisors describe how different parts of the system can be restarted if something goes wrong and that is the main objective of microservices right so our main objective is basically that you know even if a particular service has gone down that doesn't mean that you know the application will go down instead the bug in that particular service has to be resolved and then the service has to be restarted and finally coming to the last feature that you know this programming language comes with its own build tools to create projects manage tasks and run the required test so Guys these were the two programming languages which are very popular in the field of microservices next in this session let's look into the different tools used for API management and testing now while you start building applications using microservices you also have to make sure that you know all the Individual Services communicate with each other using apis so each microservice can have its own API to communicate with the other servers so this is where basically the API management and testing comes into the picture where all the API pis are present in the system and must be properly managed and tested to get the desired results so if you want to know more about microservices and apis and how apis and microservices collaborate with each other you can refer to my session on microservices versus API now the top tools used in API management and testing are basically the postman and the API Fortress so starting with Postman so Postman is basically an API development suit which allows you to easily run uid driven API tests with the help of Postman the exploration of restful API resources becomes very easy so what I mean by that is that you know with the help of Postman you can basically pass HTTP request to test develop and get the required results now few features of Postman are as you can see on my screen Postman basically integrates with your software development life cycle in EAS it provides features to design apis and maintain multiple versions of API with support this tool can work for small applications to Big application and it also supports collaboration of work by allowing you to save related API endpoints into a collection now once that is done what you can do is you can go forward and share the entire collection to the other developers so Guys these are the few features of Postman next let's move forward with the next tool that is API Fortress Now API Fortress Is both an API test and health tool which automates the process of load testing Health monitoring and functional testing this tool is basically a codefree and is built around modern API architectural pattern returns and practices so if I have to mention few features of API Fortress for you then this tool is highly interoperable with any platform that you choose in your tool chain and validates apis built in API management platforms it also simplifies API test creation and execution by providing a drag and drop GUI this tool also aims to simplify the endtoend testing by providing easy generation of functional tests and also focuses to simplify the collaboration by storing the tests and reports in a collaborative environment to make sure that you know teams can validate their own apis if it satisfies the business case so Guys these were the few features of API Fortress now once you know the tools for API management and testing the next thing that comes into a micros service system is basically how these Services communicate with each other well these Services communicate with each other using the messaging system so the different tools available for messaging are aashik Kafka and rabbit mq so talking about Apache Kafka first this tool is a distributed published subscribe messaging system originally developed at LinkedIn and later on became a part of the Apache project Kafka is scalable and agile and is distributed by Design so apasa Kafka is a distributed stream processing platform which can be used for data processing or API calls so few features of Apache Kafka are as you can see on my screen Kafka has high throughput for publishing and subscribing messages to maintain stable performance this tool guarantees zero downtime and zero data loss in aik Kafka messages person on the disc as fast as possible and many applications can plug in and make use of this tool as it offers new right connectors so Guys these are the various features of gafka let's move forward with the next tool that is rabbit mq now this tool utilizes patterns to communicate between microservices and also scale applications simultaneously with the help of this tools you can basically connect microservices with each other to solve problems of various distributed systems not only this but you can also use this tool to exchange events between individual microservices now the features of rabbit mq are as you can see on my screen this tool basically offers a variety of features such as reliability delivery acknowledgements including persistence publisher confirms and higher availability by using this tool messages are routed through exchanges before arriving at the cues rabit mq comes with the Federation model and allows the servers that need to be more Loosely and unreliably connected and also supports messaging over multiple messaging protocols so Guys these were few features of rabbit mq now once you know you're done with your API management and messaging the next thing is basically that comes onto everybody's mind is toolkits what do you understand by toolkits well toolkits in layman terms is a set of tools used for a specific purpose so in microservice architecture also you can build various kinds of application using different toolkits that are available in the market so the most popular toolkits available in the market are fabric 8 and Sena so talking about fabri 8 first so fabric 8 is a platform as Service Tool which helps the developers provide configuration management system through G it is an open source tool which handles Port mapping and IP addresses complexity so this tool basically holds the responsibility to load balance services with high availability and scalability now the features of this tool are as you can see on my screen it provides a set of results to create application fasters and set up continuous delivery pipelines fabric 8 also comes with on get repository hosting this tool provides MAV repository manager promoted releases along with a mirror of central MAV repositories and provides the developer console to create build manage microservices with deep visualization in into the projects applications and environments now talking about Sena first Sena is used for building message based microservices processes and is the toolkit for nodejs so this toolkit helps you to write clean and organized code with systematic business logic of the application so a few features of senar as you can see on my screen senar provides plugins which look after the foundation of the application you do not have to worry about which database has to be used and how to structure your components with senica in senica everything is written as a command and these commands get called whenever they match a set of properties and the code that you call does not know which command is calling it so guys this was all about senica now since you've understood about toolkits also the next thing that I would like to talk about is the different architectural Frameworks so architectural framework is an important factor while building applications using microservices and the top two architectural Frameworks used are Goa and con talking about Goa first so basically Goa is an architectural framework which provides a way to build rest apis and microservices using goang with the help of this architectural framework you can design apis along with its required dependencies and this framework runs on top of