Best Practices for Ensuring DevOps Security

Posted on June 26, 2019January 21, 2021 by Idexcel Technologies

It is often the case that there is no intersection between security modules and DevOps in a manner that is convenient. Naturally, security is an integral part of an organization, but the way we introduce its tenets at every crucial part of the DevOps process has been difficult to achieve since its inception. Usually, due to a general lack of expertise in the matter, the implementation of security becomes unbalanced, which hampers the speed and agility of the environment. The solution lies in partnering with the right team to lay out the security measures intelligently. Here’s how you can achieve this:

1. Implement latest policies
Your governance policies must be updated throughout the evolution of your company. While most codes of conduct remain omnipresent and intact within every company, some behavior control is specific to each company’s unique set of IT protocols. These codes of conduct must be properly followed throughout the entire pipeline to ensure there is zero leakage of data. Creating a transparent governance system also provides the engineers with the opportunity to openly share their concerns over anything that may seem fishy within the company. Many people overlook this aspect of security for being non-technical and moralistic, but enforcing and fostering such an environment in DevOps leads to long-term benefits.

2. Integrate DevSecOps
Optimally-secured DevOps requires collaboration from multiple paradigm internal functions to ensure that the security measures are implemented at all stages of the development cycle. Development, design, operation, delivery and support all require equal care and maintenance, and DevSecOps ensure you that you achieve this balance. DevSecOps is embedded throughout the DevOps workflow for balanced governance, and it renders cybersecurity functions such as IAM, privilege management, unified threat management, code review, configuration review and vulnerability testing. In such an environment where security is properly aligned with DevOps, you are able to attain a higher profit margin while minimizing costly recalls and post-release fixes.

3. Ensure vulnerability management
Systems should be thoroughly scanned and assessed to ensure there is security adherence at developmental and integration levels in a DevOps environment. The task of such an assessment is to inform the team of all the possible loopholes in the processes before production begins. Penetration testing is a great tool that helps track down weaknesses at these levels so that a prompt response can patch these issues.

4. Implement Automation
Human intervention increases the chances of errors in intricate tasks such as IAM, privilege management, unified threat management, code review, configuration review and vulnerability testing. It is best that you automate these processes in order to get more time to run security tests on your already refined product, while also minimizing system downtime and reducing vulnerabilities. Automating security protocols helps by not only increasing the speed of your testing and management, but also by improving your profits significantly.

5. Perform device testing
We often forget that the machine on which systems are working also need to be constantly checked for their performance, both in terms of efficiency and security. You cannot perform securely even if you have a software with top-tier security features if the machine on which it is loaded is malfunctioning. Ensure that these devices throughout the entire DevOps cycle are constantly being validated in accordance with your security policies.

6. Segment the networks
A continuous network flow might keep things easy and straightforward, but going this route will also make it easier for cybercriminals to access your servers. This problem is easily addressed by ensuring there is limited access on your application resource server. You can segment the networks so that no one error is spread throughout the DevOps environment, while also ensuring that no hacker has full access to all the data spread on the network.

7. Improve privileged access management
Admin controls provide a window in taking control of the data. The higher number of people have control over it, the more anarchy there is at handling the systems. Therefore, in an agile DevOps environment, try to minimize administrative privileges on various machines wherever possible because the more accessed a data point is, the more prone it is to security threats. Instead, you can store private and sensitive data on only a few local machines because apart from improving your security, doing so also makes it easier to manage. From this point on, you can monitor the legitimacy of your security in the aforementioned environment.

Conclusion
When paired smartly, Security and DevOps culminate in a productive intersystem. The tenets for reducing errors includes the identification of errors and scope of errors, limiting access to the network, ensuring there is minimal access, as well vulnerability management. The focus in DevOps must be more on the prevention of error rather than rectification of it. The tips outlined above help you achieve exactly that.

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Business Benefits with Serverless Computing

Posted on June 24, 2019October 8, 2019 by Idexcel Technologies

The cloud has redefined the way we look at technology. One such redefining moment occurred in 2014 when Amazon Web Services (AWS) unveiled serverless computing, AWS-Lambda, that promised a few previously unforeseen advantages to businesses. Serverless computing, as the name suggests, requires no server housing, in addition to the benefits of continuous scaling and balancing, automatic fail-over, and sub-second metering (pay as you use). Below, we have listed in detail five ways through which your business will benefit from serverless computing.

