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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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Ready-to-Use High Availability Architectures for MySQL and PostgreSQL

Percona

When it comes to access to their applications, users demand instant, reliable, and secure interactions — and that means databases must be highly available. With database high availability (HA), services are largely uninterrupted, and end users are largely satisfied. The obvious answer is this: To achieve high availability.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Kubernetes in the wild report 2023

Dynatrace

That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Specifically, they provide asynchronous communications within microservices architectures and high-throughput distributed systems. This corresponds to an annual growth rate of +55%.

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Five observability predictions for 2025

Dynatrace

In healthcare , observability could predict system slowdowns during critical periods, ensuring seamless patient care. By predicting and resolving issues before they impact operations, organizations can ensure service availability, minimize downtime, and reduce operational overhead.

Energy 241
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New analytics capabilities for messaging system-related anomalies

Dynatrace

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. – DevOps Engineer, large healthcare company. You can easily switch between the available metrics as necessary, apply different aggregation functions, or define metric-specific alerts.

Analytics 246