the Google Cloud platform few features of go as you can see on my screen this tool also lets you generate data structures validation of code and handlers once the design of API is set it has a decoupled engine and provides plugins which can Implement custom dsls and also generate arbitrary outputs so that was about Goa guys moving on to Kong Kong is used for ready to deploy plugins for enhancing the development and deployment of microservices with the help of this tool you can leverage the container and microservices design patterns to quickly build API Centric applic ations now I've used this term microservices design patterns right so if you have to understand this term it's basically a pattern or you can say a software pattern through which a company follows based on which the application is built so if you want to know more about micros Services design pattern you can refer to my session on microservices design pattern but until then moving back to this particular session if you ask me the features of Kong then Kong provides plugins to extend and connect Services across hybrid and multicloud environments it analyzes real time data and leverages ecosystems to deploy Kong with kubernetes Kong connects with automation tools to improve efficiency and reduce errors and provides role-based access control and encrypts end to end to comply with the industry regulations so guys that was about the different architectural Frameworks present in the world of microservices now once you build an application using microservices the next thing that comes into our mind is to how to scale the application well to scale this application you have to use an orchestration system as my Services work with respect to containers and so container orchestration becomes an important aspect that has to be considered so in today's market there are various tools regarding the container orchestration for microservices but the top tools available in today's market are cuetes and sto so talking about kubernetes first kubernetes is an open- Source container management or you can understand as an orchestration tool this tool basically owns the responsibilities of container deployment scaling and descaling of containers and container load balance ing so if you ask me a few features of kubernetes and I would say kubernetes can help you to deploy and update secrets and application configuration without rebuilding your image and without exposing secrets in your stack configuration in addition to managing Services cues can also manage your batch and CI workloads thus replacing containers that fail if desired not only this but kubernetes only needs one command to scale of the containers or to scale them down whenever you're using CLI else scaling can also be done by using the kubernetes dashboard right so if you want to know about dashboard also you can refer to my session on kubernetes dashboard and finally coming to the last feature that is with kubernetes you can mount the storage system of your choice what I mean by that is that you know you can either op for a local storage or choose a public cloud provider like gcp or AWS or perhaps use a shared network storage system like NFS or iSCSI so that was about cuties guys let's move forward with the next tool that is STO now this tool supports service deployment on kubernetes so it basically provides features for manageability security and reliability to microservices communication now if you ask me how is it done well the answer is quite simple it is basically done by the service mesh technology which allows you to improve the relationships and interactions between applications and microservices so few features of Sor as you can see on my screen it performs automatic tracing monitoring and logging of the services this tool automatically secures services to manage authorization authentication and encryption of communication between Services it also controls the flow of traffic and API calls between Services conducts a range of tests and upgrades with red or black deployments and finally also applies policies and ensures that their enforce and resources are fairly distributed among the consumers so that was about sto guys now once API management is done you know messaging system is done and then you have your tools for orchestration also the next thing is to monitor your application so to monitor your application the top tools that can be used is Prometheus and log stash so talk about Prometheus first Prometheus is a monitoring tool which basically allows visualizing monitoring information and supports time based tracking for animalist patterns which have to be detected also this is an open source tool which basically gathers monitoring information so the features for Prometheus are as you can see on my screen it provides a flexible query language it comes with the distributed storage and single server nodes which are autonomous it discovers targets via service Discovery or static configuration and provides dashboarding and graphing support now talking about the next monitoring tool that is lock stash lock stash is also an open source tool through which you can check the logs this tool basically lets you stash centralize and transform data so the features of lock stash are as you can see on my screen it supports a variety of inputs Which pull in events from multitude of common sources all at the same time this tool aims to transform and prepare data regardless of its complexity it also allows you to choose your own stash and transport data and finally it is a pluggable framework consisting over 200 plugins to create and config a pipeline as you want so that was about log stash guys now finally moving on to the last part of today's session that is surus tools now these tools are a part of microservices which optimize the methodology of breaking stuff into small functions so few ser tools that are very popular are claudia. Js and AWS Lambda talking about Claudia first Claudia is a serverless tool used for deployments for AWS Lambda and API Gateway this tool automates error prone deployments and configuration tasks and also contains tools such as Claudia board Builder and Claudia API Builder so features of Claudia as you can see on my screen it lets you deploy an update using a single command it reduces the boiler plate code with the help of this tool you can also manage multiple versions and you can use standard npm packages and do not have to learn Swagger so that was about Claudia now moving forward to the last tool that is AWS Lambda AWS Lambda is basically a tool which provides infrastructur less servers for your microservices builds and the user is charged based on the paper usage rate this tool can be used in combination with the AWS API Gateway to host a rest API service and with the help of this you can serve any request made by the users so if if you ask me a few features of AWS Lambda then I would say this tool enables you to run your code in response to the events and automatically manage to dependent compute resources it lets you run the code without managing the service so it pays as you use the service and you only pay for the compute time consumed this tool scales an application automatically by running a code for each trigger and finally I would say this tool can be used to build a serverless backend for processing mobile API and web requests so guys this was all about AWS Lambda I hope you've understood all the tools that I discussed here so this was just a short introduction to all these tools so if you want a detailed understanding of many of these tools then you can refer to our Eda Channel or you can comment down in the comment section with your doubts and we'll reply to you as soon as possible until then this is all from my side today I hope you found this session informative so thank you and have a great day e e e e e e e e e e e e e e e e e