Operations | Monitoring | ITSM | DevOps | Cloud

Cloud Cost Management & Trends in 2025: Strategies to Optimize Your Cloud Spend

Cloud computing has become the backbone of modern business operations, powering everything from day-to-day collaboration to large-scale digital transformation initiatives. As organizations deepen their reliance on cloud services, the financial stakes continue to grow. According to Gartner, global spending on public cloud services is projected to reach over $720 billion in 2025, a significant increase from nearly $600 billion in 2024.

Synthetic Testing Examples: User Flow Testing, APIs Validation, Custom Metrics, Log Ingestion, and More

Starting from scratch with synthetic testing of your web properties and APIs can be difficult. Questions like “what should we be testing?” will very quickly become exercises in figuring out “how can we actually do that?” which may involve sifting through various elements of the DOM or JSON responses. But there are shortcuts to synthetic testing mastery!

Contextual Observability: Using Tagging and Metadata To Unlock Actionable Insights

Observability isn’t about collecting more telemetry — it’s about making that telemetry data meaningful. Contextual observability transforms raw telemetry into actionable insights by enriching it with consistent tagging and metadata. Without context, telemetry data remains fragmented, troubleshooting slows, and aligning with business priorities is nearly impossible.

Business Process Automation, Explained

Business process automation no longer sits on the sidelines. What was once an emerging technology is now the engine behind modern business operations. In fact, around 60% of companies already use automation tools in their workflows, according to Duke University. This is not just companies — developers are also contributing to this shift by adopting low-code, no-code, and digital process automation platforms. These new tools remove barriers that once slowed innovation.

AI Data Management: Strategies, Tools, and Trends

Artificial Intelligence (AI) is revolutionizing businesses across industries. From personalized customer experiences to predictive analytics and process automation, there are hardly any sectors untouched by AI's impact. Its applications in data management aren't left behind. In fact, AI has the potential to transform traditional data management practices.

Mission-Critical Visibility: How Observability Empowers the DoD

Tech is entering another wave of innovation with AI. With accelerated innovation comes increased complexity in already disparate environments. For Defense, those complexities are compounded by the need to maintain and operate mission critical infrastructure with highly sensitive data in air-gapped environments, often running on custom digital systems and applications. Accelerating the speed of innovation with leading technology is key for the military to maintain its competitive edge.

Accelerating Observability Adoption: Why Self-Service Isn't Optional Anymore

For observability adoption to scale, you must eliminate the bottlenecks. A self-service approach is the only sustainable model, enabling all teams–not just a select few–to access, implement, and scale observability easily. But making the shift requires more than access: you have to design for it.

Australia Is Investing in Resilience - Are Businesses Ready?

The 2025-26 Australian Federal Budget sets out a clear priority: building a stronger economy and a more resilient nation. That includes investment in critical infrastructure, skills and services to help Australians navigate ongoing uncertainty. More than $3 billion has been committed to upgrade the National Broadband Network (NBN), extending high-speed fibre to 95% of homes and businesses.

AI and the Data Value Challenge: Why It's Time to Rewrite the Rules of Data Management

Like the sailor in Coleridge’s “The Rime of the Ancient Mariner,” surrounded by ocean water that he cannot drink, modern organizations contend with similar challenges: data is all around, but it’s not doing them much good (or as much as it could at least). Exploding data volumes have complicated the data management strategies for security and observability teams seeking to contain costs while meeting regulatory and compliance obligations.

Events, Alert, and Incidents: What's The Difference? How Do They Relate?

Effectively managing events and alerts is essential for preventing or quickly resolving incidents, whether it’s a sudden service outage or an ongoing cyberattack. The three terms — events, alerts, incidents — are different but they are closely related. Read on to learn more. Ensuring the reliability, performance, and efficiency of IT systems is both the heart of operational excellence and an important strategic objective for digital organizations.