• Our private cloud setup entails a systematic progression from assessment to optimization.

Cloud computing can be said to be a shared pool of computer system resources that are configurable and also a high level service that has the ability to be rapidly provisioned with very little effort on the management, frequently over the internet.

Cloud computing heavily relies on the sharing of resources to achieve economies of scale and coherence like that of public utility, when a third party cloud is used by an organization, it enables the organization to focus on their core business rather than spending its resources on computer infrastructure and the maintenance of the infrastructure. Cloud computing allows companies to minimize and avoid up front IT infrastructural cost. It is easily manageable and requires less maintenance as such cloud computing enables enterprise to easily get their applications up and running faster.


We Install and Configure OpSource DevOps Tools observing the following steps

  • We Install or Update Java to Version 8,

  • Install and Configure GIT ,GIT Configuration,

  • Initialize a GIT repository,

  • Add and Commit files to GIT repository,

  • Installing Maven,

  • Installing Jenkins,

  • Changing default Jenkins Port,

  • Start Jenkins Service, Stop Jenkins Service,

  • Launch Jenkins, Installing Tomcat,

  • Configure Tomcat,

  • Change the default PORT from 8080 to 9005,

  • Installing JFrog Artifactory OSS,

  • Start Artifactory, Test Artifactory,

  • Installing MySQL 5.7,Start MySQL Server,

  • Configuring MySQL,

  • Installing SonarQube,

  • Create the database and user in MySQL, Install SonarQube,

  • Configure SonarQube, Start SonarQube,

  • Test the SonarQube Installation,

  • Installing Docker,

  • Installing Ansible,

  • Configuration of Ansible

While Practitioners and academicians have not been able to develop any unique definition for the term DevOps. Computer researchers like Len Bass, Liming Zhu and Ingo Weber from Software Engineering Institute suggested a definition for DevOps as a set of practices that intends to reduce the time between committing a change to a system and the change being placed into normal production, while ensuring the quality is high.

DevOps is a methodology of developing software with information technology operations. The main goal of DevOps is to reduce the development life cycle of the system and also deliver features, updates and fixes that would align with the business objectives. The approach which DevOps uses is to include event monitoring and automation at all the steps of building the software. Since DevOps is intended to have a cross-functional mode of working it is expected to fit into several key aspect of development and delivery process like code, build, test, package, release, configure, monitor.

They are different interpretations of DevOps tool chain like

  • create,

  • monitor,

  • configure,

  • release,

  • verify,

  • package and plan.

Some categories are more important in the toolchain than others.

  • We install Amazon Redshift

  • We install the Amazon Redshift ODBC driver on computers accessing an Amazon Redshift data warehouse.

Our installation requires that the computer must have one of the following Linux distributions

  • 32- and 64-bit editions,

  • Red Hat Enterprise Linux (RHEL) 5.0/6.0/7.0,CentOS 5.0/6.0/7.0,

  • Debian 7,SUSE Linux Enterprise Server (SLES) 11,

  • 75 MB of available disk space

One of the following ODBC driver managers

  • iODBC Driver Manager 3.52.7

  • Or later, unixODBC 2.3.0 or later.

  • An Amazon Redshift master user or user account to connect to the database

Amazon Redshift is a data warehouse that is very fast and scalable and makes it easy and cost effective for you to analyze all your data across your data lake and data warehouse. Redshift delivers faster performance than any other data warehouses by using , massively parallel query execution, columnar storage on a high performance disk and machine learning, Amazon Redshift is very easy to use, it enables the user to deploy a data warehouse in a matter of minutes, it automates common administrative task to monitor, manage and scale your data warehouse thereby helping the user to be free from the complexities that arise as a result of managing on-premises data warehouses, with Amazon Redshift, data warehouse can be extended to gain unique insight that can be gotten by querying independent data silos.

Amazon Redshift can run critical mission workload for government, retail, large financial services, healthcare. Its database can be encrypted using HSM or AWS KMS. The user can isolate their clusters using Amazon Virtual Private Cloud. Redshift is compliant to PCI DSS Level 1 requirements, SOC1, SOC2 SOC3, Fed RAMP. Amazon Redshift can boast of powering the largest number of data in warehouse deployment in predictive analyses, real-time and cloud business.

