Sweken Digital Marketing Services

Digital Marketing Services

Digital Marketing services are gaining momentum. Today’s world is changing at a rapid pace. From innovations to technological advancements we can see there is a change in almost everything. 

How can your business move towards a world that is changing fast?

Here, in this case, the perfect answer for you is Digital Marketing.

Sweken is a Professional Website, Mobile Application Development and Digital Marketing Company that has 12+ years of experience and has gone through lots of professional projects.

Bring More Awesomeness to your Brand

Sweken, India works blazingly fast in this fast-paced world with proven web-based strategies. 

We understand your business goals and achievements you would like to reach and create a perfect plan and execute it to boost your business.

Our Digital Marketing Services

Sweken is a Website Development and Digital Marketing Services Company, located in Visakhapatnam, AP in India

We started a web design and web development company with proven results. 

Our experienced team of passionate professionals always strive to deliver the best results and help to grow businesses.

Whether it’s about growing your website traffic or growing your subscribers or want to increase your leads, our team brings the desired outcomes with full dedication and experience. 

Our skills encompass everything in SEO, PPC, web designs, web development, and its Digital Marketing spaces as well.

Our Digital Marketing Services Includes

At Sweken we start all of our projects just by dispose of you for the perfect audience and will help you find perfect business opportunities. We keep our efforts to help you reach your final goal and beyond the goal as well.

When we take up any project we’ll examine your target audience and then efficiently execute plans by removing the unwanted stuff and include best and creative marketing ideas to your site.

We understand businesses should concentrate on business goals and focus on the target audience in digital marketing. Then only they can open the floodgates of their traffic, leads, and visibility.

Here are some of the Digital Marketing Services provide at Sweken IT Solutions

We help you to achieve higher rankings in major search engines through proper keyword research and White-hat Practices. We always strive to deliver advanced Search Engine Optimization (SEO) Services to rank your desired keywords.

We often provide trailblazing services to immediately boost your website growth with Pay Per Click (PPC) Services. Sweken PPC campaigns often to ensure that the money we spend is put to get the best possible outcome.

We always help you keep your customers coming back to your business with easy and cost-effective Email Marketing Tactics.

We provide strategic Content Writing Services at an affordable price. Our skilled content writers know how to deal with google rankbrain. So, they'll generate great content which has the potential to attract users. At Sweken we design the content to be informative and compelling for audiences just to give a push for your business.

Social Media Marketing is often a vital way to stay connected with your audience. So, we consistently do care about your social expose and increase your social standards by our advanced optimization techniques.

Our conversion optimization service helps you to turn your regular visitors into your customers. Our team has expertized in Conversion Rate Optimization and they will perform some techniques to your business to get passive websites, active users.

We help the businesses to boost their special offer pages or other targeted pages with our Growth Hacking Techniques.

We provide top-notch Website Design Service. We'll ensure your websites stand out in this hypercompetitive world with millions of the other websites. We care about your organization to grow and we design the websites accordingly.

Sweken is the most effective Web Development Services Company with a skilled team of web developers. Our developers enjoy the decade long proficiency. We are capable of construct high-end web solutions.

Deployment Pipeline

Deployment Pipeline (CI/CD) in Software Engineering

Deployment Pipeline

A deployment pipeline in a Software Engineering team is a set of automated processes that allow Developers and DevOps professionals to reliably and efficiently compile, build and deploy their code to their production compute platforms.

There is no hard and fast rule stating what a pipeline should like like and the tools it must utilize, however the most common components of a pipeline are; build automation/continuous integration, test automation, and deployment automation.

A pipeline generally consists of a set of tools which are normally broken down into the following categories;

  • Source Control
  • Build tools
  • Containerization
  • Configuration Management
  • Monitoring

The key objective of a Software Delivery Pipeline is automation with no manual steps or changes required in or between any steps of the pipeline.

Human error can and does occur when carrying out these boring and repetitive tasks manually and ultimately does affect the ability to meet deliverables and potentially SLA’s due to botched deployments.

Deployment Pipeline

A Deployment pipeline is the process of taking code from version control and making it readily available to users of your application in an automated fashion.

When a team of developers are working on projects or features they need a reliable and efficient way to build, test and deploy their work.

Historically, this would have been a manual process involving lots of communication and a lot of human error.

