Category: microservices

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Zero Trust API Security Architect

The cybersecurity threat landscape has changed dramatically in the last couple of years. Every day new kinds of threats are coming and impacting the organization’s business. Infosec/Security teams have always had challenges with this new threat to find the root cause and mitigate these risks.

To mitigate and overcome these constant/real-time threats and risks, the security fraternity introduces Zero Trust Architecture (ZTA) Or Zero Trust Strategy (ZTS).  ZTA is not a product or application, but it is a concept and practice to mitigate any risk for your organization.

What is ZTA/ZTS?

Zero Trust is an information security model that denies access to applications and data by default. Threat prevention is achieved by continuously validating for security configuration and posture before being granted or keeping access to applications and data across users and their associated devices. All entities are untrusted by default; least privilege access is enforced; and comprehensive security monitoring is implemented.

Here are the basic properties for ZTA/ZTS

  • Default deny
  • Access by policy only
  • For data, workloads, users, devices
  • Least privilege access
  • Security monitoring
  • Risk-based verification

How API implement ZTA/ZTS?

API Security focuses on strategies and solutions to understand and mitigate the unique vulnerabilities and security risks of Application Programming Interfaces (APIs). In API security we establish certain rules and processes to mitigate security risks.  These rules and processes are around Zero trust architecture or strategy. Here are a few basic strategies in API security to implement ZTA.

  1. All API communications are secured regardless of network location – This risk can be mitigated by ensuring all communication happens over an encrypted communication channel (TLS) and implementing a proper Cross-Origin Resource Sharing (CORS) policy. The endpoint for API needs to be exposed through the HTTPS protocol.
  2. All API endpoints are authenticated regardless of their environments (Prod, QA, Dev) — By default, all APIs need to be authenticated and authorized using username/password, JSON Web Token (JWT), OAuth, OpenID Connect, or third-party services.
  3. All API resources are protected and restricted to all users by default — Running multiple versions of an API requires additional management resources from the API provider and expands the attack surface. As per ZTA, make sure all API versions and their resources are restricted if it is not used by the user. Always validate and properly sanitize data received from integrated APIs before using it.
  4. Access to API resources is determined by dynamic policy including the client identity, application/service, and the requesting asset – Any API requires resources such as network bandwidth, CPU, memory, and storage. It is easy to exploit these resources by simple API calls or multiple concurrent requests. According to Zero Trust Architect, all APIs must implement API policies like:
    • Client identity (ClientID/Client-Secret)
    • Execution timeouts (Rate limiting)
    • Maximum allowable memory
    • Maximum number of file descriptors
    • Maximum number of processes
    • Maximum upload file size
  5. Implement or configure API monitoring posture and API Alert system — API monitoring helps identify and resolve performance issues as well as security vulnerability issues before they negatively impact users, which can impact user experience. The alert system notifies the operation team to mitigate risk quickly.
  6. Continuous API security risk assessments – Continuous risk assessments help the Infosec/Security team identify any security risk gap. By conducting the security risk assessments, organizations establish a baseline of cybersecurity measurements, and such baselines could be referenced to or compared against future results to improve overall cyber posture and resiliency further and demonstrate progress. A Free Security assessments tool VAT is available to mitigate any security risk for your organization.

https://www.vanrish.com/secassessment/

Organizations that have adopted the Zero Trust API model, see trust as fundamental to creating a positive, low-friction work culture for their clients and empowering the organization at all levels. Many of our Vanrish Technology clients, we worked with have many of the technologies in place that can be leveraged toward full Zero Trust architect model adoption.

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API Security

Modern-day APIs are the building block for integration and application for any organization. Every day organizations are using APIs to unlock new features and enable innovation. From banks, retail, and transportation to IoT, autonomous vehicles, and smart cities, APIs are a critical part of modern mobile, SaaS, and web applications and can be found in customer-facing, partner-facing, and internal applications.

Organizations are exposing sensitive data, such as Personally Identifiable Information (PII) through APIs, and because of this have increasingly become a target for attackers. Due to this organizations are concerned about their API security & compliance. API Security focuses on strategies and solutions to understand and mitigate the unique vulnerabilities and security risks of Application Programming Interfaces (APIs). According to the Open Web Application Security Project (OWASP) 2023, these API threats are categorized into 10 different categories

  1. Broken Object Level Authorization (BOLA) – Object-level authorization is an access control mechanism that is usually implemented at the code level to validate that a user can only access the objects that they should have permission to access.
    Comparing the user ID of the current session (e.g. by extracting it from the JWT token) with the vulnerable ID parameter isn’t a sufficient solution to solve Broken Object Level Authorization (BOLA).

