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Tensorflow

Shiwani Sharma — Mon, 18 Mar 2024 06:14:41 +0000

What is Tensorflow?

An open-source software library under Apache Open Source License that is utilized for machine learning as well deep learning such as RNN, DBN, Feed Forward Neural Network and CNN. Right now in the whole world, Google’s TensorFlow is the popular deep learning library. TensorFlow was firstly introduced on 9 November 2015 and laterally it is introduced permanently on 14 May 2021and it is formulated by Google. It operates on several platforms like Microsoft Windows, JavaScript, macOS, Android. It can be utilized to develop algorithms to imagine the item as well it provides the activity to identify the item. Tensorflow appeals to flexibility on modularity in the system and it provides the training which is known as Parallel Neural Network Training and it is beneficial for big organizations and which work is to create the models profitably.

As we already discussed Tensorflow utilized machine learning and several groups practice machine learning that is Data scientists, Programmers and Researchers. These three are using a similar toolset to enhance their efficiency and teamwork. It is created to operate on numerous mobile operating systems, GPU’s and CPU. Google formulated Tensorflow to improve its services as Photo, Gmail, Google search engine.

How Tensorflow Works

Developers create the graph of data flow and this graph describes how the information flows through a graph and a procession of processing nodes. In a graph, every node shows the mathematical systems and in a surrounding or all around the nodes is a multidimensional record collection or tensor. Python has some devices in TensorFlow, two of them are Nodes and Tensors as well the TensorFlow is a program of Python. As we already mentioned that TensorFlow was introduced in 2015 and the next version of TensorFlow that is TensorFlow 2.0 is introduced in 2019. It permit the developers to make the dataflow graph that means have to create a graph that structure express how the data shift through a graph. Every single moves or nodes reminds a mathematical operations and a particular connection between nodes is known as tensor. When we write the TensorFlow code, we will explain the operations and their connection to make the computational graph. This consist of variables for identify the operations, input data such as activation functions, matrix multiplication and it will also define how any data flow through the graph.

After making the computational graph, a sessions is created to perform. This session also assign resources like GPU, CPU and operate the operations that can define the graph.

Image Credit: https://www.datasciencecentral.com/how-tensorflow-works/

Advantage And Disadvantage of Tensorflow

Advantage of Tensorflow

Image Credit: https://www.javatpoint.com/advantage-and-disadvantage-of-tensorflow

In the above images you can see there are five advantage of TensorFlow that is Graphs, Library Management, Debugging, Scalability & Pipelining and we have explain some of the other advantage that is mentioned below with few lines.

Some of the advantages of Tensorflow are as discuss below:

Graphs

It has a computational graph visualization and that is ingrained when the comparison happened with different libraries such as Theano and Torch. One of the best advantage of TensorFlow is it has a good graph visualization that you can see on computer or in other word you can say it is best for computerized graphics visualizations.

Open-source platform

It is an open-source platform that is used for machine learning and deep learning and for all the users that are accessible and available for the development of any procedure on it.

Graphical support

For the growth of TensorFlow deep learning utilized it as well it permits creating a neural system with the support of graphs that affect the system as a node

With the statute of a user TensorFlow ordinance in several domains like motion detection, voice detection, image recognition etc.

Customer-centric

TensorFlow is built to utilize several software as in the backend and it consists of model parallelism and data, so you can operate them parallelly and distribute the model into a different portion. The architecture TensorFlow gives TensorFlow, TensorBoard that helps to regain the data and observe the errors by using TensorBoard.

Supply Centric

With the involvement of setups, it originated from cellular tools to computer systems and the libraries can be deployed on an expanse of hardware machines.

Disadvantage Of Tensorflow:

Image Credit: https://www.javatpoint.com/advantage-and-disadvantage-of-tensorflow

As you can see in the above image there are five disadvantage that are mentioned but we will discuss few more as mentioned below:

There are many software tools in the market, if they have the benefit definitely have some drawbacks, same happened with Tensorflow and some of the drawbacks are Debugging Challenges, Ecosystem and Community, Verbose Code, Performance on Small Datasets.

Debugging Challenges: This can be difficult due to the computational graph nature. Here mistake are arrived some time instantly but it is not easy to pinpoint and find the problem that arrived.

Ecosystem and Community: As we have already discuss that Tensorflow has big and developing community, there are some techniques that are new or unique techniques might have good contribution or in other word you can say have more wider resources in other frameworks.

Problem Arrived On Small Datasets: Sometime TensorFlow has to faces the problem when small datasets arrived as compared to other frameworks. TensorFlow is best for the tasks which is related to large-scale machine learning.

Verbose Code: When you are writing any code on TensorFlow, sometime you will realize that it will voluble that means you need to write more code as compared to other frameworks that effect on its readability.

Model Deployment Complexity: When you are establishing the model of TensorFlow it might be become more difficult in comparison to some other framework.

Conclusion: At the end of this blog the conclusion came for TensorFlow is stand as a versatile as well robust framework and a tool that work for machine learning. Right now in the whole world, Google’s TensorFlow is the popular deep learning library. TensorFlow was firstly introduced on 9 November 2015 and laterally it is introduced permanently on 14 May 2021and it is formulated by Google. It operates on several platforms like Microsoft Windows, JavaScript, macOS, Android.

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A Brief Concept about (MFA)Multi-Factor Authentication

Shiwani Sharma — Wed, 13 Mar 2024 03:53:02 +0000

What is Multi- Factor Authentication (MFA)?

MFA; Multi-Factor Authentication is an authentication process for assessing a device, application or user by expecting them to illustrate several identifiers. It saves you from cyber-attacks or any difficulties. Instead of just wanting a password or a username, it assigns one or more than one verification factor. This method has the procedures to know all details about the user that means what the user has, what the user knows and what the user is, such as security, token and which method the user is utilizing such as biometric verification methods.

While building layered security, it will be much more impossible for an unauthorized person to permit a goal like computing device, network, physical location etc. And this is one of the important goals or targets of Multifactor Authentication (MFA).

