The webinar included a live demonstration of how our eG Enterprise solution provides an end-to-end view of the Citrix deployment including the Citrix ADCs, Delivery Controllers, License servers, Virtual App servers, Virtual Desktops, and other Citrix tiers including WEM, AppLayering, and others. Citrix Cloud is also supported.
As the complexity of software systems explodes, so does the amount of data that gets generated by instrumenting these systems. This poses a problem for our users — especially those who are in charge of observability teams and observability platforms at large enterprises. They have to strike the right balance between cost management and giving teams the freedom to instrument whatever they want. Often observability leaders are supporting dozens of teams that are using hundreds of dashboards.
Performance is not something you should compromise on, and it's important to have a healthy development process that improves as your application grows. If your PHP application is not super-fast, it will be much harder to scale and maintain. You need to identify errors in the early stage to fix them as soon as possible. And if you don’t know where your bottlenecks are, you can’t fix them.
This blog series is focused on observability into Kafka based applications. In the previous blogs, we discussed the key performance metrics to monitor different Kafka components in "Monitoring Kafka Performance with Splunk" and how to collect performance metrics using OpenTelemetry in "Collecting Kafka Performance Metrics with OpenTelemetry." In this blog, we'll cover how to enable distributed tracing for Kafka clients with OpenTelemetry and Splunk APM.
The rise of public cloud services has enabled businesses to innovate faster, scale effortlessly, and adopt more advanced technologies easier than ever before. However, there’s a dark side to using public cloud services: complexity and cost. Public cloud services can scale to handle almost any workload, but in doing so, they can quickly generate unpredictable costs for your business.
Though invisible to most users, APIs are the backbone of modern web applications. Developers love them because they facilitate complex integrations between systems and services. The business loves them because integrating disparate systems to create new products and services drives innovation and growth. The challenge with this transformative connectivity is the dependencies that exist between systems. API failure can result in performance degradation, data anomalies, or even system-wide outages.
The ability for security teams to integrate threat data into their operations substantially helps their organization identify potentially malicious endpoint and network events using indicators identified by other threat research teams. In this blog, we’ll cover how to ingest threat data with the Threat Intel Filebeat module. In future blog posts, we'll cover enriching threat data with the Threat ECS fieldset and operationalizing threat data with Elastic Security.
Modern software services are expected to be highly available, and running a service with minimal interruptions requires a certain amount of reliability-focused engineering work. At the same time, teams also need to build new features and improve existing ones, so that users are delighted and don’t churn.
