#graphql api calls

[codeonedigest]

Why to Use Graphql Explained with Example for API Developers

Full Video Link - https://youtube.com/shorts/hO2vbzF4cNk Hi, a new #video on #graphql usage for #microservice #api #developers is published on #codeonedigest #youtube channel. @java #java #awscloud @awscloud #aws @AWSCloudIndia #Cloud #CloudComp

GraphQL is a syntax for requesting data. It’s a query language for APIs. It lets you specify exactly what is needed, and then it fetches just that — nothing more, nothing less. GraphQL is the solutions to common REST issues like over fetching and multiple network request. REST is an API design architecture that has become the norm for implementing web services.  It uses HTTP to get data and…

[this-week-in-rust]

This Week in Rust 534

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Official

Announcing Rust 1.76.0

This Development-cycle in Cargo: 1.77

Project/Tooling Updates

zbus 4.0 released. zbus is a pure Rust D-Bus crate. The new version brings a more ergonomic and safer API. Release: zbus4

This Month in Rust OSDev: January 2024

Rerun 0.13 - real-time kHz time series in a multimodal visualizer

egui 0.26 - Text selection in labels

Hello, Selium! Yet another streaming platform, but easier

Observations/Thoughts

Which red is your function?

Porting libyaml to Safe Rust: Some Thoughts

Design safe collection API with compile-time reference stability in Rust

Cross compiling Rust to win32

Modular: Mojo vs. Rust: is Mojo 🔥 faster than Rust 🦀 ?

Extending Rust's Effect System

Allocation-free decoding with traits and high-ranked trait bounds

Cross-Compiling Your Project in Rust

Kind: Our Rust library that provides zero-cost, type-safe identifiers

Performance Roulette: The Luck of Code Alignment

Too dangerous for C++

Building an Uptime Monitor in Rust

Box Plots at the Olympics

Rust in Production: Interview with FOSSA

Performance Pitfalls of Async Function Pointers (and Why It Might Not Matter)

Error management in Rust, and libs that support it

Finishing Turborepo's migration from Go to Rust

Rust: Reading a file line by line while being mindful of RAM usage

Why Rust? It's the safe choice

[video] Rust 1.76.0: 73 highlights in 24 minutes!

Rust Walkthroughs

Rust/C++ Interop Part 1 - Just the Basics

Rust/C++ Interop Part 2 - CMake

Speeding up data analysis with Rayon and Rust

Calling Rust FFI libraries from Go

Write a simple TCP chat server in Rust

[video] Google Oauth with GraphQL API written in Rust - part 1. Registration mutation.

Miscellaneous

The book "Asynchronous Programming in Rust" is released

January 2024 Rust Jobs Report

Chasing a bug in a SAT solver

Rust for hardware vendors

[audio] How To Secure Your Audio Code Using Rust With Chase Kanipe

[audio] Tweede Golf - Rust in Production Podcast

[video] RustConf 2023

[video] Decrusting the tracing crate

Crate of the Week

This week's crate is microflow, a robust and efficient TinyML inference engine for embedded systems.

Thanks to matteocarnelos for the self-suggestion!

Please submit your suggestions and votes for next week!

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

* Hyperswitch - [FEATURE]: Setup code coverage for local tests & CI * Hyperswitch - [FEATURE]: Have get_required_value to use ValidationError in OptionExt

If you are a Rust project owner and are looking for contributors, please submit tasks here.

CFP - Speakers

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

Devoxx PL 2024 | CFP closes 2024-03-01 | Krakow, Poland | Event date: 2024-06-19 - 2024-06-21

RustFest Zürich 2024 CFP closes 2024-03-31 | Zürich, Switzerland | Event date: 2024-06-19 - 2024-06-24

If you are an event organizer hoping to expand the reach of your event, please submit a link to the submission website through a PR to TWiR.

Updates from the Rust Project

466 pull requests were merged in the last week

add armv8r-none-eabihf target for the Cortex-R52

add lahfsahf and prfchw target feature

check_consts: fix duplicate errors, make importance consistent

interpret/write_discriminant: when encoding niched variant, ensure the stored value matches

large_assignments: Allow moves into functions

pattern_analysis: gather up place-relevant info

pattern_analysis: track usefulness without interior mutability

account for non-overlapping unmet trait bounds in suggestion

account for unbounded type param receiver in suggestions

add support for custom JSON targets when using build-std

add unstable -Z direct-access-external-data cmdline flag for rustc

allow restricted trait impls under #[allow_internal_unstable(min_specialization)]

always check the result of pthread_mutex_lock

avoid ICE in drop recursion check in case of invalid drop impls

avoid a collection and iteration on empty passes

avoid accessing the HIR in the happy path of coherent_trait

bail out of drop elaboration when encountering error types

build DebugInfo for async closures

check that the ABI of the instance we are inlining is correct

clean inlined type alias with correct param-env

continue to borrowck even if there were previous errors

coverage: split out counter increment sites from BCB node/edge counters

create try_new function for ThinBox

deduplicate tcx.instance_mir(instance) calls in try_instance_mir

don't expect early-bound region to be local when reporting errors in RPITIT well-formedness

don't skip coercions for types with errors

emit a diagnostic for invalid target options

emit more specific diagnostics when enums fail to cast with as

encode coroutine_for_closure for foreign crates

exhaustiveness: prefer "0..MAX not covered" to "_ not covered"

fix ICE for deref coercions with type errors

fix ErrorGuaranteed unsoundness with stash/steal

fix cycle error when a static and a promoted are mutually recursive

fix more ty::Error ICEs in MIR passes

for E0223, suggest associated functions that are similar to the path

for a rigid projection, recursively look at the self type's item bounds to fix the associated_type_bounds feature

gracefully handle non-WF alias in assemble_alias_bound_candidates_recur

harmonize AsyncFn implementations, make async closures conditionally impl Fn* traits

hide impls if trait bound is proven from env

hir: make sure all HirIds have corresponding HIR Nodes

improve 'generic param from outer item' error for Self and inside static/const items

improve normalization of Pointee::Metadata

improve pretty printing for associated items in trait objects

introduce enter_forall to supercede instantiate_binder_with_placeholders

lowering unnamed fields and anonymous adt

make min_exhaustive_patterns match exhaustive_patterns better

make it so that async-fn-in-trait is compatible with a concrete future in implementation

make privacy visitor use types more (instead of HIR)

make traits / trait methods detected by the dead code lint

mark "unused binding" suggestion as maybe incorrect

match lowering: consistently lower bindings deepest-first

merge impl_polarity and impl_trait_ref queries

more internal emit diagnostics cleanups

move path implementations into sys

normalize type outlives obligations in NLL for new solver

print image input file and checksum in CI only

print kind of coroutine closure

properly handle async block and async fn in if exprs without else

provide more suggestions on invalid equality where bounds

record coroutine kind in coroutine generics

remove some unchecked_claim_error_was_emitted calls

resolve: unload speculatively resolved crates before freezing cstore

rework support for async closures; allow them to return futures that borrow from the closure's captures

static mut: allow mutable reference to arbitrary types, not just slices and arrays

stop bailing out from compilation just because there were incoherent traits

suggest [tail @ ..] on [..tail] and [...tail] where tail is unresolved

suggest less bug-prone construction of Duration in docs

suggest name value cfg when only value is used for check-cfg

suggest pattern tests when modifying exhaustiveness

suggest turning if let into irrefutable let if appropriate

suppress suggestions in derive macro

take empty where bounds into account when suggesting predicates

toggle assert_unsafe_precondition in codegen instead of expansion

turn the "no saved object file in work product" ICE into a translatable fatal error

