Why Should Enterprises Move into DevOps?

Why Should Enterprises Move into DevOps?

DevOps has become the talk of the town these days and enterprises are rapidly adopting its practices within their day to day functions, to enhance operational efficiency. Businesses can gain a variety of benefits; these the benefits are not dependent on the business size or the nature of the company.

Now the question is why should enterprises move into DevOps and what can they gain with this movement? For large scale enterprises, moving to DevOps might seem like a daunting experience, given the series of unknown elements at play within the field. However, if one were to look at the bigger picture, the benefits would emerge to be more than the risks involved.

Customers want convenience in their day to day operations. For this very reason, there is a lot of pressure on enterprises to perform well, while automating their day to day operations. Without the involvement of DevOps and the automation facilities it brings along with, it becomes difficult for businesses to meet customer demands in an ideal scenario.

Resons For Enterprises to Move to DevOps

Continuous Delivery and Quicker Updates: Software updates in the traditional manner can take many hours, which might even span over a few days. However, with the launch of DevOps, the turnaround time for updating applications has become shorter. Faster delivery means that customer-facing applications will not lose their functionality and that any downtime will be shorter.

With the implementation of DevOps, enterprises can implement a more streamlined updating process, which is achieved by bridging the gaps between development, quality assurance, and IT. Using this method, operational performances and customer experience is enhanced.

Enhanced Workflow: Traditional methodologies come with their own set of inefficiencies, which can hamper production. Through automation, manual and repetitive tasks can be automated, so that human errors can be minimized; this would eventually mean that developers don’t have to double check input errors. For example, security risk checks can be automated, which can deftly point out any mistakes within the systems. Through DevOps, these security checks can be run continuously, to avoid having any risks.

Improved Innovation: DevOps is all about driving innovation through the use of agile methodology. Through the use of DevOps, enterprises can get rid of organizational work silos, and further be able to scale systems to meet the ever-changing needs of consumers and developers. As DevOps improves communications between work teams and eliminates silos within the organization, it becomes easier to work towards the company’s unified goals.

Automation and innovation come along with the implementation of the agile methodology, which helps enhance day to day procedures and removes inefficient processes.

Competitive Edge: New methods and the use of agile methodology can push companies forward, helping them to zoom past their competitors. There are numerous automation possibilities with the implementation of DevOps, which means that companies gain an edge over other companies who are still using the traditional methods of production in their day to day operations.

With the option to continuously update applications and gain constant feedback, there is a vast scope for instant delivery and improvement. As feedback channels open up, feedback can be implemented immediately, and enhancements become more active within the system; this undoubtedly leads to better production.

Early Defect Detection: Once the developer checks the code, a unit test is often run to gauge the defects. If a problem is found in the system, it can be reported and fixed immediately. This way, any probability of errors occurring in the later stages can be eliminated, which means there would not be any sudden surprises towards the end of the production line. Defects can be easily managed, and everything is taken care of initially with the help of DevOps.

Overhead Reduction: Less defect accumulation can often help enterprises save a lot of money by catching issues early. If a developer waits until the last minute to detect any possible problems, the chances are that a lot of money will be wasted attempting to identify the source of the problem.

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Why Has Cloud Technology Become a Necessity for the Majority of Businesses?

Why Has Cloud Technology Become a Necessity for the Majority of Businesses?

When you think of plug and go technology, the Cloud is likely the first thing which comes to your mind. Talk innovation, flexibility, and advancement, and the Cloud emerges as the clear choice for companies willing to take the risk in the long run.

What is Cloud computing all About?

Cloud computing is all about delivering power over the Internet. All in all, everything is accessed mainly through the web browser; there will be no local machines, servers or even infrastructure dependencies. With the introduction of the Cloud, businesses and consumers don’t have to worry about investing in IT resources like storage facilities, virtual machines, and other running applications.

Companies which made a move to the Cloud have reaped immense benefits from the shift. Companies which did not make a move are in danger of becoming obsolete over a period. If the transition is still pending for your business, then it’s time to get the ball rolling — the success of your business depends on the move to the Cloud.

What Are the Benefits of Cloud Computing and Why Is It Necessary for Businesses to Move to It?