  • We offer Amazon Relational Database Services (RDS)

Our fully managed database services include

  • relational databases for transactional applications,

  • non-relational databases for internet-scale applications,

  • a data warehouse for analytics,

  • an in-memory data store for caching and real-time workloads,

  • a graph database for building applications with highly connected data,

  • a time series database for measuring changes over time,

  • a ledger database to maintain a complete and verifiable record of transactions.

The AWS Database Migration Service makes it easy and cost effective to do so.

Amazon Relational Database is Services a web service that can be used to set up a relational database in the cloud, operate and scale the database. A user has various options for monitoring RDS instances; a user might choose the Standard RDS integration which requires selecting RDS on the left side of the AWS integration tile. This enables the user to receive metric about his instance as regularly as the user Cloud Watch integration allows. The user also has the option of Enhanced RDS integration which unlike Standard RDS Enhanced RDS requires additional configuration and is only available to specific engines like MySQL, PostgreSQL, Aurora and MariaDB. Enhanced RDS Integration has additional metrics but requires AWS Lambda to submit metrics to Datadog. A user also has the final option of RDS+ Native Database Integration, however it is optional and only available for engines like MySQL, SQL Server PostgreSQL, Aurora and MariaDB, to be able to match the metrics from RDS and the native integration, the user will have to use the tag on the native integration based on the identifier assigned to the RDS instance. The tag is automatically assigned to the RDS instances.



Our Exadata cloud service configuration is offered on the following system

  • Half Rack containing 4 compute nodes and 6 Exadata Storage Servers.

  • Quarter Rack containing 2 compute nodes and 3 Exadata Storage Servers.

  • Full Rack containing 8 compute nodes and 12 Exadata Storage Servers.

Our configuration equips each system with a fixed amount of memory, storage, and Network resources. However, you can choose the number of computer nodes CPU cores that are enabled. This enables the scale of an Exadata cloud service configuration to meet the requirement of specific workload only pay for the processing power required.

  • We configure and support Oracle Cloud Infrastructure

Oracle Cloud Infrastructure is a combination of the utility of public and the elasticity, with security, granular control and predictability of on-premises infrastructure to deliver cost-effective, high availability and high performance infrastructure services.

Oracle cloud infrastructure products are fast and scalable compute resources, enterprise-Grade private virtual cloud networks, it has different storage option for all mission-critical data, its data base are on demand, it posses container infrastructure for deploying resilient elastic systems, it has the ability to connect privately from your network to your cloud, it enables security at scale and cloud resource control, it maintains visibility at scale, controls cloud resources and secure access.

  • We offer Cloud Migration Service

Our cloud migration service provides

  • complete visibility and cloud auto-scaling to manage cloud cost and also accurate real-time visibility into all distributed applications:

  • Unified view of application performance and user experience

  • Insight into code dependencies and resource utilization

  • Consistent baseline of technical and business metrics

Migration is the entire process of moving an application, data and other business element to a cloud computing environment. An enterprise can perform different kinds of cloud migration, one of the most common model is to transfer application and data from a local on premises data to a public cloud, a cloud migration may also mean moving application and data from a cloud application to another cloud application better known as cloud to cloud migration, another form of migration can be moving a data or application from a cloud to a local data center which is known as uncloud.

  • On-Prem Migration to Cloud

Our on- Migration to Cloud methodology focuses on

  • low risk,

  • High-return business transformation.

Our methodology comprises of four phases:

  • Plot,

  • Scan,

  • Craft and Solve.

These phases determines the

  • scope

  • execution strategy,

  • analysis performed on the portfolio,

  • applies filters to identify appropriate deployment for each application,

  • Creates a road map with recommended steps for the cloud migration.

We use a proprietary ranking and scoring model to provide objective analysis.

Its services include

  • migration planning,

  • Cloud architecture and migration execution.

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