The Internet and software as a whole have changed the industry landscape dramatically. Besides just complementing the business, software has instead become a core part of the business itself. The use case of software is everywhere, from customers interacting with businesses in the form of online services to enhancing operational efficiency by changing every part of the value chain. DevOps is a revolution for how IT operations and software developers interact and collaborate. AWS DevOps services provides just the right flexible solutions that can achieve the build and delivery of products and services. DevOps evolves beyond just that and goes for the same results, but with the added benefit of speed and efficient teamwork.
Rolustech is an AWS Certified firm with growing expertise on the Cloud Application Development. We believe in DevOps as a philosophy and understand the importance of it as a way to increase collaboration between software development and IT operations. We also have the following AWS certifications in AWS Developer Associate, AWS Solutions Architect Associate and AWS Cloud Practitioner.
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Benefits of AWS with DevOps
AWS enables the automation of most of the processes with the help of machine learning and artificial intelligence. This includes manual tasks such as deployments, test workflows, configuration, and container management.
With AWS Identity and Access Management (AWS IAM), you can set permissions on who can access resources, as well as what they can do with those resources
Built with Scale in Mind
You can scale a single instance to thousands using our AWS DevOps services, this will allow you to better utilize computational power and resources.
Continuous Integration and Continuous Delivery
Continuous integration is a software development practice where any code developed is immediately stored in a central hub, where automated tests are constantly being performed. This achieves an improvement in the quality of the code, quicker bug fixes, and speeds up the process of new updates. Continuous delivery is an expansion of the same process; it allows for a testing environment for the code so that it can be implemented properly in a use case scenario.
CodePipeline tests and deploys code every time there is a slight change detected, this enables you to rapidly deliver the updates reliably when the time comes.
CodeBuild produces software packages that are ready to roll out because it compiles all source code and runs tests, all without the use of servers. Multiple builds are always being prepared on the side and it can scale with your business indefinitely.
CodeDeploy automates the code deployment process, whether on your onsite servers or your EC2 instances. Constant deployment makes it easy to quickly release new features during development and speed up the process.
CodeStar adds more control into your hand with an intuitive interface used to schedule the development and deployment of code. It takes minutes to set up so you can immediately start the process.
Infrastructure as Code
This is a DevOps practice in which infrastructure is provided and managed using software development techniques like version control. You will be able to interact with infrastructure as if it were a program itself and hence on a larger scale. This means DevOps engineers can use their existing tools to interact with them, similar to how they would with other applications. Now you can deploy them without haste, or duplicate them according to your requirements.
With AWS CloudFormation it is possible to create and manage AWS resources, update them in a manner that is understandable and use sample templates along with your own.
ith AWS OpsWorks is a Configuration Management service that uses automation. The servers are automated to be configured and managed over Amazon EC2.
Now that your infrastructure is on the cloud, it becomes much easier to manage remotely with AWS Config, making it accessible to govern and implement policies over the network. Security measures can easily be spread out over in an orderly manner.
AWS Systems Manager
This is a management service that is automated to create system images, apply updates, and collect software inventory. You can use AWS Systems Manager to maintain the software compliance of your Amazon EC2.
Monitoring and Logging
Record logs and monitor application and infrastructure performance in near real-time.
Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS. It can be used to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources.
AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. You can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors.
AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.
All point AWS Services
We have proven expertise in rendering end-to-end AWS services including Cloud application development, AWS DevOps Solutions, Support, Machine Learning and Artificial Intelligence.
AWS Solutions Architect
We are a certified AWS Solutions Architect associate.
Expansive expertise in driving digital transition through AWS DevOps services across multiple industries.
Centre of Excellence
We have a dedicated team of over 20+ certified professionals having comprehensive domain proficiencies.
Flexible Architecture Development
You can count on Rolustech to engineer a perfect infrastructure according to your businesses priority for diverse projects, ranging from a single application to an SaaS.
Q. What are some Machine Learning Examples?
Image and speech recognition, Learning associations between products, and prediction systems are all examples of Machine Learning. Industries such as Healthcare, Retail, and Transportation have been using Machine Learning algorithms for the optimization of their services.
Q. What if my business requires more than one Machine Learning Algorithm?
In that case, you can make use of an Ensemble Learning method that makes use of more than one Machine Learning algorithm.
Q. What are some use-case scenarios for Natural Language Processing (NLP)?
NLP works to organize unstructured data to perform automated tasks. Sentimental Analysis, Chatbots, and Virtual Assistants are all examples of NLP in practical use.