Flexibility: As a company, there are high chances that your bandwidth needs will fluctuate on a day to day basis. If your needs progress, you can increase and scale up your cloud capacity, and the decrease it when there is no longer much requirement. This way, the possibility of being able to scale up or down gives you better leverage on your server; it also makes your business environment-friendly.

Disaster Recovery: What is the biggest fear for enterprises these days? Loss of valuable enterprise-wide data; this could pertain to customer data or even financial data. Businesses of all sizes have large collections of data; if any of it gets lost, the chances are that it could cost the company heavily. For this very reason, businesses try to invest in disaster recovery systems to safeguard their business against any data thefts or losses.

With the Cloud in place, companies can avoid investing in disaster recovery software, as the Cloud offers these services at minimal costs; this service is available to small and large businesses, at varying prices, depending on requirements.

Automatic Software Updates: Cloud servers are off-premise and out of sight; this means that there are no endless worries about security updates, or any other service updates, which can prove to be a headache if the business owns it. Since suppliers own the cloud infrastructure, it’s the supplier’s responsibility to roll out the required updates to ensure maximum performance delivery to the customers. Companies can benefit immensely, as they can concentrate on their core business delivery.

Freed From Capital Expenditure: Various suppliers provide Cloud services, which means businesses don’t need to spend a lot of money on purchasing server related infrastructure. Companies can pay as per their usage; these costs can also vary depending on their requirements. Since everything is the supplier’s hands, companies are not required to invest too heavily in purchasing their server, or storage space, as the supplier bears everything.

Better Collaboration Between Teams: Since an organization’s work is spread throughout the organization, different teams can access and manage their work. This way, there is an excellent collaboration between different groups, which increases work efficiency.

The Cloud by Your Side: Every company wants to move ahead of its competition in the market. As you run to the Cloud, you get a technological edge on your competitors, which keep you one step ahead of everyone in the market who might not be using this technology. Everything will spell success, as you get to reap the benefits of Cloud services.

 

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How to Make DevOps Pipelines More Secured?

How to Make DevOps Pipelines More Secured

Measures for continuous growth of an organization are imperative for successful business execution. Besides core DevOps, where these measurements are already uplifted, monitoring of the pipeline is also necessary; this does not merely include tool-based assistance to gear up processes, in fact, DevOps itself does not mark it as necessary. Instead, understanding the human needs of the security team, going through their workflow to grasp the limitations and pressures they endure, helps in securing the DevOps pipelines.

Additionally, explaining how a deployment pipeline works and what controls are in place — such as ensuring functional adherence performance and reliability; describing how these controls are visible to everyone and how the pipe stops when problems are found, can further enhance utility and security.

Therefore, it’s essential not only to secure the application and its runtime environment but continually enhance and secure the delivery toolchain and the build and test environments which are also equally important. Confidence should be boosted concerning the integrity of delivery and the chain of custody, not just for securing compliance for enhancing security, but also to ensure that necessary changes are made safely.

A continuous delivery toolchain is also a potential target of attacks: it becomes vulnerable in providing a clear path for making changes and pushing them automatically into production. If the toolchain is compromised, attackers have an easy way into the development, test, and production environments.

From stealing data or intellectual property to injecting malware anywhere into the environment, the attack can bring it all down. It even, in a sense, cripples the organization’s ability to respond to an attack by shutting down the pipeline itself. Thus, continuous delivery and continuous deployment effectively extend the attack surface of a production system to the build and automated test and deployment environment.

It is thus imperative to safeguard the pipeline against such attacks. But, the measure is not limited here, one also needs to protect the pipe from insider attacks by ensuring that all changes are fully transparent and traceable from end to end. Advanced automated steps mean that an informed insider cannot make a move without being detected and that they cannot bypass any checks or validations.

As the initial step, a threat model on the continuous delivery pipeline should be formed. Spotting weaknesses in the setup and controls, and loopholes in auditing or logging. After this, the following steps to secure the configuration management environment and the continuous Delivery pipeline must be taken:

• Strengthening the systems that host the source and build artifact repositories, the continuous integration and continuous delivery server/s, and the systems that host the configuration management, build, deployment, and release tools. Having absolute knowledge of what is done on premises and what is in the cloud helps in clearly understanding the environment potential and gain better control.

• Strengthening the continuous integration and continuous delivery servers by continuing to update the tools and plugins, and testing considering that simple tools like Jenkins are designed for developer convenience and are not secure by default.