    For example, any API providing a listing of all school revenue based on the school’s name of any county could be a security threat like this API endpoint: /county/{schoolName}/revenues.
    Hacker simply manipulates {schoolName} in the above endpoint’s school name to get all revenue details for all schools.

    To mitigate this risk Use the authorization mechanism to check if the logged-in user has access to perform the requested action on the record in every function that uses an input from the client to access a record in the database.
  2. Broken Authentication – API authentication is very vulnerable and an easy target for attackers. Attackers can gain complete control of other users’ accounts in the system, read their personal data, and perform sensitive actions on their behalf.

    API authentication flow and process need to be well protected and “Forgot password / reset password” should be treated the same way as authentication mechanisms. Make sure you know all possible flows to authentication to API (Mobile/Web/any link) and it gets well protected with authentication.
  3. Broken Object Property Level Authorization – When authorizing a user to access an object using an API endpoint, It is very important to validate that the user has permission to access the specific or all object properties.
    An API endpoint is considered as vulnerable if :
    • The API endpoint exposes properties of an object that are considered sensitive and should not be read by the user.
    • The API endpoint allows a user to change, add/or delete the value of a sensitive object’s property which the user should not be able to access.

      When you are exposing any API endpoint, always make sure that the user has access to the object’s properties you expose and avoid using any generic methods like to_json() and to_string().
  4. Unrestricted Resource Consumption – Enabling any API request, requires resources such as network bandwidth, CPU, memory, and storage. These resources have limited bandwidth and money associated with these resources.

    It is easy to exploit these resources by simple API calls or multiple concurrent requests. An API is vulnerable if at least one of the following limits is missing or set inappropriately.
    • Execution timeouts
    • Maximum allowable memory
    • Maximum number of file descriptors
    • Maximum number of processes
    • Maximum upload file size
    • Number of operations to perform in a single API client request (e.g. GraphQL batching)
    • Number of records per page to return in a single request-response
    • Third-party service providers’ spending limit
  5. Broken Function Level Authorization – If any of the administrative API flows like delete, update, or create expose to unauthorized users it will be an easily vulnerable API endpoint. The best way to find broken function level authorization issues is to perform a deep analysis of the authorization mechanism while keeping in mind the user hierarchy, different roles or groups in the application, and asking the following questions:
    • Can a regular user access the administrative endpoint?
    • Can a user perform sensitive actions (e.g. creation, modification, or deletion) that they should not have access to by simply changing the HTTP method (e.g. from GET to DELETE)?
    • Can a user from Group X access a function that should be exposed only to users from Group Y, by simply guessing the endpoint URL and parameters?

      To mitigate this risk, the enforcement mechanism(s) must deny all access by default, requiring explicit grants to specific roles for access to every function.
  6. Unrestricted Access to Sensitive Business Flows — When you create an API endpoint some endpoints are more sensitive and critical than others. It is very important to understand which API endpoint and business flow you are exposing to the customer. Any restricted business flow exposed to clients can harm your business. In general, technical impact is not very severe but business impact might hurt your company’s credibility.

    For example, if your company offers a discount for one customer 20% and another customer 30% through API, if the first customer knows this discount variation, it will impact the credibility of the company as well as revenue loss.
    The mitigation planning should be done in two layers:
    • Business – identify the business flows that might harm the business if they are excessively used.
    • Engineering – choose the right protection mechanisms to mitigate the business risk.
  7. Server-Side Request Forgery – Server-Side Request Forgery (SSRF) vulnerability occurs when you are consuming remote APIs and resources without validating the remote endpoint or user-supplied URL. SSRF enables attackers to force the application to send formatted requests to an unknown destination even if protected by a firewall. Successful exploitation might lead to internal services enumeration (e.g. port scanning), information disclosure, bypassing firewalls, or other security mechanisms.

