Digitizing, Transforming, and Refactoring for Efficiency.
From monolith to microservices transformations, cloud native, or devsecops, CCT is your partner for success!
As the principle form of application modernization that allows you to finally organize all of your solutions around your business capabilities. In addition to making it far easier to both build and maintain apps, Monolith to Microservices Transformation improves productivity and speed, creates an essential flexibility for your organization in terms of using technologies, and increase scalability.
This is a technology used to develop applications built with services that are then packaged in containers. At that point, they can be deployed as microservices and can easily be managed on an incredibly elastic infrastructure via all of the most agile DevOps processes and continuous delivery workflows that you’ve been searching for.
This is a DoD best practice for not only rapid software development, but secure development as well. Not only does this bring with it the benefit of reduced mean-time to production, but it also also allows you to leverage advantages like fully automated risk characterization, increased deployment frequency and much, much more.
Cloud Computing has taken the world by storm. Many organizations that thought they can build their applications with their know-how and tools have now started realizing the benefits of Cloud Computing. This realization has resulted in a steep increase in the adoption of cloud technologies.
Data Analytics is the study of raw data in view of identifying trends and converting it into meaningful information that can facilitate decision making. It is highly dependent on processes and algorithms. This has lead to a convergence between data analysis and cloud computing.
The popularity of Kubernetes has made the term almost synonymous with Containers. Kubernetes are an open-source system for deploying, scaling and managing containerized applications. The open-sourced nature of Kubernetes makes it compatible with many different types of infrastructure, such as on-premise, hybrid, or public clouds.
Data Science is the superset of Data Analysis. In contrast to Analytics, Data Science focuses on analyzing large data sets for insights through techniques such as predictive analysis and machine learning. It is the broader study of data to arrive at insights regarding the unknown facets of data sets.
Our clients and CCT celebrate two decades of superior client outcomes from multi-year contract engagements. We are honored, inspired, and grateful for these long-term relationships.
Planning and implementing the latest strategies in ALM for best outcomes and high value delivery
Implementing automation as work output multiplier to increase speed, volume, and reduce errors in CI/CD pipelines
Developing secure coding solutions leveraging leading cloud platforms for compliance
Designing and implementing compelling digital transformation experience through superior design, proven strategy, and microservices technology stack to exceed expectations
Creating innovative, rapid iteration, simple to deploy, optimized time-to-market, microservices and API solutions
Implementing GRC best practices and security frameworks to consistenly identify and address risk
When you sign up for Salesforce, you can choose between service cloud and sales cloud. If you’re primarily interested in selling products and/or services, service cloud is more suited to you. Sales cloud, on the other hand, is more suited for organizations focused on opportunities, leads, and sales. Yet, a significant overlap exists between the two salesforce modules. In guide this, we’ll discuss service cloud and how it adds value
IT infrastructure disasters, such as server corruption and data center failures, can disrupt business functions. The loss of data can negatively impact a company’s bottom line. Needless to say, loss of customer data can damage the reputation of the company. According to a study of US marketers, consumers, IT personnel, and CMOs, a breach resulting in data loss can cause significant loss to a company in reputation and brand value.
One major decision that businesses of all stripes must make is whether they should opt for in-house or outsourced computer support services. To avail the best computer support service in Scottsdale, Arizona, you have to weigh the pros and cons of outsourcing vs in-house service. Here is what you need to consider. Can You Afford In-House IT Support? In-house computer support services might work for some of the biggest corporations,
Each organization is unique. This is so true that it would be an understatement to say that not all organizations are created equally. Diversity can be seen even within the same industry, even with businesses that compete with each other for the same market segment.
The software that drives your business is one of your most important assets. It should be designed in a way that allows it to rapidly adapt to changes in the business environment. The speed at which you are able to adapt to these changes depends not only on the business logic integrated into your software, but also the technology that is used, and even the methodology followed.
Gone are the days when monolithic applications ruled the world of software development. Decoupled, self-healing, cloud-enabled apps are the way forward. This new type of environment requires apps to be dynamic and component-based, but work together as a single unit. They are expected to share the same memory space, making all software built with this approach essentially self-contained.
If you’ve ever wondered how platforms like Google and Amazon show you targeted product advertisements, how Netflix and Spotify recommend content, how virtual assistants like Alexa and Siri work, or how cars drive themselves, the answer lies in some form of Artificial Intelligence (AI).
According to one recent cloud security study, the average global cost of a data breach hit $3.86 million in 2019 – up a massive 6.4% from the previous year. A lot of this has to do with how disparate and complicated computing environments have become in recent memory.
Data analysis refers to the process of analyzing data and producing insights for decision making. It has become vital for modern businesses due to the sheer amount of user and transaction data they encounter on a daily basis. Storing and processing this data becomes impossible without the right tools.
cloud enabled remote workforce, resilience to what if scenario, secure remote worker
Work culture has seen a paradigm shift in the recent past with the introduction of reliable and highly cost-effective cloud services. An increasing number of businesses are encouraging a cloud enabled remote workforce and bringing your own devices (BYOD).
The recent COVID-19 pandemic has made working remotely more of a necessity than an option. Lockdowns and social distancing have caused many offices to be deserted, but business continues as usual.
Are you wondering how this is possible?
It’s all thanks to world-class cloud service providers like Amazon Web Services. Let’s see what AWS has to offer.
We discussed Terraform as a solution for setting up AWS Landing Zones. They are secure, multi-account portals that enable customers to quickly set up workspaces for a cloud enabled remote workforce.
The ability for users to set up their working environments and accounts is essential, especially during the current COVID-19 pandemic situation. Given all the possibilities and design options available on AWS, setting up the ideal environment for your users can be time-consuming. So AWS Landing Zones come in handy in such instances by automating the set up of your environment and setting up the core accounts and resources, while taking care of the initial security baseline. Identity and Access Management (IAM), data security, logging, and much more can be automated in this manner.
The best part about AWS Landing Zones is that they deploy AWS Account Vending Machine (AVM). These are portals for creating, provisioning, and automatically configuring new remote worker accounts based on a pre-defined security baseline. It allows customers to manage user accounts and Organizational Units (OU).
AWS Landing Zones also provides additional security features like centralized logging, AWS CloudTrail for auditing, and Cross-Account Access from security accounts to user accounts.
Once you have your AWS Landing Zone(s) set up and configured, the next challenge is to create multiple server instances or workspaces for your users. Depending on the size of your organization, you may need to spin up hundreds or even thousands of virtual desktops.
Ansible’s deep support for AWS will allow you to manage all the AWS services that your users require. Whether it be virtual desktops or hundreds of server instances for their applications, Ansible playbooks will come to your rescue. Once you have described your Desktop-as-a-Service instances with Ansible, you can deploy thousands of instances with ease.
Ansible comes with close to a hundred modules for managing various AWS services and over a thousand additional modules for many operating systems and platforms. Monitoring comes built-in through Ansible Tower Cloud, and you will be able to monitor all your remote worker environments even if they were deployed outside Ansible.
Cloud Computing Technologies contributors are passionate in creating the next generation of innovative cloud-native microservices with Amazon AWS landing zones and Kubernetes for agility, efficiency, cost avoidance, and high security regulatory compliance. We truly believe in the transformative power of excellent architecture and agile collaboration to bring applications elevated beyond expectations. Strong client relationships and creative collaborations result in superior application design for data analytics. We’re excited to start a dialog, learn about your Telework objectives, and develop the platform and applications for your strategic fruition.