Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes v1.34, which is scheduled for release August 27, 2025, focuses on improved scheduler visibility, deeper life cycle observability, and enhanced resource management. As always, the list of changes and improvements in the official changelog is extensive, and cluster operators may be wondering which changes are most important. If you're operating a monitoring platform or depend on deep Kubernetes observability, here's how a number of new features will affect your workflows.

When latency creeps into your app, metrics tell you that performance regressed, but logs tell you why. PostgreSQL’s slow-query logging gives you the exact statement, duration, user, and database which is perfect for hunting down missing indexes, inefficient filters, or N+1 patterns.

In today’s high-velocity digital ecosystem, visibility isn’t enough. SREs and engineering leaders need real-time insights, actionable signals, and automated workflows to operate at scale. As systems grow more distributed and cloud-native, the demand for intelligent observability and security has never been higher. Extensions are solutions to get instant observability with prepackaged parsing rules, alerts,dashboards and more.

 A major studio drops its new episode at midnight. Millions are queued to watch. Push notifications hit, the app surges in traffic, and then timeout. Spinning wheels. Frozen screens. Social media lights up. Customers don’t just notice they remember. For today’s communications, media, and information (CMI) brands, digital reliability is the product. Viewers, subscribers, and enterprise users aren’t comparing your uptime to industry benchmarks.

From manual monitoring to proactive optimization, learn how Tipalti used AutoOps to save 10% annual costs. For a global payables automation leader like Tipalti, where financial transactions are the lifeblood of the business, infrastructure performance isn't just a technical goal; it's a core business requirement. Managing a complex ecosystem of databases, including Postgres, SQL Server, MongoDB, Kafka, and Elasticsearch, with a lean team of four engineers demands efficiency and powerful tooling.

The need to differentiate IT Service Management (ITSM) and Enterprise Asset Management (EAM) has now become impractical in an era of immense technological complexity and unlimited demands for operational efficiency. Organizations today increasingly rely on both digital services and physical assets to derive value; however, siloed processes and disparate data repositories lead to slow incident resolution, uncoordinated change initiatives, and hidden risks.

WiFi Access points (APs) are the foundation of business WiFi. They’re the devices making sure laptops, smartphones, and even IoT gadgets connect reliably without cables. If an access point fails or becomes overloaded, the entire wireless experience can collapse, no matter how strong your Internet connection is. By keeping a close eye on your APs with the right WiFi access point monitoring software, you can catch issues before users even notice them.

In the rush to adopt AI in IT operations, many organizations focus on feeding copilots as much data as possible. But here’s the problem: data without context is just noise. An IT copilot that can’t distinguish what matters from what doesn’t won’t reduce alert fatigue or accelerate troubleshooting.