For providing a powerful authentication MFA compels (2FA) which means two-factor authentication utilizing two different factors such as biometric and password.

Multi-Factor Authentication

Why is MFA important?

MFA is important because it improves the security of your organization by instructing your users to specify more about themselves, not just only a password or a username. A username or a password can be snatched by anyone by using some of the factors of MFA such as a thumbprint or physical hardware that will be beneficial for your organization to secure from any cyber prisoners. One of the main importance of MFA is providing top later security to the organization.

By discussing on a few point to know more about the importance of MFA is as follow:

MFA is important because it skillfully specifies stealing, has a low risk and a peril to all organizations.
It is important because it teaches you that your organization is safe and secure.
The average criminal can harder snatch your data, by using MFA the criminal has less opportunity to steal any data here, so they have to focus somewhere else.

Benefits of Multi-Factor Authentication

Some of the benefits of MFA are as follow:

MFA Enhance The Security

It will give the additional security by expanding the extra security in layers and these extra layers reduce the risk. Every organization must ascertain the credibility of both consumers and employees utilizing a Google Authenticator, password and (TOTP) Time-based Time Password. Suppose if any data is stolen by the hacker then it will be ascertained the identity differently.

Provides a beneficial cybersecurity solution

Because of the hard security like Google Authenticator, Time-Based Time Password etc. A hacker faces difficulties in breaking down MFA or 2FA and by putting the tough passwords by the users, they make more problems for the hackers, it only happens if MFA is utilized with an SSO solution.

MFA guaranteed the individuality of the consumer

MFA helps to conserve the data of consumers. Every consumer wants to permit their resources a proper two-piece of information.

MFA arises with manageable enactment

MFA does not affect the other sight of the whole organization or a company and the experience of user’s permits is carried out by the consumer with no hardworking actions.

Common Tools for MFA

Duo Security

It supports a company for having less security risk and you can easily assess your individuality through the application on mobile with two buttons, one is for approval and another one is for denying. It also delivers several varieties of choices for the organization that requires facilitating secure logins.

Ping Identity

It provides a solution to the organization’s leaders that requires them to decrease the security issues and appeals to several individual management details containing multifactor authentication, directories.

LastPass

LastPass is one of the best tools of MFA that help the users of organizations in accessing accounts carefully with the obtainability of biometric and contextual factors. For the improvement and the password safety of employees, A user can utilize this tool to observe administration for your business admins and eventually across the account to automate identity authentication.

AuthO

It supports the business to assist and authorize the whole team and contribute an atmosphere where the organization can verify, authorize and conserve permits to application and the devices. These tools cost low that can easily execute this for any business environment.

Symanetic VIP

Symanetic VIP helps you to enhance the security of your team members when they are accessing the application, web account, data files etc. This tool not only helps MFA but it has more characteristics such as risk-based authentication, reporting.

Google Authenticator

It guarantees the company to save and secure their data and with Google Authenticator you can easily permit each and everything such as push the information to iOS devices and Android. For those companies who want to invest in the Google ecosystem such as sharing the document and productivity is the good option as in this tool.

Okta

For all the companies either it is big or small Okta gives MFA to everyone. Based on contextual factors a user can be assessed their account and can utilize different identification techniques like one-off passcodes, mobile apps, security questions and biometric reading. This service is very easy as well secured.

OneLogin

It proposes an entrance management solution as well as the identity. Here you have the option to select between two, one is biometric factors and the other is the one time password sent to you in any network as like in your smartphone, SMS, or to your email.

Conclusion: At the last what we conclude after the whole article that it could sum up the valuable and advantage of MFA in securing online account. Now-a-days there are many cyber crime happened in our surroundings, so it’s important to safeguarding our digital presence is paramount. It also help to improves the security of your organization by instructing your users to specify more about themselves, not just only a password or a username. Multi-Factor Authentication is an authentication process for assessing a device, application or user by expecting them to illustrate several identifiers. It saves you from cyber-attacks or any difficulties. Instead of just wanting a password or a username, it assigns one or more than one verification factor.

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Top 6 Cloud Native Technologies Used in 2023

Shiwani Sharma — Sat, 21 Oct 2023 05:22:36 +0000

To learn about the cloud-native technologies used in 2023, let’s first gain an understanding of what cloud-native means.

What is Cloud Native?

This technology is all about skill, speed, and improving the way of designing crucial business systems. The process of business is evolving from enhancing the business’s capabilities to introducing strategic changes that boost the speed and growth of the business and, simultaneously, bring innovative ideas to the market. Several features and pillars provide the foundation for cloud-native systems: Microservices, Containers, Backing services, Automation, and Modern design. Cloud-native is a vital theme in software development, representing the future of software development. It has transformed how we approach operating software products, deployment, and development.

Image Credit: https://medium.com/velotio-perspectives/cloud-native-applications-the-why-the-what-the-how-9b2d31897496

Cloud-native influences application operations, design, deployment, and performance. It not only manages existing applications but also offers much more. Leveraging the benefits of the cloud computing model, cloud-native is the way to create and operate applications.

Here are the top 6 cloud-native technologies being used in 2023:

Kubernetes

Kubernetes is an open-source platform and one of the most widely used container orchestration solutions available as a service from various cloud providers. The term “Kubernetes” is derived from Greek, meaning “pilot.” Google introduced Kubernetes in 2014 to manage applications within containers, automate deployment, and more. It plays a pivotal role in the cloud-native ecosystem.

CI/CD Pipelines and Tools

CI and CD represent continuous integration and continuous delivery, respectively. These tools initially targeted desktop applications and have expanded to encompass web and cloud services. The combination of continuous integration and continuous delivery streamlines software development, automating code integration and delivery for quicker transitions from development to production. CI involves ongoing testing during code creation, while CD automates testing and deployment after code completion.

Edge Computing

Before introducing the concept of Edge computing, let’s first understand the meaning of “edge.” The term “edge” is both abstract and all-encompassing. It generates excitement akin to that of the cloud and IoT.

