The typewriter – the grandfather of a word processor – was once a world-changing invention. The common writing machine or the-then gold standard for creating typed documents had a steady fan following for everything it offered: distraction-free writing, romantic sensibilities and more.

Over the years, this mighty machine found a stiff competitor in computer and gradually got lost while still staying with a microscopic minority. Computer redefined how simple and quick word processing could be. It made writing a collaborative practice; transparently documented and electronically judged. It increased productivity, saved hours of efforts, and happiness (unless you love all things retro). With a computer on your side, you no longer need a typewriter, a copy machine, and even a postal service.

Over the next 5 minutes, you will read –

• Issues with the legacy system
• What is application modernization?
• Roadmap to an effective application modernization
• Needful measures to accelerate legacy migration

The legacy applications relatively share the same story as a typewriter, with one exception: They are still widely used. Once considered revolutionary, their age made them obsolete and non-aligned to the new priorities of changing times. You may find the following –

• Fragmented IT landscape distributed across locations
• Sub-optimal application design that cannot handle new requests
• Dependency on individual resources with specific skills in obsolete programming languages
• Compatibility challenges that threaten business interactions

…Well, the list just begins. While companies continue to invest 80% of their IT budgets on the maintenance of outdated applications, legacy applications increase device dependency, are not papered for change; crash, fail to perform as expected. They are mostly incompatible with modern software systems.

Application modernization serves as a replacement of your legacy systems, step-by-step. It careful identifies the key priorities of the project and strategically plan for execution. Application modernization is all about re-purposing, refactoring, rehosting, re-coding, re-architecting and re-building of your legacy system to realign it with your current business needs and changing market dynamics. The migration of legacy to new application and platforms provide a number of advantages; including

• The creation of the IT landscape with a new architectural paradigm that aligns with the dynamic business needs
• Modern development tools accelerate innovation, make collaboration more fluid and connected
• Short development times result quickly to market products, save money and hours of efforts in testing, development, and deployment
• Applications operating in the cloud offer increased mobility, flexibility, and process automation
• Enterprises can easily migrate their essential and non-essential assets to more effective, scalable Cloud-based systems with increased positive productivity outcomes

On top of that, modernization offers improved compliance, minimizes disruption, lowers risks, and significantly reduce dependency on IT resources More importantly, it eliminates the need for legacy applications to be viewed as a liability.

• Identify the pattern and working system to narrow down on core functionality and process. Develop a practical model of the desired version of the upcoming system comprehensively
• Analyze and deconstruct the available legacy systems into modernizable modules
• Migrate legacy code, functionality into applicable technology and target interface
• Improvise, bring changes as necessary

If you think your business can endure hazardous events and your data is immune from irrevocable loss, think once again!

45% of unplanned downtime is due to hardware failure? Or that 48% of IT providers indicate phishing emails were the cause of ransomware? And 36% say lack of employee training was to blame for cybersecurity mishaps?

Tanium says that Business resilience—or disaster recovery, or business continuity—are like insurance to your business data. You just need to have it just in case something catastrophic occurs. It is something you put in place after a disaster strikes.

This blog highlights the need for Business Continuity and Disaster Recovery for an organization and best practices to implement them.

BC – Business Continuity:

It involves developing roadmap and strategies to ensure business operations continue to run smoothly pre and post-disaster. Change management, service availability, impact analysis and staff replacement can be part of Business Continuity plan.

DR – Disaster Recovery:

It is primarily aligned with the IT resources of an organization. It is all about how a company’s IT department and related resources recover from any form of disaster. Facilitating backup systems, backing up copied data, servers and network restoration will be planned under Disaster Recovery.

Many companies with good reputation often suffer from undesired performance issues. Everything is unpredictable – Market, Customer demands, Environment, and Compliances. So, it is very important to prepare for the worst and face it confidently when needed. In addition, with the current adoption rate of new technologies and making sure mission-critical processes, applications, systems and data are available at all times is a challenge.

This is when BC/DR comes to the rescue, which is a combined set of processes and techniques used to facilitate the company’s recovery from a disaster and promote the routine business activities without any breakdown.

Nearly 40-60% of small businesses who lose access to operational systems and data without a DR plan close their doors forever. Companies that can recover do so at a much higher cost and a longer timeframe than companies who had a formal backup and disaster recovery (BDR) plan in place.