Cutting Production-to-Market Distance

Conventionally, in a business, you are required to afford a production house wherein you will house your planning, design, and development, before final production; this requires you to manage infrastructure, server setup, and storage capacity with an immediate effect. With serverless computing, you no longer have to worry about these hurdles that mediate between your production and its market readiness. All you need is a serverless computing provider who will take care of your server needs immediately, and you will not need to dedicate a particular place for carrying the planning design and development—all of that can be managed on a serverless cloud.

Increased Benefits

With sub-second metering, wherein you only pay for the resources you have used, production costs are cut significantly which enables you to provide your product at a competitive price. Further, housing and maintaining servers is perhaps the costliest component of business for some enterprises which rely heavily on servers, such as online games and data retrieval websites/applications. Therefore, by using serverless computing, at one hand you eliminate the production-to-market, and on the other side, you cut down your costs — this directly leads to competition readiness where your product is better, cheaper and readily available.

Minimizing Fixed Costs

Fixed costs keep a substantial value of your product stable, irrespective of the delivery time, quality or price. Your product price has to be flexible to accommodate market competition. If competition arises, you have to be ready with strategies that give your product a better edge over the competing product. Serverless computing enables you to turn your fixed costs into variable costs by rendering continuous scaling and balancing. You no longer have to worry about maintaining your fixed assets that get occupied in housing servers. Turning these fixed costs into variable costs gives you the advantage of being flexible with the price decision.

Easier Pivoting

New businesses often need to relocate their focus of attention depending on their target audience. Serverless computing allows you to rotate this focus of care for the application that can be used differently in varying conditions. The pivoting might include revamping the application/website or redefining media promotion according to the required task. With serverless computing, you can have unlimited scaling which enables you to widen your market reach. You can also use containers (individualized services) to enhance the pivoting, since in that scenario you will not need massive rearrangement of your service packages, to keep you from an entire service crash.

Improved Development Management

From planning to production, application building consists of many sub-steps. Two most important of these are development and testing. Serverless computing gives you advantages that are otherwise absent from server computing. For example, serverless computing helps you to have a better overview of the development through independent service management. You can track and plan your progress of an individualized service according to its current status. Furthermore, these services are very convenient to be tested—the code is clean, organized and therefore easy to track. With these advantages, it becomes natural for development to be accelerated and checking to be more accessible and precise.

Serverless computing has many advantages in treasure for businesses. Through the help of serverless computing, products can be market specific, cheap, advanced, and adapt, all at the same time. All they need is an excellent service provider who unfolds to the business owners the vast repertoire of advantages of going serverless. Businesses can be competition ready through optimized development and testing and timely delivery of the optimal product at a reasonable price.

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Data Backup and Recovery in Cloud Computing

Posted on June 21, 2019October 18, 2019 by Idexcel Technologies

The cloud has become one of the hottest topics of conversation in the world lately. Thanks to its plethora of advantages, it has become an essential part of the data storage market for organizations of different sizes in a variety of industries. When one talks about data storage, data backup and data recovery also become integral parts of the conversation as well.

Given the increasing number of recent data breaches and cyber attacks, data security has become a key issue for businesses. And while the importance of data backup and recovery can’t be overlooked, it is important to first understand the what a company’s data security needs are before implemented a data backup and recovery solution within the world of cloud computing.

1) Cloud cost: In most cases, just about any digital file can be stored in the cloud. However, this isn’t always the case as the usage and the storage space rented are important elements that need to be taken into account before choosing a disaster recovery plan. Some data plans can include the option of backing and recovering important files when necessary. They can also include options on how they are retrieved, where their storage location is, what the usage of the servers look like and more. These elements might seem trivial in the beginning, but they may prove to be important later on during the disaster recovery process. Different cloud vendors provide server space to businesses according to the their usage, and organizations need to be clear about what they are storing in the cloud, as well as what pricing tier plan they would like.

