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RedisPods - How Freshworks Scaled from 30 to 500 Million Requests Per Day

How Freshworks Scaled from 30 to 500 Million Requests Per Day

12/08/20 • 30 min

RedisPods

[1:30] Vijay can you tell us about Freshworks?

[3:00] What have you done with Redis?

[4:00] How do you choose technology/databases?

[8:45] How do you deploy?

[12:45] Tell us more about your “main Redis” use case

[14:50] Do you have an idea of operations per second?

[17:45] Did you do the migration live?

[18:05] How does Freshworks leverage the Bloom filter?

[17:00] What made you migrate from Elastic Cache?

[20:50] Any other use case you want to highlight?

[23:25] Why Freshworks uses the Lua script

[24:50] What to come next?

[26:10] What are you the proudest of in your project?

[27:30] How do you keep your developers engage?

Relevant Links:

Freshworks.com

Freshworks Use Case

Basic Rate Limiting Best Practices

RedisBloom

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[1:30] Vijay can you tell us about Freshworks?

[3:00] What have you done with Redis?

[4:00] How do you choose technology/databases?

[8:45] How do you deploy?

[12:45] Tell us more about your “main Redis” use case

[14:50] Do you have an idea of operations per second?

[17:45] Did you do the migration live?

[18:05] How does Freshworks leverage the Bloom filter?

[17:00] What made you migrate from Elastic Cache?

[20:50] Any other use case you want to highlight?

[23:25] Why Freshworks uses the Lua script

[24:50] What to come next?

[26:10] What are you the proudest of in your project?

[27:30] How do you keep your developers engage?

Relevant Links:

Freshworks.com

Freshworks Use Case

Basic Rate Limiting Best Practices

RedisBloom

Previous Episode

undefined - Redis Open Source Team | AllThingsRedis

Redis Open Source Team | AllThingsRedis

[1:45] Yossi - Can you tell us about the thinking behind the Redis governance model and Core Team?

  • How were members chosen and what are their roles and responsibilities?

[5:05] Yossi - What is the mission and vision ahead for Redis?

[9:00] Oran - Today Redis holds 430+ contributors and 240+ releases over GITHUB. How do you manage to get it together and work towards the team's vision and roadmap?

  • How does each of you manage the contribution as a team?
  • How often does the team meet?
  • Are there processes to the team's workflow?
  • Contributors may come and go as they please. Looking at such a large Redis community, how do you ensure that the new contributors know how to engage successfully?

[14:35] Itamar - Can you tell us something about the Redis Community? What makes it unique?

[19:00] Yossi - Tell us about the biggest challenge for Redis today in terms of both as a technology as well as community? How do you plan to overcome it?

[27:05] Itamar - What would be your advice to developers who really want to contribute back to Redis Open Source––where is the most need?

[33:15] Yossi - What are you and the rest of the team working on and what is to come in the next release?

[38:00] Yossi - you have been the lead for the Redis Raft project. Can you brief us about this project?

  • Project description?
  • Where is it heading?

Relevant Links:

Redis.io

Redis GitHub

Redis DB Google Group

Next Episode

undefined - How Razorpay Migrated from Monolith to Microservices

How Razorpay Migrated from Monolith to Microservices

[1:15] Rajeev, can you tell us something about Razorpay as a company and what kind of business it is involved in?

[2:15] Rajeev, Can you tell us more about the overall architecture and technologies you use?

[3:30] Hemanth, what kind of challenges did you face with your existing tech stack?

[5:10] Hemanth, what compelled you to switch to Redis and include it in your tech stack?

[6:25] Hemanth, Can you brief about Redis Bloom Filter to our listeners who are pretty new to this?

[9:20] ] Hemanth, What other Redis Use case are you using?

[9:50] Hemanth, Can you drive deeper into the Rate Limiting side of things?

[11:15] Rajeev, what are you the proudest of?

[14:00]: Rajeev, What do you like the most about Redis as a company as well as technology?

[15:35]: Rajeev, what do you want to do next with Redis?

Relevant Links:

Rate limiting

Bloom filters

RedisBloom

Redis Mutex locks

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