The End of Cloud Vendor Lock-In &  Future of Multi-cloud! | Fluidcloud | Ctrl Alt Podcast

Ctrl Alt Podcast With Vida Patil

Transcript

0:00

You're an oversubscribed company. Investors are after you. What are you building which the large behemoths cannot replicate?

0:08

Every cloud provider has their own set of services. What we have done, we are able to build a map between these services. So it becomes like magic for anybody.

0:17

What's your take on AI?

0:19

We are not against AI. It's just AI is a tool which understands and increases your productivity on your existing workflows. AI cannot create a new workflow for the user.

0:28

Give us a sense of what this teleportation looks like without fluid cloud and with fluid cloud. What is the time taken?

0:37

Generally the answer would come 3 to 4 months. We can take that whole session and actually complete it in less than an hour.

0:43

What is your one platform engineering advice that you would give to the current and the next gen platform engineers? What are some of the things people should focus on in skill development in the next 5 years?

1:15

Hello and welcome to another fantastic episode of Control Alt podcast.

1:22

We are here today with the pioneers of the multicloud ecosystem.

1:31

We unpack the story of the true multicloud ecosystem and what it's capable of, catalyzed by a company called Fluid Cloud.

1:42

Their aim is to make it easy for people to migrate from one cloud to another.

1:49

Migration of data and infrastructure is the biggest challenge technology companies face today.

1:58

Introducing the founders of Fluid Cloud, Shhat Kumar and Harshit Omar.

2:09

Welcome to Control Alt Podcast.

2:14

Tell us about the Fluid Cloud logo and its connection to the multicloud vision.

2:27

Fluid Cloud is inspired by space concepts like the Penrose diagram, representing time and space.

2:42

It allows representing any point in time and place in a 2D axis.

2:46

So you're building a time machine for enterprise infrastructure?

2:51

Yes, representing universes and teleportation via wormholes.

3:06

Replicating one universe to another becomes cloud cloning.

3:14

Example: moving from Azure to GCP or AWS to Azure.

3:20

The goal is instant teleportation between cloud providers.

3:29

Teleportation is the core theme behind Fluid Cloud branding and product.

3:49

Teleportation means instantly moving enterprise applications across clouds.

3:55

Most applications are locked into one cloud and require duplication effort to move.

4:04

Fluid Cloud scans infrastructure and creates identical copies in another cloud.

4:21

This enables true multicloud by duplicating applications across providers.

4:43

Founders built expertise from previous cloud security company Acurix.

4:58

They developed deep understanding of AWS, Azure, and GCP infrastructure and policies.

5:21

Fluid Cloud scales this expertise across 10 cloud providers.

5:42

They also support migrations involving Nutanix and VMware.

6:07

Traditional migration tools focus only on VMs and ignore networking, security, and dependencies.

6:32

Manual setup of infrastructure leads to failures during migration.

7:03

Fluid Cloud performs end-to-end infrastructure discovery including compute, networking, and security.

7:41

Founders share personal story of partnership and support from their families.

8:30

They emphasize importance of family support in building startups.

10:01

Fluid Cloud differentiates by mapping services across cloud providers using patented technology.

11:01

They filed 13 patents enabling seamless infrastructure conversion across clouds.

12:16

Their AI strategy focuses on augmenting workflows rather than replacing them.

13:06

They are building a Large Infrastructure Model to understand and manage cloud systems.

14:10

This model enables insights, cost optimization, and migration planning.

15:06

It reduces migration risks and helps choose optimal cloud strategies.

17:54

Cloud cloning is explained as scan, convert, and deploy.

18:06

The system scans infrastructure, converts it, and deploys it across cloud providers.

19:02

Scanning takes seconds, conversion takes milliseconds, deployment depends on provider APIs.

21:20

The idea came from challenges faced during acquisitions and integrations.

23:46

Cloud market exceeds $700 billion driven by migration and AI demand.

24:20

VMware pricing changes triggered mass migration to cloud providers.

26:34

Consulting firms dominate migration but are expensive and slow.

27:12

Fluid Cloud reduces costs to 10-15% compared to traditional consulting.

29:46

Existing tools only migrate VMs, ignoring full infrastructure dependencies.

30:54

Traditional migration takes 3-4 months; Fluid Cloud reduces it to under an hour.

32:03

Their patented scanning and mapping technologies enable massive speed improvements.

34:46

Customers can optimize costs by moving workloads across regions or providers.

36:27

Fluid Cloud supports social initiatives including education and animal welfare.

38:08

Advice: learn core tools like Kubernetes, Terraform, and explore automation tools.

39:33

Startup success factors: problem relevance, quality focus, and fearless execution.

41:21

Future skills: logical thinking, adaptability, and continuous learning alongside AI.