    The SSRF risk cannot be eliminated but you can mitigate these risks by isolating the resource fetching mechanism in your network, accepting media types for a given functionality, disabling HTTP redirections, Validating and sanitizing all client-supplied input data, and Using a well-tested and maintained URL parser to avoid issues caused by URL parsing inconsistencies.
  8. Security Misconfiguration — Security Misconfiguration vulnerability occurs when the latest patches are missing on the server or systems are outdated, Transport Layer Security (TLS) is missing, A Cross-Origin Resource Sharing (CORS) policy is missing, Error messages include stack traces or expose other sensitive information. Attackers often attempt to find unpatched flaws, common endpoints, services running with insecure default configurations, or unprotected files and directories to gain unauthorized access or knowledge of the system. These Security misconfigurations not only expose sensitive user data but also system details that can lead to full server compromise.

    Security misconfiguration risk can be mitigated by a repeating hardening process leading to fast and easy deployment, ensuring all communication happens over an encrypted communication channel (TLS), and implementing a proper Cross-Origin Resource Sharing (CORS) policy.
  9. Improper Inventory Management — It is important for organizations not only to have a good understanding and visibility of their own APIs and API endpoints but also how the APIs are storing or sharing data with external third parties. Multiple versions of APIs need to be properly managed, secure, patched and well-documented. Hackers usually get unauthorized access through old API versions or endpoints left running unpatched and using weaker security. requirements.
    Improper Inventory Management security vulnerability can be mitigated by documenting all hosted APIs for all environments (Prod or Non-Prod), Generating documentation automatically by adopting open standards and avoiding using production data with non-production API deployments.
  10. Unsafe Consumption of APIs — Unsafe Consumption of APIs vulnerability occurs when your developers tend to adopt weaker security standards, for instance, in regard to input validation, sanitization, URL redirections and not implementing timeouts for interactions with third-party services.
    This vulnerability can be mitigated by implementing proper data validation, and schema validation. Ensuring all API interaction happens on secured communication channels like TLS. Maintain an allowlist of well-known locations integrated APIs may redirect yours to do not blindly follow redirects.
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Why Airlines Need Digital Transformation

When the Wright brothers flew their first plane they never imagined that after 100 years this industry will be one of the biggest and most complex. Initially Airlines were a part of luxury transportation but nowadays it is a necessity for most. Every day thousands of airplanes are flying and millions of passengers are reaching their destination.

To streamline the whole process, all departments of airlines should work synchronously and efficiently. There are a lot of variables involved to execute one task efficiently with a very little margin for error. The airline industry is the best example of machines and humans working together in harmony, which allows tasks to be completed quickly and accurately without any errors. The Airline’s biggest challenge is finding ways to reduce costs while still providing quality service.

Airline industries need to put forward the best process in place in order to remain competitive and profitable. All processes, including, operational structure, route network, fleet size, and pricing strategy need to be digitized and transparent to compete against their competitors and continue to be cost-effective.

Successful Adoption of Digital Transformation is the key to success to Airlines business.

Digital transformation allows Airlines to enable data efficiently and securely. It also helps in reducing the cost of operation and increases the efficiency.

Here are few area where Digital Transformation is helping Airlines to work efficiently and cost-effective .

Market & Partner Data – The Covid pandemic was a big disruption for the Airline market. Tracking and monitoring real-time Covid data after the pandemic is very important in managing your operation efficiently. Airlines work with their partner to get Market Data, Events, Weather, Traveler In-Flux, Reviews, and External Traveler Information for their operation. Integration with partner data is very important to get contextual insights for airlines.

Travel  Data – To run the airline industry efficiently their passenger System of Record needs to integrate efficiently. Those system are not limited to  Passenger service system (PSS),Computer reservation system ( CRS), Global distribution system (GDS), Enterprise Resource Planning (ERP), Traveler Profile, Fare, Schedule, Availability, Preferences, Assets, and Distribution with Offers & Orders (NDC).

Intent & Sentiment Data – Social Media Platform is one of the invaluable tools for airlines to stay ahead of their competitors. By leveraging Sentiment & Intent Behavior analysis on social media platforms, airlines can better understand passenger preferences and tailor services accordingly. This helps the Airlines build customer loyalty and increase profits over time.

Customer & Services Data – Managing historical customer and service data help airlines to get their customer sentiment and preference. These data includes Demographic and Identity Data, Profile, Cases Contact Center History, and Service Interactions data. This data helps airlines to understand passenger preference and provide better service. 

Marketing & Loyalty – Digital Transformation combining predictive analytics and human-centric design to create a more personalized experience to drive growth in loyalty, satisfaction and incremental revenue. It also helps in marketing to track Campaign Metrics, Digital Footprint, Experiential Targeting, Audience Segmentation, Digital Marketplace. 

