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The latest News and Information on Incident Management, On-Call, Incident Response and related technologies.

12 Confluence Cloud Setups Every DevOps Team Needs

12 Confluence Cloud Setups Every DevOps Team Needs

Oct 14, 2026 By OpsMatters In OpsMatters
DevOps teams generate documentation constantly, and most of it is written under pressure. Runbooks are typed at 2 a.m. during an incident. Architecture notes appear in chat threads. Release steps live in one engineer's head until that engineer goes on holiday. The research backs up the cost. DORA, the program behind the Accelerate State of DevOps reports, measures documentation quality with eight metrics covering clarity, findability and reliability, and found it drives the implementation of every single technical practice it studied.
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onpage

After-Hours IT Support: How to Build a Reliable On-Call Process

Oct 13, 2026 By Michelle Chua In OnPage
IT incidents do not follow a 9-to-5 schedule. A server can go down overnight, a critical application can fail on a weekend, or a high-priority support ticket can arrive when the IT team has already left the office. For IT teams, the challenge goes beyond simply providing after-hours IT support. They need a reliable on-call process that identifies the right responder, delivers critical alerts and ensures timely escalation when necessary.
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onpage

How to Manage Cloud Alerts: AWS, Azure, and Google Cloud

Oct 13, 2026 By Ritika Bramhe In OnPage
To manage cloud alerts effectively, define which conditions require immediate action, include useful incident context, and route critical notifications to the engineer currently on call. Add escalation rules for unanswered alerts and test the entire path from detection to response. This process applies whether your team uses AWS, Azure, Google Cloud, or several providers. Cloud monitoring can tell you something is wrong.
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incidenthub

The October 8, 2026 Google Cloud Storage Outage

Oct 12, 2026 By Hrishikesh Barua In IncidentHub
Google Cloud Storage in us-central1 (Iowa) had elevated latency and error rates on upload and write operations on October 8, 2026, and a smaller subset of reads was also affected, according to Google's incident page. Google records the start at 11:00 UTC and the end at 23:30 UTC the same day - 12 hours 30 minutes. The outage report - fetched on October 12, 2026 - includes a preliminary incident report as of this writing.
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manageengine

The recovery playbook every IT team needs to get ahead of downtime

Oct 10, 2026 By Sangavi D In ManageEngine
Most downtime doesn't come from problems your team can't solve. It comes from problems they've already solved sitting in a runbook or a text file, waiting for someone to run the fix manually. The fix is documented, and the steps are proven, yet the recovery still takes 40 minutes because a human has to log in and type it out. Workflow automation exists specifically to close that gap: The fix runs the moment the alert is triggered, not when someone sees it.
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bigpanda

Building Reliable IT Infrastructures

Oct 9, 2026 By Sam Osborn In BigPanda
Downtime is expensive, and it’s getting harder to avoid. Every year, enterprise IT environments grow more distributed, dynamic, and difficult to maintain with legacy tools and manual processes. With unplanned outages costing enterprises nearly $25,000 per minute, establishing and maintaining a resilient IT infrastructure is essential. Enterprises have already invested heavily in resilient architecture.
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onpage

8 Best AI SRE Tools in 2026 for Incident Investigation and Reliability

Oct 9, 2026 By Ritika Bramhe In OnPage
The best AI SRE tools to evaluate in 2026 include Sherlocks AI, Resolve AI, Traversal, Cleric, Rootly AI SRE, Komodor Klaudia, Datadog Bits Investigation, and Dynatrace Intelligence. Each addresses a different part of reliability work, from investigating alerts across multiple systems to diagnosing Kubernetes failures or validating production changes. Choosing the right tool starts with a practical question: where does your team lose time during an incident?
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onpage

10 Best AI Logging Tools in 2026: Features, Pricing & Comparison

Oct 9, 2026 By Michelle Chua In OnPage
As businesses increasingly integrate artificial intelligence into their applications and workflows, understanding what happens behind the scenes of these AI systems has become essential. AI-powered chatbots, large language models (LLMs), and autonomous AI agents can process thousands of requests, interact with external applications, and execute complex tasks. However, when something goes wrong, identifying the source of the problem isn’t always straightforward. Was the AI response incorrect?
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