Operations | Monitoring | ITSM | DevOps | Cloud

August brought notable outages across developer platforms, SaaS tools, communications services, and cloud applications. StatusGator detected 789 Early Warning Signals during the month. Of those, 153 incidents (19.39%) were acknowledged by providers, while 636 (80.61%) were not officially acknowledged. StatusGator’s Early Warning Signals often surface service disruptions before providers post an official update.

NiCE Management Packs detect issues as they happen. Evaluation & Demo.

“AI-ready” is everywhere right now, attached to nearly every product in every category. The catchy label rarely means anything specific, just as additional questions are warranted when vendors claim to be “AI-native”. After fighting through all the marketing jargon, there needs to be a standard, not a slogan. And the definition changes depending on what the data is for. AI-ready for a data warehouse and AI-ready for live operational telemetry are not the same problem.

This post analyzes the technical details of the BGP hijack against Softaculous Ltd, the company behind the Softaculous auto-installer and the Virtualizor VM management platform. The hijack enabled an attacker to fraudulently obtain a TLS certificate and use it to deliver a malicious Virtualizor update to a portion of the company’s customer base.

Observability spend is outgrowing infrastructure budgets. What drives the cost up, how pricing models work, and a practical framework to manage it. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

If you are able to build it better than your vendor, then change your vendor. Not build it. Rishi builds large-scale observability systems at Last9, focusing on reliable and cost-efficient telemetry infrastructure, and writes about the practical lessons learned while operating ClickHouse, VictoriaMetrics, and OpenTelemetry in production.

A log line arrives as plain text and leaves as a record you can query. Six steps sit between those two states. Each one adds something useful, and each one costs you time, CPU, or storage. Most teams never look at that chain until a search comes back empty. Here is what log processing does to an event, step by step: By the end you can look at your own chain. You will know what each step buys you. Six steps turn a raw log line into a searchable record.

Sensitive values reach your logs without anyone deciding they should. A debug line prints a whole request object. An error message carries the query string. A customer email address is suddenly stored in three systems. PII redaction in logs then gets treated as one setting to switch on. In practice it covers four separate treatments. The value is already inside the message before log ingestion finishes. In this blog, you will: By the end you can write a rule for each field and defend it.