Devices & Location Data – Airlines operation depends on IoT Sensor Data, Telemetry, Mobile, Voice, Geolocation, Location-Based data. This Intelligence based data is revolutionizing procurement through real time decision making. Allow the operational team to know the exact location of goods at any given time.

These are the big impact of digital transformation in airlines industries

  • Quicker time to market
  • Smooth Transitioning
  • Enhanced Business Agility
  • Reduce cost
  • Innovate and drive operational excellence   
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Retail 2023: The new Trend

From the last few years COVID pandemic has changed the whole Retail business spectrum in ways we could have never imagined before. Exploring new and accelerated trends gives us an indication of how this evolution will continue into the new normal. This pandemic also leads to closure of countless stores and bankruptcy. After surviving from the pandemic, inflation is hard hitting Retail business. Supply chain is also getting impacted with the Russia-Ukraine war. Now experts are saying that the greatest risk facing global supply chains has shifted from the pandemic to the Russia-Ukraine military conflict and the geopolitical and economic uncertainties.

With all this news for Retail industries, customer expectations and habits have shifted. Customers expect engagement on values to go beyond point of purchase to creating moments of engagement across the full journey. Now retailers have been compelled to find new ways to connect with consumers in a personalized and tailored way in-store as well as online to make a more intuitive experience. Retailers are going more digitized in their approach to connect with customers.

This is how retailers are moving forward to reach a wider customer base and lure their product. 

  1. e-commerce Technologies – In pandemic time if your business presence was not online then you will be out of business quickly. So Retailers have increased investment in e-commerce technologies. They increased the budget for digital transformation. To get ahead of competition, they are offering a mix of digital and physical experiences ahead of their rivals. Retailers are also focusing on customer service and providing seamless service experience across messaging, web and mobile channels. Retailers are creating a cohesive and connected customer shopping journey with e-commerce and unified data across systems.
  1. Infrastructure– Retailers are upgrading their instore as well as online infrastructure. They are replacing traditional store signs with digital signs and screens to display ads and videos. They are also adding kiosks and self-checkouts within the store. This is making the shopping experience more convenient and personalized. Shoppers are in and out, without having to make small talk or wait in queues. Deployment of in-store technologies double in a year.
  1. API-first and Cloud – Retailers are focused on Composable architecture. Composable architectures are key players to  implement successful digital transformations and most engaging digital experiences. 2023 will be a year of focus for retailers to remove entirely their legacy monolithic architectures. API-first and Cloud based solutions help retailers to switch to new functionality without the need for significant investment and resources. This will reduce the incredible amount of time and cost of ownership of a fraction of legacy technologies. API-first connectivity helps customers to shop anytime, anywhere and anyhow. 
  1. Customer experience – Customer experience is the one the main focus for Retailers this year. The focus of customer experience is online as well as in store experience. Retailers are providing customers enhanced assisted-selling experiences through assisted Selling. They are also focusing online customers through distributed OMS (Order Management System), Omni-channel and remote Selling. Retails are preparing for next level customer experience through loyalty(customers long-term relationships), native App and AI based digital fitting room.
  1. Merchandising & Supply Chain – Retailers are providing real time tracking and inventory information to their customers. They are also providing purchase incentives to their loyal customers so that they can keep engaging customers for their products. Retailers are also focusing on upgradation of warehouse management (WMS) to fulfill in-store as well as online orders.
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Recession: Impact in Software as a Service(SaaS) 

Global uncertainties continue to dominate headlines. Inflation is expected to reach the highest levels of ~3.5% in the US and Europe by the end of 2023. To ease inflation, Central Banks need to dampen demand, by making it expensive (for financial institutions, businesses and households) to borrow by increasing Federal Reserve interest rates . We are expecting a federal rate hike of 4.75% – 5.0% by the end of 2023. These are all data showing we are heading toward recession. The US labor market was robust last quarter but this quarter it is not very promising. Everyday we are hearing layoff news from different sectors.

IMF inflation forecast

These inflation and layoff news are impacting our tech market. Many companies have a growth challenge: They expect to get as much as 50 percent of their revenue from new businesses and products by 2026 but are not on a path that will take them there. Current economic conditions are forcing high-growth yet unprofitable tech startups to tighten their financial belts.

There are few realities, software companies are facing for their growth.