Edge computing helps allocate computing resources closer to data sources, such as local edge servers and IoT devices. This proximity offers several advantages to organizations, including reduced response times and improved bandwidth availability.

Edge devices operate across three layers: the edge layer, fog layer, and cloud layer. Data flows from edge devices to the edge gateway, then to fog nodes on the fog layer, and finally to the cloud or data center on the cloud layer.

Mobile edge or edge computing operates on advanced networks, such as 5G, facilitating extensive data analysis, faster response times, and deeper insights.

The Benefits of Edge Computing

Edge computing offers five key benefits: enhanced security, speed, cost savings, bandwidth efficiency, and versatility. Lets discuss all these below:

Providing the security: The fewer quantity of data that has to roam over all the network has a plus point to access more security. All the data is to stock in one point and the main point is security and secures the local data of the manufacturers of smart products. If on the network more data will be distributed then there is a more chance of arriving at the risk in a single moment and during the transit, the fewer data will be interacting and even if the appliance is compromised. It also supports the organization to survive the problems of local compliance and the problems of data autonomy.

The speed: Edge computing helps to decrease the load of the traffic of your organization at large which enhances the creation of all the services and applications of your organization and for the essential business of the company speed is essential as well it’s an advantage for the company. Those companies who give the service as data-driven to the customer and having low speed will not satisfy the customer and that badly impacts your company. That’s why speed plays a key role in the business.

It saves cost: All the data in an organization does not save and does not have the same values, so every data has a different price. Edge computing permits your data to be categorized by the viewpoint of management by retaining the amount of data within your location and for connecting to all your location you have to decrease the necessity for having more price bandwidth and translates immediately into dollars. Edge computing also supports decreasing a few levels of data monotony and when you decrease the redundant storage then automatically decrease the redundant cost.

Protection of bandwidth: We are using a lot of bandwidth for potentially not very important data and we are formulating a tremendous amount of data but not all the data is significant. Versatility The edge computing scalability also has an important role in versatility. It empowers IoT appliances to collect unusual quantities of data. They always create data for further analysis instead of staying for the people to log in to the system and interact with the cloud server and always the computing devices in on and constantly related.

Service Mesh

A service mesh acts as a tool for managing data sharing within different parts of an application. In a microservices architecture, service mesh handles communication between services, including data encryption, load balancing, and service creation.

Benefits of a Service Mesh

Some benefits of a service mesh include:

Providing security in service-to-service communication by supporting secure business operations through mutual TLS within the network.
Enabling faster service delivery to the market, thus enhancing developer productivity.
Improving system optimization and simplifying debugging.
Enhancing detailed interactions through improved transparency in a cloud-native environment.

Machine Learning (ML) & AI in the Cloud

Machine Learning (ML) enables computers to perform tasks without explicit programming by recognizing patterns and making decisions based on data. Cloud providers offer machine learning and AI capabilities, allowing developers to integrate these technologies into their applications without starting from scratch.

Serverless Computing

Serverless is a cloud-native development model, also known as Function as a Service (FaaS). Developers can operate applications and functions without managing servers in detail. Prominent Serverless platforms include Google Cloud Functions, IBM Cloud Functions, and AWS Lambda.

To understand the concept of Serverless, let’s first define “Server.”

A server is a computer designed to provide services to others on networks, such as web servers, mail servers, and file servers. However, servers can be inflexible and challenging to scale. Cloud-based Serverless products offer a solution, allowing developers to focus on their applications without worrying about server management.

Conclusion: The cloud-native technologies mentioned above are shaping the technological landscape of 2023, offering innovative solutions for various aspects of modern software development and deployment.

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Top 8 Secrets Management Tools

Shiwani Sharma — Fri, 20 Oct 2023 14:34:14 +0000

What is Secrets Management?

Secrets management is the practice of controlling, distributing, managing and storing access to sensitive information, such as credentials, passwords, API keys, and encryption keys. Its primary focus is safeguarding this information from unauthorized access and potential security threats. Secret management tools also facilitate versioning of secrets, enabling users to revert to previous versions when necessary, which can be vital for recovery in the event of a security incident.

In modern, cloud-based, and microservices architectures, where applications require access to various credentials to communicate with multiple components, secret management plays a crucial role .While Secrets management is a term applicable across all enterprises, the terms “Secrets” and “Secrets management” are referred to more commonly in IT with regard to DevOps environments, tools, and processes.

While Application and IT environments vary significantly for each organization, one thing that remains constant: every application, script, automation tool and other non-human identity relies on some form of privileged credential to access other tools, applications and data. And the security and protection of these credentials and data is an absolute must. This is where the Secrets Management tools come to our rescue.

Secrets can take multiple forms including:

Passwords
API Keys
Tokens
SSH keys
Private certificates
Encryption keys

In this post we are going to learn about the popular tools used for Secrets management.

HashiCorp Vault Tool

An open-source and powerful tool that is designed for data encryption, secrete management & identity-based access control. One of the best tools for developer that is best suited for regulating and securing sensitive information in the environment of modern IT and it usually consists of containerized and cloud-based systems. HashiCorp Vault permit you to handle and store the secrete that consists of some passwords, database credentials and other important information. Vault can also produce an effective secrete that can be utilized for several backend as like cloud providers, database etc. It also permits you to allow the limitation for time and go through access to secrets.

You can use this tool to manage certificates, encryption keys, SSH Keys etc for securing infrastructure components and for the security it permit tools and flexibility to save from credential data and you can also access it securely.

KeyWhiz

An open source tool for distribution system and secret management that is created to provide access control for the thoughtful information such as password, encryption keys, API token etc. A large scale organization and for cloud-native environment, KeyWhiz is perfectly suited where handling secrete is a important part of compliance and managing security. It permits the administrator to keep an eye on who gain access to what the secrete is and it also maintain audit trails and detailed log and this is important for all the compliance requirement and security. It is basically design to remove the duplicate files to distribute the band and scope. It provide a easily operated web interfaces by users that can easily build by the administrators to handle and access secrete and an authorized user as per there need can retrieve the secrete. This open source secrete management tool is created by Square for automated formation and allocation of secrete for the infrastructure. Square is an mobile payment company and a financial services company that require a secure solution for secrete management. It is also a user-friendly web interface that facilitates the process of storing, creating and recover the secretes. Keywhiz permit you to define access controls and permissions level for several application and users.