In this scenario, technological organizations should contemplate about investing in Business Continuity and Disaster Recovery (BC/DR) strategies for long-term benefits. The rapid increase in cloud adoption and increasing need to manage huge data is driving organizations to look at cloud-based backups and Managed Service Providers (MSPs) as viable options.

Cyber-attacks: Organizations networks and systems continuously face a number of cyber threats. From viruses, malware to simple hardware and system failures, businesses mission-critical data is never disaster-proof.

People fail – Employees may unknowingly download a potential virus into the system – thereby exposing
the entire business to risk. If the organization does not have enough resources to fix the situation on
time, whole data in the network will be compromised posing a threat to the assets.

Customer data risks – Potentially it is more expensive to retain a customer after the organization loses its data than to invest in BCDR on time before anything catastrophic happens. It may lead to legal lawsuits also.

Traditionally Business Continuity and Data Recovery strategies are implemented on a remote data center. There is a need for complex infrastructure and computing technology to sustain. This prompted businesses to move to cloud solutions which promised to be durable, reliable and available at all costs.  Leaving a company unprepared when trying to come up with a plan of navigating the rough waters of post-disaster damage control is not an effective way of operating.

AWS has many services and technology partners providing disaster recovery solutions due to its vast network of data centers and its wide footprint globally. The data centers available avoid a single point of failure and are fault tolerant when an attack happens possible due to availability zones and edge locations.

AWS ensures RPO in few seconds with the help of the Cloud. Durability Record of AWS is 99.999999999% also known as 9×11’s in the industry. Using automation and orchestrations RTO is reduced to minutes.

When thinking about cloud security, it’s ultimately up to you to determine the proper  Business Continuity And Disaster Recovery plan in place.  Nowadays, Federal & State laws are insisting on having a business continuity model in place. Data recovery is considered as the highest priority of cloud adoption.

Minfy Technologies is the most trusted  AWS Advanced Consulting Partner.  As AWS Managed Service Partner, we ensure a 100% success record with more SAP on AWS than any other company. We are pioneers of AWS cloud migrating Microsoft workloads and DevOps.  We also provide cloud consulting and application development in emerging technologies like AI/ML.

Our native customer base is across verticals.  Check out how Minfy Tech Helps Government IT Department Modernize with AWS Cloud, where Government of Manipur’s department of IT adapted AWS Cloud Framework to migrate their critical services on to the cloud.

If your organization is migrating PB/TB’s of data into the cloud. The most common procedure is to load the data into a physical appliance with data, then ship the appliance to a cloud provider. There’s an old-school principal.

Any large-scale data migrations can incur high network costs. They would take unrealistically long transfer times. No matter how fast is your networks can take months and years to move terabytes and petabytes of data from an on-premises data center to a public cloud provider.

We have a simple method that reduces the transfer time in the most cost-effective manner. This blog gives you AWS Snowball a shippable storage device for migrating petabyte-scale data sets into the cloud. How Minfy helped a media company to migrate their TB’s of data into the cloud

Manually migrating large-scale data is a time-consuming undertaking. Most wide area networks suffer from extended delays transmitting thousands of terabytes of data, stretching from hours to months.

On-premise workloads are predicted to shrink from 37% today to 27% of all workloads by 2020. 

Migrating huge amounts of both structured and unstructured data involve detailed planning, expensive software purchases, effective execution roadmap, proper cleanup and error corrections, speedy and seamless access transfer, data elimination from existing storage facility and validation. Streaming data brings in a new dimension of higher velocity and real-time processing constraints into the picture. Velocity differs based on the type of application and quality of data to be transferred.

Transferring petabytes amount of data in itself takes a long time, in addition, computing and performing analytics takes even longer threatening agility of the organization. This also affects the organizations to innovate and embrace emerging trends like IoT, Artificial Intelligence and Edge Computing.  Another issue is having a centralized management location for diverse infrastructures, having defined access roles (RBAC)  at the project level and BU level is imperative in the current global working space. Diverse teams, multiple sites, different infrastructure requirements increase operational costs to large scale as developing, deploying and operating take a long time and increase overhead costs to a large scale.

Snowball from AWS is a petabyte-scale data transport solution that is used to transfer large amounts of data into and out of the AWS cloud. It is designed to intelligently address common large-scale data transfer challenges. Snowball is simple, fast, more secure, and can be as little as one-fifth the cost of transferring data via high-speed Internet.