warn on references casting to bigger memory layout

unstably allow constants to refer to statics and read from immutable statics

use the same mir-opt bless targets on all platforms

enable MIR JumpThreading by default

fix mir pass ICE in the presence of other errors

miri: fix ICE with symbolic alignment check on extern static

miri: implement the mmap64 foreign item

prevent running some code if it is already in the map

A trait's local impls are trivially coherent if there are no impls

use ensure when the result of the query is not needed beyond its Resultness

implement SystemTime for UEFI

implement sys/thread for UEFI

core/time: avoid divisions in Duration::new

core: add Duration constructors

make NonZero constructors generic

reconstify Add

replace pthread RwLock with custom implementation

simd intrinsics: add simd_shuffle_generic and other missing intrinsics

cargo: test-support: remove special case for $message_type

cargo: don't add the new package to workspace.members if there is no existing workspace in Cargo.toml

cargo: enable edition migration for 2024

cargo: feat: add hint for adding members to workspace

cargo: fix confusing error messages for sparse index replaced source

cargo: fix: don't duplicate comments when editing TOML

cargo: relax a test to permit warnings to be emitted, too

rustdoc: Correctly generate path for non-local items in source code pages

bindgen: add target mappings for riscv64imac and riscv32imafc

bindgen: feat: add headers option

clippy: mem_replace_with_default No longer triggers on unused expression

clippy: similar_names: don't raise if the first character is different

clippy: to_string_trait_impl: avoid linting if the impl is a specialization

clippy: unconditional_recursion: compare by Tys instead of DefIds

clippy: don't allow derive macros to silence disallowed_macros

clippy: don't lint incompatible_msrv in test code

clippy: extend NONMINIMAL_BOOL lint

clippy: fix broken URL in Lint Configuration

clippy: fix false positive in redundant_type_annotations lint

clippy: add autofixes for unnecessary_fallible_conversions

clippy: fix: ICE when array index exceeds usize

clippy: refactor implied_bounds_in_impls lint

clippy: return Some from walk_to_expr_usage more

clippy: stop linting blocks_in_conditions on match with weird attr macro case

rust-analyzer: abstract more over ItemTreeLoc-like structs

rust-analyzer: better error message for when proc-macros have not yet been built

rust-analyzer: add "unnecessary else" diagnostic and fix

rust-analyzer: add break and return postfix keyword completions

rust-analyzer: add diagnostic with fix to replace trailing return <val>; with <val>

rust-analyzer: add incorrect case diagnostics for traits and their associated items

rust-analyzer: allow cargo check to run on only the current package

rust-analyzer: completion list suggests constructor like & builder methods first

rust-analyzer: improve support for ignored proc macros

rust-analyzer: introduce term search to rust-analyzer

rust-analyzer: create UnindexedProject notification to be sent to the client

rust-analyzer: substitute $saved_file in custom check commands

rust-analyzer: fix incorrect inlining of functions that come from MBE macros

rust-analyzer: waker_getters tracking issue from 87021 for 96992

rust-analyzer: fix macro transcriber emitting incorrect lifetime tokens

rust-analyzer: fix target layout fetching

rust-analyzer: fix tuple structs not rendering visibility in their fields

rust-analyzer: highlight rustdoc

rust-analyzer: preserve where clause when builtin derive

rust-analyzer: recover from missing argument in call expressions

rust-analyzer: remove unnecessary .as_ref() in generate getter assist

rust-analyzer: validate literals in proc-macro-srv FreeFunctions::literal_from_str

rust-analyzer: implement literal_from_str for proc macro server

rust-analyzer: implement convert to guarded return assist for let statement with type that implements std::ops::Try

Rust Compiler Performance Triage

Relatively balanced results this week, with more improvements than regressions. Some of the larger regressions are not relevant, however there was a real large regression on doc builds, that was caused by a correctness fix (rustdoc was doing the wrong thing before).

Triage done by @kobzol. Revision range: 0984becf..74c3f5a1

Summary:

(instructions:u) mean range count Regressions ❌ (primary) 2.1% [0.2%, 12.0%] 44 Regressions ❌ (secondary) 5.2% [0.2%, 20.1%] 76 Improvements ✅ (primary) -0.7% [-2.4%, -0.2%] 139 Improvements ✅ (secondary) -1.3% [-3.3%, -0.3%] 86 All ❌✅ (primary) -0.1% [-2.4%, 12.0%] 183

6 Regressions, 5 Improvements, 8 Mixed; 5 of them in rollups 53 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

eRFC: Iterate on and stabilize libtest's programmatic output

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

RFC: Rust Has Provenance

Tracking Issues & PRs

Rust

[disposition: close] Implement Future for Option<F>

[disposition: merge] Tracking Issue for min_exhaustive_patterns

[disposition: merge] Make unsafe_op_in_unsafe_fn warn-by-default starting in 2024 edition

Cargo

[disposition: merge] feat: respect rust-version when generating lockfile

New and Updated RFCs

No New or Updated RFCs were created this week.

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

RFC: Checking conditional compilation at compile time

Testing steps

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2024-02-14 - 2024-03-13 💕 🦀 💕

Virtual

2024-02-15 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn

2024-02-15 | Virtual + In person (Praha, CZ) | Rust Czech Republic

Introduction and Rust in production

2024-02-19 | Virtual (Melbourne, VIC, AU)| Rust Melbourne

(Hybrid - in person & online) February 2024 Rust Melbourne Meetup - Day 1

2024-02-20 | Virtual (Melbourne, VIC, AU) | Rust Melbourne

(Hybrid - in person & online) February 2024 Rust Melbourne Meetup - Day 2

2024-02-20 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2024-02-20 | Virtual | Rust for Lunch

Lunch

2024-02-21 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust for Rustaceans Book Club: Chapter 2 - Types

2024-02-21 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2024-02-22 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-02-27 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

2024-02-29 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup | Mirror: Berline.rs page

2024-02-29 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Surfing the Rusty Wireless Waves with the ESP32-C3 Board

2024-03-06 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2024-03-07 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-03-12 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2024-03-12 | Hybrid (Virtual + In-person) Munich, DE | Rust Munich

Rust Munich 2024 / 1 - hybrid

Asia

2024-02-17 | New Delhi, IN | Rust Delhi

Meetup #5

Europe

2024-02-15 | Copenhagen, DK | Copenhagen Rust Community

Rust Hacknight #2: Compilers

2024-02-15 | Praha, CZ - Virtual + In-person | Rust Czech Republic

Introduction and Rust in production

2024-02-21 | Lyon, FR | Rust Lyon

Rust Lyon Meetup #8

2024-02-22 | Aarhus, DK | Rust Aarhus

Rust and Talk at Partisia

2024-02-29 | Berlin, DE | Rust Berlin

Rust and Tell - Season start 2024

2024-03-12 | Munich, DE + Virtual | Rust Munich

Rust Munich 2024 / 1 - hybrid

North America

2024-02-15 | Boston, MA, US | Boston Rust Meetup

Back Bay Rust Lunch, Feb 15

2024-02-15 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2024-02-20 | New York, NY, US | Rust NYC

Rust NYC Monthly Mixer (Moved to Feb 20th)

2024-02-20 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2024-02-21 | Boston, MA, US | Boston Rust Meetup

Evening Boston Rust Meetup at Microsoft, February 21

2024-02-22 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2024-02-28 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2024-03-07 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

Oceania

2024-02-19 | Melbourne, VIC, AU + Virtual | Rust Melbourne

(Hybrid - in person & online) February 2024 Rust Melbourne Meetup - Day 1

2024-02-20 | Melbourne, VIC, AU + Virtual | Rust Melbourne

(Hybrid - in person & online) February 2024 Rust Melbourne Meetup - Day 2

2024-02-27 | Canberra, ACT, AU | Canberra Rust User Group

February Meetup

2024-02-27 | Sydney, NSW, AU | Rust Sydney

🦀 spire ⚡ & Quick

2024-03-05 | Auckland, NZ | Rust AKL

Rust AKL: Introduction to Embedded Rust + The State of Rust UI

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

For some weird reason the Elixir Discord community has a distinct lack of programmer-socks-wearing queer furries, at least compared to Rust, or even most other tech-y Discord servers I’ve seen. It caused some weird cognitive dissonance. Why do I feel vaguely strange hanging out online with all these kind, knowledgeable, friendly and compassionate techbro’s? Then I see a name I recognized from elsewhere and my hindbrain goes “oh thank gods, I know for a fact she’s actually a snow leopard in her free time”. Okay, this nitpick is firmly tongue-in-cheek, but the Rust user-base continues to be a fascinating case study in how many weirdos you can get together in one place when you very explicitly say it’s ok to be a weirdo.