Azure Key Vault

One of the secure and strong cloud-based secret management tool that is given by Microsoft Azure. Azure Key Vault is an important tool for managing and securing secrete that help the organization to maintain the availability, confidentiality their services and data. It is also cost effective that you can use it for free but having some limitation that the reason it is best for small-scale application. A important tool that work is to manage secrete and secure and keys in cloud application. It is created for high availability with extra backup, assure your secrete are always usable. It also provide a secure storage for secretes, certificates & storing keys and this can consist passwords, API Keys, and digital certificates. To provide the high level security, these secure key are stored in HSM that means hardware security module.

Google Cloud Secrets Manager

A important tool of secrete management in the ecosystem of Google Platform, that is created to manage, access sensitive information, consists of some credentials, passwords, encrypted keys, API keys. It always permit you to make and handle multiple versions of secretes insure that whatever the changes happened, if required can be tracked and reverted. Secrete manager has automatic rotation as well that means it can automate the rotation of secrets, assure you that the credential are updated to increase the security. Google cloud secrete manager can merge with Google cloud services, and by this it become simple to approach secretes from running applications on Google Cloud Provider. With the help of this tool, a new secret can be make by utilizing Google Cloud console, Secret Manager API or the gcloud command-line tool. A user friendly solution for secrete manager in the environment of Google cloud. It is also a pricing model that is based on several versions that is secure for your secrete.

Keepass

An open-source secrete management and password manager tool that is only created to support the users securely store, recover hypersensitive data as like secure notes, credit cards numbers, password and much more. One of the popular and important feature of Keepass is robust because of its flexibility, many organization as well as individuals are utilizing it and other are using it just for their self-hosted solution and reliability for secrete management. It is called an open source tool that means its source code is present and reviewed for security. Keepass is also an cross platform and the present versions are Window, Linux, macOs and some mobile platform such as iOs and Android. As like the robust feature of Keepass, it has many other features like auto-type that permits the users to automatically fulfill the form and some other useful URL, with the help of these URL, websites are automatically open with some proper credentials.

1Password

1Password is not a open-source tool but this tool is one of the best regarded tool for secrete management. It is created for manage, securely store and can share sensitive information such as password, secure notes, some software licenses and many more. This is the easy tool that only focus is on security. Anyone( individuals, organization, any industry, businesses etc) who wants to invest on invest on their digital assets can think of utilizing this tool. 1Password tool is available in many places such as Android, iOS, Web browser, macOs etc.

CyberArk Conjur

An open-source tool that is created for managing and securing secrete , cloud-native, keys, containerized environment and some other important sensitive credentials. CyberArk Conjur focuses only on increasing the security of secrete utilized by services, applications and this whole process is also known as integration with DevOps and automation pipelines. It support some techniques of authentications that consist of SSO (Single sign-on), LDAP, Active Directory etc.

GitSecrets

An open source tool that concentrate on providing the unusual risk of secrete and sensitizing information in Git repositories. It permit you to understand the custom patterns for secrets and this will help you to modify the tool to your important use case and if you want to identify some other pattern you can do that. GitSecretes is very productive at capture the pattern you know of secrete, it may not determine the data leakage.

Conclusion

Secrets management plays an pivotal role in protecting sensitive information, like encryptions keys, API keys & other sensitive data. The article explores some of the popular Key Secret management tools such as HashiCorp Vault, GitSecrets, AWS Secrets Manager.

Each single tool has its own features and capabilities. There are many tool but we have explain only few and all of them main focus is to decreases the risk related with secret mishandling. Secret management tools also facilitate versioning of secrets, enabling users to revert to previous versions when necessary, which can be vital for recovery in the event of a security incident.

Companies use these tools to manage their secrets across their IT ecosystem centrally. These tools reduce the risks associated with poor and manual secrets management, such as hardcoding secrets into scripts, using default passwords, sharing passwords, and not rotating credentials. Secrets management tools replace the old fragmented and manual secrets management and provide central visibility, oversight, and management of a company’s credentials, keys, and other secrets across departments.

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An Exclusive Guide On DevSecOps

Shiwani Sharma — Mon, 16 Oct 2023 06:29:56 +0000

To understand DevSecOps, it’s essential to grasp the concept of DevOps, as they share significant similarities. DevOps is the combination of Development and Operations, while DevSecOps extends this further by adding Security to the mix. These two terms can be comprehended more straightforwardly as we delve into them. Although they both pertain to deployment and software development, their primary focus and objectives distinguish them. Let’s explore these two concepts in more depth below.

What is DevOps?

DevOps is a process that integrates IT operations, practices, tools, and software development to enhance software’s key attributes and enable continuous delivery. It emphasizes the transition to programmable infrastructure, cost optimization, and industrialization, promoting collaboration and communication within a company. DevOps involves several procedures, including the use of CI/CD tools (Continuous Integration/Continuous Delivery), task automation, and the adoption of methodologies like Microservices, Containers, and Infrastructure as Code. DevOps is not a technology but rather a set of practices that unite software development and operations, ultimately boosting application speed and quality.

What is DevSecOps?

Wikipedia Definition of DevSecOps are as follow:

DevSecOps is an augmentation of DevOps to allow for security practices to be integrated into the DevOps approach. Contrary to a traditional centralized security team model, each delivery team is empowered to factor in the correct security controls into their software delivery.

Image Credit: https://johnhoelscher.medium.com/what-is-devsecops-devsecops-defined-explained-and-explored-455df10b1924

DevSecOps, on the other hand, is a blend of development, security, and operations. It is specifically focused on constructing a more secure deployment pipeline and fostering agile software development by incorporating security considerations from the inception of the development lifecycle. In the context of DevOps, DevSecOps is a set of practices and principles that merge security into the process. It advocates a “shift left” approach, which means integrating security early in the development process rather than treating it as a separate phase. Automation is a pivotal element of DevSecOps, meeting the need for a more secure deployment and software development process in an ever-changing and challenging technological landscape. By introducing security in the realms of development and operations, the entire organization benefits by delivering software faster while reducing security risks.