The stages of a typical deployment pipeline are as follows;

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Version Control

Software Developers working on their code generally commit their changes into source control (e.g. github).

When a commit to source control is made a the first stage of the deployment pipeline is started which triggers the code compilation, unit tests, code analysis and installer creation.

If all of these steps complete successfully the executables are assembled into binaries and stored into an artefact repository for later use.

Acceptance Tests

Acceptance testing is a process of running a series of tests over compiled/built code to test against the predefined acceptance criteria set by the business.

Independent Deployment

An independent deployment is the process of deploying the compiled and tested artefacts onto development environments.

Development environments should be (ideally) a carbon copy of your production environments or very similar at worst.

This allows the software to be functionally tested on production like infrastructure ready for any further automated or manual testing.

Production Deployment

This process is normally handed by the Operations or DevOps team. This should be a very similar process to independent deployments and should deliver the code to live production servers.

Typically this process would involve either Blue/Green deployments or canary releases to allow for zero down time deployments and easy version roll backs in the event of unpredicted issues.

In situations where there are no zero down time deployment abilities release windows are normally negotiated with the business.

Continuous Integration and Continuous Delivery Pipelines

Continuous Integration (CI) is a practice in which developers will check their code into a version controlled repository several times per day.

Automated build pipelines are triggered by these check ins which allow for fast and easy to locate error detection.

The key benefits of CI are:

  • Smaller changes are easier to integrate into larger code bases.
  • Easier for other team members to see what you have been working on
  • Bugs in larger pieces of work are identified early making them easier to fix resulting in less debugging work
  • Consistent code compile/build testing
  • Fewer integration issues allowing rapid code delivery

Continuous Delivery (CD) is the process which allows developers and operations engineers to deliver bug fixes, features and configuration changes into production reliably, quickly and sustainably.

Continuous delivery offers the benefit of code delivery pipelines that are routinely carried out that can be performed on demand with confidence.

The benefits of CD are:

  • Lower Risk Releases – Blue/Green deployments and canary releases allow for zero downtime deployments which are not detectable by users and make rolling back to a previous release relatively pain free.
  • Faster Bug Fixes & Feature delivery – With CI & CD when features or bug fixes are finished, and have passed the acceptance and integration tests – a CD pipeline allows these to be quickly delivered into production.
  • Cost savings – Continuous Delivery allows teams to work on features and bug fixes in small batches which means user feedback is received much quicker. This allows for changes to be made along the way thus reducing the overall time and cost of a project.

Blue/Green Deployments

Utilization of a Blue/Green Deployment process reduces risk and down time by creating a mirror copy your production environment naming one Blue and one Green.

Only one of the environments is live at any given time serving live production traffic. During a deployment software is deployed to the non-live environment – meaning live production traffic is unaffected during the process.

Tests are run against this currently non-live environment and once all tests have satisfied the predefined criteria traffic routing is switched to the non-live environment making it live.

The process is repeated in the next deployment with the original live environment now becoming non-live.

Canary Deployments

Differently to Blue/Green deployments, Canary Deployments do not rely on duplicate environments to be running in parallel.

Canary Deployments roll out a release to a specific number or percentage of users/servers to allow for live production testing before continuing to roll out the release across all users/servers.

The prime benefit of canary releases is the ability to detect failures early and roll back changes limiting the number of affected users/services in the event of exceptions and failures.

In summary, CI is the automated process to enable software development teams to check in and verify the quality and ability to compile of their code.

CD allows Development and Operations teams to reliably and efficiently delivery new features and bug fixes to their end uses in an automated fashion.

There are many different tools that you can use to build CI/CD pipelines outlined below, all of which can be used to build reliable and robust CI/CD pipelines with the added bonus of being able to get started for free!

cloud computing

Public vs Private vs Hybrid: Cloud Computing Differences Explained

Cloud Computing

The term Cloud Computing spans a range of classifications, types, and architecture models. This networked computing model has transformed how we work—you’re likely already using the cloud. But the cloud isn’t one thing—cloud computing can be categorized into three general types:

  • Public cloud is cloud computing that’s delivered via the internet and shared across organizations.
  • Private cloud is cloud computing that is dedicated solely to your organization.
  • Hybrid cloud is any environment that uses both public and private clouds.