You can opt to use a single AWS Snowball device to transport multiple terabytes of data, or use multiple devices in parallel to transfer petabytes of data. Additionally, AWS Snowmobile truck-size option can help you in transforming exabyte data into the cloud.

Seamless migration

AWS Snowball is being used by enterprises for migrating huge volumes of data – regardless of complexities and types across uses and sizes. Genomics data, analytics, backups, migration projects, video libraries, and image repositories – what you want to migrate, you can effortlessly do so without expecting the vulnerabilities and barriers of migration.

Time 

Transferring 100 terabytes of data, for example, may take more than 100 days over a dedicated 100

Mbps connection

Moreover, it may so happen that if the connectivity breaks the transfer may start all over again. With Snowball devices, the desired activity can be completed within a week or less without a data loss guarantee.

Highly compatible and scalable

The Snowball device is very easy to connect to your existing systems, and provides endless scalability advantages.

AWS Snowball is cost effective

It is very affordable when compared with the cost associated with data for high-speed Internet transfers. With obvious benefits, it delivers seamless migration facility at a cheap price It also offers easy data retrieval benefits

AWS Snowball is a service that expedites the transfer of large amounts of data into and out of cloud using physical storage devices, bypassing the internet. These physical storage devices transfer data at faster-than internet speed over the regional carriers, complete with E Ink shipping labels. This data is then transferred into the Amazon Simple Storage Service (S3).

The Snowball appliances and provides powerful interfaces that you can use to create jobs, transfer data, and track the status of your jobs through to completion. Since the devices can be directly sent to the customers, it is easy to receive and share volumes of business data with stakeholders.

It has an 80TB model for all regions and the 50TB only for the USA. It transfers data to S3 in an encrypted format, protecting the data. Jobs are managed through a management console or programmatically through the job management API. AWS Snowball Management Console and the job management API for creating and managing jobs.

The media company is headquartered in Kolkatta. had a massive inventory of data in TB.  Managing and migrating such large streams of rich content required for them to use huge volumes of manpower expertised in the implementation of cloud migration.

The company continuously uploads new digital content on its platform and anticipates seamless media consumption for its target audience. The tape drive backup system, because of its portability and adaptability limitations made it relatively challenging to provide its audience with instant and endless access to content-rich programs. The company wanted to achieve cost-effective outcome while retaining their expectations in performance, stability, compatibility, and compliance

Minfy extracted 100 TB data out of the Tape Drives and moved on to AWS using AWS Snowball. Files transferred using Snowball were also moved directly to Glacier for archival. AWS File Gateway was configured to move daily delta files directly on to AWS S3 Files stored on AWS S3 as the primary storage with Intelligent Tier enabled. The Intelligent storage class is a low cost and optimizing it by the data access patterns, not compromising with the performance or operational overhead. It moves data between two access tiers – frequent and infrequent access tiers – when access pattern changes, ideal for data with changing access patterns.

The data is moved to Glacier from Amazon S3 based on lifecycle policies via the AWS Management Console, which set rules to configure the movement of data to Glacier. It can be either transition or expiration which decides the cost of data management.

This is applied to the S3 buckets, by selecting the appropriate bucket and going to the Management tab to Add Lifecycle Rule. Here the rules are added with a name and selecting what versions of data are transferred, after how many days. Later an expiration date can be specified, which will permanently delete data from S3 after a given number of days. The files can be restored from Glacier to be moved to S3 by specifying how long to be accessible on S3 and retrieval types – Bulk, Standard and Expedited.

The lifecycle rules are highly useful when the data only needs to be available on S3 for a specified amount of time like periodic logs or some those need to be archived like digital media as in the case of our project. Broadly there are GET bucket lifecycle, PUT bucket lifecycle and DELETE bucket lifecycle.

For a company to sustain the unpredictable competition that is waiting to happen tomorrow, CIOs need to be a leader and strategist today. They are no longer maintenance heads, who traditionally found themselves in seemingly shifting job descriptions, taking care of everything hardware and software, maintenance, security, and implementation is all about.

But, any Chief Financial Officer will naturally have questions about huge new technology transitions. Because the cloud won’t happen in the snap of a finger and it involves certain investment, you need to set the floor to convince your CIO on moving to the cloud.

