Some social media accounts falsely claim that 20,000 Bangladeshi militants have joined the Arakan Army, recruited through a U.S.-backed network and supplied with weapons and training. They allege funding comes from Jamaat-linked NGOs and foreign-owned garment companies in Bangladesh. Dr. Muhammad Yunus is wrongly implicated, accused of aiding this network and facilitating extremist agendas, including arms assistance via so-called humanitarian corridors. The alleged goal is to destabilize Myanmar, fuel attacks in Indiaโs northeast, and make Bangladesh a terrorism hub in South Asia.
See:
https://t.co/Bjlx17DWbs
https://t.co/BaCt8mN79O
https://t.co/boLHPaN0dp
https://t.co/ILjqYBvRi3)
However, these claims are entirely false and politically motivated to spread fear and confusion. There are no credible reports, evidence, or official statements supporting the existence of such a large militant recruitment or Dr. Yunusโs involvement. The propaganda relies exclusively on anonymous, unverified sources. Contrary to the rumors, Bangladesh does not operate any humanitarian corridors with Myanmar, making allegations of arms assistance baseless. The coordinated repetition of these narratives across multiple social media accounts indicates a deliberate campaign to discredit Bangladesh, reflecting a broader anti-Bangladesh agenda aligned with the fascist Awami Leagueโs political interests.
Async/await or Promisesโwhich do you use most?
Async/await = cleaner code & easier error handling
Promises = great for parallel tasks & chaining
Whatโs your real-world use case or best practice? Drop your thoughts & tips! ๐
#JavaScript#AsyncAwait#Promises#WebDev
๐ฅ Top JS frameworks in 2025: Whatโs hot & whatโs not!
Hot: React (server components), Svelte, SolidJS, Qwik
Not: Slow, monolithic frameworks
Are you team classic or trying the new kids on the block? Whatโs your pick for 2025?
Reply & letโs discuss! ๐
#JavaScript#WebDev
JavaScriptโs journey: ES5 โก๏ธ ES2025!
From arrow functions & async/await to optional chaining & new ES2025 features, JS keeps getting better for devs and users alike.
Whatโs your favorite update?
#JavaScript#ES2025#WebDev
Migrated a JS codebase to #TypeScriptโhereโs what I learned:
๐น Migrate incrementally
๐น Use any sparingly
๐น Invest in type definitions
๐น Update your tooling
๐น Collaborate & document
The payoff: cleaner, safer, and more maintainable code!
#JavaScript#DevLife#LessonsLearned
TypeScript = better code quality & maintainability!
๐ Catch errors early
๐งฉ Clearer, more readable code
๐ Safer refactoring
๐ Scales with your team
Why not give it a try?
#TypeScript#CodeQuality#DevTips
10 Best System Software Concepts
โก๏ธLoad balancers
โก๏ธAPIs
โก๏ธCaches
โก๏ธDatabases
โก๏ธNetwork Protocols
โก๏ธMessage queues
โก๏ธCDNs
โก๏ธHigh-level details about ML and Big data
โก๏ธCAP Theorem
โก๏ธMonitoring and analytics
read - https://t.co/GudhicBm57
How can Cache Systems go wrong?
The diagram below shows 4 typical cases where caches can go wrong and their solutions.
1. Thunder herd problem
This happens when a large number of keys in the cache expire at the same time. Then the query requests directly hit the database, which overloads the database.
There are two ways to mitigate this issue: one is to avoid setting the same expiry time for the keys, adding a random number in the configuration; the other is to allow only the core business data to hit the database and prevent non-core data to access the database until the cache is back up.
2. Cache penetration
This happens when the key doesnโt exist in the cache or the database. The application cannot retrieve relevant data from the database to update the cache. This problem creates a lot of pressure on both the cache and the database.
To solve this, there are two suggestions. One is to cache a null value for non-existent keys, avoiding hitting the database. The other is to use a bloom filter to check the key existence first, and if the key doesnโt exist, we can avoid hitting the database.
3. Cache breakdown
This is similar to the thunder herd problem. It happens when a hot key expires. A large number of requests hit the database.
Since the hot keys take up 80% of the queries, we do not set an expiration time for them.
4. Cache crash
This happens when the cache is down and all the requests go to the database.
There are two ways to solve this problem. One is to set up a circuit breaker, and when the cache is down, the application services cannot visit the cache or the database. The other is to set up a cluster for the cache to improve cache availability.
Over to you: Have you met any of these issues in production?
โ
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Happy Learning ๐
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