Operations | Monitoring | ITSM | DevOps | Cloud

In digital commerce, payment reliability is non-negotiable. The rise of instant payments highlights this need: global instant payment transaction volume reached 195 billion in 2022, with projections to surpass 500 billion transactions by 2027 as more countries adopt faster payment systems. This growing reliance on real-time payment rails raises the stakes for reliability, with any disruption posing major risks to trust and revenue.

As we approach 2026, we’re taking a moment at Atatus to reflect on a year that pushed us forward in every way. 2025 was about raising the bar by expanding integrations, deepening data insights, broadening language support, and rolling out new capabilities that empower teams to see more and do more. Most importantly, the response from our customers and community made it clear that the work we’re doing is making a real difference.

Load Balancing is the process of distributing network traffic among multiple server resources. The objective of load balancing is to optimize certain network operations. Ensuring that a workload is spread evenly among the computing resources, this “balanced load” improves application responsiveness and accommodates unexpected traffic spikes — all without compromising application performance. Let’s take a deeper look at this important networking function.

As Chief Legal Officer, I’ve personally navigated the complex, ever-shifting landscape where privacy compliance meets rapidly evolving technologies. Whether it’s the sweeping reach of a law protecting personal data in the EU, the specific demands of a law giving California residents more control over their personal information, or the critical protections of a law safeguarding sensitive patient health information in the U.S., one challenge remains.

Recommendation: Focus your next AI initiative on one high-impact workflow. Measure, iterate, and scale. Agentic AI has quickly become the next frontier of enterprise automation. Instead of static AI tools that wait for human prompts, agents act on behalf of users by autonomously reasoning, sequencing steps, and taking action within defined guardrails.

We’re expanding the Open 360 AI experience to more users with a modernized navigation and full access to Grafana and OSD dashboards. Your existing dashboards, alerts, bookmarks, and integrations remain unchanged, while new AI-powered capabilities provide deeper explanations and actionable insights. Existing customers can request early access through their account team.

In October’s episode of This Month in Datadog, Jeremy shows how you can use AI to query with natural language in DDSQL Editor, ensure teams stay continually updated during outages, mitigate the impact of flaky tests, and ingest OpenTelemetry Protocol (OTLP) metrics from serverless and third-party SaaS environments.

Security teams face a constant trade-off between detection coverage and alert fatigue. Broad, rule-based detection approaches surface every possible indicator of compromise (IoC) but generate unmanageable alert volumes. Narrow, tightly scoped rules reduce noise but risk missing critical signals. And while individual indicators of compromise can highlight suspicious behavior, they often lack the surrounding context needed to tell a complete story of how an attack unfolded.

The age of dashboards is ending, as observability has only created more noise for network teams to sift through. Kentik SVP of Product, Mav Turner, lays out why true network intelligence requires a clean, contextual data foundation to finally create a network that thinks.

We shipped an improvement to Sentry's game engine and native SDKs that most developers probably didn’t even notice until now – unless they were explicitly aiming to test their Windows-built games on Linux with Wine/Proton compatibility layers. That's exactly the point. While we were focused on improving our game engine SDKs, our learnings while investigating a mysterious issue are applicable for any Windows application running on Linux via Wine or compatibility layer.