– SimonHeath on the alopex Wiki's ElixirNitpicks page

Thanks to Brian Kung for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[nosuchfuture]

Collected on Tezos (shown on Deca), June 2023

Collected on Tezoz, June 2023 (on deca.art)

I remain an avid collector of Tezos NFTs, and sometimes I like to put together galleries on deca.art. But June gave me a problem of scale: I collected ~95 pieces, thanks to a few events that month, including the Generative Architecture show at Verse.

Deca's search mechanism can be finicky, to make sure I included all the pieces I would need a worksheet. I extracted my collecting history from the chain using the TezTok GraphQL API, converted to a CSV sheet and set about getting through it.

It took quite a while, having to search for the occasional smart contract address and of course add all the names. The option to create galleries based on CSV files would be amazing, but it's probably not a feature thousands of users would ask for.

But it's nice to be able to browse work you collected, even in a minimal context like Deca. Let's call it salon style in a browser..

[robotico-digital]

Breaking Barriers in Software Quality: Advanced API Testing Services for Modern Architectures

In the dynamic landscape of software engineering, application performance, scalability, and reliability have become non-negotiables. With the shift from monolithic architectures to microservices, and the explosion of interconnected systems, APIs are now the backbone of modern digital ecosystems. As APIs grow in complexity and ubiquity, so too must the strategies used to test them.

At Robotico Digital, we understand that software quality hinges on much more than clean UI and functional frontends. It’s about what lies beneath — how systems interact, how services communicate, and how fast and securely data flows between components. This is where our API Testing Services break barriers, ensuring quality at the very core of your application stack.

Understanding API Testing in the Context of Modern Architectures

API Testing refers to the process of validating application programming interfaces (APIs) directly at the message layer, without the use of a GUI. It verifies that APIs return correct responses, handle errors appropriately, and meet performance and security expectations.

In microservices, APIs are the only communication mechanism between services. In serverless computing, APIs trigger the logic. And in mobile-first or headless applications, APIs drive every interaction.

Thus, API Testing Services today must adapt to modern environments by:

l Supporting asynchronous data flow and event-driven models.

l Validating REST, SOAP, GraphQL, gRPC, and WebSocket protocols.

l Integrating with CI/CD pipelines and DevOps tools for rapid iteration.

Why Traditional Testing Fails Modern Architectures

Legacy testing models often fall short because:

l They rely heavily on UI testing, which isn’t scalable or robust.

l They fail to isolate service-level issues in microservice deployments.

l They lack integration with agile development and DevOps cycles.

At Robotico Digital, we address these challenges with a future-ready API-first testing strategy that enables rapid development and secure, stable deployments.

Robotico Digital's Advanced API Testing Services: A Framework of Excellence

Our API Testing Services are structured around an advanced framework tailored for high-speed development environments, featuring:

1. Protocol-Agnostic Testing Architecture

Our test harness supports:

l REST, SOAP, GraphQL, gRPC, WebSocket, and JSON-RPC

l OAuth, JWT, and API Key-based authentication

l Complex nested payloads and chained request workflows

We don’t just send requests and verify status codes — we simulate real-world behavior.

2. Contract Testing with Swagger and OpenAPI

We validate API contracts using:

l Swagger and Postman schema validations

l Pact-based consumer-driven testing

l Automated schema diff tools

This ensures API consistency across development teams, especially in environments with multiple consumer applications.

3. Comprehensive Functional and Regression Suites

Our functional testing stack includes:

l Request/response validation with parameterized payloads

l Chaining dependent API calls to simulate real transactions

l Edge-case testing for malformed requests and injection handling

These suites form the backbone of our regression testing strategy, ensuring every build remains stable without code breaks.

Seamless Integration with DevOps Pipelines

In a CI/CD world, testing must be continuous. Robotico Digital provides seamless API Testing Service integration with:

l Jenkins, GitHub Actions, GitLab CI, Azure DevOps

l Dockerized test runners for isolated test environments

l Slack and Teams integrations for alerting and test reports

Tests are triggered automatically on code commits or builds, reducing human intervention and increasing speed.

API Test Automation: Scaling Quality at Speed

Automation is key to modern testing strategies. Robotico Digital leverages:

l Postman + Newman for exploratory and lightweight test execution

l REST Assured + TestNG for Java-based enterprise-grade test suites

l Cypress and Supertest for JavaScript and Node.js applications

l Karate DSL for end-to-end BDD-driven API Testing

We use data-driven test design and test parallelism to achieve high throughput and full API coverage — even across large microservices ecosystems.

Intelligent Test Data Management (TDM)

Test data is critical, especially when APIs depend on complex backend states. Our TDM solutions provide:

l Synthetic test data generation using Faker and Mockaroo

l Encrypted data masking for secure production cloning

l Environment-specific data pools to avoid cross-test pollution

This empowers our teams to run API tests with production-like reliability in test environments.

Performance & Load Testing of APIs

APIs underperforming in production can lead to latency, downtime, and failed transactions. Robotico Digital performs rigorous API performance testing, including:

Load Simulation with tools like JMeter, Gatling, and Locust

l Spike, soak, and stress testing to evaluate limits

l Latency monitoring across geographies

l Response time threshold validations

Our tests replicate thousands of concurrent requests, ensuring your APIs hold up under real-world traffic scenarios.

API Security Testing: Guarding the Gateway

Since APIs often expose business logic and sensitive data, security testing is non-negotiable. Robotico Digital incorporates security scanning into API Testing Services by:

l Validating for OWASP API Top 10 vulnerabilities

l Testing for broken authentication, excessive data exposure, rate limiting, and injection attacks

l Integrating Burp Suite, OWASP ZAP, and custom security probes into test pipelines

We don’t just test functionality — we test for resilience against malicious attacks.

Real-Time Reporting and Analytics

Transparency is critical. Our reporting dashboard includes:

l Detailed test summaries with pass/fail ratios

l Latency graphs and time-to-first-byte analysis

l Defect tracking with Jira, Azure Boards, or custom integrations

l REST APIs to extract test data into BI tools or custom reports

Clients always have clear visibility into the testing progress and quality metrics.

Future-Forward Testing with AI & ML

Robotico Digital is investing in the next generation of API Testing with:

l AI-based anomaly detection��using test execution logs

l Predictive analytics to identify flaky endpoints

l Self-healing scripts that auto-adjust to changes in API structures

l NLP-driven test generation for conversational interfaces and AI-driven apps

These features ensure our API Testing Services evolve alongside tomorrow’s tech stacks.

Why Choose Robotico Digital for API Testing Services?

Here’s what sets us apart:

l Protocol-flexible architecture for REST, GraphQL, gRPC & more

l Intelligent automation backed by AI and ML

l Deep integration of performance and security testing

l CI/CD-native workflows built for speed

l Real-time test reporting and analytics dashboards

l Domain expertise across finance, healthcare, retail, SaaS, and telecom

We don’t just validate APIs — we engineer confidence into your ecosystem.