US-based Venture capitalists backed software startups slowed down – VC are very clear of high valuation and demanding that companies spend less, improve profit margin and high output. Unicorn creation also slowed in 2022 Q4. This is one of the lowest quarterly count since the first quarter of 2020.

Depressed company valuations – Private company valuations are cooling down. Over the last 4 quarters, we have seen public valuations compressing.

 Software companies have three critical revenue streams.

  1. License / Subscription Revenue – When the customer pays for the right to own and use a copy of the software/hardware product or subscribe/access  software platform
  2. software or hardware product – Customer pays for ongoing support or premium support.
  3. Cloud based licensed software – Customer pays the software provider for specific deliverables such as software implementation or technical training.

In the current world all these 3 revenue streams are shrinking. Companies are using only essential services to run their business. This is directly impacting software revenue, which is leading these companies into low valuation.

Infrastructure Maintenance –  SaaS companies are providing the software as a service. This means the customer does not have to purchase hardware to run the software—that cost is transferred to the SaaS provider. This is implying continuous software running coast. This cost is not going anywhere.So due to inflation this SaaS running cost increases tremendously.

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RPA, BOTS, AI and API

In today’s competitive markets, industries face many challenges in order to remain successful. These include staying ahead of the competition, understanding customers need and preferences, and providing a high level of service that will make customers happy.

Here are few challenges for current industries

  1. Resolve customer issues ASAP
  2. Collect and qualify customer information
  3. Easily connect to business process
  4. Enable business new features quickly.

In current business requirements 90% of organizations see increased demand for automation from business teams, due to that 95% of IT leaders are prioritizing automation. 

Automation is a critical component of digital transformation and business success. Robotic Process Automation (RPA) bots are at the forefront of this revolution, providing businesses with an automated solution to optimize their processes while improving customer experiences. RPA bots can be used in many areas such as data entry, document processing and workflow management; they automate repetitive tasks that would otherwise take up valuable resources from human employees. This automation not only increases efficiency but also reduces costs associated with manual labor, allowing companies to focus on more pressing issues like innovation or collaboration between departments. By utilizing intelligent bots powered by artificial intelligence (AI), companies can further streamline operations and provide customers with immediate feedback on requests or inquiries in real time without manual intervention from employees. Additionally, natural language processing (NLP) capabilities allow chatbots used in websites or apps to respond quickly and accurately when communicating with customers.

Using NLP, Bots can decipher specific sentences or words customers type and associate them to an intent. NLP provides insights by analyzing past chat transcripts to identify common customer utterances or phrases (such as order status, account information, password reset, logging an issue, etc.) that the Bot can use to take action. A predictive model for bots to understand intent and take action called intent model. The intent model is made up of intents and utterances.

APIs , NLP and AI are the essential components for Bots. Once an intent model from NLP identifies action then Bots call APIs. APIs help to execute tasks from the backend system for Bots. Suppose if users are looking for order status from bots and APIs are not responding on time it will fail the whole Bots purpose. So APIs are one of the key components for Bots.

APIs streamline Bots tasks and automated any process/tasks for any team. Bots and APIs empower business and IT teams to collaborate with ease and break silos in every step of their automation journey. Enable end-to-end automation at scale Reuse and compose RPA securely.

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API Security

API is a key component of digital transformation. API is the interface of your legacy and SAAS data. The goal of APIs is to facilitate the transfer and enablement  of data between your system and external users. APIs are typically available through public networks like the internet to communicate to external users and expose your data into the public domain.

Since your data is exposed into the public domain through APIs, It can lead to a data breach. APIs can be broken and expose sensitive personal as well as company data. An insecure API can be an easy target for hackers to gain access to your system and network. Rise of IOT devices and usage of APIs by these IOT devices, APIs are now more vulnerable. 

According to owasp, these are 10 main API vulnerabilities.

  1. Broken Object Level Authorization – Expose endpoints that handle object identifiers, creating a wide attack surface Level Access Control issue.
  2. Broken User Authentication – Authentication mechanisms are implemented incorrectly.
  3. Excessive Data Exposure – Developers  expose all object properties without considering their individual sensitivity
  4. Lack of Resources & Rate Limiting – APIs do not impose any restrictions on the size or number of resources that can be requested by the client/user, lead to Denial of Service (DoS) attack on APIs
  5. Broken Function Level Authorization – Complex access control policies with different hierarchies lead to authorization flaws.
  6. Mass Assignment – Without proper properties filtering based on an allowlist, usually leads to Mass Assignment.
  7. Security Misconfiguration – Misconfiguration or lack of Security configuration  is commonly a result of insecure APIs
  8. SQL Injection – SQL Injection occurs when untrusted data is sent to an interpreter as part of a command or query.
  9. Improper Assets Management – APIs tend to expose more endpoints than traditional web applications lead to improper expose APIs.
  10. Insufficient Logging & Monitoring – Insufficient logging and monitoring fail to find your vulnerability and broken integration.

