Shahalam 👨🏻‍💻 @_shahalam_dev

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 India’s northeast, and make Bangladesh a terrorism hub in South Asia. See: x.com/Sparrow_Revolt… x.com/BDInsight24/st… x.com/zaha_zahid/sta… x.com/bengalvoice71/…) 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. Yunus’s 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 League’s political interests.

The Bengal Voice @bengalvoice71

a year ago

Allegations of 20,000 Bangladeshi Militants Joining the Arakan Army Raise Alarming National Security Concerns. Dhaka, 31 May, 2025: Following the seizure of 51,000 military uniforms from a undercover garment facility in Chattogram, Bangladesh's intelligence agencies have

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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 doesn’t 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 doesn’t 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? – Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): bit.ly/3KCnWXq

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