This article looks at cloud computing at the highest level by:

  • Defining cloud computing
  • Exploring public, private, and hybrid cloud environments
  • Sharing use cases and examples

Public vs private vs hybrid cloud: At a glance

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What is cloud computing?

Cloud computing is storing or accessing programs, apps, and data via the internet—instead of directly on your computer hard drive. The most popular examples of cloud computing are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS)—most of which you can choose whether to set up in a public or private option. Cloud computing is giving rise to more as-a-service offerings including:

Any cloud service consists of client-side systems or devices (PC, tablets, etc.) that are connected to the backend data center components. The components that constitute cloud infrastructure include:

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The underlying infrastructure architecture can take various forms and features, including:

Individuals and companies alike both value the benefits of cloud computing, including:

Examples and use cases of cloud computing

There are some very obvious examples of cloud computing, many of you which you might already use in your personal or professional life:

  • Document sharing options, like Dropbox, Google Docs, and Microsoft 365
  • Social networking and telecom services, like Facebook, Twitter, and Skype
  • CRMs and productivity management tools such as Salesforce and Atlassian
  • ITSM and ITOM software, like BMC Helix
  • Online streaming services such as Netflix, Sling, and Hulu
  • Machine learning and big data analysis
  • The IoT

What is the public cloud?

The public cloud refers to the cloud computing model in which IT services are delivered via the internet. As the most popular model of cloud computing services, the public cloud offers vast choices in terms of solutions and computing resources to address the growing needs of organizations of all sizes and verticals.

The defining features of a public cloud solution include:

  • High elasticity and scalability
  • A low-cost subscription-based pricing tier

Services on the public cloud may be free, freemium, or subscription-based, wherein you’re charged based on the computing resources you consume.

The computing functionality may range from common services—email, apps, and storage—to the enterprise-grade OS platform or infrastructure environments used for software development and testing.

The cloud vendor is responsible for developing, managing, and maintaining the pool of computing resources shared between multiple tenants from across the network. 

When to use the public cloud

The public cloud is most suitable for these types of environments:

  • Predictable computing needs, such as communication services for a specific number of users
  • Apps and services necessary to perform IT and business operations
  • Additional resource requirements to address varying peak demands
  • Software development and test environments

Advantages of public cloud

People appreciate these public cloud benefits:

  • No CapEx. No investments required to deploy and maintain the IT infrastructure.
  • Technical agility. High scalability and flexibility to meet unpredictable workload demands.
  • Business focus. The reduced complexity and requirements on in-house IT expertise is minimized, as the cloud vendor is responsible for infrastructure management.
  • Affordability. Flexible pricing options based on different SLA offerings
  • Cost agility. The cost agility allows organizations to follow lean growth strategies and focus their investments on innovation projects

Drawbacks of public cloud

The public cloud does come with limitations:

  • Lack of cost control. The total cost of ownership (TCO) can rise exponentially for large-scale usage, specifically for midsize to large enterprises.
  • Lack of security. Public cloud is the least secure, by nature, so it isn’t best for sensitive mission-critical IT workloads.
  • Minimal technical control. Low visibility and control into the infrastructure may not meet your compliance needs.

Learn more about securing your public cloud.

What is the private cloud?

The private cloud refers to any cloud solution dedicated for use by a single organization. In the private cloud, you’re not sharing cloud computing resources with any other organization.

The data center resources may be located on-premise or operated by a third-party vendor off-site. The computing resources are isolated and delivered via a secure private network, and not shared with other customers.

Private cloud is customizable to meet the unique business and security needs of the organization. With greater visibility and control into the infrastructure, organizations can operate compliance-sensitive IT workloads without compromising on the security and performance previously only achieved with dedicated on-premise data centers.

When to use the private cloud

The private cloud is best suited for:

  • Highly regulated industries and government agencies
  • Sensitive data
  • Companies that require strong control and security over their IT workloads and the underlying infrastructure
  • Large enterprises that require advanced data center technologies to operate efficiently and cost-effectively
  • Organizations that can afford to invest in high performance and availability technologies

Advantages of private cloud

The most popular benefits of private cloud include:

  • Exclusive environments. Dedicated and secure environments that cannot be accessed by other organizations.
  • Custom security. Compliance to stringent regulations as organizations can run protocols, configurations, and measures to customize security based on unique workload requirements
  • Scalability without tradeoffs. High scalability and efficiency to meet unpredictable demands without compromising on security and performance
  • Efficient performance. The private cloud is reliable for high SLA performance and efficiency.
  • Flexibility. The private cloud is flexible as you transform the infrastructure based on ever-changing business and IT needs of the organization.

