Operations | Monitoring | ITSM | DevOps | Cloud

Azure Service Bus is a critical messaging service for building scalable cloud applications, but performance bottlenecks can lead to delayed message processing, throttling, or even dropped messages. It is essential to identify and resolve these issues to maintain smooth application workflows and prevent downtime. This blog explores common Azure Service Bus performance problems, provides step-by-step debugging strategies, and highlights how proactive monitoring can prevent recurring issues.

Managing a hybrid IT environment is more complex than ever, requiring real-time visibility, automation, and intelligent cost control across cloud and on-premises infrastructure. Virtana’s latest innovations help organizations streamline operations, optimize costs, and enhance security, validating that every layer of IT—whether in the cloud or on-prem—operates at peak efficiency.

Managing containerized workloads and Windows environments requires more than just basic monitoring—it demands deep observability to prevent performance bottlenecks, optimize costs, and accelerate troubleshooting. Virtana’s latest Container Observability enhancements provide IT teams with greater control, visibility, and analytics across Kubernetes and Windows-based workloads.

Modern IT environments are complex, spanning on-premises, cloud, and hybrid infrastructures. Without deep observability at every layer, performance bottlenecks, inefficiencies, and troubleshooting challenges can drain resources and impact business outcomes. Virtana’s latest Infrastructure Observability enhancements are designed to eliminate blind spots, automate performance tuning, and simplify IT operations.

In the world of observability, data is only as valuable as your ability to interact with it. That’s why we’re introducing Global Dashboard Parameters, a new Lumigo feature that empowers you to filter and explore your data across traces, logs, and metrics more dynamically than ever before.

The Amazon Redshift data cloud provides a fast, secure, and widely accessible data warehouse solution. It is an ideal platform for performing complex analytics and processing large data sets. In addition to supporting multi-parallel processing (MPP), Redshift is also a type of Online Analytical Processing (OLAP) database. Yet, one of Redshift’s main selling points is its cost-effectiveness over alternatives like Snowflake and BigQuery. Is this the case? What is the actual cost of Amazon Redshift?

To coincide with KubeCon Europe 2025, we’re excited to announce the latest release of Densify’s Kubernetes optimization engine, Kubex, which delivers full-stack resource management and seamless automation resource optimization at enterprise scale. This release delivers the advanced controls enterprises have been asking for—without sacrificing the intelligence and precision that sets Densify apart.

Not long ago, our co-founder and CTO, Erik Peterson, shared some insights on AI spending. He shared how AI costs currently fall under the write-off-friendly world of R&D. He also acknowledged why DevOps teams might feel it’s too early to start optimizing AI costs. As the saying goes, “Premature optimization is the root of all evil.” But after more than a decade of software development, Erik knows that eventually, research, experimentation, and big ideas need to deliver real returns.