What Actually Saves Time in Link Building for Small SEO Teams
A practical guide to where outreach tools cut work, where they create hidden work, and what small SEO teams should keep manual.
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How AI Is Being Used to Fast-Track Patients in Healthcare
Healthcare systems are under growing pressure due to rising patient demand and limited clinical staff. To manage this, hospitals and clinics are increasingly using artificial intelligence to speed up patient flow and reduce waiting times. AI helps by automating triage, improving scheduling, and supporting clinicians with faster decision-making. The result is a more efficient system where patients can be assessed and treated sooner.
Five things your logs will never tell you
A customer escalation hit my queue when I was on the customer smoke jumpers team at an observability vendor. My team was the group that parachutes into Fortune 500 accounts one bad week from churning and usually after a big customer outage. The customer had filed a billing dispute three weeks earlier and their on-call engineers were stuck. They had our full stack: logs, metrics, traces, end-to-end instrumentation, every product we sold and some we didn’t. They could see the request came in.
New: Save time during incidents with incident templates
Creating incidents often means filling out the same information over and over again. That’s why we’ve added Incident Templates – a faster way to create incidents using pre-configured settings. With templates, you can save commonly used incident details and apply them with a single click whenever you need them.
Self-hosted AI Is hard. Konstruct makes it simple.
Thousands of configuration options. Optimisations everywhere. No clear way to track what's running where. Civo Platform Engineer M R Rishi breaks down why running AI on your own infrastructure is harder than it should be and how Konstruct changes that.
MSP Summit: Why You Need Effective Documentation & How to Achieve It
Every year, MSP Summit unites some of the brightest minds in managed services. From tackling complex migrations that should have been straightforward to managing thousands of unique client environments, MSPs excel at adapting and rising to challenges, even as industry trends evolve. Even as industry trends evolve, though, one theme consistently comes up year after year: documentation.
What is ServiceOps?
Discover how Motadata ServiceOps unifies IT service management, IT asset management, and patch management in a single ITIL-aligned platform. Powered by AI, it helps automate workflows, streamline ticket resolution, and improve service delivery. One platform for service, assets, and everything in between.
Introducing Datspaces and Datasets
Dataspaces and Datasets | The Structured Data Layer for Teams and AI | Coralogix Dataspaces and Datasets from Coralogix: the structured data layer teams and AI were waiting for. Turn a single query into a reusable dataset, share it across teams, and keep dashboards fast as your data scales. In this video: Timestamps: Dataspaces and Datasets are available now in Coralogix. Whether you're building dashboards, running background queries, or powering AI agents with telemetry data, Dataspaces give your organization a governed, high-performance data architecture that scales with your teams.
Introducing Kepler | GitKraken's Agentic Development Environment (ADE)
Kepler is GitKraken's agentic development environment: mission control for running parallel coding agents at scale. Running one agent is easy. Running five of them across three repos is where things break: scattered terminals, no shared view, no idea what's done or stuck. Kepler puts every agent session on one surface so you can plan work, write code, and review what ships without losing track of anything.
Inside the AI Team Weekly: AI Observability workflows and Prometheus exemplars (May 19th, 2026)
The Grafana AI team (Engineers Ivana Huckova and Sonia Aguilar) share what's new in AI Observability this week: a new way to instrument and visualize agent workflows, plus a neat trick for jumping straight from a metric spike to the exact conversation that caused it using Prometheus exemplars. In this episode: We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)