Conclusion: Quality at the Core of Connectivity

As businesses increasingly rely on interconnected software and modular architectures, API quality is business quality. At Robotico Digital, we’re pushing the boundaries of what's possible with API Testing Services — from functional validations and performance simulations to proactive security and predictive analytics.

If you're building for scale, agility, and resilience, let Robotico Digital be your QA partner. We ensure every interaction your users experience is powered by secure, fast, and flawless APIs.

[webinfotech]

WordPress vs. Strapi: Which one you should Pick in 2025

Choosing the right content management system (CMS) for your website is very important. It can affect how easy it is to build your site, how fast it runs, and how well it grows. In 2025, two popular CMS choices are WordPress and Strapi. Both have strong features, but they are very different. This article will help you understand both so you can pick the best one for your needs. For more info you can check WordPress vs. Strapi: Which one you should Pick in 2025

What is WordPress?

WordPress is one of the most popular CMS platforms in the world. It is open-source, which means it’s free to use and many people help improve it. WordPress started as a blogging platform but now it can create many types of websites — like business sites, online stores, portfolios, and more.

Why people love WordPress:

Easy to use for beginners.

Lots of themes to change the look of your site.

Thousands of plugins to add extra features (like contact forms or SEO tools).

Works well for small and medium websites.

Large community for support and tutorials.

Example: If you want to build a blog or a small business website quickly without coding, WordPress is perfect.

What is Strapi?

Strapi is a newer CMS designed for developers who want full control over how their website works. It is called a headless CMS because it manages the content separately from how it is shown on the website.

With Strapi, you create the content in the back end, and you use modern technologies like React or Vue.js to build the front end. This makes it very flexible, but it requires coding skills.

Why developers like Strapi:

API-first design, so it works well with mobile apps and different platforms.

Supports both REST and GraphQL APIs.

Built with Node.js, so it’s very fast.

Good for complex websites or apps that need custom features.

Strong built-in security and user roles.

Advantages of WordPress

1. Easy to Use

WordPress is designed for people who don’t know coding. You can install it quickly and use drag-and-drop tools to build pages.

2. Lots of Features and Plugins

With thousands of plugins and themes, you can add almost any feature. Want an online shop? Use WooCommerce. Need an SEO tool? Use Yoast SEO.

3. Strong Community Support

Millions of users and developers share tips, tutorials, and free resources. If you have a problem, it’s easy to find help.

4. Good for SEO

WordPress has many plugins that help your site rank well on Google and other search engines.

5. Affordable Hosting Options

You can start with cheap shared hosting, which works well for small sites.

Disadvantages of WordPress

1. Performance Can Slow Down

Using too many plugins or a heavy theme can make your site slow.

2. Security Risks

Since WordPress is popular, hackers often target it. You must update plugins and themes regularly.

3. Limited Customization

If you want very unique features, WordPress can be limiting without advanced coding.

4. Can Become Complex

Managing many plugins and updates can confuse beginners.

Advantages of Strapi

1. Highly Customizable

Developers can create exactly what they want using APIs and code.

2. Modern Technology

Built on Node.js and works well with popular front-end frameworks.

3. Faster Performance

Lightweight and fast due to its API-first design.

4. Built-in Security

Role-based access control and secure APIs help protect content.

5. Flexible Content Delivery

You can deliver content to websites, mobile apps, or other platforms easily.

Disadvantages of Strapi

1. Requires Coding Knowledge

Not beginner-friendly. You need developers to build and maintain the site.

2. Smaller Community

Compared to WordPress, fewer people use Strapi, so less ready-made help is available.

3. Fewer Plugins

You often need to build features yourself, which can take more time.

4. Higher Hosting Costs

You need VPS or cloud hosting, which costs more than basic shared hosting.

When to Choose WordPress?

You are a beginner or non-technical user.

You want a simple blog, portfolio, or business website.

You want a quick setup with many ready-made themes and plugins.

You want to keep costs low with shared hosting.

You want built-in SEO tools and easy content management.

When to Choose Strapi?

You have developer skills or a developer team.

You want full control over your website and app backend.

You plan to build multi-platform apps (website + mobile).

You want fast performance and modern technologies.

You need a scalable, API-first system for complex projects.

How to Optimize WordPress for Better Speed

Use caching plugins like WP Rocket or W3 Total Cache.

Optimize images with compression tools like TinyPNG.

Use a CDN like Cloudflare or BunnyCDN.

Limit plugins to the essentials.

Upgrade to managed or VPS hosting if needed.

How to Optimize Strapi for Better Speed

Enable API caching with Redis or Memcached.

Optimize database queries.

Use GraphQL smartly to fetch only needed data.

Host on fast cloud services like AWS or DigitalOcean.

Use a headless frontend framework like Next.js for fast rendering.

FAQs

Q: Can I switch from WordPress to Strapi later? A: Yes, but it may require rebuilding your site because Strapi is a different type of CMS.

Q: Is Strapi good for SEO? A: Strapi does not have built-in SEO tools like WordPress plugins, so you need to handle SEO manually or with other tools.

Q: Which CMS is more secure? A: Strapi has better built-in security with role-based access control. WordPress depends on keeping plugins updated and using security plugins.

Q: Can I use Strapi without coding? A: No, Strapi requires programming knowledge to set up and customize.

Final Thoughts

Both WordPress and Strapi are excellent CMS options but for different users and projects. WordPress is the go-to choice for beginners and small to medium websites that need quick setups. Strapi is perfect for developers building custom, fast, and scalable applications with modern tech stacks.

If you want an easy-to-use website without coding, choose WordPress. If you want full control and flexibility and don’t mind coding, choose Strapi.

[pcrtisuyog]

The Anatomy of a Full Stack App: Explained Step by Step

In today's digital landscape, the demand for dynamic, scalable, and efficient web applications has grown exponentially. Whether you're scrolling through social media, ordering food, or managing your finances online, chances are you're interacting with a full stack development solution. But what exactly goes into building a full-fledged web app? Let’s break down the anatomy of a full stack app, explained step by step, in a way that’s both technical and easy to grasp.

What is Full Stack Development?

Full stack development refers to the process of building both the front-end (client side) and back-end (server side) parts of a web application. A full stack developer is someone who can manage the entire development process — from designing user interfaces to setting up databases and handling APIs.

These developers work simultaneously across different layers of a web application, ensuring seamless functionality, performance, and integration.

Core Components of a Full Stack Application

To better understand how a full stack app works, let’s explore its primary components:

1. Front-End (Client Side)

This is what users interact with directly — the visible part of a web application.

Languages Used: HTML, CSS, JavaScript

Frameworks/Libraries: React.js, Angular, Vue.js

Responsibilities:

Designing responsive layouts

Creating dynamic content

Ensuring a smooth user experience

2. Back-End (Server Side)

This is the backbone of the app — responsible for business logic, database interactions, and server management.

Languages Used: Node.js, Python, Java, Ruby

Frameworks: Express.js, Django, Spring

Responsibilities:

Handling API requests

Data processing

User authentication

Interfacing with databases

3. Database Layer

Data needs a safe place to be stored and retrieved. That’s where databases come in.

Types:

Relational (e.g., MySQL, PostgreSQL)

Non-relational (e.g., MongoDB)

Functions:

Store user data

Handle queries

Manage relationships and data integrity

4. APIs (Application Programming Interfaces)

APIs act as a communication bridge between the front-end and back-end.

RESTful APIs or GraphQL are often used

Functions:

Fetching or sending data to the server

Enabling third-party service integration (e.g., payment gateways)

5. Version Control and Deployment

Developers often use tools like Git and platforms like GitHub to manage code simultaneously in teams.

