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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

The application consists of several microservices that are available as pod-backed services. Information about each of these topics will be available in upcoming announcements. Migration instructions are available in Dynatrace Documentation. The following example drives the point home. Monitoring such an application is easy.

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Achieving High Availability in CI/CD With Observability

DZone

Since most application releases depend on cloud infrastructure, having good continuous integration and continuous delivery (CI/CD) pipelines and end-to-end observability becomes essential for ensuring highly available systems.

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0:

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Mastering Scalability and Performance: A Deep Dive Into Azure Load Balancing Options

DZone

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability.

Azure 287
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. All of these services at a later point want to annotate their objects or entities.

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Optimizing GitHub Access Management for Enterprises: Enhancing Security, Scalability, and Continuity with Jenkins GitHub App Authentication and Load Balancing

DZone

However, such an approach can introduce security vulnerabilities, scalability challenges, and operational risks, particularly when it comes to handling increasing complexity and ensuring high availability. This method helps maintain control and consistency across development environments.

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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

By prioritizing observability, organizations can ensure the availability, performance, and security of business-critical applications. Check out the following webinar to learn how we’re helping organizations by delivering cloud native observability, unlocking greater scalability, speed, and efficiency for their Azure environments.

Cloud 263