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How observability, AI and automation is leading the workload management evolution

Workload management is ubiquitous when it comes to automating critical business processes. With time, workload management as a technology is going through a gradual evolution, from ‘just automation’ to an orchestrator of intelligent automation. This necessitates a layer of observability and intelligence to facilitate the move from workload automation to workload management.

Comprehensive Observability: Key User Experience Metrics to Monitor in Cloud Environments

As we conclude our three-part series on key observability metrics ScienceLogic monitors, this blog focuses on the analysis and impact of user experience (UX) metrics to shed light on their business impact. Whether it’s an internal business application or a customer-facing platform, a seamless and efficient user experience can significantly impact satisfaction, productivity, and loyalty.

Five core incident response phases for ITOps

Effective IT event management is about more than restoring services. Managing and mitigating threats involves a comprehensive approach with five incident response phases: It’s crucial to take a structured approach to addressing disruptive events. Incident response involves multiple phases to minimize the impact and prevent service outages. An “incident” is any event that disrupts normal operations or threatens your information systems.

Migration Announcement: Transitioning from Legacy Flows to Flows with Trails

We are excited to announce that we will be migrating your Kosli Flows data to Flows with Trails. This transition will unlock access to our latest features, such as the first-class Sonar integration, as well as upcoming ones like environment compliance policies and custom attestation types. Legacy Flows have served us well in the early stages, where they were designed to map the value stream of producing a single software artifact.

DevOps Best Practices to Transform Your Development Process

Businesses are under constant pressure to deliver software faster and more reliably. Yet, the real challenge lies in maintaining quality standards without sacrificing speed. Traditional software development methods often lead to silos between teams, slower release cycles, and more frequent errors. These inefficiencies impact the speed of software delivery, risk system downtime, and customer satisfaction. The solution? Implementing DevOps best practices.

Kafka Security Auditing: Tools and Techniques

Let’s face it—when it comes to security in Kafka, you can’t afford to mess around. With more and more sensitive data streaming through Kafka environments, it’s no surprise that Kafka security auditing has become a crucial part of ensuring both compliance and overall security. But if you’re new to this or feel like your current process needs a tune-up, don’t worry—we’ve got your back.

Trace your applications end to end with Datadog and OpenTelemetry

As teams adopt OpenTelemetry (OTel) to instrument their systems in a vendor-neutral way, they often face a challenge in effectively tracing activity throughout their entire stack, from frontend user interactions to backend services and databases. While OTel enables basic tracing, teams still need a way to access advanced capabilities like continuous profiling to adequately optimize performance and troubleshoot issues in their applications.

Datadog named a Leader in first ever 2024 Gartner Magic Quadrant for Digital Experience Monitoring

We are thrilled to announce that Datadog has been named a Leader in the first ever 2024 Gartner Magic Quadrant for Digital Experience Monitoring. Datadog was positioned the highest in its Ability to Execute. We believe this placement reflects our commitment to being an end-to-end observability platform that brings together all signals from across your tech stack into a unified ecosystem.