Deployment Tools: Docker, Jenkins, Netlify, Vercel, Heroku

Cloud Services: AWS, Google Cloud, Microsoft Azure

Benefits:

Continuous integration and delivery

Collaboration across teams

Automated testing and rollback features

How All Layers Work Simultaneously

A standout feature of full stack development is how each layer works simultaneously to deliver a seamless user experience. For instance:

A user fills a form (Front-End)

The form data is sent via an API call (API Layer)

The server processes the request (Back-End)

Data is stored or retrieved from a database (Database Layer)

The response is sent back and displayed to the user (Front-End)

All of these processes happen within milliseconds — a true example of coordinated effort!

Benefits of Full Stack Development

Here are a few key advantages:

End-to-End Control: Developers understand the full picture and can work across the project’s architecture.

Faster Development: With a single person or team handling both sides, time is saved.

Better Problem Solving: Troubleshooting is easier when one person understands both client and server logic.

Cost-Effective: Hiring fewer developers for multiple tasks can save resources, especially for startups.

Real-World Examples of Full Stack Apps

eCommerce Platforms like Shopify

Social Media apps like Instagram

Booking Systems such as Airbnb

Productivity Tools like Trello

All these apps are powered by technologies built through full stack development, functioning simultaneously across all layers.

Final Thoughts

The anatomy of a full stack development project reveals a sophisticated, layered system where all parts work simultaneously to bring digital experiences to life. Whether you're a budding developer or a business aiming to launch a digital product, understanding these steps can empower you to build smarter and more efficient applications.

In a world where speed, reliability, and user satisfaction define success, full stack development continues to shape the future of web and software solutions — one layer at a time.

[tccicomputercoaching]

How to Become a Full-Stack Developer? Beginner’s Guide

The journey to becoming a full-stack developer is very interesting and leads one to very bright paths of high salary jobs. Full-stack developers are the ones that work at both the front-end end (that is what the users see) and the back-end end (where all the server-side logic goes) of web applications. If you're someone new to the idea of becoming a full-stack developer, here's a step-by-step guide to help you get on your way.

1. Know the Fundamentals

Do not jump on any framework unless you are sure that you know the ins and outs of the fundamentals:

HTML & CSS: Structure them as well as style web pages.

JavaScript: It is the main language of web development.

Version Control (Git & GitHub): Crucial for collaboration and tracking any changes to the code.

2. Know Front-end Development

Most popular front-end technologies would include:

React.js, Angular, or Vue.js: Such frameworks are sufficient to develop dynamic user interfaces.

Responsive Design: Learn CSS such as Bootstrap or Tailwind CSS for mobile-friendly layout.

3. Start With Back-End Development

Choose a back-end language and framework:

Node.js (JavaScript): Whatever back-end you work with, this is probably safe for full-stack JavaScript developers.

Python (using Django/Flask): Very easy for newbies; extremely community-based.

Ruby on Rails or PHP: Other possible choices.

Learn SQL (PostgreSQL, MySQL) and NoSQL (MongoDB).

4. Learn about RESTful Services and APIs

APIs are connecting the front-end and back-end together. These include topics on:

REST API design

GraphQL (an alternative to REST)

Authentication (JWT, OAuth)

5. Get hands-on with the DevOps Essentials

Deploying applications is just as vital as coding them. Participate in:

Cloud platforms such as AWS, Heroku, or Firebase

Docker & CI/CD pipelines

6. Building Projects & Portfolio

Make use of your talent and bring out your magical powers in creating real-time projects:

To-Do App (Front-end + Back-end)

E-commerce Site (Full-stack along with payment integrated into it)

Blog Platform (User authentication + database)

7. Learning Always & Connecting

Read tech blogs, enroll for online certification courses, and contribute to some open-sourced project.

Join platforms for developers such as GitHub, StackOverflow, or Reddit.

Conclusion

It is indeed not an innate one-day talent but an effort over time to become sort of a full-stack developer. Keep working consistently, keep making projects, and keep in the loop with industry trends: Dedication will land you your dream job with no time!

Location: Bopal & Iskcon-Ambli in Ahmedabad, Gujarat

Call now on +91 9825618292

Visit Our Website: http://tccicomputercoaching.com/

[antonymarshall]

Top 7 Skills to Become A Full-Stack Developer in 2025

With the ever-increasing pace of technological change, the need for techies with multidisciplinary skills has never been higher. One of the most sought-after jobs in the tech field today is that of a Full-Stack Developer̶ one who could smartly trick both front and back-end development. By 2025, this position promises to be even more dynamic and skill-intensive than before, requiring the developers to be multi-talented, flexible, and always learning. Thus, whether you are just stepping into this profession or you're enhancing your skill set, full stack web development entails mastering as many skills as possible to stay relevant.

Let us check out the top 7 crucial skills that every full-stack developer should develop by 2025. Front-End Expertise The user interface is the first thing people see and interact with--that's why we call this front-end work fundamental. A full-stack developer must have a good working knowledge of HTML, CSS, and JavaScript, the trifecta of front-end development. For 2025, developers who know tools like React.js, Vue.js, and Next.js are in ever-increasing demand, as these frameworks can be used to develop dynamic, highly performant, and mobile-responsive web applications. One should also know a little about aspects such as responsive design and various browser compatibilities. Grasping concepts related to state management on the front end (for example, using Redux, Zustand, or the React Context API) boosts one's professional profile, with companies recognizing these competencies.

Strong Back-End Knowledge While the front-end sees what the user gets, the back-end makes things run in the background. Full-stack developers should command the lease on server-side programming using languages such as JavaScript (Node.js), Python (Django/Flask), Java (Spring Boot), or Ruby on Rails. You would need to know how to build RESTful APIs and work with user sessions, authentication, and authorization with communications to a database. Keeping in mind the social aspect of security and data integrity, it is also important for any practice to involve the rest-audit trail, validation, error handling, etc. Knowledge of cloud platforms like AWS, Google Cloud, or Azure would be an added advantage for deploying a scalable back end.

Database Management Every full-stack developer must have some hardcore database skills. It doesn't matter if it is the relational database world of MySQL or PostgreSQL or the advanced NoSQL world of MongoDB, you need to know how to work with schema design, efficient query writing, and database connection management. In 2025, a developer must know the difference between structured and unstructured data and know when to use what type of database. Indexing, normalization, and transactions will become especially critical to you as you build scalable applications. ORMs (Object Relational Mappers) like Sequelize or Mongoose are also crucial for streamlining code/database interaction.

Understanding of APIs APIs (Application Programming Interfaces) are the glue that binds together the various pieces of a system. A full-stack developer should be able to build and consume APIs. Although REST is still the most-used tool, GraphQL has emerged as an alternative technology due to its speed and flexibility. To properly build and solve any API issues, an understanding of Postman or Insomnia as tools is necessary. Familiarity with authentication methods, such as OAuth2.0, JWT (JSON Web Tokens), and API key management, secures your applications while they communicate with the different services.

Version Control Working on software projects without version control is akin to tight-rope walking without a safety net. Developers can use Git tools to track changes or collaborate more efficiently and roll back to previous versions and full-stack developers should know Git well enough to create branches and merge code to resolve conflicts and manage pull requests. Beyond 2025, GitHub, GitLab, and Bitbucket will be more relevant to the work process of the teams. Apart from collaboration, knowing Git shows the power and the discipline in practice concerning coding.

Performance Optimization Your web app must not just work, but also work fast. Performance optimization is nowadays inevitable in an era where user experience rules. On the front ends, such performance optimization encompasses reduced render time, reduced bundle size, lazy loading of components, or using CDNs. Back-end-side optimizations include the use of caching systems such as Redis, optimization in database query usage, and using effective server-side rendering methodologies. A full-stack developer should know how to use performance monitoring tools, such as Lighthouse and Google Web Vitals, and also backend profiling tools to identify and resolve bottlenecks.