As it seems today, they are phasing through transformational changes; delivering business value in each stage, addressing evolving technology challenges every second, exploring new growth opportunities in a competitive landscape, gathering insights to implement positive change in the company. The CIO we knew yesterday no longer exists. S/he is more agile, skilled and focused. Thanks to Cloud!

Surprisingly enough, some CIOs are still fighting cloud adoption. Reasons? Perhaps, a few questions they are yet to find answers to –

Will cloud deliver more security than my internal data center?

Will my cloud provider be a position to maintain my desired uptime standards?

What about scalability, deployment barriers, and legacy migration challenges?

What if we lack documentation for outdated legacy systems?

Will our existing employees adapt to the Cloud culture?

More importantly, am I ready for the Cloud?

It would be unjustified if we blame some CIOs for their cloud unpreparedness. If they are fighting the cloud, there must be some inherent organization-wide issue as well. Probably the top decision maker has not been convinced enough, or the team comprises of old and tired employees who don’t want to step out of their comfort level or they are finding it hard to explore tangible cloud benefit.  This is where the necessity of innovative cloud literacy comes.

If you are a stakeholder of a company that you think can hugely benefit from cloud adoption because you know and see it works, here are a few ways you can convince your CIO to move to the cloud.

Source: LogicMonitor’s survey is predicting that 41% of enterprise workloads will be run on public cloud platforms (Amazon AWS, Google Cloud Platform, IBM Cloud, Microsoft Azure, and others) by 2020

Many CIOs are not at all bothered about controlling costs. If they see business continuity requires investment, they do not bother money flowing in. In fact, this is natural. Cost control can be a priority, but many a time, it does not guarantee transformation. Delivering business outcome does. CIOs who think on this line have a lot to gather from the Cloud.

If transformation is all about growing steadily, while remaining relevant in the evolving digital race, Cloud benefits a company in the following ways –

It can drive valuable and measurable business insights with advanced analytical capabilities. This facilitates effective decision-making and strategy building. Since CIOs need to take the proactive decision, the cloud is their secret sauce of success.

With the cloud, stakeholders can remotely access files without device, location and time barriers. They also work seamlessly – without strict governance and limitations (if not required). What do all of these mean? Higher productivity, improved collaboration capacities. At the end of the day, the benefit passes down to the customer. They experience improved service and show more interest in becoming retained paying customers.

A huge financial and competitive concern for many companies will be what
they’ll do if their data is lost/corrupted/inaccessible. This can have extensive economic implications, some of which could send a business into falling completely flat. A great thing about cloud storage is that if data is lost on local machines like computers or phones, the data is still accessible. At the very least 90% of the files will be accessible if a network failure has caused the trauma. The biggest advantage is having your
data continually backed up across various servers which can restore anything you’ve lost.

Managing traditional on-prem change is fairly direct:

A typical  “waterfall” approach leads us to somewhere with different kinds of impacts.  Let’s think about requirements gathering. In a waterfall approach, we typically look at requirements at the outset. You revisit them as development progresses. The base for the application coder is everything that is progressing from point A to B to Z in lock-step.

In the cloud …

On the other hand, the journey to the cloud is agile, flexible and iterative.  The sprints for the cloud are very different from those involving legacy data centers. As you proceed with these sprints, more activities will be layered onto previous ones. Your stakeholder’s feedbacks  stay open and flexible to new developments.

It provides elasticity – something, which is extremely important every CIO would believe. With Cloud, A business can instantly provision computing capacity to address spikes in demand

Time has always been money. In today’s digital age, it is gold. When your in-house employees have few low-level tech issues to deal with, they have more time fixing more mission-critical challenges and their ability to seamlessly access files from anywhere, anytime makes them super productive every time.

The last decade has seen businesses increasingly moving their application workloads from on-premise to the cloud. SAP being one of the most business-critical applications, there have been considerable discussions around migrating SAP workloads to the cloud and choosing the right cloud vendor.

Two of the leading players in the market, Azure and AWS, both offer great support for running SAP workloads. AWS being a market leader has a rich ecosystem of solutions and integrations that can benefit your SAP implementation. However, Azure is also fast expanding its repertoire of solutions.

