Operations | Monitoring | ITSM | DevOps | Cloud

statusgator

Get Third-Party Outage Alerts in Discord with StatusGator

Oct 6, 2025 By Colin Bartlett In StatusGator
When SaaS tools go down, teams need fast, reliable alerts right where they communicate. Now, with the StatusGator integration for Discord, you can receive real-time third-party outage alerts directly in your server. Whether you’re monitoring the status of AWS, Slack, GitHub, or Google Workspace, StatusGator keeps your team informed instantly when disruptions happen.
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certkit

The 47-Day Certificate Ultimatum: How Browsers Broke the CA Cartel

Oct 6, 2025 By Todd H. Gardner In CertKit
For twenty years, Certificate Authorities ran the perfect protection racket. The CAs had a beautiful monopoly. Browsers needed them to keep users safe. Websites needed them to look legitimate. Everyone paid up, nobody asked too many questions. Then the cryptography of most certificates (SHA-1) got shattered, and the browsers realized they’d been played.
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almaden ai

From Firefighting to Proactive Resolution: How Almaden's Collective IQ Is Revolutionizing the Service Desk

Oct 6, 2025 By Almaden AI In Almaden AI
Picture this: It’s Monday morning, the Service Desk ticket queue is piling up, and Level 1 analysts are already in full “firefighter mode.” Every ticket feels like a blaze: users locked out, critical apps running slow, unexplained system failures. The problem? They’re trying to put out flames without seeing where the fire started. Without real visibility into the environment, troubleshooting is based on trial and error.
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Pastries with SREs: Leveling up observability and donut dunkability

Oct 6, 2025 By Elastic In Elastic
In this episode of Pastries with SREs, we explore what it really means to shift left with observability, moving from reactive firefighting to proactive performance. And yes, it starts with donuts. We unpack how SREs and IT Ops teams are often stuck reacting to incidents, battling alert fatigue and swivel-chair triaging. But what if you could pull in developers earlier, and give everyone a unified view of observability data?
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uptrends

Observability-as-Code: Bring synthetic monitoring into your pipeline

Oct 6, 2025 By Uptrends In Uptrends
Your team just deployed to production. The infrastructure spun up in 90 seconds, but recreating your monitoring? That’ll take hours. It’s added late in the process, managed through dashboards, and prone to inconsistency. Short-term, this slows delivery and creates visibility gaps that surface only during incidents. Long-term, it leaves a business-critical capability out of your observability pipeline.
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xMatters

Signal Enrichment: Turning Noisy Alerts into Actionable Intelligence

Oct 6, 2025 By Jon Skog In xMatters
This is the fourth post in our series on the future of incident management, which builds upon The Future of Incident Management: Your Blueprint for Operational Excellence, How Native Process Automation and Auto-Remediation Drive Operational Excellence, and Service Intelligence is the Future of Proactive Incident Management.
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Bitbucket Dynamic Pipelines Creation and Deployment | Bitbucket Blitz | Atlassian

Oct 6, 2025 By Atlassian In Atlassian
In this video, I introduce Bitbucket's Dynamic Pipelines. By watching this video, you'll learn how to create a Dynamic Pipeline using Atlassian's Forge tool and deploy it to your Bitbucket Cloud site. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.
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circleci

Automated RAG pipeline evaluation and benchmarking with RAGAS

Oct 6, 2025 By Muhammad Arham In CircleCI
Retrieval-Augmented Generation (RAG) pipelines have become an integral part of how Large Language Models (LLMs) access information beyond their training cutoff. These pipelines enable LLMs to deliver current, accurate, and grounded responses. By fetching relevant external documents, RAG mitigates common LLM challenges like factual inaccuracies and hallucinations. However, this methodology introduces a new complexity: evaluating RAG pipeline performance is particularly challenging.
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