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Observability

The latest News and Information on Observabilty for complex systems and related technologies.

Enterprise Observability: The Key to Effective IT Management

Observability has emerged as a distinct approach within the broader scope of IT management, enabling organizations to gain valuable insights into their complex IT ecosystems. By collecting and analyzing data from various sources, observability provides a holistic understanding of system behavior and performance, streamlining troubleshooting and optimization efforts.

Fine-tune observability configurations for all your Azure integrations in one place

Microsoft Azure provides an array of managed services to support many aspects of cloud computing, including application development, workload migration, and data management. To help you monitor the health and performance of these services, Datadog offers integrations with more than 40 Azure services, including Azure Kubernetes Service (AKS), Cosmos DB, and Azure App Services. Each integration provides robust data visualizations, meaningful alerts, and one-click Datadog Agent deployment.

Why Splunk for observability?

How can Splunk bring ITOps- and engineering teams together so that they can deliver exceptional customer experiences? Splunk Observability can help enterprises and organisations solve problems within seconds. It's the only full-stack, analytics-powered and OpenTelemetry-native observability solution. Hear Robbie Baines, Observability Advisor at Splunk tell us more in this video.

Why is Splunk growing rapidly within the observability market?

As organisations are making the move from on-prem to cloud solutions built on microservices architecture, their monitoring has become more complex. To get a more holistic view of their application services a comprehensive observability solution is needed. Splunk Observability strengthens digital resilience by preventing unplanned downtime.

Advantages of an AI-Powered Observability Pipeline

The expenses associated with collecting, storing, indexing, and analyzing data have become a considerable challenge for organizations. This data is growing as fast as 35% a year, multiplying the problems. This surge in data comes with a corresponding rise in infrastructure costs. These costs often force organizations to make decisions about what data they can afford to analyze, which tools they must use, and how and where to store data for long-term retention.

Observability tools and Internal Developer Portals

Observability tools help engineering teams understand the health and behavior of software. But the term “health” in the context of this type of tooling is fairly narrow in scope—pertaining to real-time performance, reliability, and availability. While these are three important metrics to monitor, they’re lagging indicators of bigger issues happening upstream.

New era of observability l Blackfire Continuous Profiler

A new era of observability: introducing Blackfire Continuous Profiler for PHP, Python, Node.js, and Go. Blackfire continuous profiler available to all Production plan customers. After extensive development and refinement, we are proud and excited to announce the immediate availability of our Continuous Profiler for all Production plan customers. This highly anticipated feature is now ready to elevate your application performance monitoring and troubleshooting experience.

Why MSPs Are Choosing Virtana for AIOps and Observability

If you are an MSP, AIOps can be a game changer for your business. By leveraging AI-driven automation, analytics, and insights across your managed IT services portfolio, you can drive operational excellence, improve service quality, and deliver greater value to your clients. But there are many AIOps and observability tools in the market. Here are 13 reasons why many MSPs select Virtana as their AIOps and observability partner of choice.