Problem-Solving & Soft Skills: While technical skills are backbone assets in development, soft skills with problem-solving capabilities do much more to separate the wheat from the chaff in talented developers. This also includes proficiency in debugging codes and high-level thinking with systematic approaches toward solving problems in everyday development. Just as essential are communication, working as a team, and working in an agile environment. More and more, employers are looking for people who work as teammates but can also adjust easily to keep pace with ever-changing requirements, while contributing positively to the dynamics of a team.

Take up a Course: If in 2025, you really want to be a Full-Stack Developer, going for a regular course is going to be an accelerator in your skills. Make sure you find one that comes with hands-on projects, industry tools, and mentorship from seasoned pros. The course should be extensive — everything from HTML and JavaScript to back-end programming and deployment. Practical experience is the name of the game; the course should emphasize building an entire web application from scratch.

Conclusion Being a full-stack developer in 2025 will entail much more than just coding: it means knowing how every part of a web application fits together-from the user interface to the database. Mastering the above-mentioned seven basic skills will ensure your position as a really well-capable and competitive developer in today's technology-enriched world.

[souhaillaghchimdev]

API Programming

APIs (Application Programming Interfaces) are the bridges that allow different software systems to communicate. As a developer, understanding API programming is essential for building powerful, connected applications. In this post, we’ll explore what APIs are, how they work, and how you can start using them.

What is an API?

An API is a set of rules that allows one software application to interact with another. APIs define how requests should be made, how data is transferred, and what responses to expect.

Why APIs Matter

Connect Services: APIs let your app interact with services like payment gateways, social media, and weather data.

Efficiency: Instead of building everything from scratch, you can use APIs to access ready-made functionalities.

Automation: APIs make automation and integration between systems easy.

Types of APIs

REST APIs: Most common; use HTTP methods (GET, POST, PUT, DELETE).

SOAP APIs: Use XML-based messaging protocol; used in enterprise systems.

GraphQL: A modern alternative that allows clients to request specific data.

Common HTTP Methods in REST APIs

GET – Retrieve data

POST – Send data to be processed

PUT – Update existing data

DELETE – Remove data

Example: Calling an API with JavaScript (Fetch)

fetch('https://api.example.com/users') .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error));

Working with API Keys

Some APIs require an API key for authentication. This key verifies your identity and allows access to the API. Always keep your API keys secure and don’t expose them in public repositories.

Popular APIs to Explore

OpenWeatherMap: Weather data API

Spotify API: Music and playlist data

Twitter API: Post and fetch tweets

Google Maps API: Location and map services

News API: Access current headlines and news articles

Best Practices for Using APIs

Read the API documentation carefully

Use proper error handling (e.g., try/catch)

Throttle requests if rate-limited

Secure your keys and tokens

Test API responses with tools like Postman or Insomnia

Tools to Learn and Test APIs

Postman – API development and testing tool

Reqres – Fake API for practice

RapidAPI – Hub to discover and connect to APIs

Conclusion

API programming opens the door to powerful features and integrations in your applications. Whether you’re building a simple web app or a complex enterprise system, knowing how to work with APIs is a must. Start small, practice with public APIs, and soon you’ll be building dynamic, connected apps with ease.

[piembsystech]

Optimizing GraphQL Queries with Fragments

GraphQL Fragments: How to Use Reusable Queries for Efficient Data Fetching Hello, GraphQL enthusiasts! GraphQL Fragments – If you’re working with GraphQL, you’ve probably encountered the challenge of writing repetitive queries for fetching similar sets of data. Wouldn’t it be great if there were a way to reuse query structures and make your API calls more efficient? That’s where GraphQL…

[asadmukhtarr]

In modern web development, efficient data fetching is crucial for providing a smooth and responsive user experience. Traditional REST APIs can sometimes lead to over-fetching or under-fetching of data, causing unnecessary network calls or missing critical information. GraphQL, an API query language developed by Facebook, solves this problem by allowing clients to request exactly the data they need. In this guide, we’ll walk you through the steps of integrating Angular 19 with GraphQL for efficient data fetching, making your application more performant and responsive.

[codeonedigest]

Rest API Vs Graphql Tutorial with Example for Microservice Developers

Full Video Link - https://youtube.com/shorts/nFoO6xbEi4U Hi, a new #video on difference between #graphql & #restfulapi #restapi for #microservice #api #developers is published on #codeonedigest #youtube channel. @java #java #awscloud @awscloud

The core difference between GraphQL and REST APIs is that GraphQL is a specification, a query language, while REST is an architectural concept for network-based software. GraphQL is great for being strongly typed, and self-documenting based on schema types and descriptions and integrates with code generator tools to reduce development time. A REST API is an “architectural concept” for…

[dzinesoniya]

REST API vs. GraphQL: Which Should You Pick for Your Project?

So, you’re building an app and need to decide how it communicates with the server. You’ve heard of REST and GraphQL, but which one’s better? Let’s break it down in plain terms—no jargon, just real-world pros and cons.

What’s REST API?

Imagine walking into a restaurant with a fixed menu. Each dish (or resource) has its own dedicated page on the menu. That’s REST. It uses standard HTTP methods like GET (to fetch data), POST (to create), PUT (to update), and DELETE (to remove). For example:

GET /users → Returns a list of users.

GET /users/1 → Returns details for user #1.

Why REST works:

Simple to learn: Uses familiar web standards.

Caching-friendly: Browsers and servers can cache data easily.

Structured responses: Data comes in predictable formats like JSON.

But there’s a catch. What if you only need a user’s name and email? REST might send you the entire user profile, including stuff you don’t need (over-fetching). Or, you might need to make multiple requests to get related data (under-fetching).

What’s GraphQL?

GraphQL is like ordering a custom pizza. Instead of a fixed menu, you tell the server exactly what toppings you want. Developed by Facebook, it uses a single endpoint to handle all requests. Here’s how it works:

Send a query specifying the fields you need:

Copy

query {  

  user(id: 1) {  

    name  

    email  

  }  

}  

The server returns only the name and email—nothing extra.

Why GraphQL shines:

No over-fetching: Get only the data you ask for.

One request, multiple resources: Fetch users, their posts, and comments in a single query.

Real-time updates: Subscriptions let you push live data to clients.

But it’s not all roses. GraphQL has a steeper learning curve, and setting up a schema (a blueprint of your data) takes time.

REST vs. GraphQL: The Face-Off

Let’s compare them side by side:

Endpoints

REST: Multiple endpoints (like /users, /posts).

GraphQL: One endpoint to rule them all.

Flexibility

REST: You get what the server gives you.

GraphQL: You ask for exactly what you want.

Performance

REST: Might require 3-4 calls to fetch related data.

GraphQL: Grab everything in one trip.

Error Handling

REST: Uses HTTP status codes (e.g., 404 for “not found”).

GraphQL: Returns a 200 status even for errors, with details in the response body.

Caching

REST: Built-in HTTP caching works out of the box.

GraphQL: Needs extra tools (like Apollo) for caching.

When to Use REST

Stick with REST if:

Your app is simple, with clear data requirements (like a blog).

You want easy integration with third-party tools (payment gateways, social logins).

Caching is critical for speed.

For example, a website development company in India building a standard e-commerce site might choose REST for its simplicity and compatibility with existing tools.

When to Use GraphQL

Go with GraphQL if:

Your app needs complex, nested data (like a social media dashboard).

You want to reduce bandwidth by avoiding over-fetching.

Real-time features (live chat, notifications) are a priority.

A website development company in India working on a dynamic app—say, a food delivery platform with real-time order tracking���might prefer GraphQL for its flexibility.

The Verdict

Choose REST when:

You value simplicity and speed.

Your team is new to APIs.

Your project doesn’t need granular data control.