2) Backup speed and frequency: Data recovery is not the only problem on tab when considering data backup within the cloud. Some cloud providers transfer up to 5TB of data within a span of 12 hours. However, some services might be slower, as it all depends on the server speed, the number of files being transferred and the server space available. Determining and negotiating this price is an important point to consider in the long run.

3) Availability for backups: During the disaster recovery process, in order to keep a business firing on all cylinders, it is important to understand the timelines for recovering the back p data. Backups should be available as soon as possible to avoid any roadblocks that may negatively impact the business. The cloud vendor can inform you of the recovery timelines and how soon backed up data can be restored during a disaster situation.

4) Data security: The security of stored data and backups needs to meet certain security guidelines in order to prevent cyber criminals from exploiting any vulnerabilities. The cloud vendor needs to ensure the all backed up data is secured with the appropriate security measures such as firewalls and encryption tools.

5) Ease of use: Cloud-based storage comes with its own set of servers, which should be available from the business location and any other locations as needed. If the cloud server is not available remotely as well as from the business location, it won’t serve the purpose it is needed for. User experience should be an important factor in the backup process. If the procedure for data recovery and backup is not convenient, then it might become more of a hassle.

Data recovery is an integral part of the cloud computing world and it needs to be taken seriously with a great degree of planning from all ends.

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Six Secrets to Big Data Success

Posted on June 20, 2019January 21, 2021 by Idexcel Technologies

Big Data has played a role in helping a number of industries immeasurably, as its role in the business world is becoming more important with each passing day. However, even though the utility of Big Data in a professional setting is immense, there are very few organizations capable to utilizing the technology at an optimal level to boost their operations.

A large number of companies fear that they will make mistakes with the technology, which stops them from moving forward with Big Data analytics and maximizing its value. This is because, when used poorly, Big Data analytics can make false predictions for the future. However, when implemented correctly, Big Data offers a lot of upside to an organization. Combine its capabilities with a focused vision and a competent team, and there is a good chance the technology will bolster your company’s operations and profitability.

Keep reading as we will help you develop such vision with our insights on how you can be successful with Big Data.

1. Skills matter more than technology

It’s no secret that without the right technological tools, it is nearly impossible to succeed in a growingly competitive and sophisticated business world. Nevertheless, technology alone is not enough to help you attain this success—having the skills to operate the technology properly is also needed. While talking of Big Data, your team’s skills are far more important than the technology itself since technical ability has a very small role to play in Big Data analytics. The Big Data analyst must have know how to come up with right business questions, developing a clear forward path to make the best of the technology. The analyst must also be competent enough to parse and analyze the unstructured data through pattern recognition and hypothesis formation. Eventually, the analyst should know how to use the appropriate statistical tools to generate a predictive analysis. It is not necessary for the analyst to have all these qualities before joining the organization. Instead, the organization must conduct workshops every now and then to update analysts on the latest uses of Big Data to add value to your business.

2. Run necessary pilots

Big Data Is generally adopted by firms that want a predictive analysis of market trends that they can use to to plan for their future. Such predictions are not always unearthed in a manner that ends up being useful to your organization. If the predictive data cannot be applied to your business, Big Data will not yield the fruits of success that you seek. Therefore, it is highly advisable that when looking for data-based predictions, you should run a pilot to determine whether your predictions can be applied to improve your systems or not. Doing so will not only help you rectify your errors, but will also help you redefine your prediction in a manner that better suits your market needs. Furthermore, running a pilot will also reveal any weak points on your plans from their inception through the execution of them. Thus, one pilot will strengthen the quality of your operations, as well as the overall strategies of your business.

3. Formulate targeted analysis

It is imperative that the data you compile from the market is raw and unstructured. The amount of data available is expected to grow eightfold over the next five years, according to Gartner, most of which will be unstructured. Keeping this in mind, organizations must ensure they are ready to parse and analyze the data in a manner that will be beneficial to your business. Targeted analysis is key as one dataset may be used to unearth insights about multiple topics, while other pieces of information may not need to be extracted as they may not be relevant to your goals. Know what you’re hoping to achieve before extracting insights from your datasets, and then proceed to analyze the data. Having the right technological tools beforehand that you can use to store and analyze data is key. Always keep a backlog with indices for relevant interpretations of the data, so that when you need to extract information from the same dataset in future, it will be readily available for any future analysis.