The choice of AWS or Azure depends primarily on what best meets business requirements, and the existing IT infrastructure and cloud solution in place. However, there are a few well-identified challenges with running SAP on Azure that you might want to consider when evaluating moving SAP to the cloud, or moving SAP from Azure to AWS:

No Dynamic Capacity Planning: Azure has certain constraints on moving and allocating infrastructure resources, which means you cannot dynamically scale your cloud usage up or down in response to changing demand. This can lead to wasteful expenditure in paying for resources that are not in use.

Limited Visibility and Monitoring: Azure offers a limited range of monitoring tools, which means you do not have complete visibility into your infrastructure. This lack of insight can cause a failure to notice core performance issues, thus disrupting business processes. Most businesses adopt additional monitoring software to get around this challenge.

Besides this, Azure is also less flexible when it comes to supporting non-Windows based server platforms.

With over 5000 active customers, AWS looks to be the most preferred cloud solution for running SAP workloads. IDG Research reveals that businesses running SAP workloads on AWS report high satisfaction rating, and have reaped significant benefits. 96% of businesses surveyed say that choosing AWS has reduced their total cost of ownership (TCO). They also report an increase in savings by upto 26%.

But that’s just the beginning.

Here’s a closer look at the diverse range of benefits that businesses stand to gain, once they move their SAP workloads to AWS:

Easy Provisioning, High Scalability

Migrating SAP workloads onto AWS gives you a highly available, robust and scalable infrastructure to launch and manage your business critical applications. It eliminates the need for investing in costly and time-consuming infrastructure purchases and deployment, allowing you to launch SAP systems in minutes. And this improved time-to-market is highly valuable in today’s disruptive market conditions.

The close partnership between AWS and SAP means that customers can leverage a range of solutions designed specifically deliver these benefits:

• AWS Quick Start to streamline deployment of SAP HANA production environments, in accordance with best practices from both SAP and AWS.

•  Integrating SAP workloads with AWS CloudFormation and Amazon CloudWatch to automate resource provisioning and other system maintenance.

Your teams also do not have to engage in complex capacity planning to ensure optimal use of budgets and resources. With flexible computing solutions and pricing models, AWS allows you to scale up or scale down infrastructure usage in response to fluctuating requirements. You can add or remove compute, networking and storage instances as required, to actively keep up with evolving workloads. And this is a key advantage that AWS delivers over Azure.

One of the key reasons businesses choose AWS for SAP is because it offers a complete cloud environment for business innovations. The fact that SAP and AWS have been working together since 2011 means that businesses have access to a set of solutions that have been honed over the years to anticipate and solve real customers needs around application performance and agility. So we have:

•  A range of Amazon EC2 instances optimized for specific SAP workload needs. One of these is X1, which has been purpose-built with Intel® Xeon® E7 processors. It meets the strict performance requirements for in-memory databases such as SAP HANA and other big data and enterprise workloads.

•  Pre-built system images are available on AWS for certain SAP solutions, allowing businesses to deploy a ready-to-go, preconfigured SAP system in a matter of minutes.

Dedicated SAP customer support for businesses running SAP on AWS.

These savings occur across several aspects:

•  Lower cost of purchasing and maintaining physical infrastructure

•  Improved and simplified operational processes which minimize spends across process design, technical set-up, project management and testing

•  Lower cost on continuous improvements and activities such as application and system upgrades

•  Ability to dynamically manage resource usage in response to changing requirements

The cost benefits delivered by AWS also compound over time, with businesses that have been using it for a longer period to run their SAP reporting higher cost savings.

While there are several approaches to migrating applications between clouds, not all of them yield similar results. When it comes to moving SAP workloads, it is important to plan a detailed migration strategy so as to ensure minimal disruption for the business. And hence, it is advisable to know the possible challenges to expect during migration, and how to work around them.

CloudEndure may not work

One way to migrate SAP from Azure to AWS is by using CloudEndure Migration. It offers an automated cloud migration solution with a lift-and-shift approach. However, what appears to be a simple enough solution on paper can run into several roadblocks once executed:

•  The CloudEndure agent does not support Linux Suse12 SP3 servers for Azure to AWS migration

•  Azure and AWS have different Hardware Virtual Machine (HVM) layers, with varying processor families, leading to compatibility issues

•  This can result in having to move all your applications and databases manually from Azure to AWS, which can be an extremely error-prone and cost-intensive process

It is possible to work through these challenges individually, like adopting a different migration path for Linux servers or choosing to move ahead with manual migration of databases. But the overall migration process in itself remains inefficient and can bring down the productivity and performance of the final implementation.

