Case studies

Because our clients trust us to help develop strategies that give them a competitive advantage, we sometimes can't share our work publicly. If you're curious about a specific sector or area of expertise, contact us to learn more.

AZURE CLOUD MIGRATION

Cloud Migration is a process of moving data, files and relevant configuration from on–premises computing to a cloud computing environment..Whether it is transitioning from local database to the cloud or from one cloud provider to another, Cloud Migration through Azure allow organizations to run their platforms in a cloud enabled environment. By migrating to Azure, not only originations have access to a high-quality infrastructure offered but also unlimited computing, storage capacity along with enterprise- grade security.

Azure Cloud Migration has a set of unique services developed to benefit organization with cloud migrations. For example, the Azure Migrate service, a cloud migration service offered by Microsoft help enterprises or organization to create, deploy or assess their workloads through a global network. With Azure Migrate , organisation get to learn about all their resources running within azure data center.

Another service offered by Azure is Azure Data Box – is an offline data transfer service. The Data Box offers different storage products of a variety of storage capacities in order to send huge Terabytes (TB) of data to Azure. That too in a very fast and responsive manner without being expensive and secure in every possible way. In order to help organizations ,Microsoft carry a shipping process and ship client’s data copied on MS data box storage devices to their data centers for enabling offline data transfers.

Benefits of Azure Cloud Migration?

  • It is inexpensive and organizations pay for only what they use.
  • Azure Cloud will give the ability to scale resources up and down as per work load. It will also reduce cost of maintenance as Microsoft take care of Physical infrastructures of servers and staffs /processes to deploy, build and maintain your infrastructure/servers.
  • Azure Cloud Migration offer you easy accessibility. Organizations can have access to their data on the cloud at any time and from any location around the globe through internet securely.
  • The data centre for Microsoft Azure is highly secure, geo replicated and multi region to keep data safe from natural disasters. As benefit of using the cloud service organization’s data can be stored within multiple storage options, around multiple data centers and on separate physical data center spanning across globe for easy disaster recovery.
  • Azure Cloud also offers Azure Data Lake Analytics, DataBricks, Cloud data warehouse a distributed, cloud-based data processing architecture that is used to help quantify Azure Data Lake. It can processes scraped web data for analysis, implement image processing intelligence to process unstructured data and much more.

The possibilities are unlimited with Azure cloud so why not switch today?

Azure Databricks Development

Microsoft Azure Data-bricks is a collaborative Spark-based platform designed to easily manage big data and artificial intelligence. Using the Microsoft cloud service, organizations are able to place other Azure users in a position to access the information on a single platform so that they can process it and retrieve valuable analytics. As a consultancy firm, we help organizations in implementing the MS Azure Data-bricks to enable them to streamline workflows. The Azure Data Factory ingests raw or structured big data into Azure in batches. Azure Data-bricks is all about collaboration, productivity and managing data. The analytics engine for big data uses other Azure services such as SQL, machine learning, streaming and graph processing. The biggest benefit of utilizing Azure Data-bricks for organizations is that it helps achieve faster time-to-value.

The main aim of our service delivery as a consultancy firm is to provide an explanation of how organizations can consistently produce data science using Azure Data-bricks. Large amounts of data that are produced by web applications, HTTP logs or internet of things devices has been a trending topic in the IT industry for a long time now but there have been several methods of managing this issue such as batch processing and spark streaming for real time processing.

Batch processing involves processing chunks of data that have already been stored over a certain period of time. Apache spark is currently the best f ramework whose main goal is to perform fast distributed computing on big data by applying in-memory primitives. Most financial institutions use Spark batch processing in order to process all the financial transactions done within a specific period of time as it allows user programs to enter data i nto memory for future reference which makes it the most preferred tool for online and iterative processing. It helps organizations in keeping millions of data records, processing files that the organization would want to do which will obviously take long to process depending on the data size. Spark batch processing is more effective in scenarios where real-time analytic results are not necessarily required, when the data to be processed is in large amounts and when more detailed insights are required regardless of fast analytics results

Stream processing allows organizations to process data as they are acquired in real time and detects conditions within a short period immediately after the data is received. Spark streaming is an example of stream processing that has come to organizations rescue as it has helped many organizations including us to harness huge amounts of data. It lays out scalable, high-efficiency and fault-tolerant stream processing of live data streams. Spark can be amalgamated with streaming of other libraries like machine learning, SQL or graph processing which provides unlimited likelihoods and use case coverage. Spark streaming is almost similar to other spark batch jobs because in both scenarios, input is operated, transformed whereas output is put elsewhere, hence, the only difference is the endless character of streaming jobs, they run throughout an unlimited period/time until they are brought to an untimely end.