4. Extract the best data possible

Even a small dataset can sometimes prove to be effective in developing predictions, while it is also equally possible for big sets of unstructured data to lead you nowhere. Aim to always narrow the focus of the data you compile for analytical purpose without compromising the robustness of the predictions. Going this route will save you plenty of time, while also helping you attain an accurate and actionable prediction. Don’t continue running massive sets of unstructured data in the hope that it will definitely lead you to a robust prediction as this is a waste of your time.

5. Keep predictions within your organization’s operational ability

Do not aim for predictions that lie outside the ability of your firm. Not all organizations are equipped with the skills and technological prowess to make the most of your predictions, so make sure your predictions are targeted within your means. Most organizations have a limited amount of wiggle room and the challenge is to come up with predictions that your organization is comfortable with. Do not exhort unnecessary operational pressure on your organization because it will only hamper the pace and confidence of your workers.

6. Be adaptive

The best results in Big Data analytics are achieved when the most actionable predictions happen to be affordable for your firm. As discussed earlier, don’t place an unnecessary burden on your firm in the hopes of achieving the best prediction possible. Instead, bring adaptive changes to your firm slowly in a way that will help it accommodate the best of ideas. When these ideas match the capabilities of your firm, great results will be only an arm’s reach away.

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AWS Summit – Chicago

Posted on May 27, 2019October 8, 2019 by Idexcel Technologies

Event Details: The AWS Summit Chicago is a free event designed to bring together the cloud computing community to connect, collaborate, and learn about AWS. Summits are held in major cities around the world and attract technologists from multiple industries, segments, and learning levels who want to learn how AWS can help them innovate with speed and deliver services with scale, flexibility, and reliability.

Featured Topics: Choose from 80+ technical learning opportunities ranging from introductions to deep dives and includes small group hands-on workshops, lecture-style sessions, and open mic whiteboarding chalk talks. Topics will cover but are not limited to Machine Learning, Artificial Intelligence, Serverless, Compute, Databases, Security & Compliance, and more.

[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 21 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) and Jed Tonelson – (Director of Cloud & DevOps Sales at Idexcel) will be attending this event. For further queries, please write to anand@idexcel.com or jed.tonelson@idexcel.com

Cloud Security Challenges for Enterprises

Posted on March 20, 2019January 21, 2021 by Idexcel Technologies

To expand business reach owners are moving to cloud-based environments where they have the flexibility of choosing the capacity of the cloud based on their relevant requirements. Additionally, the cloud gives you the option of accessing your system files and making adjustments to them anytime, anywhere. In short, the cloud is cheaper, more efficient, and market ready.

However, security has long been a concern for cloud-based services, and this is the reason why some firms still refuse to move their application to the cloud. Some of the leading such challenges are outlined below to help you understand the matter.

Tackling DDoS Attacks

Any enterprise that collects more data becomes prone to malicious attacks. One of the most prominent of these attacks is the Distributed Denial of Service (DDoS) attacks which can cripple a server for hours or even days; these are designed to overload the server with malicious commands that continue running on the server and consume exponential amounts of system ram so that the server doesn’t run smoothly. These attacks may be thwarted if we first take proper measures well in advance, such as deploying DDoS protection that is specifically designed to prevent this attack. Eliminating the possibility of these attacks will help a company restore its compromised wealth, trust, and brand authority.

Avoiding Data Breaches

Another prevalent type of security challenge is data breaches that take within the server; these breaches are mostly external, but sometimes the internal members of the service providers also become a reason for the violation. More than to the customer, a data breach is a threat to the service provider. The service provider has to meet several security compliances and policies. A failure to keep those intact policies results in direct defamation of the brand of the service provider. Therefore, the service providers take proper measures to eliminate those threats and use provider as well as customer lever encryption. Most of the time, the breach happens due to the customer’s improper conduct of sensitive information.

As a necessary security measure, sensitive data on the cloud must be encrypted and given minimal access especially when the cloud is public. Further, choosing the right vendor who gives you added securities such as firewall and software support system would also minimize the probability of a data breach.

