Cloud, development, operations, continuous delivery, data, and security.
Deep understanding of continuous delivery (CD) theory, concepts and real-world application of them.
Weigh the pros and cons of using IaaS services versus PaaS and other managed services when designing and recommending solutions.
Help unveil critical insights into an application’s inner workings and make debugging custom code much easier.
Using Infrastructure as Code (IaC) ensures that cloud objects are documented as code, version controlled, and that they can be reliably replaced using an appropriate IaC provisioning tool.
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A blockchain is a distributed database that is shared among the nodes of a computer network.
Works with technology and R&D teams for designing and building solutions to leverage cross-asset concepts and frameworks
Developing and designing the architecture and consensus protocols of a blockchain system.
Using the architecture and protocols designed by the core blockchain developer to build decentralized applications.
Increases an organization's ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes.
Committing, merging, building, testing, packaging and deploying code all come into play within the software release process.
Architect and build cloud native systems, wrangle cloud systems’ complexity, and ensure that best practices are followed when utilizing a wide variety of cloud service offerings.
Ensure that an application and the systems it runs on implement appropriate monitoring, logging and alerting solutions.
Ensure that the systems under her purview are built in a repeatable manner, using Infrastructure as Code (IaC) tools such as CloudFormation, Terraform, and Pulumi
On the IaaS (Infrastructure as a Service) side for virtual machines, once ec2 instances have been launched, their configuration and setup should be codified with a Configuration Management tool.
Many modern organizations are migrating away from the traditional deployment models of apps being pushed to VMs, and over to a containerized system landscape.
These are the things you need to have in place in order to properly operate, run, or manage production systems.
CAMS: culture, automation, measurement and sharing. Breaking down barriers between IT operations and development.
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Ensure the end product is of high quality.
Instead of planning for the whole project, it breaks down the development process in small increments completed in iterations, or short time frames. Each iteration includes all SDLC phases such that a working product is delivered at the end.
When applied to software development, specialized tasks completed in one phase need to be reviewed and verified before moving to the next phase. It is a linear and sequential approach, where phases flow downward (waterfalls) to the next.
centers on organizational change that enhances collaboration between the departments responsible for different segments of the development life cycle, such as development, quality assurance, and operations.
Software Development Life Cycle is the application of standard business practices to building software applications. It’s typically divided into six to eight steps: Planning, Requirements, Design, Build, Document, Test, Deploy, Maintain.
Here's what you can expect.
The basic stages of the software development life-cycle (SDLC) can be viewed as: Planning, Analysis, Design, Construction, Testing, Implementation, Support.