DevOps is based on the idea of improved collaboration between development and operations teams, so much so that they virtually function as a single unit working towards common goals. With this improved and collaborative culture, the definition of DevOps extends to the following principles: • Collaborative effort • End-to-end responsibility • Continuous improvement with feedback loops • Automate wherever possible

The digital landscape is constantly changing, with customer expectations evolving rapidly. To be able to not just survive but thrive in such challenging situations, DevOps has become the go-to strategy for organizations. The DevOps practices accelerate software delivery with CI/CD and enable organizations to update software at a much faster pace. Additionally, the software development life cycle contains fewer bugs and is more stable because of all the automation. DevOps practices also shift the focus from tools to people. This enables a productive and collaborative environment that reflects well at the end product.

The primary reason for improved security with DevOps is the integration of tests to continuous deployment pipelines. Since DevOps is all about small incremental changes and all of those changes undergo rigorous testing, most of the errors and bugs get filtered at an early stage resulting in a more secure end product.

Our cloud development services are comprehensive and offer support at different levels throughout the development lifecycle. The first interaction of our team with you is for analyzing the business needs where we understand your vision and formulate a wireframe of the development process. After that, we support our clients at the planning, development, and deployment levels. Apart from these levels of support, we help our clients with licensing, generating secure policies, customization of tools, and maintenance of the applications. Our team works as an extension of your organization, takes care of the app’s performance, and ensures zero downtime.

Due to the pay-per-use model of cloud computing, there are many ways to optimize costs. Starting with reducing unused instances, you can decrease the cost of computing resources. In addition, cloud providers like AWS offer the option of spot instances, reserved instances, and other such features that you can leverage to reduce the cost of computing resources. Data transfers are also a significant contributor to cloud costs which you can reduce through CDN (Content Delivery Network). Many cloud providers like AWS and Cloudflare offer CDNs for minimizing data transfer costs. Another way to optimize cloud costs is by ensuring the removal of unwanted files. Cloud architects can configure the rule of data deletion or migration between different types of storage through programming. For example, you can store active data in Azure Blob storage while programing data with frequent access errors stored in Azure Cold Blob storage. API calls are charged per object, and you can reduce the cost by using batch objects. In addition, it helps in decreasing API access costs. Another optimization that you can induce is by enabling auto-scaling of resources. With auto-scaling, you can save money on slow periods or days when there is lower traffic on your cloud apps. The cost of cloud-based applications depends on many different factors like deployment platforms, the volume of data traffic, infrastructure needs, and security measures. Any cloud application development cost will include costs like, • Storage costs:- The cost incurred by the Storage Area Network(SAN) or Network Attached Store(NAS) management and infrastructure support. • Network costs:- With the cloud, your application needs a reliable network with lower latencies, and there are costs attached to it. • Disaster recovery costs:- Most cloud services have in-built disaster recovery systems, so the cost on this aspect is low. • Datacenter costs:- It includes all the costs associated with data center operations like electricity, floor space, cooling, and others. • Platform costs:- It includes annual operating costs and environment maintenance of the application on a platform. • Software maintenance costs:- It includes annual maintenance costs for software which involve licensing, OS upgrades, and security measures. As cloud services offer a pay-per-use model, developing and deploying applications depends on the platform type. We offer cloud application development services to optimize these costs to fit your budget.

Our cloud development services are comprehensive and offer support at different levels throughout the development lifecycle. The first interaction of our team with you is for analyzing the business needs where we understand your vision and formulate a wireframe of the development process. After that, we support our clients at the planning, development, and deployment levels. Apart from these levels of support, we help our clients with licensing, generating secure policies, customization of tools, and maintenance of the applications. Our team works as an extension of your organization, takes care of the app’s performance, and ensures zero downtime.

Developed by Google, Kubernetes is managed by the best developers around the world and is built to meet the scaling needs of any organization. It eliminates infrastructure lock-in and operates on private, public, or hybrid clouds and on-premise servers. Kubernetes facilitates horizontal scaling, orchestrated rolling updates, and canary deployments making development and operations more efficient.

Cloud assessment can be the key to your success for your business if you are planning to migrate to the cloud or already on the cloud. Since each business has specific needs and goals, a generalized cloud deployment strategy won’t work the same for everyone. While it may lead to over expenditure for some, others might not be able to get the desired results. With proper cloud assessment you get a concrete idea of where the current infrastructure stands and can subsequently create the optimum blueprint for moving forward.

Serverless is an approach that allows developers to build and run applications without managing the basic infrastructure. Although the term suggests development without servers, that’s not how it works. Servers are still required, but they are taken care of by an outside partner and not the development company itself. Since the backend is handled by a third-party, developers can solely focus on the frontend development. The cloud provider is responsible for provisioning, maintaining, and scaling the servers as and when required.

Yes, startups can adopt a microservices architecture for their software development projects. For starters, it is ideal for scaling an application which can be a big plus for organizations with a growing user base. Additionally, microservices extensively leverage automation, DevOps tools and practices, and Cloud capabilities that make applications flexible and future-ready.

There is no fixed timeline for building a microservices architecture as it varies according to the needs of every organization. However, it largely depends on multiple factors such as team structure, size of the monolithic application, testing strategy, security vulnerabilities, databases, and more. A microservices architecture development company will consider these factors and accordingly plan a strategy for implementing microservices.