Operations | Monitoring | ITSM | DevOps | Cloud

Vulnerability management has served organizations and the cybersecurity industry for years. It is a capable practice that has helped companies defend their attack surface and prevent threat actors from exploiting vulnerabilities. But technology and IT infrastructure have evolved. Vulnerability management no longer can meet the challenges that come with this evolution.

APIs are no longer just technical connectors between systems; they are production infrastructure. Customer-facing applications, partner integrations, payment flows, and internal microservices all depend on APIs working correctly, consistently, and at scale. When an API fails, the impact is rarely limited to a single endpoint; it can disrupt user journeys, compromise revenue, and breach service-level agreements (SLAs).

Most engineering leaders have a very known and very annoying "normal error." It's the log entry or deployment glitch that has been around so long that it is simply accepted as part of the status quo. Jeff Schnitter, a Solution Architect at Cortex, describes this as a form of organizational Stockholm syndrome. This mindset is unsustainable for several reasons.

Splunk is a leading platform for searching, monitoring, and analyzing logs across IT tools and systems. Well-known for its ability to handle vast volumes of log and event data, Splunk empowers organizations to gain real-time visibility into their systems and operations. However, while Splunk offers rich telemetry and analytics, its dashboards can sometimes become complex - making it difficult to surface the most critical insights quickly. That’s where SquaredUp can elevate the experience.

Reliability used to mean “are we up?” Today, customers ask something more demanding: “Are you fast, everywhere, every time?” The SRE Report 2026 shows that this change is no longer emerging. It is already established.

An on-call responder is the first line of defence when something breaks. They assess the situation and take appropriate action. This guide walks you through what that actually looks like. You’ll see how on-call responders think through an incident and figure out what needs to be done.

There usually isn’t a hard and fast rule about who should be on-call. Teams often look for criteria like seniority, experience, or expertise. While those factors certainly help, they might matter less than you think. It is often more useful to look at whether your processes are ready. When incident responses rely on memory and intuition rather than documentation, even experienced engineers can struggle. They might handle things through internal knowledge that isn’t available to everyone else.

While traditional cloud storage is the normal method people use to store, share, sync, and back up their files online, there are many other options available to consider, especially if you want quick access to large amounts of data. For this, many teams consider checking an object storage vendor list to choose the right service to meet this need. Object storage is a cloud storage architecture designed to handle large amounts of unstructured data.

In 2025, Oracle shocked the market. Its cloud growth was so aggressive that Oracle’s stock surged, briefly making founder Larry Ellison the world’s richest person. That didn’t happen by accident. Oracle closed fiscal 2025 with $57.4 billion in revenue, mainly driven by cloud services. Oracle Cloud Infrastructure (OCI) grew roughly 50% year over year, driven by enterprise databases, AI workloads, and network-intensive applications migrating from more expensive platforms.

Right now, 48% of organizations say they’re being asked to measure or report on AI-related costs. The problem is that they’re still figuring out how to do it. That was a very telling stat from a recent CloudZero webinar on AI and profitability, and speaks loudly to the reality that many organizations are still struggling to get a grasp on AI spend which our data shows to be rising sharply as a part of total spend in recent months.