Amazon Web Services

Yeah, so Tiger Cloud has a couple of different features around it.

One is just the overall managed service, the ability to take the pain off the team to run a managed service, much like you would have with RDS on AWS, which I used pretty extensively before coming to Tiger Data for our geospatial product.

But within that as well, there's a couple of other features beyond that.

So the ability to have read replicas, HA replicas, all self-managed by their team, having a connection load balancer that sits on the outside.

One of the other features I think that's worth calling out that makes a big difference for users that want to retain a long history of data without keeping all of that data hot is tiered data.

And what it does behind the scenes is it takes a table, and let's say you have 10 years of history, and you want the first two years to be in hot queryable, and then you want the other eight years to be tiered.

And now, that tiers that off to S3 in the AWS case, and then it, it stores that in Iceberg format behind the scenes.

But the entire time range is still queryable as one table.

So because of AI, you do have a higher propensity for cyber attacks, fraud and social engineering has become cheaper and also potentially much more scalable.

So there's also concentration risk because many financial institutions and banks, they depend on these same cloud and AI providers like AWS, for example.

These are the two key risks created by AI.

But of course, the advantage that Singapore has is that we are a major manufacturer in the semiconductor chain and the downstream segment.

So you have your traditional financial risk, like leverage, liquidity and credit risk, they still matter.

But I think what the AI has actually embedded more deeply now is the risk around cyber attacks and fraud, which I previously mentioned.

So I think what the regulators will have to think about will be, if the major technology provider, let's say AWS goes down, Or if an AI enabled cyber attack maybe hit several institutions at once, what would be the impact and how to actually address this? So I think this is where we might have to tweak the framework a bit to include these exogenous shocks.

Gives me an idea for a future topic.

So yeah, we've talked about WWE counter-programming AW before we've that's kind of been like a thing, right.

Since AWS inception, whether it was NXT.

whether it's some saturday night main event show whether it's anything at this point um and at the time the debate was whether it was fair competition or wwe deliberately trying to make life harder for tony khan and aw but now i think the questions change because if wwe can put another wrestling event in the same market stack it attach major names to it and aw still sells out so then what's What are we actually accomplishing? Is AEW's audience loyal enough that WWE can't really disrupt it anymore? Or are we making too much out of one market and one event? So the question tonight is, does WWE counter-programming even work anymore? So the first question, we'll go around.

I want everybody to have yes or no.

The reported move comes as global companies are really reassessing how they distribute operations across the region following the Iran war.

Amazon already launched an AWS Local Zone in Istanbul in May, while Google announced a new cloud region with Turkcell under a 10-year, $2 billion investment plan.

The report says both companies are now looking beyond technology infrastructure and at Istanbul as a base for wider regional operations.

But there are two things driving this.

It also described new possibilities for AI and real-time data processing with Python and Cloudflare workers.

In the comments, the community showed mostly excitement discussing Python workers' performance and cold start times, which still face some challenges compared to other platforms like AWS.

Users debated issues around startup latency and the architecture tied to WebAssembly and JavaScript environments.

There was appreciation for the progress made and suggestions for further improvements, such as support for other languages like Go and Mojo.

Which is brilliant because it frees up the human teams to do the strategic work.

But to understand where all of this ecosystem infrastructure is actually heading, we have to follow the money, especially when it comes to hyperscalers like AWS and Microsoft.

Right.

Let's talk economics, because the accounting is shifting completely.

Yeah, the numbers are wild.

They really are.

Okta's AWS Marketplace contract value grew over 45%, while the wider company revenue grew 12%.

So it's growing almost 3.8 times faster than standard sales.

The AWS for Software Companies podcast, episode 225, From COBOL to Agile Workflows.

Accelerate mainframe modernization with AWS Transform and Pega Blueprint.

Hi, everyone, and welcome back to the AWS for Software Companies podcast, featuring conversations with global software leaders on cloud strategies, best practices for AI security data and more, and the role that Amazon Web Services play in their success.

Today, experts from Pegasystems and AWS reveal how AI-powered tools now modernize decades-old mainframe systems in weeks instead of years, unlocking trapped data faster than ever.

Hi, everyone.

Today, as a part of this session, we'll walk you through how you could accelerate a mainframe modernization by leveraging one of the AWS services called AWS Transform, along with one of our partner products, Pega Blueprint.

We'll walk you through how you could accelerate your mainframe workloads by using these joint solutions.

Myself Ujjal Bukka, I am a senior partner solution architect from AWS.

You know, they invested $5 billion into Intel.

NVIDIA is, you know, setting partnerships with AWS and with Cisco Splunk.

They're all working together to further this anthropic, open AI, Google ecosystem.

And note that NVIDIA just bought or is intending to buy Hugging Face, which is like the GitHub for AI, right? So I think it's $13 billion or something like that.

Siegel, Levasseur, and other experts who spoke with KYCIR say to make these contracts more enforceable, companies should be required to explain not only why they need each piece of student data, but also who they are sharing it with.

Our review of JCPS's agreements found only two vendors shared their sub-processors that receive student data, like Amazon Web Services.

JCPS did not grant an interview, but a spokesperson said the district standard contract requires subprocessors to have privacy restrictions at least as rigorous as those imposed on the primary vendor.

JCPS contracts also have restrictions on so-called de-identified data.