• Configuration management tools are at the core that manifest system management. These need to be securely encrypted, locked down, and hardened for enhanced security.

• Often sensitive information such as keys, credentials, and other secrets are saved here and there. Such potential data must on a regular basis be taken out of scripts, source code, and plain-text files, and an audit must be performed through secure managers such as Chef Vault, Square’s KeyWhiz, etc.

• Securing access to the source and binary repositories, and auditing access to them.

• Implementing access control across the entire toolchain and disallowing anonymous or shared access to the repos, the continuous integration server, or the confirmation manager.

• Changing the build steps to sign binaries and other build artifacts to secure against tampering.

• Periodically reviewing logs to ensure that they are complete and tracing a change through from start to finish. Also, ensuring that the records are immutable and cannot be erased or forged.

• Ensuring the monitoring of all these systems as part of the production environment.

Through constant monitoring and taking these management steps, the DevOps pipeline is engaged in a continuous harmony towards a more secure platform. Indeed, tool cantered measures are essential, but taking considering the workforce into consideration also calls for equal care.

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How can Artificial Intelligence and Machine Learning Help with DevOps?

How can Artificial Intelligence and Machine Learning Help with DevOps?

Artificial Intelligence (AI) and Machine Learning (ML) have both become integral parts within the world of DevOps because of their ability to help developers break free from the chains of manual labor. DevOps is all about breaking down siloed developmental walls, and there is no doubt that AI and ML can help teams achieve their goal. With the combination of both these practices, efficiency and productivity can be further enhanced by providing additional performance to businesses.

How will Artificial Intelligence and Machine Learning Drive DevOps in the Future?

AI and ML are undoubtedly the best ways to drive efficiency and growth within processes; however, they do come with their own set of problems. The idea behind the implementation of these practices is to help organizations achieve their targets; however, what’s difficult is the fact that the application of the technologies into a company’s workflow might not be as easy as it seems.

To get AL and ML up and running within your business, you’ll need creative developers, who are well versed with the nuances of the two practices. Given this knowledge, it might be preferred to state upfront that the implementation of AI and ML will initially be quite a tedious task and that the learning curve would be slower than usual.

The above does not negate the fact that DevOps developers can still gain a lot of traction by adopting the essential features of Artificial Intelligence and Machine Learning within their day to day functions.

Through the successful implementation of AI and ML, management can expect to make rapid decisions, which can significantly benefit the business and further lead to improved profitability within the company.

To add a futuristic touch to the world of DevOps, AI and ML can help manage large volumes of data and solve computational problems. AI will eventually become the sole driver to assess, compute, and ease decision making within DevOps environments.

What is Artificial Intelligence’s Influence on DevOps?

Artificial Intelligence is the changing face of DevOps; it can change the way DevOps teams develop their tools, deliver their production goals, and deploy the changes within their functions. AI can mainly help developers improve an application’s efficiency, and enhance business operations.

To understand the influence of both practices, it’s best to summarize:

Improved Data Accessibility
Within the DevOps environment, data access is a big concern. However, this issue is addressed, when AI releases critical data from its formal storage place. Through the use of AI, data can be collected from different sources and made available in a single spot, which can then further be used for different types of analysis and production uses.

Greater Ease of Implementation
AI is all about self-implementing systems; this means, the transition of processes from human run systems to mechanical systems is seamless and smooth. When it comes to assessing human efficacy, one can understand how quickly system complexity is driven out.

Effective Use of Resources
Through the use of Artificial Intelligence, resources can be managed effectively, and judiciously, wherever needed.

How can Artificial Intelligence and Machine Learning be Applied to Optimize DevOps?

Organizations have come a long way, especially when it comes to technical transformations. DevOps and its implementation is no stranger to this concept. Couple the ideas of AI and ML with your organization’s technology hierarchy, and you can rest assured that you have a winning solution on your hands.

AL can also help create complex data pipelines which feed data into app development models. By the dawn of 2020, if predictions are to be believed, AI and ML will take the lead, and digital transformation will see the launch of a new technical era. However, like the two sides of a coin, even AI and ML don’t come without their own set of issues and drawbacks. To derive maximum benefit out of a DevOps structure, a customized DevOps stack is needed.