Apache spark development is a common source framework that ensures data processing in a high speed and supports various programming languages such as python. Data-bricks python spark development has been designed to assist organizations to easily manage big data and artificial intelligence, it has been developed by python programming language. It stores data in rows under named columns similar to the relational database tables or excel sheets.

On this note, it is fair in concluding that, Azure data-bricks with spark helps organizations in exploring, storing and streaming big data and we as a consultancy firm can attest to that because we also use these tools.

Azure DevOps, CI/CD Process

Azure DevOps, CI/CD helps to create continuous integration (CI) and continuous delivery (CD) using an application, Git repo code.

  • Continuous integration (CI) is used to integrate work within a team, with increasing frequency.
  • Continuous delivery (CD), on the other hand, is used to build, configure, package, and deploy cloud software.
  • DevOps help organizations prevent the negative impact of responding to production issues rapidly such as overspecialization and stove-piping.

We recommend Azure DevOps processes to organizations. The CI/CD approach enables business organizations to detect software issues very fast, hence, facilitates fast solutions. CI/CD processes delivers softwares on time with faster time to market, consumer involvement and feedback during continuous development leads to usability improvements and also back-to-back releases using CD is simple and less time-consuming. Azure DevOps facilitates code sharing as it has the capability of hosting and managing codes centrally through git repo. It also provides a strong and healthy plan of action whereby organizations can install solutions that are hosted in a pipeline that provide continuous integration and installation services. Flexibility is another fundamental element of DevOps and the pipelines enables us to provide. Azure DevOps also provide the ability to scale software delivery and automate the time-consuming tasks such as infrastructure provisioning without compromising the software’s quality.

We as a consulting firm have been involved with DevOps, CI/CD whereby we have designed pipelines with data-bricks, data factory and other Azure components. We have successfully designed a pipeline with DevOps resource creation whereby we can spin off DataBricks clusters using ARM templates and Azure cli powershell. For those who are unfamiliar with ARM templates, they provide a way to identify the items you want in a JSON file.

We have taken care of automated unit tests. Automated unit testing is of great advantage to organizations in numerous ways including; discovering software bugs at an early stage, facilitates change, makes integration simpler, simplifies the debugging process, reduces the costs of bug fixes and it also provides a source of documentation.

We have helped clients with our own designed automated unit test approach whose codes were not working well, bearing in mind that most of the clients who are developing these analytics engines are coming from a database (data warehouse/ data mart) background. Yhey were writing codes in a PLSQL/TSQL procedural pattern whereby one start at the beginning and do a free flow in order to reach end of the ETL process. Unfortunately, it does not work very well in the new world as we are using object oriented and functional programming with Scala and python languages, with the help of pylint, we can now bug and check the quality of the python programming language in order to prevent errors.

We have been involved with a couple of clients whose codes had not been written in an optimum way. To be precise, most of their spark codes were working but not very well and we had to decouple their procedural codes into manageable function modules. We then designed different py-test unit tests for the codes to carry out automated unit tests for deployments. Py-test has its own benefits as it enables organizations to run numerous tests in parallel which minimizes the execution time of the test suite, it has its own criteria of detecting test files and test functions automatically just in-case they are not identified explicitly and it also allows us to skip a batch of tests during the execution process.

In conclusion, DevOps projects help organizations to create a CI and CD pipeline to Azure. The combination of CI/CD with DevOps enables automating an application’s entire life cycle.

Azure Cloud Security

Cloud security is the act of protecting data stored online from larceny, leakage and deletion. Azure cloud security is a Microsoft managed product that guarantee data protection, applications, and infrastructure. Azure has built in security services such as unparalleled security intelligence that facilitate rapid identification of evolving threats at an early stage for quick response. It has a unified management and also enable advanced threat protection across hybrid cloud environments.

