Operations | Monitoring | ITSM | DevOps | Cloud

How Much Is A Petabyte? Local vs Cloud Storage Costs

Today, roughly 94% of enterprises are projected to use some form of cloud service, with 82% adopting hybrid models that combine cloud and on-premises infrastructure. By 2030, around 60% of all corporate data is expected to be stored in the cloud, highlighting a major shift away from traditional storage systems toward distributed, on-demand infrastructure. With such a huge amount of data, companies need a scalable, affordable, and secure method to store 1 PB.

The zero-trust agent: why your AI needs a sandbox, not a blank check

Key takeaway: Granting AI agents unrestricted access to cloud infrastructure is an unacceptable security risk. Upsun provides a "zero-trust" framework by utilizing isolated, production-perfect preview environments that allow AI to be productive without the risk of a hallucinated production outage.

Zero-Code OpenTelemetry for Vert.x

Drop a JAR on the JVM. Get distributed tracing, RxJava context propagation, log-trace correlation, and Vert.x internal metrics. No code changes. No Maven dependency. Java 8–21. Inside the design of last9/vertx-opentelemetry v2.3.4. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

From noise to knowledge: How GenAI is revolutionizing log management and analytics

Focusing on GenAI and logs for IT efficiency Efficiency is everything for managing today’s digital systems. Technology is constantly transforming and expanding operations are driving an explosion in data. Consequently, data ingest and storage costs have soared. But it’s not just storage data costs that keeps teams behind.The challenge of managing all that observability data forces IT teams to choose between efficiency and the bottom line.

SLA Best Practices for Enterprise IT Teams

How to Draft, Customize, and Keep Service Level Agreements Defensible Most enterprises do not discover the weaknesses in their SLAs during the drafting process. They discover them during an incident review, a customer escalation, or a contract dispute, when the language that seemed reasonable at signing turns out to be too vague to measure, too broad to enforce, or disconnected from the operational data that would make it defensible.

How to Customize an SLA Template

A Practical Guide for Help Desk, IT Operations, and Enterprise SRE Teams A service level agreement template is only useful if it can be customized. The version that ships with your ITSM platform was designed to be generic enough to apply anywhere, which makes it precise enough to apply nowhere. The teams that maintain defensible SLAs are not the ones with the most sophisticated legal language.

KPI vs SLA: What's the Difference?

Why Confusing Them Costs You More Than a Missed Target Every operations leader tracks KPIs. Every enterprise IT team has SLAs. Both involve targets, both involve measurement, and both surface in the same board reviews and vendor conversations. So it is not surprising that the two get treated as variations of the same thing.

From fragile to resilient: Rethinking security operations in the age of AI

Watch From Fragile to Resilient: Rethinking Security Operations in the Age of AI to hear Nicole Reineke from N-able and Fernando Montenegro from The Futurum Group discuss how AI is reshaping the threat landscape, where current security operations models are starting to break down, and what a more resilient approach looks like in practice. This session explores the rise in AI-driven attacks, the growing pressure on security teams from alert overload and visibility gaps, and practical ways organizations can improve response, recovery, and resilience across the full threat lifecycle.