How to mitigate API security risk?

  • API supports secure sockets layer (SSL), transport layer security (TLS), and Hypertext Transfer Protocol Secure (HTTPS) protocols, which provide security by encrypting data during the transfer process.
  • Apply Basic Auth minimum with API or  if you want to more secure your API then enable 2 way authentication through OAuth framework . 
  • Apply Authorization on each API resource to more control on API security through external Identity and access management provider (IAM).
  • Use encryption and signatures to all your API exposed personal and organizational sensitive data.
  • Apply API throttling through API manager to control number of user access per API (Rate Limiting).
  • Implement best practice of exception handling on your APIs to hide all your internal server and database information to mitigate SQL injection security risk.
  • Use Service Mesh to manage different layers of API management and control.
  • Audit your APIs and remove all unused API from your API catalog.
  • Add proper logging, Monitoring and Alerting on your APIs to keep track of your APIs activity.

Conclusion: APIs are a critical part of modern AI, mobile, SaaS, IOT and web applications. APIs Security should be the main focus on strategies and solutions to mitigate the unique vulnerabilities and security risks .

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Covid 19 :Digital Transformation

Digital Transformation

The coronavirus (COVID-19) outbreak is one of the worst pandemic in recent history. This pandemic is affecting almost every person in the world. This pandemic is changing our living style, working style and also affecting our society.

This pandemic crisis raised a number of unique challenges among small and enterprise businesses. Organizations are navigating the business and facing unique operational challenges and delivering their product to their customers during the pandemic. 

During this COVID-19 pandemic crisis here are few business challenges 

  • Resource Management 
  • Client Management 
  • Digital/online transformation 
  • Employee Remote work management

In this pandemic crisis API is playing a pivotal role to help their customers to migrate their business into digital through digital transformation solutions. API is playing a pivotal role to expedite digital transformation. API is also providing a platform  and solution for crisis management during this pandemic.

Here is API solution for business

  • Make decisions — APIs are creating open platforms that expose critical COVID and organization data to enable organization proper management and tracking.These API enable data are helping to create dashboard and AI model. These dashboard and AI models help organizations to  take decision or forecast their future strategy.
  • Respond and deliveries — Tracking and Management APIs are  enabling organizations to respond quickly for any crisis and deliver their product on time.This helps any organization to expand their business and digitalize their legacy system & assets.
  • Return to work — APIs, templates and connectors are helping to unlock employee data. Organizations are integrating with ERP systems through APIs and unlocking their employee and resources data during pandemic. It is also facilitating/helping their employees to return their work during pandemic time either remote or onsite.
  • Simplify delivery — Enabling APIs, templates and micro-services are helping to simplify and  improve their business process during pandemic.This is also helping to enable new innovation within organization and opening new business opportunity.

Covid 19 is also expediting digital transformation in healthcare. It is reshaping the way humans interact with technology in healthcare and Public Health Agencies  or Federal Regulators. COVID-19 is also pushing healthcare organizations to embrace the idea of digital health and intelligent data integration as a tool. “Contact tracing” during pandemics is only possible through enablement of APIs. Federal and state governments are getting “contact tracing” patient data through API and using this data to trace down the source of pandemic.

API is also enabling pharmaceutical industries to deliver medicine fast and on time. It is also helping to manage and track medicine dose and availability. 

Conclusion: Covid is disrupting whole industries and pushing companies to digital transform their process forever.

