Operations | Monitoring | ITSM | DevOps | Cloud

From signal to action with ilert and Ekara integration

Modern SRE and IT operations run on two truths: you must see problems the way users do, and you must respond fast. With the new ilert and Ekara integration, you can turn Ekara’s powerful synthetic and real-user insights into actionable alerts and incidents in ilert – routed to the right on-call engineer, enriched with context, and communicated to stakeholders via status pages. The result: fewer surprises, faster recoveries, and happier users.

MTTR Explained: How Mean Time to Resolution Transforms Incident Management Performance

Global DevOps standards prioritize speed and steady delivery. From an operational standpoint, long resolution times mean teams spend more time reacting to problems instead of focusing on preventative work and innovation. Consequently, operational costs go up, since resolving incidents often requires pulling in resources across teams for collaborative troubleshooting. Over time, this misalignment of resources can disrupt the product roadmap and slow down the release of updates.

Intelligent IT Operations: How Modern Teams Achieve Faster Response and Always On Reliability

IT environments look very different from what they were a few years ago. Applications now run across hybrid clouds, systems update constantly, and users expect services to be available at all times. Despite this shift, many IT teams still depend on manual workflows and disconnected tools that slow down response and make it difficult to maintain reliable operations. Modern IT operations require more than basic monitoring or traditional ticketing systems.

The Future of IT Monitoring: How Smart Alerts and Automation Drive Faster Response

Many IT teams rely on monitoring tools that reveal what is happening but do little to guide next steps. Dashboards show spikes, alerts fire nonstop, and yet issues still take too long to resolve. Traditional monitoring focuses on visibility, but visibility alone no longer matches the speed or complexity of modern digital operations.

AI-Suggested Alert Thresholds for Mobile Telemetry

Life is pretty good. I’ve shipped a mobile app and I’m (happily) drowning in telemetry. Battery impact, time in foreground/background per screen, crash rates, slow frames, network retries – the works. The data is brilliant; the challenge is turning signals into reliable alerts that catch real issues which are relevant to my app’s functions. So… what should I actually listen for, and where should I set the thresholds?