What is Secret Management?

Secret management is the practice of controlling, distributing, and storing access to sensitive information, such as credentials, passwords, API keys, and encryption keys. Its primary focus is safeguarding this information from unauthorized access and potential security threats. Secret management tools also facilitate versioning of secrets, enabling users to revert to previous versions when necessary, which can be vital for recovery in the event of a security incident. In modern, cloud-based, and microservices architectures, where applications require access to various credentials to communicate with multiple components, secret management plays a crucial role.

Challenges To Secrete Management

In simpler terms, secret management revolves around the management of critical data that must remain confidential, such as keys, passwords, and credentials. Secret management plays a pivotal role in cybersecurity by safeguarding sensitive data, such as API tokens, passwords, and encryption keys. However, several challenges emerge in this process, including secure storage, access control, audit and monitoring, and human errors. To address these challenges, organizations need to consider measures like providing training, automation, regular auditing and monitoring, and comprehensive testing. Though while doing the secrete management we have to face some challenges and these are as follow:

Secure Storage: One of the major and normal challenge is secure storage, for storing the data, it’s important to search out the secure method as like key vaults, HSMs(hardware security modules), encrypted database etc. The other thing that is important and necessary in secure storage challenges is limiting and controlling access. Executing the robust access control mechanisms to assure that only applicable system of particular individual can access secrete can be difficult, powerful environment.

Access Control: It is important to handle, who has the access to secretes and maintaining a balance between security and accessibility can be challenging. it is necessary to have access control, identity management systems, role-based access etc. Confirm the recognition of system and individuals to secrete is challenging. By utilizing a dependable authentication mechanism such as MFA(Multi-Factor Authentication) is necessary to reduces the risk of unauthorized access.

Audit & Monitoring: A difficult component of secrete management is audit and monitoring, as there work is to support the organization to track and investigate prohibited access. Audit logs can create a important amount of data, differentiate legitimate access from malicious activity is very problematic . Organization has to uses the monitoring tools and audit, conduct regular reviews of access logs and executing best practices for analysis and log management.

Human Error: Human error is also one of the important challenges of secrete management that has to faces by the organization. Some normal happening human errors are weak passwords, improper handling, accidental errors, lack of security awareness, improper disposal, insufficient monitoring, inadequate documentation etc. and for addressing these human error organization need to consider some measure and these are giving training and education to the staff, automation, doing regular auditing and monitoring, regular testing etc.

Third-Party Services: This became very tricky to manage secrete for third-party services or cloud provider.

Conclusion:

In this article, we have explored DevOps and DevSecOps, delving into the principles and practices that distinguish them. We have also discussed secret management, a critical aspect of cybersecurity, and the challenges associated with it. Understanding these concepts and the challenges they pose is essential for organizations looking to navigate the dynamic landscape of software development and security successfully. By adopting best practices and addressing these challenges, organizations can enhance the security of their systems and the efficiency of their development processes.

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A Beginner’s Guide: Understanding Serverless in 7mins in 2024

Shiwani Sharma — Thu, 05 Oct 2023 17:07:23 +0000

What is Serverless?

Serverless is a cloud-native development model that is also termed as FaaS (Function as a Service) . Serverless computing permits developers to operate the code and there is no need to handle traditional server infrastructure. In other words developers have to run the application and functions without having to spin up and operate a server. There are some famous serverless platforms that consist of Google Cloud Functions in Google Cloud Platform, IBM cloud function in IBM cloud, AWS Lambda in Amazon Web Services.

Serverless Adoption

As per the latest report by Datadog 2023, named’ State of Serverless 2023‘, an annual analysis tracking the adoption of serverless technologies in cloud workloads. The major cloud providers are witnessing substantial growth in serverless usage, especially for container-based solutions.

According to Datadog, a majority of organizations running workloads on AWS or Google Cloud now have at least one Serverless deployment in place, with MS-Azure following closely at 49 percent. Similarly, the latest CNCF Annual Survey reported growth of serverless architecture/FaaS to 53% of respondents.

IMAGE CREDITS: https://www.infoq.com/news/2023/09/state-serverless-report/

Image Credit: https://www.spiceworks.com/tech/devops/articles/what-is-serverless/#lg=1&slide=0

To understand the concept of serverless, let’s first clarify the term “Server.”

Server: A computer designed to work all day (24 hours) to provide services to other people on the networks. If you are using the internet, then you are communicating with so many servers, such as web servers that work to send your web pages, mail servers that work to send emails for communication purposes, file servers that work to send your files, etc. So, the server is designed to work quickly and have excess data with high-capacity internet speed.

However, servers are not flexible, which means if you manage your website with your own server, handling daily traffic becomes difficult for the server to manage on time, and this is known as over-provisioning. With servers, you can focus less on developing your website. To solve this type of problem, cloud-based Serverless Products were formulated.

In simple language, Serverless product means “NO server, no worries.” You can only concentrate on your application. By using serverless, you can capture numerous files without have to worry about hard drives or thinking of where to store these files or data. Many companies already had used Serverless in production and these companies are AOL, Netflix & Reuters etc. Serverless is best for applications with variable workloads, where resorces are only required occasionally or in response to some specific event.

Types of Serverless

Basically there are two types of Serverless, one is FaaS (Function As A Service) and the second one is BaaS (Backend As A Service).

Function as a Service (FaaS): In this type of serverless model, developers have to write some individuals functions that bring out specific tasks. Some famous FaaS platform that consists Google Cloud Functions, AWS Lambda, IBM Cloud functions and Azure functions.

Backend as a Service (BaaS): This serverless model provides backend services for web application, mobile and these backend services are pre-built. It also consists some characteristics like storage, push notifications, authentications & databases. Some of the example of BaaS provides that includes Backendless, Firebase & AWSAmplify.