43:43

Future plans include faster migrations, deeper integrations, and AI-driven automation workflows.

Transcript

0:00

You're an oversubscribed company. Investors are after you. What are you building which the large behemoths cannot replicate?

0:08

Every cloud provider has their own set of services. What we have done, we are able to build a map between these services. So it becomes like magic for anybody.

0:17

What's your take on AI?

0:19

We are not against AI. It's just AI is a tool which understands and increases your productivity on your existing workflows. AI cannot create a new workflow for the user.

0:28

Give us a sense of what this teleportation looks like without fluid cloud and with fluid cloud. What is the time taken?

0:37

Generally the answer would come 3 to 4 months. We can take that whole session and actually complete it in less than an hour.

0:43

What is your one platform engineering advice that you would give to the current and the next gen platform engineers? What are some of the things people should focus on in skill development in the next 5 years?

1:15

Hello and welcome to another fantastic episode of Control Alt podcast.

1:22

We are here today with the pioneers of the multicloud ecosystem.

1:31

We unpack the story of the true multicloud ecosystem and what it's capable of, catalyzed by a company called Fluid Cloud.

1:42

Their aim is to make it easy for people to migrate from one cloud to another.

1:49

Migration of data and infrastructure is the biggest challenge technology companies face today.

1:58

Introducing the founders of Fluid Cloud, Shhat Kumar and Harshit Omar.

2:09

Welcome to Control Alt Podcast.

2:14

Tell us about the Fluid Cloud logo and its connection to the multicloud vision.

2:27

Fluid Cloud is inspired by space concepts like the Penrose diagram, representing time and space.

2:42

It allows representing any point in time and place in a 2D axis.

2:46

So you're building a time machine for enterprise infrastructure?

2:51

Yes, representing universes and teleportation via wormholes.

3:06

Replicating one universe to another becomes cloud cloning.

3:14

Example: moving from Azure to GCP or AWS to Azure.

3:20

The goal is instant teleportation between cloud providers.

3:29

Teleportation is the core theme behind Fluid Cloud branding and product.

3:49

Teleportation means instantly moving enterprise applications across clouds.

3:55

Most applications are locked into one cloud and require duplication effort to move.

4:04

Fluid Cloud scans infrastructure and creates identical copies in another cloud.

4:21

This enables true multicloud by duplicating applications across providers.

4:43

Founders built expertise from previous cloud security company Acurix.

4:58

They developed deep understanding of AWS, Azure, and GCP infrastructure and policies.

5:21

Fluid Cloud scales this expertise across 10 cloud providers.

5:42

They also support migrations involving Nutanix and VMware.

6:07

Traditional migration tools focus only on VMs and ignore networking, security, and dependencies.

6:32

Manual setup of infrastructure leads to failures during migration.

7:03

Fluid Cloud performs end-to-end infrastructure discovery including compute, networking, and security.

7:41

Founders share personal story of partnership and support from their families.

8:30

They emphasize importance of family support in building startups.

10:01

Fluid Cloud differentiates by mapping services across cloud providers using patented technology.

11:01

They filed 13 patents enabling seamless infrastructure conversion across clouds.

12:16

Their AI strategy focuses on augmenting workflows rather than replacing them.

13:06

They are building a Large Infrastructure Model to understand and manage cloud systems.

14:10

This model enables insights, cost optimization, and migration planning.

15:06

It reduces migration risks and helps choose optimal cloud strategies.

17:54

Cloud cloning is explained as scan, convert, and deploy.

18:06

The system scans infrastructure, converts it, and deploys it across cloud providers.

19:02

Scanning takes seconds, conversion takes milliseconds, deployment depends on provider APIs.

21:20

The idea came from challenges faced during acquisitions and integrations.

23:46

Cloud market exceeds $700 billion driven by migration and AI demand.

24:20

VMware pricing changes triggered mass migration to cloud providers.

26:34

Consulting firms dominate migration but are expensive and slow.

27:12

Fluid Cloud reduces costs to 10-15% compared to traditional consulting.

29:46

Existing tools only migrate VMs, ignoring full infrastructure dependencies.

30:54

Traditional migration takes 3-4 months; Fluid Cloud reduces it to under an hour.

32:03

Their patented scanning and mapping technologies enable massive speed improvements.

34:46

Customers can optimize costs by moving workloads across regions or providers.

36:27

Fluid Cloud supports social initiatives including education and animal welfare.

38:08

Advice: learn core tools like Kubernetes, Terraform, and explore automation tools.

39:33

Startup success factors: problem relevance, quality focus, and fearless execution.

41:21

Future skills: logical thinking, adaptability, and continuous learning alongside AI.

43:43

Future plans include faster migrations, deeper integrations, and AI-driven automation workflows.