AI and ML, as futuristic concepts, have taken over the world of technology by storm. The combination of the two languages can go a long way in ensuring a steady ROI for an organization while enhancing the working of IT operations. Efficiency can take an all-new stage, and productivity can reach another level, if DevOps, AI, and ML can be fused together into one dependent model.

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Annual 2018 NMSDC Conference & Business Opportunity Exchange

NMSDC Conference
Event Details: The NMSDC Conference and Business Opportunity Exchange is the nation’s premier forum on minority supplier development. For four days, more than 6,000 corporate CEOs, procurement executives and supplier diversity professionals from the top multinational companies, as well as leading Asian, Black, Hispanic and Native American business owners and international organizations will convene in Austin, Texas to re-energize their collective efforts to Certify > Develop > Connect > and Advocate for solid minority firms in the global corporate supply chain.

A one-day Business Opportunity Exchange highlights the opening day of the conference. More than 700 exhibit booths provide the perfect backdrop for corporations and minority business enterprises to showcase their products, services and solutions. In the days that follow, thought leaders, chief procurement officers and seasoned minority business executives engage in panel discussions, plenary sessions and workshops to share best practices, current trends and issues, and next practices to bolster the value that minority suppliers deliver to its corporate customers.

The event culminates in a black-tie Awards Banquet to recognize outstanding achievements by corporate members, MBEs and affiliate regional councils in the NMSDC network. The event is expected to add approximately $7.5 million to the Austin economy.

This one-of-a-kind event features:

• Thousands of corporate executives, procurement professionals and Asian, Black, Hispanic and Native American business owners
• More than 20 targeted sessions and workshops
• A one-day Business Opportunity Exchange with more than 700 exhibit booths
• Matchmakers (By Appointment Only)
• A black-tie Awards Banquet
• Endless opportunities to network, network, network!

[Know more about the Conference]

About Idexcel: Idexcel is a Professional Services and Technology Solutions provider specializing in Cloud Services, Application Modernization, and Data Analytics. Idexcel is proud that for more than 20 years it has provided services that implement complex technologies that are innovative, agile and successful and have provided our customers with lasting value.

Anand Allolankandy – (Sr. Director Technical Sales & Delivery at Idexcel) will be attending this event. For further queries, please write to anand@idexcel.com

The Effect of Artificial Intelligence on the Evolution of Technology

The Effect of Artificial Intelligence on the Evolution of Technology

It has been well established that Artificial Intelligence has contributed to increased productivity, efficiency, and development of society. Artificial Intelligence involves the use of machines; therefore, companies in different sectors are making efforts to produce and develop several mechanisms that can take the place of humans.

The introduction of computers in 1970 was the beginning of Artificial Intelligence, and it has helped in the development of other software companies. Artificial Intelligence is very relevant to different sectors of the economy. Industries ranging from manufacturing, energy, healthcare, industrial services, construction, defense and so on.

The Scope of Artificial Intelligence
The effect of AI (Artificial Intelligence) in the evolution of technology cannot be emphasized enough. Instead of manual reasoning and tasks, the use of machines will provide high-quality performance effortlessly. In the finance and economic sector, the introduction of AI has improved organizational development to a great extent; supporting their implementation, fraudulent activities have been pre-determined and avoided simultaneously. The use of unauthorized debit cards in the wake of fraud prevention is easy to detect with the use of machines powered by AI.

Automobile Industry
Improved production of automobiles in the automotive sector has contributed to the evolution of technology with the creation of self-driving cars, drones, and self-driving trucks that can perform enhanced services – this enhancement has contributed towards the establishment of different automobile companies producing different brands of technology.

Software Giants
Artificial Intelligence has introduced amazing capabilities to the generation of new trends and technology. Companies like Microsoft, Google, and Apple have new improved features and products that positively affect the evolution of technology. Apple introduced Siri and Google’s AI technology can predict medical possibilities. With the introduction of Search Engine Optimization by Google, search engines have also been equipped to help draw traffic to your business website.

Corporate Sector
The evolution of technology does not only involve the creation of new gadgets or technology, but it is also aimed at simplifying different algorithms which turn technology into skills. Different online apps related to advertising, social media, and networking can replace the manual interactions between individuals all over the world. Apps like Instagram, Linkedln, Path, Slack, and Keynote are technological apps that perform both business and corporate actions. Staying connected with others could not have been easier than it is now.