Pros & Cons Of Serverless

Advantages of Serverless

IMAGE CREDIT: https://www.angleritech.com/5-benefits-serverless-architecture-business-transformation/

Here are some reasons why you can use Serverless or the benefits, as follows:

Money Saving: Serverless follows the model of pay-as-you-use, meaning while performing on the application, you only have to pay for the resources you are using. With serverless, it is not necessary to invest or to manage virtual machines or physical servers and this will helps to remove infrastructure costs, also decreases the initial capital expenditure that will help to save money.
Scalability: In terms of incoming requests, this platform automatically scales your application. When there is an increase in the number of users, the cloud provider immediately distributes a lot of resources to operate the workload. Some serverless platforms like Azure functions, Google Cloud functions & AWS Lambda automatically handle the scaling of your application.
Faster Work: It permits the developer to update the application much quicker. Here, the developer only has to concentrate on writing the code and creating new characteristics that will help lead to faster work coming to the market for more products and services. The platform of serverless automatically regulate the scaling of resources that depends on the latest workload. Without the help of any manual intervention the auto scaling of serverless assure that your application can handle increasing demand that provides the faster response time.
Decreases Administration Responsibility: Many tasks like security patches, software updates become the duty of the cloud provider, freeing developers from administrative tasks.
Decreases Operational Aloft: There is no need for the developer to worry about scaling, monitoring, server provisioning, and configuration because the cloud provider handles the underlying infrastructure. This decreases the operational tasks time, allowing the developer to concentrate on creating and deploying applications faster.

Cons Of Serverless

Limited Resources: The platform of serverless exploit the limitation of resources on functions as like memory, execution time and CPU. This can not be allowed for those application which have the high demand on resources and the tasks is running for the long time.

Vendor Lock-In: When you are accepting a serverless platform it means you are locking your application into a specific ecosystem of cloud provider’s. This will becomes very challenging to migrate from one provider to another or if there is any requirement for deploy on-premises because it become the dependency on single provider and that’s why it become the challenges to shift from one provider to another.

Cold Start: As the name suggest cold means the things which is not used for a while, so the functions of serverless can have a cold start time, that means the time that initialize the functions when it hasn’t used for a while. so, when the application is invoked for the first time then the infrastructure of serverless take some time for setting up the resources and this can introduce latency.

Examples Of Serverless

Mobile Backends: Serverless is used for mobile backend data and operates user notifications, file storage, and database interactions, providing a cost-efficient solution.
IoT (Internet Of Things): It can be used for Internet of Things applications, such as processing sensor data, sending notifications, and controlling devices.
File Processing: Serverless facilitates data storage in cloud storage, file uploads, and image processing.
Chatbots: It plays a role in customer interaction platforms like chatbots, combining functions with Natural Language Processing (NLP) services and backend systems communication.
Web Applications: It helps in developing web applications and also operates server-side logic & API endpoints.
Machine Learning: Serverless is used for machine learning applications requiring cost-efficient and scalable capabilities.

Conclusion

So definitely Serverless has gained a lot of attention from tech giants, cloud enthusiasts, engineers, and developers alike for its apparent advantages.It is being envisioned as the next evolutionary stage in the development of computing and network architectures

But we need to understand that Serverless computing continues to evolve as serverless providers come up with solutions to overcome some of its drawbacks. Serverless is still not in fully matured state.

It is a cloud-native development model that enables developers to run code without managing traditional server infrastructure. It goes by various names, such as FaaS and Serverless computing. Its pay-as-you-use pricing model stands out as one of its most significant advantages. It is a powerful tool for building efficient and scalable applications. However, it’s crucial to consider its plans and limitations carefully when implementing it in your projects.

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GitOps

Shiwani Sharma — Tue, 03 Oct 2023 06:09:48 +0000

What is GitOps?

Adopting GitOps has an automated operating model that integrates both strength and speed. They work for Kubernetes because they have a deployment process that hardly smashes and attempts the new techniques that perform more than 45 changes with each team daily. One of the other features of GitOps is the absence of manual intervention that heals the deployment from the downfalls and feeling more confident in the delivery system. It is an open-source control system that delivers a bundle of techniques to enroll in monitoring and management for the application, deployment, and work by utilizing it.

While using the same process and tools for software development and building the knowledge around the developer that supports the infrastructure of the managing team. GitOps also provide you with the skill to select the tool you require.

It also expanded to create code applications, provision Kubernetes clusters, develop pipelines and manage configuration. Gitops operates as a distinct origin of truth for code to deliver the prevailing control over the production environment.

Principles Of Gitops

Some important principles of Gitops are as follow below:

Declarative Principle Of Gitops

A software engineer Eve Ben Ezra spoke in some Gitops events with The New York Times that Gitops permits for automating security practices.

The declarative principle focuses on achieving the last result. The other way or example to understand declarative is to suppose a person has to complete any project without any advice or teaching, the person’s only goal is to complete the project.

Declarative principle is also a easy programming language.

Version-Controlled System

It permits the developers to providing the strategy to code management and the entire teams helps to automate the request and trace all the changes.

The version-controlled system principles supports the software development team for finds and improvised the mistake easy and quickly. If a single person have done any mistake then the whole team will not face the problem, one can revert to the earlier version.

Benefit of Gitops

Let’s discuss some of the benefits of Gitops and these are as follow:

Helps to enhance the productivity

The development team of an organization can inaugurate a new product very frequently. The software development and the operational team in the organization increases its productivity with the help of GitOps. GitOps helps to maintain the consistency and assure you that every particular environment such as production, staging, development etc. are configured consistently and also helps to decrease the difficulty caused by configuration mismatches.

Provide powerful security

Git procured powerful correctness and security and was used to organize and pursue the changes. Its primary nature is to provide you with the skills to select the required tools. To operate the automated security and compliance check at the time of deployment process. This will assure that the infrastructure and application configurations attach to security compliance requirements and best practices.

