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Datadog Products Available on AWS Australia and New Zealand

Datadog launched its full range of products and services on the Amazon Web Services’ (AWS) Asia-Pacific (Sydney) Region.

The launch adds to existing locations in North America, Asia, and Europe, strengthening Datadog’s comprehensive observability platform that enables customers to monitor their entire technology stack across their deployment environments.

The new local availability zone enables Datadog, its customers and partners to store and process data locally, enabling faster observability and in-region capacity to meet applicable Australian privacy, security and data storage requirements. This is crucial for an increasing number of organizations, and particularly those operating in regulated environments such as government, banking, healthcare and higher education.

“This milestone reinforces Datadog’s commitment to supporting the region’s advanced digital capabilities—especially the Australian Government’s ambition to make the country a leading digital economy,” said Yanbing Li, Chief Product Officer at Datadog. “With strong momentum across public and private sectors, our investment enhances trust in Datadog’s unified and cloud-agnostic observability and security platform, and positions us to meet the evolving needs of agencies and enterprises alike.”

“Australian organizations are on track to spend nearly A$26.6 billion on public cloud services alone in 2025. For organizations in highly regulated industries, it isn’t just the cloud provider that needs to have local data storage capacity – it should be all layers of the tech stack,” said Rob Thorne, Vice President for Asia-Pacific and Japan (APJ) at Datadog.

“This milestone reflects Datadog’s priority to support these investments. It’s the latest step in our expansion down under, and follows the continued addition of headcount to support our more than 1,100 A/NZ customers, as well as the recent appointments of Field CTO for APJ, Yadi Narayana, and Vice President of Commercial Sales for APJ, Adrian Towsey, to our leadership team,” said Thorne.

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Datadog Products Available on AWS Australia and New Zealand

Datadog launched its full range of products and services on the Amazon Web Services’ (AWS) Asia-Pacific (Sydney) Region.

The launch adds to existing locations in North America, Asia, and Europe, strengthening Datadog’s comprehensive observability platform that enables customers to monitor their entire technology stack across their deployment environments.

The new local availability zone enables Datadog, its customers and partners to store and process data locally, enabling faster observability and in-region capacity to meet applicable Australian privacy, security and data storage requirements. This is crucial for an increasing number of organizations, and particularly those operating in regulated environments such as government, banking, healthcare and higher education.

“This milestone reinforces Datadog’s commitment to supporting the region’s advanced digital capabilities—especially the Australian Government’s ambition to make the country a leading digital economy,” said Yanbing Li, Chief Product Officer at Datadog. “With strong momentum across public and private sectors, our investment enhances trust in Datadog’s unified and cloud-agnostic observability and security platform, and positions us to meet the evolving needs of agencies and enterprises alike.”

“Australian organizations are on track to spend nearly A$26.6 billion on public cloud services alone in 2025. For organizations in highly regulated industries, it isn’t just the cloud provider that needs to have local data storage capacity – it should be all layers of the tech stack,” said Rob Thorne, Vice President for Asia-Pacific and Japan (APJ) at Datadog.

“This milestone reflects Datadog’s priority to support these investments. It’s the latest step in our expansion down under, and follows the continued addition of headcount to support our more than 1,100 A/NZ customers, as well as the recent appointments of Field CTO for APJ, Yadi Narayana, and Vice President of Commercial Sales for APJ, Adrian Towsey, to our leadership team,” said Thorne.

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One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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