Healthcare
The impact of AI on the healthcare sector will be enormous; AI has been geared to provide X-ray readings and apps that can remind you to take your pills every day. Also, rather than using the human mind to reason and represent, AI has been put in place to do all types of logical reasoning.

Financial Institutions
Technology does not necessarily have to be physical; it can also tend to be abstract. Therefore, this abstraction could play in the financial sector. Artificial Intelligence is employed to detect fraud, improve customer representation, recognition and handle the needs of customers. Book-keeping is not done using human labor anymore; there are machines in place that calculate the daily transactions in every banking or financial system.

Entertainment
The entertainment sector has widely improved due to the availability and evolution of exciting technology. Video game consoles such as the Xbox and PlayStation have replaced old video games and further reduced the physical activity of people. Is this a good thing or a bad thing? It’s best for you to decide. Therefore, people sit in the comfort of their home to play soccer and still manage to get the satisfaction of physical activities. Is this psychological pleasure worth the effort? Well, yet another point to ponder on in the long run.

The Effects of Artificial Intelligence
The effect of AI in the evolution of technology will improve both customer and manufacturers’ experience and analytical marketing. Instead of individuals performing specific dangerous jobs, intelligent machines can be used to replicate manual efforts. With Artificial Intelligence in place, there is near 100% accuracy, efficiency, and error-free performance.

Artificial Intelligence has affected the evolution of technology in different sectors, and the world has experienced its magnanimous reality. It has been statistically proven that in years to come, AI will expand significantly and its impact will dramatically emerge within every norm of our society.

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The 5 Best Practices for DevOps in the Cloud

The 5 Best Practices for DevOps in the Cloud

The Cloud is known for offering scaling and automated provisioning facilities to accommodate potential changes that can affect applications. DevOps is used for streamlining an application’s progress so that user requirements can be mapped according to the appropriate application production queues.

Even though DevOps is considered to be a helpful tool, IT Engineers tend to utilize them in the wrong way; it can be rightly said that this is just due to the lack of study and understanding in the field of DevOps. Individuals who are skilled in the nuances of the IT sector don’t necessarily understand the correct functionality of DevOps and its powers in the world of technology.

Implementation of 5 Common Practices

Rely on Security For Your Cloud
It is common that security standards are permitted to change on a regular basis in the cloud. Usually, one can integrate different types of technologies, such as identity-based security models, to enhance security within the cloud.

However, security also needs to be extended to the organization and the individual DevOps tools, which will lead to the creation of a secured cloud; this can go a long way in keeping organizational processes safe at all times.

It’s important to understand that there is never enough security. In some way, there is always another way to add an extra layer of protection without affecting the existing security structure. It is even helpful to employ a security officer, whose job focus will be on monitoring security within the DevOps process, in conjunction with the cloud.

Choose DevOps Tools That Work with Multiple Cloud Systems
Due to the integration of technology over the past three to four decades, a collection of development has led the computing and technology industry towards more advanced software development.

Today, IT specialists and engineers, along with coders, are in remarkably high demand. In fact, obtaining a qualification in these fields will almost ensure you a high profile career; however, it doesn’t come without its own set of challenges.

DevOps is quite challenging to understand; it forms a part of a much higher public cloud provider, which can be tedious to follow. It’s never a good idea to lock your process knowledge and applications on a single platform within the cloud. In fact, applications should be established on various cloud platforms for safety purposes – this way, one can ensure maximum security within both public and private clouds.

Integrate Automated Performance Testing
On many occasions, performance issues don’t get recognized in time, which causes cloud users to discover and report them after a lag in time. Since the cloud is considered to be such a large storage platform, this isn’t a sound methodology to follow. Regular performance testing is a necessary component of application design, which works towards preventing such issues from occurring.

One can enhance the production of poor-performing apps by automating and testing their performance on a regular basis. During this process, the idea is to ensure that the existing testing procedures for user interfaces and APIs are stable and accurate at all times.

Consider Using Containers
Applications can be enhanced by making use of containers, which are both well-managed and portable for your convenience – you could integrate them into the relevant DevOps or Cloud strategy to bring out the best out of each application. One can also consider making use of cluster management, security, and any orchestration tools that might prove to be advantageous to you in the long run.