Improved the knowledge of the developer

Without understanding the internal knowledge of Kubernetes and operating the characteristics and updates to Kubernetes, all the developers utilized the Git tool.

Determinism

The other valuable benefit of that purpose is to specify the image of Kubernetes by Git. It contribute to the stability, reliability & predictability to the infrastructure management process and software deployment. Determinism permit you to recreate the environment perfectly as they are when the code was accomplish.

Automatization

If any manual changes are arises to Kubernetes, then Gitops’ work is to deny them for all this, the operator is reliable for the procedure and does this process automatically. One of the best benefits of GitOps is automation and it also maintain the consistency just by assuring that the application and the infrastructure configurations are smoothly applied over all the environment.

What is GitOps Workflow?

GitOps only utilizes the tool Git to regulate the system for infrastructure configuration. Several modifications arise by using pull requests that help to adapt the state in the Git repository, which only happens in the GitOps workflow. Using a GitOps workflow, the proposal to pull provides the rise in Git to bring out the modification to the asserted state of the cluster.

GitOps workflow helps in productivity by raising it more and increasing the velocity of deployment and development while enhancing the credibility of the system and stability.

Image Credit: https://radixweb.com/blog/introduction-to-gitops

With the help of above image you will get the idea how GitOps really works.

Why GitOps Is Important?

Gitops plays an important role in software development and operations, has a stronger vision control system, and Git for organizing infrastructure as code.

Here are some points why Gitops is important:

Gitops help in deploying software just by providing a standardized and repeatability process.
Gitops permits the developers to provide the strategy to code management and the entire team helps to automate the request and trace all the changes.
Gitops also merge with CI/CD pipelines that automatically build, test, and deploys the application .

Gitops Challenges

Some common challenges of Gitops are as follows:

Discovering curve

When Gitops discovered a new set of curves, the entire team has to learn this new curve. Some of the team members who do not know about Git and the related concept has to learn and get familiar with it. It is important that the whole team required to be proficient in utilizing GitOps and that consists the concepts of resolving, merging & branching. It is also important to know how to manage configurations and code in GitOps is very essential.

Security and Adherence

It is very challenging to ensuring security and adherence in a GitOps workflow. By executing GitOps can helps many security and adherence challenges that every organization need to address to assure the compliance and security of their infrastructure and applications. GitOps also need to handling all the sensitive information as like passwords, certificates & API keys. It is difficult to protect difficult secretes management and the data from unauthorized access.

Retrieval and Rollback

Across several environment GitOps required a process for regulating the configuration and reverting changes. It helps to assure the system reliability, especially on the face of some problems or errors. so there are some challenges find at the time of retrieval and rollback. Rollback for the services like databases are difficult so the organization need to plan for and test rollback procedures for services carefully.

Scanning and Observability

It’s also becomes a challenges to observe and scan of running system in GitOps because it requires some more configurations and integrations with monitoring tools.

Conclusion: GitOps plays an important role in software development and operations, the whole concept of GitOps you have seen in the above article. It also provide you with the skill to select the tool you require. Some people called GitOps as Git that permits the developers to provide the strategy to code management and the entire team helps to automate the request and trace all the changes.

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Fintech Unicorn Razorpay partners with Truecaller to Introduce ‘1-Tap Verification Solution’ in India

Admin-Devopscurry — Fri, 01 Sep 2023 08:08:17 +0000

Fintech Unicorn ; Truecaller, the global caller identification platform on Thursday said that it has partnered with Razorpay, India’s Leading Full-Stack Payments, and Business Banking Platform, to provide a fast and secure online checkout experience for shoppers with its 1-Tap, OTP-Less Verification solution, that ensures user safety throughout the process.

In a statement, Truecaller said that the solution will enable Razorpay to offer fast and seamless checkouts to its 200 Mn-plus customers. With the new feature, customers will no longer need to enter details manually or wait for the OTP during the checkout process. Instead, their details will get auto-filled with a single tap through Truecaller.

Khilan Haria SVP & Head of Payments and Product at Razorpay, said, “With this 1-Tap Verification feature, customers can now securely and effortlessly bypass the cumbersome multi-step verification process and enjoy the luxury of having their information prefilled with a single tap, streamlining their shopping journey on Android devices.”

The aim of the tool is to offer businesses and companies reduced drop-offs and an approximately 5% higher conversion rate, as well as to meet the needs, preferences, and demands of their customers while remaining compliant with the requirements of the industry. It will provide a faster checkout experience to their customers.

“We are genuinely thrilled about this partnership, which aims to improve the customer shopping journey with our 1-Tap Verification Solution, specifically designed for businesses setting up their e-commerce platforms,” said Priyam Bose, Global Head GTM, Truecaller for Business.

OTP-less and CVV-less online transactions are now slowly picking the pace in the Indian market. In May, the global card transaction company Visa announced the launch of a CVV-less payment feature to allow fast and seamless transactions. Earlier this month, its competitor Mastercard, too, launched a similar feature.

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2023 Layoffs: Networking giant Cisco lays off employees across business units

Admin-Devopscurry — Mon, 24 Jul 2023 17:58:36 +0000

The internet and social media is recently flooded by the news of internal layoffs announced by networking giant Cisco Systems, as claimed by former and current Cisco employees .While the employees saw this as a fresh round of layoffs, Cisco said it was just enacting plans announced in November 2022.

“These recent notifications are part of the rebalancing effort we began in November 2022, which included a limited restructuring impacting our real estate portfolio and approximately 5% of our workforce,” a Cisco spokesperson said.

Last November, despite posting record quarterly revenue of $13.6 billion, Cisco announced it would be laying off around 5% of its 83,000 workers.

“Got to know that my name is in the layoff list through a known Senior Manager who was in a meeting with my Director and frankly speaking, it’s such a toxic and controlling environment and I personally don’t want to work in that team. Little stressed as the job market is very dull,” a sacked employee wrote.

Another user said software engineers are being impacted at the company.

