Operations | Monitoring | ITSM | DevOps | Cloud

What is AI really going to bring to the table when it comes to migration?

Mar 10, 2026 By Elastic In Elastic
Explore the real capabilities and limitations of AI in system and SIEM migrations. Learn where AI accelerates processes and where human review remains essential. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
View Video
civo

How Techdome accelerates AI-led product delivery with Civo Kubernetes

Mar 10, 2026 By Emma Stewart-Oram In Civo
Accessing cloud infrastructure shouldn’t slow down product innovation. Yet for many engineering teams building AI-driven platforms, traditional hyperscalers often introduce unnecessary complexity, high costs, and slow provisioning cycles. At Civo, we’ve seen a different approach emerge. Our cloud platform enables teams to move faster with Kubernetes, compute, and networking designed for simplicity and speed.
Read Post
upsun

The data context gap: an evaluation guide for agent-ready infrastructure

Mar 10, 2026 By Upsun In Upsun
Why do AI agents that look brilliant in a sandbox fail the moment they hit production? For platform leaders, the answer is a lack of environmental parity: the ability to interact with the exact data state and service topology where the actual bugs live. When an agent attempts to modify a schema, optimize a query, or reproduce a bug without access to the real-world data state, it hits the Data Context Gap.
Read Post
influxdata

When Your Plant Talks Back: Conversational AI with InfluxDB 3

Mar 10, 2026 By Suyash Joshi In InfluxData
No one wants to stare at a plant and guess if it needs water. It’s much easier if the plant can say, “I’m thirsty.” A few years ago, we built Plant Buddy using InfluxDB Cloud 2.0. The linked article is still a great guide for cloud-first IoT prototyping as it shows how quickly you can connect devices, store time series data, and build dashboards in the cloud with the previous version of InfluxDB. But this time, the goal was different.
Read Post
iOPEX

Context is the New Currency: Building a Context-aware Enterprise with Agentforce

Mar 10, 2026 By iOPEX Technologies , In iOPEX
Corporate investment in Generative AI is outpacing value realization. While Large Language Models (LLMs) possess vast general reasoning capabilities, they suffer from a critical blind spot: they are pre-trained on the public internet, yet completely blind to your enterprise reality. This context gap renders even the most advanced models ineffective, forcing them to guess (hallucinate) rather than reason based on your specific business rules.
Read Post
How AI-Powered Wellness Platforms Are Reshaping HR and Employee Well-Being

How AI-Powered Wellness Platforms Are Reshaping HR and Employee Well-Being

Mar 10, 2026 By OpsMatters In OpsMatters
As hybrid work continues to redefine how organizations operate, companies are increasingly turning to artificial intelligence to support not only productivity but also employee well-being. Businesses are realizing that technology can play a major role in protecting the mental and physical health of their teams while also strengthening overall organizational performance.
Read Post
honeycomb

Create a Custom Service Health Board With the Honeycomb MCP

Mar 9, 2026 By Jessica Kerr (Jessitron) In Honeycomb
Your software is sending data to Honeycomb. Now where is the dashboard you want? The best dashboard is one created just for your application, or your service, or your team. You can get that in minutes with the Honeycomb MCP. Open your coding agent in your IDE, or on the command line in your code repository. Configure the Honeycomb MCP and authenticate with Read and Write permissions. Now tell it what you want. You can be high-level: Make me a service health board for the frontend service.
Read Post
datadog

Four ways engineering teams use the Datadog MCP Server to power AI agents

Mar 9, 2026 By Bowen Chen In Datadog
Since the Datadog Model Context Protocol (MCP) Server first launched in Preview, Datadog has experienced an overwhelming amount of interest and feedback from customers. We appreciate those who requested access to test our product, provided feedback, and shared their stories of how the MCP Server helped them overcome engineering challenges.
Read Post

You Bought the AI Licenses. Why Is Only One Developer Getting 10x Results?

Mar 9, 2026 By Dylan Etkin In Sleuth
Here's something nobody talks about at the AI strategy meetings. Your organization just spent six figures on Cursor licenses, Claude seats, and Copilot subscriptions. Ninety percent of your engineers have access. By most internal measures, the rollout was a success. But somewhere on your team, one developer is running circles around everyone else.
Read Post
Seedance 2.0 vs Traditional Production: Is AI Finally Production-Ready?

Seedance 2.0 vs Traditional Production: Is AI Finally Production-Ready?

Mar 9, 2026 By OpsMatters In OpsMatters
Every few years, a new tool appears that forces the creative industry to pause and reassess its assumptions. In 2026, that conversation is happening again, this time around AI video. The question is no longer whether AI can generate impressive demo clips. That phase is over. The real question is far more consequential.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.