17.7K
COAccess modifiers in java #java #programming
@codeverse007
#Access Modifiers In Programming
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23Reels en Tendencia
(12)
189.6K
COJava Access Modifiers in 40s! 🔐🚀
Meet the Java Access Modifiers! From the friendly Public gate to the strict Private vault, we’re visualizing how encapsulation actually works.
Public: Open to the world! 🔓
Private: Strictly for the class only. 🚫
Protected: Family (subclasses) first. 🛡️
Default: Package-level access. 📦
CTA: Master the hierarchy of security in under 40 seconds! 🚀
#java #javainterviewquestions #javatutorial #coding #softwaredeveloper
@code_objects
25.9K
OFAccess modifiers are keywords which define the accessibility of a class and its members.
Access modifiers are used in Java to control the visibility (accessibility) of classes, interfaces, variables, methods, constructors, data members, and setter methods.
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#coding #software #softwaredeveloper #job #faang #google #amazon #development #developer #career #singleinheritance #programming #leetcode #codingquestions #googleinterview #microsoftinterview #softwareengineer #amazonjobs #softwaredevelopment #problemsolving #javaconcepts #interview #dynamicprogramming #oops #java #accessmodifier #dsa #datastructures #algorithm #itsruntym
@offthecollege_otc
835.0K
CHHandling 1 Million RPS isn’t about code — it’s about smart architecture.
1️⃣ Traffic Distribution (Load Balancers)
➡️ Spreads incoming requests across many servers so nothing overloads.
Example: 1M requests split across 200 servers = ~5K requests per server.
⸻
2️⃣ Scale Out, Not Up (Horizontal Scaling)
➡️ Add more machines instead of making one server bigger.
Example: Flash sale traffic? Instantly launch 50 new API instances.
⸻
3️⃣ Fast Reads with Cache
➡️ Use Redis/Memcached to avoid hitting the database every time.
Example: Cached user data = millions of DB calls saved daily.
⸻
4️⃣ Edge Delivery with CDN
➡️ Static content loads from servers closest to the user.
Example: Users in Delhi fetch images from a Delhi CDN node.
⸻
5️⃣ Background Work with Queues
➡️ Heavy tasks run asynchronously so APIs respond instantly.
Example: Payment succeeds now, email receipt sent in background.
⸻
6️⃣ Split the Database (Sharding)
➡️ Divide data across multiple databases to handle scale.
Example: Usernames A–M on one shard, N–Z on another.
⸻
7️⃣ Rate Limiting
➡️ Prevent abuse and traffic spikes from taking the system down.
Example: Limit clients to 100 requests/sec to block bots from killing the API.
⸻
8️⃣ Lightweights Payloads
➡️ Smaller payloads = faster responses + less bandwidth.
Example: Send only required fields instead of massive JSON blobs.
Please follow for more such videos🙏
#systemdesign #softwaredevelopers #programming #tech #interview
[API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
@chhavi_maheshwari_
272.1K
LODo you know how to write a loop in a single line using list comprehension in python.
#list #pythoncode #codelikedeveloper #logic #programming
@logic_overflow
19.6K
MAThe hidden system behind authentication 😛
If u found this helpful, Follow for more CS related content! The goal learn and become a better developer by the day and share the journey. (also yayy seahawks won 🙏)
@madhubyte
156.7K
MIInterviewer: How would you protect your APIs from unauthorized access and overuse?
Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio
⸻
1️⃣ Authentication & Authorization –
Verify who’s calling and what they can do.
Example: Like checking ID before entry.
How: Use OAuth 2.0, JWT tokens for secure access.
⸻
2️⃣ Role-Based Access Control (RBAC) –
Give users permissions based on their roles.
Example: Like an admin having extra keys.
How: Use Keycloak or Auth0 RBAC to manage user roles.
⸻
3️⃣ Rate Limiting & Throttling –
Limit how many requests a user can send per minute. Example: Like letting only 100 cars per minute through a toll gate.
How: Configure Nginx, Kong, or API Gateway.
⸻
4️⃣ API Gateway & WAF –
Filter and block suspicious or harmful traffic.
Example: Like guards checking bags at entry.
How: Use AWS WAF, Kong, or Cloudflare to block attacks.
⸻
5️⃣ Encryption (HTTPS / TLS) –
Protect data in transit so attackers can’t modify it. Example: Always serve APIs over HTTPS, not on HTTP.
How: Enable TLS via Nginx, Let’s Encrypt, or Cloudflare SSL.
⸻
6️⃣ Monitoring & Alerts –
Track traffic and detect suspicious activity.