Overcoming Data Loss

Another kind of security challenge is tackling data loss from the cloud. Data files can become corrupted in the cloud for several reasons which include improper planning, data mixing, and mishandling. Again, the service provider does not have much space to be responsible for these threats. While maintaining your data, especially the system files, make sure that you close all portals before leaving the session. As a fundamental measure, always keep at least one copy of the data with you, in your drives. The only way you can bring back your data will be that extra copy of the data. It’s very crucial, so make sure you have made the copy.

Strengthening Access Points

One of the actual advantages of the cloud is that it gives you the flexibility of accessing your data from different virtual points. That is, even though your data is primarily stored in one server, you can potentially access it from anywhere else where you have a portal. However, these portals are not always secured sufficiently. To be maintained, security measures require time and funding. Increasing the numbers of access points will invite massive budget imbalance. In such a scenario, the access points not providing sufficient security might fall prey to hackers and cause breaches or loss of data. As a solution, one might want to restrict the numbers of access points so that a proper security model for these access points can be maintained.

Prompt Notifications and Alerts

This challenge sprouts from the multiplicity of access points. As pointed out earlier, we should aim to restrict the numbers of access points. Now, even if a threat arises, it will be easier to locate and eliminate. Additionally, the notification and alerts system will be able to function better, as it won’t seem to spam the notification system. Since the notification system is the cornerstone of your security system, it must be properly maintained—the messages should be prompt, clear, and explanatory. If not kept in such a manner, the notifications won’t make sense to everyone in the company, nor they would be informed in time.

With the right parameters, one can easily tackle these cloud security challenges for an enterprise. Just have the right service provider, technology, and planning by your shoulder to keep the environment running smoothly.

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Why Enterprises Should Adopt a Multi-Cloud Strategy

Posted on March 11, 2019January 13, 2021 by Idexcel Technologies

There is no denying the fact that hybrid clouds have become one of the prominent topics of discussion within the technology industry. Since the hybrid cloud structure is all about mixing public and private cloud platforms to do an organization’s bidding, it has become the backbone of data strategy and operational processes within organizations.

By using a mix of the two cloud platforms, businesses can gain an additional level of flexibility within their day to day operations. While hybrid might seem like it is here to stay, it’s not the only cloud trend which is doing the rounds of tech circles. Multi-Cloud strategies are also trending high on the grapevine, as more than 79% of companies have already started using this concept. As the hybrid cloud concept is setting the pace, the multi-cloud model is racing its close competitor.

As the name suggests, the term ‘multi-cloud’ refers to the use of multiple cloud vendors across the business’s architecture, thereby allowing businesses to spread their workloads into different environments. This way, companies can obtain the best of both worlds, along with agility and flexibility. Keeping the balance between public and private cloud helps achieve the perfect equilibrium between business agility and cost efficiency. Such benefits of adopting a multi-cloud strategy within your enterprise include:

Better Options with Greater Resiliency

There are a series of providers; Amazon’s AWS rides high on its cost-effectiveness, Microsoft Azure offers a robust enterprise presence, while Google’s GCP is best in the field of analytics. With multi-cloud in place, an enterprise can benefit immensely from all of these factors, so that you can choose the cloud platform which best suits your needs. Mix and match the best combination, so that the enterprise is not restricted to one cloud provider for all its data storage needs.

No Vendor Lock-In

Ideally, in a multi-cloud arrangement, you are never spoiled for choices. Simply put, if one vendor increases their prices, or wants to stop their services, you always have an option to use another vendor’s services. This way, there is no dependency on one cloud provider for their services. In other words, one should not place all their service eggs in one cloud basket.

Security Enhancement

A Distributed Denial of Service or DDoS attack can impact several computers at the same time, especially when it causes a denial of services to the owners and users. If all your enterprise’s resources are powered by one single cloud, which falls prey to such DDoS attacks, chances are your firm will take a significant hit and end up with massive financial losses. Security is enhanced within a multi-cloud approach, as each cloud service provider provides its security systems, which can handle the load of the fallen cloud servers.

Expense Reduction

Expense reduction is a rather simple economic concept; as the services are spread over a few cloud service providers, enterprises can gain a competitive advantage while availing services. To make their services available to a higher number of businesses, service providers often try to reduce their prices to make their services user-friendly.