Choose GraphQL when:

Your app demands efficient, tailored data fetching.

You’re okay with a bit of upfront setup.

Real-time features are non-negotiable.

Final Tip: Not sure? Start with REST. It’s easier to prototype quickly. As your app grows, you can gradually adopt GraphQL for specific features. And hey, some projects even use both—REST for basic tasks and GraphQL for complex ones.

[tyfora]

APIs in 2025: The Backbone of Scalable and Future-Proof Mobile Apps

In 2025, Application Programming Interfaces (APIs) are more critical than ever in mobile app development, enabling seamless integrations, scalability, and future-proofing applications against rapid technological advancements. As businesses strive to deliver more connected, data-driven, and AI-enhanced experiences, APIs serve as the backbone that makes it all possible.

From microservices architectures to API-first development, the role of APIs continues to evolve, empowering mobile apps with real-time data exchange, cloud connectivity, AI-driven automation, and enhanced security. In this article, we explore why APIs are essential in 2025, the latest trends shaping their evolution, and how businesses can leverage APIs to build scalable and future-proof mobile applications.

Why APIs Are the Foundation of Modern Mobile Apps

APIs are the connective tissue between different software applications, allowing them to communicate and share data effortlessly. In mobile app development, APIs are crucial for:

Seamless Third-Party Integrations – Connecting with payment gateways, social media, AI services, and cloud platforms.

Scalability – Enabling apps to handle increasing traffic and data loads efficiently.

Omnichannel Experiences – Synchronizing data across mobile, web, and IoT devices.

Rapid Development & Deployment – Reducing time-to-market by leveraging pre-built functionalities.

Future-Proofing – Ensuring compatibility with new technologies like 5G, AI, blockchain, and edge computing.

With the continued shift towards cloud-native architectures, APIs have become the foundation of digital ecosystems, enabling businesses to deliver seamless and intelligent user experiences.

Key API Trends Shaping Mobile App Development in 2025

1. API-First Development Becomes the Standard

In 2025, API-first development is no longer an option but a necessity. This approach prioritizes designing APIs before building an app’s frontend, ensuring:

Faster development cycles by enabling frontend and backend teams to work in parallel.

Modular and reusable components, reducing redundant coding efforts.

Better cross-platform compatibility, ensuring apps work on multiple devices and operating systems.

By adopting API-first strategies, businesses can future-proof their apps while ensuring better scalability and adaptability to emerging technologies.

2. AI-Powered APIs Enhance Automation & Personalization

APIs integrated with Artificial Intelligence (AI) and Machine Learning (ML) are transforming how apps interact with users. In 2025, AI-driven APIs enable:

Hyper-personalization – AI models analyze user behavior to deliver tailored content and recommendations.

Intelligent chatbots & virtual assistants – Seamlessly integrating with NLP APIs for advanced conversational experiences.

Automated fraud detection – AI APIs enhance security by detecting suspicious activities in real-time.

Predictive analytics – APIs provide actionable insights to improve app performance and user engagement.

By leveraging AI-powered APIs, mobile apps can deliver smarter and more intuitive user experiences.

3. Low-Code & No-Code API Integrations Accelerate Development

The rise of low-code and no-code platforms has made API integration more accessible to developers and businesses. In 2025, companies can:

Integrate APIs without deep coding expertise, reducing development time.

Customize workflows by connecting apps with pre-built API connectors.

Enable citizen developers to build functional prototypes with minimal effort.

These advancements democratize mobile app development, allowing businesses to scale their digital solutions faster.

4. GraphQL Surpasses REST for Data-Driven Apps

While REST APIs remain widely used, GraphQL APIs have gained dominance in 2025 due to their:

More efficient data fetching – Clients can request only the data they need, reducing API call overhead.

Flexible queries – Developers have more control over the structure and response of API requests.

Better performance in mobile apps – Reducing network requests leads to faster load times and improved UX.

As mobile applications continue to demand real-time, complex data interactions, GraphQL is becoming the preferred choice for API-driven development.

5. API Security Takes Center Stage

With cyber threats evolving, API security has become a top priority in mobile app development. In 2025, businesses implement:

Zero-trust API security models – Every API request is verified, reducing vulnerabilities.

OAuth 2.0 and OpenID Connect – Secure authentication and authorization for API access.

End-to-end encryption & tokenization – Protecting sensitive data in transit and at rest.

API threat detection with AI – Monitoring unusual activity to prevent breaches in real-time.

Robust security practices ensure that API-powered mobile apps remain resilient against cyber threats.

6. Edge Computing Enhances API Performance

As 5G adoption accelerates, edge computing APIs are transforming how apps process and deliver data. By moving computation closer to users, edge-powered APIs:

Reduce latency, enabling real-time experiences for gaming, AR/VR, and IoT applications.

Improve app responsiveness, especially in regions with poor connectivity.

Optimize cloud costs, processing critical tasks at the edge before sending data to the cloud.

With edge computing becoming mainstream, APIs will play a vital role in delivering high-performance, low-latency mobile applications.

How Businesses Can Leverage APIs for Scalable & Future-Proof Apps

To stay competitive in 2025 and beyond, businesses must adopt API-driven strategies to ensure their mobile apps are scalable and adaptable. Here’s how:

1. Adopt API-First Development

Design APIs from the ground up, ensuring modular, reusable, and future-proof architectures that can evolve with new technologies.

2. Implement AI & Automation APIs

Integrate AI-powered APIs to enhance user engagement, security, and operational efficiency in mobile apps.

3. Choose Scalable API Protocols

Opt for GraphQL and WebSockets for dynamic, real-time interactions rather than traditional REST APIs.

4. Prioritize API Security

Use OAuth 2.0, API gateways, encryption, and AI-powered monitoring to protect API endpoints from cyber threats.

5. Optimize Performance with Edge Computing APIs

Leverage edge computing APIs to deliver ultra-fast, high-performance app experiences with minimal latency.

Conclusion: APIs Are the Future of Mobile Innovation

In 2025, APIs are the backbone of scalable, secure, and intelligent mobile applications. As businesses embrace AI, cloud computing, edge technology, and automation, APIs enable seamless integration and future-proofing against technological disruptions.

At Tyfora, we specialize in API-driven mobile app development, leveraging cutting-edge technologies to build high-performance, secure, and scalable digital solutions. Whether you need AI-powered integrations, real-time data synchronization, or next-gen API architecture, our team is ready to help.

Ready to future-proof your mobile app with powerful APIs? Contact Tyfora today and build the next generation of scalable digital experiences

[orangemantrausa]

Your Dashboard is Slower Than It Should Be – Here’s How to Fix It!

We've all been there. You log into your dashboard, expecting instant insights, but instead, you're greeted with a painfully slow loading screen. Your frustration grows, and by the time your data finally loads, you’ve lost valuable minutes—or worse, your patience.

A slow dashboard isn’t just an inconvenience; it’s a business killer. It frustrates users, delays critical decision-making, and can even impact revenue. But don’t worry! Whether you're a dashboard developer, business owner, or product manager, I’ve got you covered. Let’s break down why your dashboard is slow and, more importantly, how to fix it.

1. Understanding Why Your Dashboard is Slow

Before we dive into solutions, let's diagnose the common performance bottlenecks:

Heavy Queries & Database Overload

If your dashboard relies on a database to fetch real-time information, poorly optimized queries can cause significant slowdowns. Think about it like a crowded coffee shop: if every customer orders a highly customized drink (complex query), the barista (database) gets overwhelmed.

Inefficient Data Fetching

Fetching too much data at once or making too many API calls leads to sluggish performance. Imagine trying to carry 15 grocery bags in one trip—it’s just not efficient.

