Operations | Monitoring | ITSM | DevOps | Cloud

Optimising Your Everyday Financial Operations for Maximum Efficiency

Optimising Your Everyday Financial Operations for Maximum Efficiency

Apr 23, 2026 By OpsMatters In OpsMatters
In the world of IT operations and business management, efficiency is everything. Professionals build automated workflows, eliminate operational redundancies, and actively work to reduce manual interventions. Yet, when it comes to personal money management, many of these same analytical thinkers still rely on outdated, highly manual processes. Treating your personal finances like a streamlined operational workflow can completely transform how you build wealth and manage daily expenses.
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isdown

AWS Outage History: What Engineering Teams Should Learn

Apr 22, 2026 By Nuno Tomas In isDown
If you've been running production workloads on AWS for more than a year, you've felt it: the 3 am PagerDuty alert, the scramble to check the AWS console, the frantic Slack thread asking, "Is this us or is this AWS?" And then, minutes or hours later, the AWS Service Health Dashboard finally acknowledges what your users have been experiencing all along. It happens because AWS is the backbone of modern infrastructure.
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atatus

Top 13 Prometheus Alternatives in 2026

Apr 22, 2026 By Pavithra Parthiban In Atatus
Prometheus is a widely adopted open-source monitoring and alerting toolkit, popular among DevOps and SRE teams for its robust metrics collection and powerful query language (PromQL). It is fast, reliable, and purpose-built for modern, cloud-native environments. However, Prometheus may not suit all teams or projects. In 2025, several alternatives offer different strengths that might better match your specific monitoring needs.
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icinga

Modernizing a legacy CMake build-system

Apr 22, 2026 By Johannes Schmidt In Icinga
CMake tends to have a bad reputation for being to complex and convoluted, but often that notion stems from very old versions of CMake. Sure, CMake is a Turing-complete scripting language, but that is really needed for an ecosystem as complex as that of C and C++. And as Greenspun’s tenth rule of programming goes: There are countless build-systems and build-system generators for the C/C++ ecosystem. Some of them tried to use a simple, declarative approach.
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netdata

Nagios Plugins Collector: Run Your Existing Checks and Custom Scripts Inside Netdata

Apr 22, 2026 By Shyam Sreevalsan In netdata
A lot of teams have a collection of Nagios plugins and custom monitoring scripts that have been running reliably for years. Some are standard community plugins for checking disk health or SSL certificate expiry. Others are homegrown Bash or Python scripts that check something very specific to the business: whether an API endpoint returns the right payload, whether a batch job completed on time, whether a queue depth is within bounds.
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jfrog

Under the Hood: Engineering JFrog Premium Availability

Apr 22, 2026 By Michael Tulp In JFrog
In the modern software factory, 99.9% uptime is no longer the gold standard. A standard 99.9% SLA translates to approximately 43 minutes of unexpected downtime per month. While industry data shows that a single minute of downtime costs an average of $9,000, for large global enterprises, that figure can easily be 5x higher. At tens of thousands of dollars per minute, those 43 minutes quickly compound into a catastrophic financial and operational risk.
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dns spy

New: SSL Certificate Monitoring, Security Center, Domain & SSL Expiration Tracking - Plus Our Affiliate Program

Apr 22, 2026 By DNS Spy In DNS Spy
DNS Spy now goes well beyond DNS record monitoring. We've shipped SSL certificate discovery and security auditing, expanded the Security Center to 40+ automated checks across six categories, and built expiration tracking for both domains and SSL certificates — with tiered alerts so nothing expires without warning.
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cloudzero

What Is LLM Observability? For CFOs And Engineers, The Missing Layer Is Cost

Apr 22, 2026 By Keith MacKenzie In CloudZero
You probably have Datadog. Maybe New Relic, maybe Dynatrace. Your observability stack has been solid for years — and you're still flying blind on AI cost. Here's why LLM observability needs a fourth pillar most tools skip, and how to build one that actually tells you what your models are costing you per request, per feature, per customer.
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