Virtual machines (VMs) deliver flexible, scalable, and cost-effective computing solutions for businesses of all sizes. Microsoft Azure offers efficient and powerful VMs, but as infrastructures boom, the computing environment tries to accommodate the increased demands of the infrastructure. As VM demand increases, it can impact their performance and disk operations. This leads to performance degradation, storage fragmentation, capacity constraints, and increased risk of disk failure.

Dynatrace and AppDynamics are two of the most well-known Observability and monitoring tools. Even though they share many features, they have several differences that might make you choose one over the other. Dynatrace is great for comprehensive system performance monitoring. It covers everything from infrastructure and application performance to log management and real user monitoring. AppDynamics, on the other hand, focuses more on application performance and business transactions.

Drowning in data from complex environments? Ditch the reactive approach. Artificial intelligence for IT operations (AIOps) empowers proactive management with comprehensive observability. According to Gartner, IT spending will continue to mount sky-high despite the global economic instability; the IT expenditure is predicted to surge by 8.6% in 2024. Manual monitoring often fails to keep up with the complexity of modern IT environments, leaving critical issues undetected.

Grafana Alloy 1.3 is here! First introduced earlier this year, Alloy is our open source distribution of the OpenTelemetry Collector. It has native pipelines for OpenTelemetry and Prometheus telemetry formats, and it uses the same components, code, and concepts that were previously introduced in Grafana Agent Flow. This new release introduces live debugging, enhancing debugging capabilities across key components, which are the building blocks of Alloy.

ServiceNow is a popular IT service management platform that helps organizations track and manage enterprise-level IT processes, such as on-prem infrastructure management, customer support, and incident response. By using ServiceNow’s configuration management database (CMDB), organizations can easily centralize and manage information about all the IT objects they own in order to track and maintain them more efficiently.

The infrastructure must be “invisible” to the user, but visible to IT strategists to ensure the performance and service levels required by the business, where observability (as part of SRE or site reliability engineering) is essential to understand the internal state of a system based on its external results. For effective observability, there are four key pillars: metrics, events, logs, and traces, which are summarized in the acronym MELT.

Most enjoy the peace of mind cloud backups offer for all the damage the costs can do to their wallets. Microsoft Azure offers Azure Backup service to safely backup your data on Microsoft Azure cloud, allowing you to store Azure VMs and even on-premise machines and workloads. But Azure prices can be confusing, and Azure Backup is no different. To best understand how much you’re paying and why you’re paying that much, read on! Source: Azure.

“How is my app performing?” is one of the most common, yet hardest questions to answer. There are myriad ways to measure this, like error rate, average response time, and so on. Enter the Application Performance Index (aka Apdex), a single metric that attempts to answer, “Are my application’s users happy?” Apdex is an open standard that was formalized in 2005 by the Apdex Alliance.

Cribl Search is agnostic, allowing administrators to now query Snowflake datasets as they can dozens of other Lakes, Stores, Systems & Platforms. The data that IT and security teams rely on to monitor network operations continues to grow at a 28% CAGR, and it’s stressing many organizations’ ability to analyze all this data effectively. In fact, in some cases, less than 2% of it ever gets looked at.

The Batch Processor in the OpenTelemetry project is used in both the SDKs and the OpenTelemetry Collector. What exactly is this processor, and what does it do? And, how can you use the OTLP Logs, OTLP Metrics, and OTLP Traces Functions in Cribl Stream and Cribl Edge to build batches like a boss?