Operations | Monitoring | ITSM | DevOps | Cloud

You're running Kafka on Confluent Cloud. You care about lag, throughput, retries, and replication. But where do you see those metrics? Confluent gives you metrics, sure, but not all in one place. Some live behind a metrics API, others behind Connect clusters or Schema Registries. You either wire them manually or give up. What if you could stream those metrics to a platform built for high-frequency, high-cardinality time series, and do it in minutes?

Frequent Heroku outages, including a 15-hour disruption on June 10, 2025, are severely impacting businesses. Discover why developers are leaving Heroku for more reliable, cost-effective PaaS alternatives.

Critical vulnerabilities in Microsoft SharePoint (CVE-2025-53770 and CVE-2025-53771) are currently being exploited in the wild. Disclosed on July 19, 2025, these vulnerabilities have CVSS scores of 9.8 and 7.1 respectively, indicating severe and high risk. CVE-2025-53770 affects on-premises Microsoft SharePoint Servers, allowing unauthorized attackers to execute code over a network. CVE-2025-53771 affects Microsoft Office SharePoint, allowing authorized attackers to perform spoofing over a network.

Platform engineering teams face a critical challenge: scaling software delivery across dozens of development teams without killing innovation and velocity. The traditional approach forces an impossible choice: rigid standardization or operational chaos. Platform teams get buried in manual configuration requests, security updates take weeks to roll out, and compliance gaps emerge from inconsistent practices and developer workarounds.

Platform teams are struggling with observability noise, bloated storage costs, and lack of clarity during incidents. Most teams capture everything all the time, leading to expensive, overwhelming, and often unnecessary data volumes. In Telemetry for Modern Apps, Mezmo teamed up with Checkly to demonstrate how synthetic monitoring triggers and responsive telemetry pipelines can help reduce costs while maintaining the context needed during incidents.

Tips and best practices to help you get up and running with FireHydrant's Model Context Protocol integration. Manage incidents, alerts, and retrospectives directly through AI assistants like Claude or Cursor. Welcome to the FireHydrant MCP Server user guide! This guide will help you get up and running with FireHydrant's Model Context Protocol integration, allowing you to manage incidents, alerts, and retrospectives directly through AI assistants like Claude or Cursor.

TL;DR Missed GitKraken AI All Access Week? Here’s what went down, why devs are still buzzing about it, and how you can still get in on powerful AI tools that level up your Git workflow.

Ever look at your to-do list at the end of the day and realize it’s grown longer, not shorter? We get it—there’s always more to do and never enough time. But if you’re a Sumo Logic user, reading this blog will be a win for your day because we’re giving you six ways to slash the time you spend on tasks in your platform.

Many organizations still rely on traditional phone hotlines to provide after-hours support or emergency coverage. While this approach is familiar, it’s often inefficient, hard to scale, and costly. Missed calls, voicemail black holes, or unclear routing logic can lead to delayed responses and frustrated customers. Whether you’re using a third-party service or your own PBX system, the process often requires manual steps, extra tools, or call forwarding rules that aren’t dynamic.

Downtime during deployments can affect the performance of your work. Data can be lost, and trust in your application can be destroyed. Luckily, zero downtime deployments do not need to be complex or involve a big infrastructure. This tutorial will teach you to establish a stable CI/CD pipeline with CircleCI and Render to automatically test and deploy a basic React application.