Deploying containers for building applications won’t always work; however, it’s important to keep trying to garner any advantages one can gain through the use of technology.

Make Applications Cloud-Native
Use your Cloud platform and the infrastructure wisely and choose to design applications that don’t have to rely on any physical resources. Understand the efficiency involved in the deployment and overall development stages of all apps, as well as their underlying resources in the cloud. Chances are, you can improve your overall performance by 70%; this, in turn, will save your organization money as your resources will be far more efficient, thereby, allowing your organization to garner monetary savings on a monthly basis.

By implementing these five practices for DevOps in the Cloud, you’ll be able to integrate the two more efficiently, allowing for ultimate success.

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The Future of Machine Learning

Future of Machine Leaning

Technology is innovating and revolutionizing the world at a rapid pace. Machines are taking over the world; believe it or not – this is not a celluloid fantasy anymore. Both Machine learning and Artificial Intelligence might appear to be the same, but the reality is that they are different than each other. Yet, they are both used in conjunction with each other to drive efficiency and capacity automation in the various fields of society.

Technological Innovation for Convenience
Workforce handling is tedious and less productive; this is where Artificial Intelligence has lucratively overcome the age-old system of manual labor. With the world moving at such a fast pace, monitoring has become a constraint for most organizations; for this very reason, Artificial Intelligence and Machine Learning are used more as tools of convenience rather than just pieces of technology.

We have seen how accounting systems have replaced ledger books. At the same time, processes have been set up to align machines with organizational requirements effectively to balance everyone’s demands.

However, with the way Artificial Intelligence is advancing, it seems this technology is quickly going to change the way processes are functioning. Not only trends on social media will be affected, but even marketing will see a complete makeover through the use of Artificial Intelligence.

The Effect on Various Fields
When it comes to Artificial Intelligence, everybody wants a taste of it. Right from marketing experts to tech innovators to education sector decision makers, Artificial Intelligence holds the capability to pave the path for a healthy future. Artificial Intelligence has been designed to provide utmost customer satisfaction. To derive maximum results from the nuances of AI customer-centric processes will need to align their business metrics to the logic of this latest technology.

As Big Data evolves, machine learning will continue to grow with it. Digital Marketers are wrapping their heads around Artificial Intelligence to produce the most efficient results by putting in minimal efforts. The entire algorithm and the build of Artificial Intelligence will be used to predict trends and analyze customers. These insights are aimed at helping marketers build patterns to drive organizational results. In the future, it seems like every basic customer need would be taken care of through fancy automation and robotic algorithms.

Healthcare Sector
The healthcare industry is one of the widely reckoned industries in the world today. Simply put, it has the maximum effect on today’s society. Through the use of Artificial Intelligence and Machine Learning, doctors are hoping to be able to prevent the deadliest of diseases, which even includes the likes of cancer and other life-shortening diseases.

Robots Assistants, intelligent prostheses, and other technological advancements are pushing the health care sector into a new frenzy, which will be earmarked towards progressing into a constantly evolving future.

Financial Sector
In the financial sector, it’s vital to ensure that companies can secure their operations by reducing risk and increasing their profits. Through the use of extensive Artificial Intelligence, companies can build elaborate predictive models, which can successfully mitigate the potential of on-boarding risky clients and processes; this can include signing on dangerous clients, taking on risky payments or even signing up on hazardous loans.

No matter what might be the company’s requirement, Artificial Intelligence is a one-stop shop when it comes to preventing fraudulent activities in day to day operations – this, in turn, will lead to money saving possibilities, profit enhancement and risk reduction within every organizational vertical.

Robotics
We are steadily heading towards a future which will be marked complete with the rise of robotics and automation; this is not going to be restricted to the medical sector only; intelligent drones, manufacturing facilities, and other industries are also going to be benefited by the rise of robotics. Artificial Intelligence methodologies like Siri and Cortana have already seen the light of day – this is just the beginning. More and more companies are going to take these capabilities to a new level.

As more and more military operations begin to seek advantages from the likes of mechanized drones, it won’t be long before e-commerce companies like Amazon start to deliver their products through the use of drones. The potential is endless, and so are the possibilities. In the end, it is all about using technology in the right manner to ensure the appropriate benefits are driven in the right direction.

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