Example: Like CCTV spotting intruders early.
How: Use Datadog, Prometheus, or CloudWatch for alerts.
⸻
💡 Interview Tip:
Explain security in 3 layers — Authentication (who), Authorization (what), and Rate Limiting (how often).
Then mention API Gateway + Monitoring for bonus points.
End with Encryption and Key Rotation to show depth. 🔥
#APISecurity #BackendEngineering #OAuth2 #JWT #RateLimiting #SecureAPI #BackendDeveloper #Microservices #APIGateway #CloudComputing #SoftwareEngineering #CyberSecurity #TechEducation #ScalableSystems
{ APISecurity, SpringBoot, JavaDeveloper, TechArchitect, Scalability, JavaTips, SystemDesign, MicroservicesArchitecture, SpringSecurity, JavaMicroservices, SecureAPI, BackendEngineering, RateLimiting, OAuth2, EngineeringSimplified, JWTToken, APIProtection, JavaCoding, TechReels, DevContent, TechExplained, , CloudSecurity, ScalableSystems, , Developer Tips, CyberSecurityBasics}
@mission_compile
1.9K
EXIn this tutorial, you will learn how to use Input Mask in MS Access to control data entry in fields like phone numbers, dates, and more. Input Masks help ensure that users enter data in the correct format, reducing errors and improving data consistency.
Topics covered in this video:
What is an Input Mask?
How to create an Input Mask in MS Access
Customizing Input Masks for specific data types
Practical examples of Input Masks in real-world scenarios
If you want to make data entry more efficient and accurate in your MS Access database, this video is for you!
@excel_master_habib
234.0K
RBThe only 4 patterns of ARRAY which will cover 90% of your questions from Array… 💯
And these are :
1- Two Pointers
2- Sliding Window
3- Prefix Sum
4- Kadane’s Algorithm
And all these patterns I have explained in detail on my YouTube channel 🙌 for you all
You just need to comment “youtube “ or “link” and I will share that video link in your DMS
And then you don’t need to blindly solved unlimited number of questions 🤫
All the best
Keep learning and stay happy😇
#jobs #coding #software #interview #dsa
@rbanjali.codes
1.5K
DUProtected vs. default: what's the difference? Understanding the subtle nuances of access modifiers. "Anywhere but outside package..." #java #programming #coding #softwaredevelopment #tech #tutorial #accessmodifiers
@durgajobsinfo
2.8K
GRWhat is MS Access? | MS Access Tutorial in Hindi
Hey Viewers, Welcome to Grow With Skills..
If you like my reels and want to learn with full videos then please check out my youtube channel. https://www.youtube.com/c/GrowWithSkills also link is available on Bio.
#access #microsoftaccess #education #onlineeducation #msaccess
@growwithskillz
2.2M
MI1 Million RPS isn't about code, it's about architecture.
Here are the 8 key layers to scale your API architecture.
Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio
1️⃣ Load Balancer
👉 Distributes traffic across multiple servers so no single machine melts.
Example: 1M req/s split across 200 servers = only 5k req/s each.
⸻
2️⃣ Horizontal Scaling
👉 Add more servers when traffic spikes instead of upgrading one big server.
Example: Black Friday? Spin up 50 more API nodes in seconds.
⸻
3️⃣ Caching Layer
👉 Serve frequent reads from Redis/Memcached to avoid DB overload.
Example: User profile cached → avoids 10M database hits/day.
⸻
4️⃣ CDN for Static Content
👉 Images and static assets load from edge servers near the user.
Example: A user in Delhi gets images from a Delhi CDN node.
⸻
5️⃣ Async Processing (Queues)
👉 Push heavy tasks to Kafka/SQS so API responds instantly.
Example: Payment API returns fast → receipt email sent in background.
⸻
6️⃣ Database Sharding
👉 Split huge datasets across multiple DB shards to scale reads/writes.
Example: Users A–M on shard 1, N–Z on shard 2.
⸻
7️⃣ Rate Limiting
👉 Block or throttle abusive clients to protect server capacity.
Example: “100 requests/sec limit” prevents bots from killing the API.
⸻
8️⃣ Lightweight Payloads
👉 Reduce JSON response size to cut latency and bandwidth.
Example: Return only “id, name, price” instead of 20 unnecessary fields.
#systemdesign #apidesign #scaling #1millionrps #distributedsystems #loadbalancing #caching #microservices #softwaredeveloper #programming #coding #devops #tech #backenddeveloper #backenddevelopment #api #interviews #database #learninganddevelopment #tech
[API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
@mission_compile
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