Challenges Within Multi-Cloud Implementation

There is no denying the fact that the application of a multi-cloud structure comes with its own set of challenges and issues. Deploying the services of multiple cloud vendors is not an easy task, as it is not easy to combine the functions of various cloud vendors under one roof.

Each service provider brings its own set of pros and cons, which make it difficult to combine their services. During the implementation stage, it is essential to understand the exact location where the data is stored, how this data source needs to be merged with the new platforms, and what difficulties can be incurred during the implementation stage.

Most of the times, enterprises lack the budgets for this implementation. Private platforms come with their own expensive set of services, which act as inhibitors for the users; however, as the cloud continues to evolve, there are a lot of changes in the technological horizon. With this thought in mind, multi-cloud has emerged as the preferred choice for most businesses, since it provides great agility and cost-effectiveness.

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The Differences Between Cloud and On-Premises Computing

Posted on March 8, 2019October 18, 2019 by Idexcel Technologies

Cloud computing has recently gained popularity due to the grace of flexibility of services and security measures. Before it, on-premise computing was the one reigning the kingdom due to its sheer benefits of data authority and security. The critical difference on the surface between the two is the hosting they provide. In on-premise computing, to host the data, the company uses software installed on company’s server behind its firewall, while with in-cloud computing the data is hosted on a third party server. However, this is only the surface difference—the deeper we dig, the larger the differences become.

Cost

On-Premises: On-premise involves personal authority on both computing and the data—they only are responsible for the maintenance and upgrading costs of the server hardware, power consumption, and space. It’s relatively more expensive than cloud computing.

Cloud: On the other hand, cloud users need not pay the charges of keeping and maintaining their server. Companies that opt for the cloud computing model need to pay only for the resources that they consume. As a result, the costs go down drastically.

Deployment

On-Premises: As the name itself suggests, it’s an on-premises environment, in which resources are deployed in-house on the local server of the company. This company is solely responsible for maintaining, protecting and integrating the data on the server.

Cloud: There are multiple forms of cloud computing, and therefore the deployment also varies from type to type. However, the critical definitive of the cloud is that the deployment of data takes place on a third party server. It has its advantages of responsibility such as the transfer of security and extension space. The company will have all the access to the cloud resources 24×7.

Security

On-Premises: Extra sensitive data is preferred to be kept on-premise due to security compliances. Some data cannot be shared to a third party, for example in banking or governmental websites. In that scenario, the on-premise model serves the purpose better. People have to stick to on-premise because they are either worried or have security compliances to meet.

Cloud: Although cloud data is encrypted and only the provider and the customer have the key to that data, people tend to be skeptical over the security measures of cloud computing. Over the years, the cloud has proved its brilliance and obtained many security certificates, but still, the loss of authority over the data reduces the credibility of their security claims.

Control

On-Premises: As made clear before, in an on-premise model, the company keeps and maintains all their data on their server and enjoys full control of what happens to it; this has direct implications on superior control on their data as compared to cloud computing. But, so might not be entirely accurate because the cloud gives full access to the company’s data.

Cloud: In a cloud computing environment, the ownership of data is not transparent. As opposed to on-premise, cloud computing allows you to store data on a third party server. Such a computing environment is popular among either those whose business is very unpredictable or the ones that do not have privacy concerns.

Compliance

On-Premises: Many companies have to meet compliance policy of the government which tries to protect its citizen; this may involve data protection, data sharing limits, authorship and so on. For companies that are subject to such regulations, the on-premise model serves them better. The locally governed data is stored and processed under the same roof.

Cloud: Cloud solutions also follow specific compliance policies, but due to the inherent nature of cloud computing (i.e., the third party server), some companies are not allowed to choose cloud. For example, although the data is encrypted on the cloud, the government never chooses the cloud because losing authority over their information is direct annihilation of their compliance measures.

Many factors differentiate cloud and on-premise computing. It’s not that one is better or worse than the other, but instead that they have a different set of customers for them. To overcome these hurdles, a new technology, namely Hybrid Cloud, has emerged which takes care of authority issue related to cloud computing through a hybrid deployment of on-premise, public and private cloud.

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