Operations | Monitoring | ITSM | DevOps | Cloud

Cribl

Cribl.Cloud Goes to Washington: Cribl.Cloud Government FedRAMP Authority to Operate Milestone

Sep 17, 2025 By Andy Nortrup In Cribl
Way back in 2009, when I was serving as a second lieutenant in the U.S. Army, I worked in a network operations center for a deployed Army unit. Our mission was to provide network connectivity across central and northern Iraq. Our observability tools were incredibly limited. We had a network map that would turn nodes and network links red, yellow, and green when they were up or down. We had to write down in a physical logbook any status changes and what we did about them.
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Cribl

Cribl.Cloud Government Is a New Era of Secure Cloud Telemetry for Federal Agencies

Sep 17, 2025 By Dritan Bitincka In Cribl
As a Co-founder and CPO at Cribl, I'm genuinely stoked that our new federal suite, Cribl.Cloud Government, has achieved an “In Process” designation under the Federal Risk and Authorization Management Program (FedRAMP). This isn’t any old milestone. We’re bringing all of Cribl’s kickass capabilities to government agencies, even those that require the strictest compliance and security standards. Because, who doesn’t love a good set of rules?
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icinga

Icinga Experience: Insights from Real-World Icinga Deployments Across Industries

Sep 17, 2025 By Angelika Bang In Icinga
Modern IT environments are hybrid, distributed, and constantly growing. To keep them reliable, organizations rely on monitoring that scales, automates, and integrates seamlessly into existing workflows. We collected 24 Icinga customer stories from industries including finance, telecom, manufacturing, and public services. What unites them is the choice of Icinga as a flexible and cost-efficient alternative to proprietary monitoring tools.
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The Future of IT Operations - Why AIOps Is Perfect for Fast Growing Businesses

Sep 17, 2025 By Infraon In Infraon
The future of IT operations is here, and that’s why AIOps is perfect for fast growing businesses. It is 2025 and companies need to scale quickly without sacrificing performance, stability, or customer experience. AIOps (Artificial Intelligence for IT Operations) provides the perfect solution by combining automation, machine learning, and advanced analytics to manage complex IT environments with ease.
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COREDUMP #016: From Startup to Global Brand: Scaling Engineering at reMarkable

Sep 17, 2025 By Memfault In Memfault
In today’s Coredump Session, we sit down with Nico Comier, CTO of reMarkable, to explore the journey from early-stage startup to global brand. Nico shares insights on scaling engineering teams, balancing technical credibility with leadership responsibilities, and what it really takes to bring a hardware product to market. From the pressures of product launches to the importance of customer connection, this conversation dives into the realities of building impactful technology.
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AI's Impact on Software Devs Productivity & Downsides

Sep 17, 2025 By GitKraken In GitKraken
AI is boosting flow, job satisfaction, and productivity for devs. But here’s the twist: it’s not actually giving us more time to do valuable work. In his GitKon talk, Nathen Harvey digs into the real impacts of AI adoption in technical teams. Yes, AI reduces toil and improves satisfaction. But it also shifts how we spend our time and sometimes that means less “valuable work” gets done. So the question becomes: how can we use AI not just to work faster, but to work better?
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grafana

Faster, more memory-efficient performance in Grafana Mimir: a closer look at Mimir Query Engine

Sep 17, 2025 By Jon Kartago Lamida In Grafana
Until recently, Grafana Mimir — our open source, horizontally scalable, multi-tenant time series database (TSDB) — has exclusively used Prometheus’ PromQL engine to evaluate queries. While the PromQL engine works great, it sometimes needs a lot of memory to run, specifically in the Mimir querier component. To address this memory consumption issue, we recently introduced Mimir Query Engine (MQE).
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last9

What is Asynchronous Job Monitoring?

Sep 17, 2025 By Anjali Udasi In Last9
Modern applications don’t process everything inside the request/response path. To keep APIs responsive, time-consuming work like image resizing, payment processing, or data syncs is moved into background queues. Workers then pick up these asynchronous jobs and run them outside the main thread. Asynchronous job monitoring is the practice of tracking these background tasks: Without this visibility, background workers become a blind spot.
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