Months of mental harassment, waste of time, and huge financial losses due to their absolute lack of accountability. Demand immediate resolution and compensation. @RBI@jagograhakjago@CIBIL@CIBIL_Official#KotakBank
Dear @RBI
Gross regulatory non-compliance by @KotakBankLtd@KotakCares . They wrongly reported my Home Loan as an Auto Loan in CIBIL.
To clear an RBI Ombudsman complaint (ID: N202627021008029), Kotak Bank gave a false written undertaking to fix it in 15 days.
20+ days later, they have completely breached that commitment.
Their blunder has dropped my credit score by 6 points, trapped me at a 9.5-10% interest rate, and blocked me from transferring my ₹38.5L loan to another bank at 7.5-8%.
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@venkateshprasad Is that a valid comparison between a cricket tournament and the lives of people .
Where in IPL teams want to win a trophy where players are paid to play for a month or two.
And the people need resources to survive.
तुम्हारी समस्या 'मुसलमान' है या मोदी सरकार?
Is your problem '𝐌𝐮𝐬𝐥𝐢𝐦𝐬' or '𝐌𝐨𝐝𝐢 𝐆𝐨𝐯𝐭'?
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The SOLID principle is one of the most important design principles in programming.
Sadly, most programmers find it super difficult to understand.
Here's the simplest guide to understanding SOLID principles:
We’re one week away. Here are 5 lists to make heading into Ramadan inshaAllah.
1) A To-Not-Do List
2) A To-Do List
3) A To-Fix List
4) A Quantity List
5) A Quality List
#ramadan2024
IBM MQ -> RabbitMQ -> Kafka ->Pulsar, How do message queue architectures evolve?
🔹 IBM MQ
IBM MQ was launched in 1993. It was originally called MQSeries and was renamed WebSphere MQ in 2002. It was renamed to IBM MQ in 2014. IBM MQ is a very successful product widely used in the financial sector. Its revenue still reached 1 billion dollars in 2020.
🔹 RabbitMQ
RabbitMQ architecture differs from IBM MQ and is more similar to Kafka concepts. The producer publishes a message to an exchange with a specified exchange type. It can be direct, topic, or fanout. The exchange then routes the message into the queues based on different message attributes and the exchange type. The consumers pick up the message accordingly.
🔹 Kafka
In early 2011, LinkedIn open sourced Kafka, which is a distributed event streaming platform. It was named after Franz Kafka. As the name suggested, Kafka is optimized for writing. It offers a high-throughput, low-latency platform for handling real-time data feeds. It provides a unified event log to enable event streaming and is widely used in internet companies.
Kafka defines producer, broker, topic, partition, and consumer. Its simplicity and fault tolerance allow it to replace previous products like AMQP-based message queues.
🔹 Pulsar
Pulsar, developed originally by Yahoo, is an all-in-one messaging and streaming platform. Compared with Kafka, Pulsar incorporates many useful features from other products and supports a wide range of capabilities. Also, Pulsar architecture is more cloud-native, providing better support for cluster scaling and partition migration, etc.
There are two layers in Pulsar architecture: the serving layer and the persistent layer. Pulsar natively supports tiered storage, where we can leverage cheaper object storage like AWS S3 to persist messages for a longer term.
Over to you: which message queues have you used?
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I’m obsessed with learning how to learn.
So, I spent 100+ hours studying how Elon Musk, Sam Altman, and Naval Ravikant absorb information.
Here’s what I found on becoming a learning machine: