How to Set Up Effective Alert Thresholds in Graphite
Setting up alert thresholds in Graphite transforms raw monitoring data into actionable notifications, helping you address system issues before they escalate. Here's what you need to know.
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Voice AI: The Missing Link in Your Agentforce Strategy
Despite the enterprise-wide pivot toward digital deflection, voice remains the primary escalation channel for high-complexity customer issues. Yet, while organizations rigorously optimize digital touchpoints, telephony frequently remains a siloed legacy endpoint, disconnected from the broader CRM architecture. This integration gap creates a strategic blind spot that fundamentally undermines your digital roadmap.
How Dartmouth avoided vendor lock-in and implemented LBaaS with HAProxy One
History is everywhere at Dartmouth College, and while the campus is steeped in tradition, its IT infrastructure can’t afford to get stuck in the past. In an institution where world-class research and undergraduate studies intersect, technology must be fast, invisible, and – above all – reliable. That reliability was put to the test when Dartmouth’s load balancing vendor was acquired twice in five years, as Avi Networks moved to VMware and VMware moved to Broadcom.
Add skills to agents: Use Assistant playbooks for faster answers, investigations
Grafana Assistant is the most general-purpose tool we’ve delivered since dashboards. People use our Grafana Cloud LLM to understand unfamiliar areas of their stacks, generate dashboards and beautiful visualizations out of thin air, build queries, and support investigations.
Grafana dashboards as code: How to manage your dashboards with Git
Note: This blog post originally published in May 2025 and was updated in February 2026 to reflect that Git Sync is now available in public preview in Grafana Cloud. As your Grafana instance scales, so does the challenge of maintaining dashboards. Managing dozens—or hundreds—of dashboards through the UI alone can quickly become overwhelming. Tracking changes gets murky, dashboards multiply, and consistency suffers.
We Built an MCP Server
When I joined Kubex last year, the company was already well aware of the growing power of Large Language Models. As a company focused on intelligent resource optimization for Kubernetes, GPUs, and cloud infrastructure, generative AI didn’t feel like a threat so much as a natural extension of where the industry was heading. Kubex had already invested heavily in machine learning, but it was becoming clear that foundation models could unlock an entirely new class of capabilities for our customers.
How Network Operations Teams Use InfluxDB to Solve Network Monitoring Gaps
Organizations are starting to question whether the value they get from traditional Network Monitoring Systems (NMS) justifies the budget they’ve locked into them.
Introducing Harness Artifact Registry | Unified. Secure. Built for the Future Artifact Management
Managing build artifacts today is harder than it should be. Fragmented tools, security blind spots, and disconnected developer workflows make it difficult to keep builds safe, consistent, and production-ready. In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, shows how Harness Artifact Registry unifies artifact management across the entire software delivery lifecycle — from creation to deployment — while improving security and developer experience.
(Tech Talk) Shipping with Context Knowledge Graphs as the Backbone of AI-First Software Delivery
Knowledge graphs are essential to solving the context bottleneck in AI-First software delivery, which occurs because workflows, policies, and dependencies are siloed and invisible to AI agents. In this Tech Talk, Prateek Mittal ((Product Director of AI Core and Data Platform at Harness)) discusses the key concepts: Knowledge Graphs vs. Observability: Observability tells you "what is happening," while knowledge graphs tell you "what does that mean" by modeling structured relationships. They work together to link live signals to affected services or SLAs.
Blue-Green Deployments for GCP Managed Instance Groups with Harness
Learn how to set up and execute zero-downtime blue-green deployments for Google Cloud Managed Instance Groups (MIG) using Harness Continuous Delivery.