Drawbacks of private cloud

The private cloud has drawbacks that might limit use cases:

  • Price. The private cloud is an expensive solution with a relatively high TCO compared to public cloud alternatives, especially for short-term use cases.
  • Mobile difficulty. Mobile users may have limited access to the private cloud considering the high security measures in place.
  • Scalability depends. The infrastructure may not offer high scalability to meet unpredictable demands if the cloud data center is limited to on-premise computing resources

What is hybrid cloud?

The hybrid cloud is any cloud infrastructure environment that combines both public and private cloud solutions.

The resources are typically orchestrated as an integrated infrastructure environment. Apps and data workloads can share the resources between public and private cloud deployment based on organizational business and technical policies around aspects like:

  • Security
  • Performance
  • Scalability
  • Cost
  • Efficiency

This is a common example of hybrid cloud: Organizations can use private cloud environments for their IT workloads and complement the infrastructure with public cloud resources to accommodate occasional spikes in network traffic.

Or, perhaps you use the public cloud for workloads and data that aren’t sensitive, saving cost, but opt for the private cloud for sensitive data.

As a result, access to additional computing capacity does not require the high CapEx of a private cloud environment but is delivered as a short-term IT service via a public cloud solution. The environment itself is seamlessly integrated to ensure optimum performance and scalability to changing business needs.

When you do pursue a hybrid cloud, you may have another decision to make: whether to be homogeneous or heterogenous with your cloud. That is—are you using cloud services from a single vendor or from several vendors?

When to use the hybrid cloud

Here’s who the hybrid cloud might suit best:

  • Organizations serving multiple verticals facing different IT security, regulatory, and performance requirements
  • Optimizing cloud investments without compromising on the value that public or private cloud technologies can deliver
  • Improving security on existing cloud solutions such as SaaS offerings that must be delivered via secure private networks
  • Strategically approaching cloud investments to continuously switch and tradeoff between the best cloud service delivery model available in the market

Advantages of hybrid cloud

  • Policy-driven option. Flexible policy-driven deployment to distribute workloads across public and private infrastructure environments based on security, performance, and cost requirements.
  • Scale with security. Scalability of public cloud environments is achieved without exposing sensitive IT workloads to the inherent security risks.
  • Reliability. Distributing services across multiple data centers, some public, some private, results in maximum reliability.
  • Cost control. Improved security posture as sensitive IT workloads run on dedicated resources in private clouds while regular workloads are spread across inexpensive public cloud infrastructure to tradeoff for cost investments

Learn more about hybrid cloud security and best practices.

Drawbacks of hybrid cloud

Common drawbacks of the hybrid cloud include:

  • Price. Toggling between public and private can be hard to track, resulting in wasteful spending.
  • Management. Strong compatibility and integration is required between cloud infrastructure spanning different locations and categories. This is a limitation with public cloud deployments, for which organizations lack direct control over the infrastructure.
  • Added complexity. Additional infrastructure complexity is introduced as organizations operate and manage an evolving mix of private and public cloud architecture.

Cloud responsibility: A shared model

As a final note, It is important to know that no matter which cloud environment you work in, your problems don’t go away. Though you’re purchasing services from third-party vendors, you still have to do your due diligence to reduce risk.

This is known as shared model of cloud responsibility. Though vendors operate the IT infrastructure and control things like flexibility and agility, your organization maintains responsibility for:

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Which cloud to choose?

The choice between public, private, and hybrid cloud solutions depends on a variety of factors, use cases, and limitations. In the real world, this is rarely an either/or situation, especially since organizations tend to leverage all three types of cloud solutions for each’s inherent value propositions.

Though you’re likely already using the cloud, it is worth developing an intentional cloud strategy in order to optimize your use of each cloud environment. Start with defining the needs of your various workloads, then prioritize them based on the pros and cons of each model.

Additional resources