We architect and provision new cloud infrastructure foundations, either through migration or first cloud development. We prioritize modern cloud concepts in our design, including:
Microservices: a systems architecture where a software system is decoupled into single function, and ideally stateless services. Microservices enable parallel workstreams and deployment, fault isolation, and easier scaling and third-party integration.
Multi-cloud: an architecture that leverages more than one cloud platform provider (ex. Google, AWS, or Azure). Using more than one provider allows for cost efficiencies and product differentiation, provides redundancy for provider outages and prevents customer lock-in.
Containers: a packaging mechanism that allows apps to be "containerized" so that they can run the same in any environment (ex. public cloud, local, development). Containers virtualize CPU, memory, storage, and network resources at the OS-level.
Serverless: an architecture that leverages services such PaaS and FaaS, technologies that abstract out the server and configuration of its hardware, OS, and logic. Serverless allows your developers to focus on the app programming and reduces your operations cost and complexity.
We work with businesses to optimize their existing architecture. The metrics that drive cloud optimization include cloud spend, hardware performance, and software delivery performance. To optimize your cloud, we look to the following:
Right-sizing: Optimize a cloud product's configuration according to product usage, usage patterns, or seasonality, or take advantage of new configuration opportunities.
Consolidation: Identify resources that are candidates for sharing amongst existing services or migrating and consolidating two resources to a more appropriate product.
Re-architecting or Re-factoring: Some examples include moving services to different cloud products, re-organizing the architecture, using multi-cloud, or re-factoring application code to be compatible with more appropriate cloud products.
Regionality: Review SLAs and performance requirements such as latency, in order to find opportunities to migrate services to more cost effective regions while adhering to the prescribed level of service.
We help businesses improve their software delivery performance by developing automated deployment pipelines that incorporate modern technical best practices including version control, continuous integration, continuous testing, deployment monitoring and observability, trunk based development, and database migrations. Modern deployment automation solves challenges in software deployment including:
Frequency of Software Releases: Completely automate deployment allows development teams to deploy dozens of software updates to production per day through on-demand deployment.
Lead Time for Releases: Automated pipelines assess and mitigate risks associated with software releases. They automate the steps in the release process that are monotonous and low skill. Elite development teams release changes in under an hour using this technology.
Downtime: Companies achieve elite software delivery performance by using automation to prevent downtime. It is this same deployment automation enabling them to restore service after an incident, in under an hour.
Issue reversal: When bugs in releases do occur, hotfixes are deployed much quicker and rollbacks can occur almost instantly.