According to verified Cisco employees on anonymous professional community forum Blind, some business units allegedly affected are Cisco Application Centric Infrastructure (ACI), Cisco Collaboration, Cisco Data Center Services & Solutions, Cisco Experience Centers (CxC), Cisco Security Business Group (SBG) Cisco Servers and Webex.

Cisco’s last round of layoffs occured in January-23, when the company revealed that it was cutting 673 jobs in the San Francisco Bay Area as part of its plan to maximize cost savings announced in 2022. The company at the time eliminated 371 jobs at its San Jose location, 222 jobs in Milpitas and 80 in San Francisco, with the majority of the layoffs impacting software engineers, technical engineers, hardware engineers, product managers and supervisors, according to Worker Adjustment and Retraining Notifications filed with the state of California in January.

The layoffs in November were part of a $600M restructuring plan. Cisco similarly implemented a restructuring plan in mid-2020 which included a substantial number of layoffs.

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DevOps 2021: The best Log Analytics Tools, ELK vs Splunk ! Which one should you choose ?

Tue, 09 Feb 2021 06:41:47 +0000

Splunk vs. ELK, which one to choose !

Today, managing and handling logs always play an essential role in any company’s security framework. Suppose you do not have a well-strategized solution to handle logs. In that case, you may face security issues or data breaches as you do not have the visibility of events going on within your organization and create critical endpoints for vulnerability. If you are an IT person, then you must have heard of and worked with Splunk and Elastic search daily.

There are several tools available in the market that help process and store machine data efficiently, but what tool will you choose? Well, Splunk and ElasticSearch both tools share the same goal that is to handle log management problems and solve them seamlessly. These two tools are commonly used for operational data analytics. But how can you choose the right tool that suits your business requirement?

As the data grows with time, irrespective of the size of the business, you should be able to handle the expanded log data. Splunk and ELK offer a scalable approach that allows you to collect and index the log files and a search interface to interact with the data. Both the tools will enable you to secure the collected data to create visualization reports for end-users to track the logs being created and managed.

However, both Splunk and ELK are designed for the same purpose, but their differences cannot be ignored if you have to choose one of them. There is always a debate about which one to choose and why. So we will discuss Splunk, ELK and what are their differences to get to a conclusion.

What is Splunk?

Splunk was introduced in 2003 and is a paid tool. It helps in analyzing structures as well as semi-structured data. Splunk is also known as the “Google for log files.” Splunk is a tool that processes every type of log being generated within an organization. It is a software platform that search, visualize, monitor, and analyze the data generated by the machine in real-time. Splunk refines the data to create powerful insights into your log data with charts, alerts, graphs, etc.

It is one of the popular DevOps tools used in the market. Its benefits are not only limited to the log management and analysis solution but also ensures security and management events. Splunk performs security analysis and assessment of the gathered logs to get metrics about the organization’s performance. Splunk uses SPL (search processing language) to serve and execute queries on large and complex data sets.

Splunk comes with three major components- Forwarder, Indexer, and Search head. Forwarder helps in pushing the data to the remote indexer. Then indexer responds to the search queries. Search head is a front-end web user interface where all the three components are combined for better visibility.

Splunk has the below features.

It helps in accelerating the development and testing of applications.
It helps you to create real-time data applications.
It helps you to generate ROI faster.
It comes with search, optimization, and visualization capability for every type of user.

Image Credits: https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781785884351/1/ch01lvl1sec08/splunk-s-architecture

What is ELK (Elastic Stack)?

ELK is an acronym for ElasticSearch, Logstash, and Kibana, all developed, managed, and maintained by Elastic company. ELK is an open-source database tool that is easy to deploy and handle. You can use this tool for analytics and searching your logs. You can consider it as a NoSQL database that stores the unstructured data in a document format. ELK consists of various software tools that allow you to search logs, route data, process data, and visualize data. The three components are-

ElasticSearch- it is a NoSQL database that uses the Lucene search engine.
Logstash- it works as a transportation pipeline that transports data to the ElasticSerach engine.
Kibana- it is a dashboard that provides data visualizations working on the top of ElaticSearch.

ELK stack allows the users to take data from various sources in any format available and perform actions on the data in real-time. It offers you centralized logging that helps you to analyze the problems within your application.

Below are some features of the ELK stack.

It is an open-source search server that is written in Java.
You can index any heterogeneous data.
It allows a full-text and real-time search.
It comes with a REST API web-interface with JSON output.
It comes with multi-language and geolocation support.
It helps in performing filtering and querying your data for better insights into your infrastructure.
It allows you to scale horizontally and vertically.

Image Credits: https://medium.com/devxchange/streaming-spring-boot-application-logs-to-elk-stack-part-1-a68bd7cccaeb

Difference between Splunk and ELK

Below are the differences that allow you to choose one of them as per your business requirement.

Splunk	ELK
It is a commercial tool.	It is an open-source tool.
It comes with Solaris portability.	It does not support Solaris portability due to Kibana.
It allows you to perform an accurate and faster process.	It comes with limited processing speed.
It is a proprietary tool with both on-premise and cloud solutions.	It is a complete technology stack with ElasticSearch, Logstash, and Kibana.
It is a complete data management package.	You can only perform actions on ELK after it’s set up.
It can be easily integrated with other tools.	It cannot be integrated with other tools.
It uses Apache Lucene as a search engine.	It uses custom MapReduce as a search engine.
It has a moderate learning curve.	It has a flat learning curve.
Splunk’s dashboard comes with more features as compared to ELK.	ELK’s user management feature is more challenging.

Conclusion

From above discussion it is clear that both Splunk’s and ELK’s primary goal is to monitor, analyze, aggregate, and visualize machine log files. Also the processing power and functionality between Splunk and ELK are more or less similar.

So how do we decide which one to choose over other?

So that typically depends on how much control you want and effort you’re willing to put in, you’ll lean more towards one type or another. Other factors being the cost, extensibility, and extra features of the different tools. So finally, the short answer to whether to implement ELK or Splunk is based on which product best fits the company’s organizational goals and aligns with your existing Devops toolchain.

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