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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 246
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Database monitoring. This ensures the database queries are performant, while also identifying host problems. Website monitoring.

Cloud 295
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. According to a recent survey, even among organizations that have shifted left, 75% of C-suite executives say security challenges limit their ability to innovate.

Cloud 246
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Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Dynatrace news.

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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 114
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Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple? SKUDB: SKU catalog data was migrated from the metadata configuration files to a relational database.

Mobile 218