So it’s advisable that you find a more comprehensive solution to migrate SAP workloads from Azure to AWS.

Leveraging AWS Server Migration Service

Starting, April 2019, Amazon announced support for Azure to AWS migration with the AWS Server Migration Service (SMS). Currently, AWS SMS is one of the best methods to migrate your SAP workloads running in Microsoft Azure to AWS Cloud. You can discover your virtual machines running SAP on Azure, bundle them into applications, and swiftly move them to AWS. The key advantages of this are:

•  Completely eliminate the hassles of replicating individual servers or decoupling application dependencies

•  Reduce time taken for migration

•  Reduce the risk of errors during migration and any consequent downtime

Media workflow across the media value chain is undergoing steady directional changes. Traditional media model see a huge challenge to produce and repurpose content. AWS  is rapidly evolving it’s technological landscape for Media players. One of it’s service is AWS CloudFront for Media players

The article helps you understand how AWS CloudFront can enable media players  can redefine their customer engagement practices with variety of content across channel.

The linear production system has been usually slow as most of the departments heavily rely on each other for the completion of desired activities. The production stages are siloed, marked with isolated technology platforms, and thus require constant content ingestion in each production phase. Dependability on physical videotapes meant the extra burden of power, space, and maintenance for storing archived and stock content. This leaves little room for complicated Content Distribution and Management workflows ending up with time, money and effort-costing outcomes.

Processing

The type of content to be produced hugely influences the processing aspect of the media industry. With the format and context of digital content continue to evolve and grow – addressing device, screen, and viewing priorities of consumers – they require standalone processing capacity and efforts.

Technology

The need for comprehensive content management software that touches the complete media production and distribution lifecycle makes media companies go for custom-built solutions or adopt dissimilar software into the process – making the workflow prone to redundancies

Organizing

With huge demand to go for digital and redefined consumer preferences, traditional media companies sometimes make the hurried transition – without making a truly scalable model for operability. Staffs suffer from the lack of understanding of new practices, absence of allocating decision rights make security best practices confusing

AWS CloudFront is a global content delivery network supporting massive capacity that scale with highest possible performance possible. You can protect our content by regulating who can access our content.

The emerging models of digital media workflow transform each aspect of media today. It is helping entertainment companies to increase their flexibility with improved system adaptability.

Today, media players can embrace smart content distribution system. The industry-wide innovation improving  customer service. It is also minimizing deployment support efforts, reduce operational costs, and increasing IT security and reliability.

The workflow need not necessarily begin or ends with it, it requires continued innovation, and adaptability with changing technologies and priorities of content in relation to the media house that seeks to transit from the traditional model and thrive in a matured workflow. Many new measures need to be integrated with changing demands and make the workflow aptly aligned with the organizational objective.

If you are an enterprise with a global web audience doing different activities with the stuff you provide, then you can use AWS CloudFront.

Some of the key areas where AWS CloudFront can work are:

• Live Media broadcasters delivering live video's, news, sports and other events

• Entertainment media players delivering movies, music etc.,

• Software resellers, hubs where users are allowed to download the software, updates and patches.

• Educational content distributors or e-learning players

• Video Games and other players.

With AWS CloudFront, media organizations benefit with low latency, high data transfer speeds with almost no commitments. It brings agility, flexibility on a global scale.

AWS CloudFront can fine tune your users behaviors

Etag headers are sort of hash tags used for Web cache validation and conditional requests from browsers for resources. That means whenever the user requests something from his browser. If the website is in his memory/cache, AWS CloudFront will tag Etags and this behavior is automatically triggered.  Benefit for you is- You know who is viewing your content online, from where and from what device.

Speed up dynamic content without losing a bit in customization

You can use AWS CloudFront as a proxy for both Amazon S3 where your static assets are stored, and for your EC2 instance, or your on-premises Custom Origin server-where dynamic content is generated.  This allows you to optimize the network and path.

Better scalability, improved availability, and reduced costs

You can build and configure the security features, control of the service and make content changes on the fly.  The best part is AWS cloudFront includes Reporting. It helps you to analyze your CDN performance and change the way your CDN is integrating with your application.

Minify is Transforming IT With Cloud Orchestration. Over the years, we have redefined how companies look at their operation using true transformative practices. With an aim to join collaborative engagement practice, improve the quality of value we stand for and to extend our learning initiatives.