AWS DevOps Consulting Services
Streamline your production pipeline with DevOps best practices and automation in AWS.
Innovate for Your Customers More Quickly and Effectively
Get expert AWS DevOps support to automate your deployment processes and leverage the full AWS technology stack to help you develop your applications quickly and reliably.
With Mission’s AWS DevOps consulting services, you’ll get a team of cloud solutions architects and DevOps engineers with proven experience in thousands of AWS DevOps projects implementing infrastructure and automation to successfully design, build and manage your AWS environment.
Discover the Benefits of DevOps and AWS With Mission
Rapid Delivery
Increase the frequency of your release cadence and improve your product rapidly. Get new features out and fix bugs faster, staying responsive to your customers’ needs and able to scale to meet their demand.
Improved Collaboration
Our agile delivery framework, Mission Cloud Engage, gives you increased oversight into our work. Developers and operations teams share responsibilities and workflows, staying flexible and on-time for your objectives.
Reliability
Ensure the reproducibility, security, and quality of updates to your codebases and AWS infrastructure so you can deliver faster and without risking service unavailability or downtime.
Security
Retain the control and auditability of your AWS cloud operations. Use automated compliance policies, fine-grained access controls, and configuration management techniques to maximize security.
Scale
Operate and manage your AWS infrastructure while minimizing manual intervention. Keep your systems running efficiently and reduce the risks that come with unexpected traffic or outages.
Partner With Experts to Leverage DevOps Best Practices
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Continuous Integration and Continuous Delivery (CI/CD)
Continuous integration and continuous delivery are practices that automate the software release process, from build to deploy. We can adapt to your tooling or suggest options that best fit your approach, ensuring that each change you make to your codebase is functional and safe while avoiding regressions.
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Infrastructure as Code (IaC)
Infrastructure as code helps you manage your development, testing, and production environments in a repeatable and efficient manner. We can design your AWS infrastructure as code and policy as code templates to help you define your environment and access controls, track your compliance and improve your security posture.
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Observability
We monitor metrics and logs to see how application and infrastructure performance impacts your user experience. When services must be available 24/7, active monitoring is critical, and update frequency increases. We design and tune alerting and perform real-time analysis of this data so you see everything you need to know about your performance—and nothing you don’t.
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Disaster Recovery
Ensure your business can quickly resume operations without lengthy service interruptions or data loss. We develop an AWS infrastructure strategy tailored to your Recovery Time Objective (RTO) and Recovery Point Objective (RPO), help you benchmark your performance and design runbooks to guide your recovery, so you have the availability and data durability you need for any incident.
“Mission ensured the migration of our environment would be a success by listening upfront to our challenges and proactively offering choices on how to solve any issues. They also communicated constantly with our internal team and helped us project the amount of time the project would take. We continue to meet with the Mission team regularly to discuss our DevOps process, and they frequently identify ways we can accelerate the rollout of new application services.”
What are the key ingredients of a good DevOps strategy?
The simple answer is: design your systems in such a way that you stay out of your own way. Any part of your system which needs a lot of manual effort or is introducing friction to your development team can indicate some DevOps trouble. Conversely, as your DevOps proficiency grows, what you’ll find is that many previous complexities in your environment are now automated away, and you can be more agile in how you make changes and experiment with new ideas. You’ll spend less time fixing things when they break or slowing down to accommodate processes standing between you and deployment.
Isn’t it true that not all DevOps practices or tools are good for all applications? How do you know which ones to adopt?
Absolutely! DevOps practices and tools are not universally applicable to every situation or type of application. Knowing your own internal expertise can be critical, for example, as adopting a sophisticated process can slow you down unless you’ve built up some familiarity and understanding with it first. Sometimes it’s also a matter of timing: for smaller projects, a full-fledged container orchestration strategy might be overkill. But as you scale, DevOps best practices like these become critical to development velocity.
How do I measure the success of a DevOps initiative?
Is it necessary to use microservices when adopting DevOps practices?
No, while microservices can complement DevOps practices by making deploying and scaling more manageable, DevOps can be implemented with monolithic architectures too. You don’t have to have a microservices architecture in order to reap the benefits of DevOps best practices. With DevOps, the key is improving collaboration, automation, and feedback loops, and there are lots of ways to develop that while having monolithic applications.
How can I ensure security in our DevOps processes?
Incorporate security from the beginning through a practice called DevSecOps. Wherever you can, use automated security scans, code reviews, and regular audits to stay up to date on your security posture. It’s also important to educate your team about secure coding practices and ensure that security is a consideration in every phase of the development lifecycle. Be aware of your software dependencies as well—remember that the code you write is just as critical as the code it depends on.
Our deployments are still manual. How can we automate them?
Start by setting up a Continuous Integration (CI) process. Once that's stable, move towards Continuous Deployment (CD) using automation tools like Jenkins, GitLab CI/CD, or others. Automate each part of your pipeline to ensure that software releases are reliable and need minimal intervention to test and deploy.
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