Front-End Rendering Issues

Even if your backend is lightning-fast, a poorly optimized front-end can slow everything down. Unnecessary re-renders, unoptimized JavaScript, or rendering massive amounts of data all contribute to sluggish performance.

Lack of Caching

If your dashboard fetches the same data repeatedly without caching, it’s like checking your fridge every five minutes to see if food magically appeared. Instead, cache frequently used data to improve speed.

Poor Data Structure

If your data isn’t indexed properly, finding what you need can be like searching for a needle in a haystack.

2. Diagnosing Dashboard Performance Issues

Before we start fixing things, let's find the root cause. Here are some tools and techniques to help:

Google Lighthouse & PageSpeed Insights

Use these tools to check your front-end performance. They pinpoint render-blocking scripts, slow-loading assets, and other issues.

Database Query Profilers

If your dashboard pulls data from a database, tools like MySQL EXPLAIN or PostgreSQL EXPLAIN ANALYZE can help identify slow queries.

Chrome DevTools & Network Analysis

Monitor API response times, find unnecessary requests, and optimize network traffic.

Server Logs & Load Testing

Check backend performance by analyzing server logs and running load tests to see how well your system handles heavy traffic.

3. Optimizing Backend Performance

Efficient Query Design & Data Management

Use Indexed Databases: Indexing speeds up searches significantly. Think of it as a well-organized library versus one with books scattered everywhere.

Optimize SQL Queries: Avoid using SELECT * when you only need specific fields.

Implement Pagination: Load data in chunks rather than all at once to improve responsiveness.

Normalize vs. Denormalize Data: Balance between reducing redundancy (normalization) and speeding up queries (denormalization).

Caching Strategies for Speed Boost

Redis or Memcached: Store frequently accessed data to reduce database queries.

Edge & Browser Caching: Cache static content so it doesn’t reload unnecessarily.

Pre-aggregated Data Storage: If your dashboard requires heavy calculations, consider storing pre-computed results.

4. Optimizing API Calls & Data Fetching

Reduce the Number of API Calls

Instead of making multiple small API requests, batch them to reduce network load.

Use WebSockets for Real-Time Data

Polling APIs every few seconds? Switch to WebSockets for faster real-time updates with less load on the server.

Optimize API Response Payloads

Only send the data you need. A bloated API response slows down everything.

Leverage GraphQL

Unlike REST APIs that return fixed responses, GraphQL lets you request only the fields you need, improving efficiency.

5. Front-End Optimization for Faster Dashboards

Minify & Bundle JavaScript and CSS

Large scripts can slow down dashboard loading times. Minify and bundle them to improve performance.

Lazy Loading & Async Loading

Only load content when needed. For example, don’t load a chart until the user scrolls to it.

Optimize Component Rendering

If you’re using React, Vue, or Angular, avoid unnecessary re-renders by using memorization and state management best practices.

Use Virtualization for Large Data Tables

Rendering thousands of rows at once is a bad idea. Instead, use virtualization techniques like React Virtualized to load only what the user sees.

Choose the Right Visualization Library

Not all charting libraries are created equal. Use lightweight options like Chart.js instead of more complex libraries if you don’t need advanced features.

6. Preventing Future Slowdowns

Regular Performance Audits & Load Testing

Schedule periodic performance reviews to catch slowdowns before users complain.

Monitor API Latency & Server Response Times

Use tools like New Relic, DataDog, or Prometheus to keep an eye on your backend.

Set Up Automated Alerts for Performance Drops

Be proactive—set up alerts for when response times exceed a certain threshold.

Keep Your Tech Stack Updated

Old versions of frameworks and libraries can be less efficient. Regularly update your stack for performance improvements.

Conclusion

Slow dashboards are frustrating, but the good news is they’re fixable. By diagnosing performance bottlenecks, optimizing your backend and front-end, and implementing long-term monitoring, you can create a dashboard development services that loads in seconds, not minutes.

Take action today—start with a performance audit and apply at least one of these improvements. Your users (and your business) will thank you!

[c-1-r]

Unknown Facts About Flutter App Development & Essential Technologies

Flutter has taken the app development world by unique way but there are many counter-known facts about its ecosystem that can enhance your projects. From Dart technologies to GraphQL, state management, and payment gateways, let’s enter into some unknown truth insights that can streamline your development process.

1. Flutter & Dart – The Speed Secret

Dart’s Just-in-Time (JIT) and Ahead-of-Time (AOT) compilation offer fast development and high-performance execution.

Unlike JavaScript, Dart reduces garbage collection pauses, ensuring a smoother user experience.

Flutter doesn’t use OEM widgets; instead, it renders UI directly using Skia, making animations feel seamless.

Unknown Fact:

Dart has a feature called Isolates, which allows parallel execution without threads. This helps prevent UI lag in complex apps.

2. GraphQL – A Smarter Alternative to REST

Unlike RESTful APIs, GraphQL enables precise data fetching, reducing network calls.

It eliminates over-fetching and under-fetching, leading to faster app performance.

GraphQL is strongly typed, reducing unexpected runtime errors.

Unknown Fact:

GraphQL allows real-time updates via subscriptions, making it perfect for chat apps, stock trading, and collaborative tools.

3. State Management – GetX vs. Provider

GetX is lightweight, reactive, and doesn’t require a Build Context.

Provider is recommended by Google and is ideal for large-scale applications.

GetX offers an in-built dependency injection system, simplifying API calls.

Unknown Fact:

GetX has a persistent storage feature, allowing data retention even after app restarts without using Shared Preferences or local databases.

4. RESTful APIs – The Silent Backbone

REST APIs enable seamless communication between Flutter apps and servers.

Proper API versioning ensures backward compatibility.

Caching REST API responses can significantly improve app performance.

Unknown Fact:

Many developers overlook the use of HTTP/2, which reduces latency and improves performance by handling multiple requests in a single connection.

5. UI/UX – More Than Just Good Looks

Micro-animations enhance user experience and engagement.

Dark Mode & Adaptive UI boost accessibility and battery life.

Material Design & Cupertino widgets allow cross-platform consistency.

Unknown Fact:

Google’s Flutter team suggests using Motion Guidelines to create natural-looking animations that mimic real-world physics.

6. Firebase – More Than Just Authentication

Firestore enables real-time sync and offline support.

Firebase ML can integrate AI features like image recognition.

Firebase App Distribution helps in easy beta testing.

Unknown Fact:

Firebase has a hidden feature called Firebase Extensions, which can automate background tasks like image resizing, translations, and scheduled messaging.

7. Payment Gateways – Secure & Seamless

Stripe & Razorpay provide easy integration with Flutter.

Apple Pay & Google Pay SDKs ensure a frictionless checkout experience.

PCI DSS compliance is essential to handle transactions securely.

Unknown Fact:

Using tokenization instead of storing credit card details can prevent fraud and reduce compliance requirements.

8. Third-Party APIs – Extending Functionality

Google Maps API for location services.

Twilio API for SMS & phone verification.

Algolia API for lightning-fast search capabilities.

Unknown Fact:

Some APIs provide rate-limited free tiers, which can be optimized using request batching and caching mechanisms.

9. Streamlining Backend Operations

CI/CD pipelines (GitHub Actions, Codemagic) speed up deployments.

GraphQL & REST hybrid APIs can optimize backend load.

Serverless functions reduce the need for dedicated backend infrastructure.

Unknown Fact:

Using Redis or Memcached can dramatically improve response times by caching frequent database queries.

One Last Looks:

Flutter development goes beyond just UI design. By leveraging Dart’s Isolates, GraphQL’s real-time capabilities, GetX’s persistence, and Firebase’s automation, developers can build high-performance applications with minimal effort and maximum efficiency. Integrating smart API strategies, payment gateways, and backend optimizations can take your app to the next level.

Are you ready to implement these lesser-known strategies in your next Flutter app?