DataBricks Security

DataBricks enable easy data turning into value, from ingest to production without the hassle of managing complex infrastructure, systems and tools. The DataBricks security has been designed to provide high standard security capabilities through infrastructure security, data security with Audits and Controls. The infrastructure security provide security through isolating with virtual private cloud, controlling access with identity and access management and also has a strong physical protection for data centers. The data security category encrypts data at rest and in flight and also connects to an organizations managed storage. Lastly, DataBricks platform is guaranteed by rigorously third party auditing which ensures highest security standards under security and audit controls.

The built in security features are organized in various functional areas as discussed below.

Operations

This section guarantees security through its key features. Security and audit solution is a feature that provides a comprehensive view over an organization’s IT security posture with built-in search questions concerning notable issues that requires attention. The dashboard provides a high-level of insight into the security state of computers. One is also capable to view all events that have occurred depending on the customized time frame. The Azure resource manager is a feature that helps in improving the security of deployed solutions due to its standardized security control settings which can also be integrated into standardized template-based deployments, it reduces the risk of security configuration errors that can most probably occur during manual deployments.

The application insight feature is a valuable security tool as it guarantees confidentiality, integrity and availability security triad. The azure monitor feature alerts you on any issues concerning security events which are generated in Azure logs. The azure monitor logs feature is a flexible tool that enable quick search through large amounts of security-related entries. Lastly, the azure advisor provides security recommendations drawn from security analysis performed by Azure Security Centre which improves an organizations overall security posture for solutions you deploy in Azure.

Applications

Azure’s applications security is determined by its key features. The Web Application Vulnerability Scanning is a feature that scans for any security risks and provides results in an easy way through reports, it also educates you on how to fix each vulnerabilities with step-by-step instructions. The penetration testing is a feature that allows you to perform your own penetration tests whereby you must follow the Azure penetration testing approval process. The Web application firewall is another feature that helps organizations in protecting their web applications from common web-based attacks such as the SQL injection, cross-site scripting attacks and session hijacking.

Storage (Azure Data Lake)

Azure Data Lake is a scalable data storage and analytics service. It stores and analyzes petabyte-size files and trillions of objects, it develops large parallel programs with simplicity, it debugs and optimizes the user big data programs with ease and also enterprises-grade security, auditing and support.

Azure file shares and also client-side encryption so as to encrypt data before it is transferred into storage and to decrypt the data after it is transferred into storage.

Compute

This feature allow organizations to use Antimalware software from security vendors such as Microsoft, Symantec, trend micro, McAfee, and Kaspersky Antivirus in order to protect virtual machines from malicious files, adware and other threats

Identity

The Azure Active Directory is a comprehensive identity and access management cloud solution that enables data access in on site applications and also in cloud, it simplifies user (organizations) management and groups. It also combines core directory services, advanced identity governance, security and application access management.

Conclusion

The main aim of our service delivery as a consultancy is to provide an explanation of the measures taken by azure cloud security in order to provide data and application security but as much as it provides high security, the organizations are also required to follow several practices such as minimizing the number of admins/users, avoid granting permissions to external accounts, enforcing disk encryption on virtual machines and enabling latest OS patch updates for virtual machines.

Leading UK Insurer

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Airliner

Det er en kendsgerning, at man bliver distraheret af læsbart indhold på en side, når man betragter dens layout. Meningen med at bruge Lorem Ipsum er, at teksten indeholder mere eller mindre almindelig tekstopbygning i modsætning til “Tekst her – og mere tekst her”, mens det samtidigt ligner almindelig tekst. Mange layoutprogrammer og webdesignere bruger Lorem Ipsum som fyldtekst. En søgning på Lorem Ipsum afslører mange websider, som stadig er på udviklingsstadiet. Der har været et utal af variationer, som er opstået enten på grund af fejl og andre gange med vilje (som blandt andet et resultat af humor).

Leading UK Insurer

Det er en kendsgerning, at man bliver distraheret af læsbart indhold på en side, når man betragter dens layout. Meningen med at bruge Lorem Ipsum er, at teksten indeholder mere eller mindre almindelig tekstopbygning i modsætning til “Tekst her – og mere tekst her”, mens det samtidigt ligner almindelig tekst. Mange layoutprogrammer og webdesignere bruger Lorem Ipsum som fyldtekst. En søgning på Lorem Ipsum afslører mange websider, som stadig er på udviklingsstadiet. Der har været et utal af variationer, som er opstået enten på grund af fejl og andre gange med vilje (som blandt andet et resultat af humor).