Operations | Monitoring | ITSM | DevOps | Cloud

Bindplane | Notifications

Real-time alerts for your telemetry pipelines are here. In this quick overview, you’ll learn about the new Notifications panel in Bindplane. This update gives you real-time visibility into key changes across your configurations, fleets, and agents so nothing slips through the cracks. You’ll see how Notifications helps you stay ahead of: This new feature centralizes alerts you’d otherwise miss — making Bindplane easier to operate at scale. Email, Slack, and webhook notifications are also on the way.

Datadog on Apache Iceberg

Historically, Datadog has relied on technologies like Snowflake and Apache Spark on raw parquet files (lacking consistent table structure) to power internal analytics and data science at scale. As usage grew across product teams, more features depended on data science teams, and our datasets grew to include more telemetry data, these systems became complex to manage and govern both technically and financially. The need for a more flexible and scalable solution led Datadog to adopt Apache Iceberg, an open source table format for data lakes that brings reliability and performance while remaining SQL-friendly.

Part 2: What If Automation Didn't Just Execute Tasks but Earned Our Trust While It Worked?

Every leap forward in technology begins with a question that feels almost human in its curiosity. In this series, we’re examining those questions, the ones that reveal where intelligence meets intention. If data was the foundation of understanding in our first conversation, automation is where that understanding begins to act.

FAQs, SchmAQs: The IT Automation Solution that Does the End-to-End Work for You

At some point in the last few decades, every enterprise convinced itself that the humble FAQ page was going to save IT. If you could just document everything (every how-to, every troubleshooting step, every tribal data nugget living in someone’s head) you could finally stop the ticket flood. The idea was for employees to self-service and avoid escalating to engineers while freely sharing knowledge across a de-siloed ecosystem. But of course, that’s not what actually happened.

Why Healthcare CX Fails at the Handoff and How Agentic AI Cuts Resolution Time by 75%

Healthcare contact centers spend an average of US$13.9M annually, with labor absorbing nearly half of this cost. Yet 7% of patients abandon interactions before reaching an agent, and most issues, coverage checks, refills, wayfinding, and status updates should never have reached a person in the first place. The core problem is structural. Every handoff between portals, call centers, apps, and clinical systems breaks context. Every break forces the patient to repeat information, wait longer, and lose trust.

How to Check SSL Certificate Expiration Date: Complete Guide to SSL Monitoring

SSL certificates are critical for securing websites, web applications, and APIs. They encrypt data in transit, verify server authenticity, and build user trust. However, SSL certificates have a limited lifespan, typically ranging from 90 days to one year. When a certificate expires, visitors encounter security warnings, some services stop working, and it can affect search engine rankings. Monitoring SSL certificate expiration is essential to maintain secure and uninterrupted online services.

Ultimate Guide to DevOps API Monitoring for Modern SaaS Teams

APIs form the operational backbone of SaaS platforms. They authenticate users, deliver application data, process transactions, and connect multiple services into a cohesive ecosystem. When an API slows down or fails, the impact is immediate: login delays, frozen dashboards, broken customer workflows, and degraded user experience. For DevOps teams, this means monitoring must go far beyond checking status codes.

Stop Treating Models Like Magic, Start Treating Them Like Binaries

In my previous posts, we discussed the where and the how of managing your ML assets. We showed you how JFrog Artifactory acts as a powerful, universal model registry (the “where”) and how the FrogML SDK serves as the gateway to get your models and metadata into it (the “how”). Now, let’s talk about the why.