Operations | Monitoring | ITSM | DevOps | Cloud

Generative AI (GenAI) is moving quickly into banking. According to a 2025 survey by McKinsey, 52% of financial institutions surveyed already consider GenAI a priority, while another 39% are interested but have not yet made it a top priority. As adoption grows, banks need to think carefully about what AI agents can access, which identities it uses, what actions it can take, and whether those activities can be traced when something goes wrong.

Your sales team missed an important meeting because a laptop froze in the middle of the presentation. The finance team recreated a spreadsheet three times because Excel closed by itself. None of these incidents became a ticket. None were recorded. But both cost money. Most companies measure IT health through technical indicators: servers up, systems online, tickets resolved.

Customer experience leaders face pressure from every direction. Customers want a faster, more personalized service. Employees need better context and simpler workflows. Business leaders expect measurable returns from artificial intelligence. IT teams must support all of it while protecting security, continuity, and the value of existing investments. That combination can make customer experience modernization feel like an all-or-nothing decision. In reality, many organizations do not need to start over.

AWS EKS monitoring guide: free control plane metrics, control plane logs, node health, VPC CNI IP exhaustion, and which alerts to set first. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Snowflake monitoring guide: ACCOUNT_USAGE views and their delay, the query and warehouse metrics that matter, idle credits, resource monitors and alerts. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Kubernetes Community Days (KCD) Argentina brought together the vibrant technology communities of Buenos Aires for in-depth technical talks, SRE workshops, and an amazing opportunity to connect with fellow experts in cloud technology. Coroot had a great time participating, and we extend our thanks to all the SREs, DBAs, and DevOps engineers who stopped by the booth to discuss their observability experience.

A multi-cloud management platform is software that lets you run, provision, govern, or optimize workloads across two or more environments, such as AWS, Google Cloud, Azure, and your own data centers, from one place. The products in this category do different jobs: some run your applications across clouds, some provision infrastructure as code, some govern hybrid estates, and some optimize cost. Most teams combine two or three.

It's 2:14am. A pager alert wakes an on-call engineer for a checkout failure hitting a slice of customers. By the time they've pulled the right logs, cross-checked the deploy history, and finally gotten the bug to happen again in front of them, the sun's coming up. The incident report will list two hours of downtime. It won't say anything about the day that engineer just lost, or the fact that nobody on your team could have told you in advance how long that reproduction step was going to take.