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Mulesoft Performance Tunning

API Performance Tunning
  1. Keep the application synchronous if possible. Synchronous flows avoid serialization/deserialization of messages sent through VM queues, do not cause context switches, and do not cause contention when messages move across thread pools.
  1. Store as little as possible in variables. The vars are serialized and deserialized every time a message crosses an endpoint, even if it is a VM endpoint. This will impact performance overhead in direct proportion to the size of variables and the number of endpoints. 
  1. Use Dataweave Java payloads whenever possible. The usage of a canonical data model is recommended for projects that deal with data (mapping, transformation etc.). It is also recommended to create them in Java objects as dataweave whenever possible, as this provides the fastest format to access fields and change information and to convert to other formats.
  1. Encourage dataweave  languages. For better performance, use Dataweave for simple data extraction from messages, and Java components with dataweave for everything else. 
  1. Use flow references instead of VM endpoints. To communicate between flows internally within an application, use flow references instead of VM endpoints. The VM connector, even though it is an in-memory protocol, emulates transport semantics that serialize and deserialize parts of your messages, most notably the vars. This makes it slower than a flow reference, which just injects messages into the referenced flow with no intermediate steps. Please note that in some cases the usage of VM endpoints is preferred (see the chapter on reliability patterns). For example, a Mule cluster can load balance applications that use VM endpoints by deferring execution to another, available node in the cluster.
  1. Cache aggressively. Take advantage of Mule’s caching scope when making requests to external resources like Web services or databases. Also consider caching reusable assets such as security tokens or ephemeral API keys and cookies. Mule’s Notification subsystem can additionally be used to “warm up” a cache when Mule starts. For example, consider doing this for situations where an initial cache miss is not acceptable.
  1. Configure message processors and endpoints at the global level. Some connectors allow you to configure some parameters at both the global and the endpoint/message processor level. We recommend placing the configuration at a global level to avoid repeated initialization of resources. 
  1. Avoid creating a large volume of business events. Business events incur performance overhead in Mule and in platform when platform’s internal event buffer overflows. Thus, avoid using either default flow level business events or a large volume of custom business events in a high message volume project.
  1. Consider using message compression. For communicating between Mule applications over the network consider using Mule’s compression processors to compress/decompress the message payloads before they hit the wire if their sizes are large.
  1. Consider using VM queues instead of an external message broker. VM queues are fast and have some guaranteed delivery semantics in a cluster. Consider using these instead of going out to an external messaging broker for inter-application Mule communication.
  1. Use the async scope when appropriate. If a flow is performing processing on a message that is neither modifying the message nor changing how it is routed, then it could be wrapped in an async block. This will cause the processing to occur in a different thread and will avoid adding unnecessary overhead to processing the message.
  2. Use connection pooling for connectors because the performance cost of establishing a connection to another data source, such as a database, is relatively high.
  3. Optimize your logging within your mule flows. Too much logging will slow down your process and too less logging will hard to debug.
  4. Encryption and decryption of data is very costly. Whenever your Mule application really needs then apply encryption/decryption on your data.

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APIs Integration with IOT and CRM improves Customer Service

APIs integration helping IOT and CRM to enable better customer experience

IOT (Internet of things) is revolutionizing our lives. As per Gartner report by 2025 IOT market will expand a 58-billion-dollar opportunity. It is affecting all parts of our life. In our pandemic era we found more use of IOT device to maintain social distancing.

IOT is also one of the main disruptive technologies in our businesses. It is affecting all business domain including healthcare, retail, automotive, security.

There are wide range of IOT benefits in business.

  • Enhanced productivity
  • Better customer experience
  • Cost-effectiveness

CRM system is keeping all your customer relationship like data, notes, metrics and more – in one place. CRM is helping small business to take off all burden from the IT management team by automating the business process. It is also helping employee to keep the focus on the critical business areas.

API is helping to integrate these two unrelated systems. APIs are enabling this system to optimize process and streamline whole business process. API is the main communication channel to build robust process and keeping real time update to these systems. APIs are allowing to build context-based application with IOT and CRM to interact with the physical world.

Now here are few areas where IOT is helping CRM system with help of APIs to optimize business process.

  1. Optimize customer service – Before your customer finds any error in your service/product you proactively acting on error and fixing those error. This will help to build relationship with customer.
  2. Increase sales – With help of IOT and CRM system you are finding untouched opportunity and using those opportunity to increase your sale.
  3. Personalize customer experience – You are analyzing data provided by IOT and CRM system and building user based predictive model to enable personalize experience to user.
  4. Customer retention – CRM provide customer data and relationship. IOT data providing customer behavior. This will help any business to personalize and target marketing for their customer.
  5. Omnichannel instore experience – IOT and CRM is helping business to enable 360 omnichannel customer experience. This process will help and suggest the products which the customer might purchase.

APIs  integration with IOT and CRM helping business to enable higher degree of personalization, target marketing, optimize price model, higher revenue and enhance customer satisfaction.