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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 280
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Designing Instagram

High Scalability

Generating machine learning based personalized recommendations to discover new people, photos, videos, and stories relevant one’s interest. We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters.

Design 334
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank! which is difficult when troubleshooting distributed systems.

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Expanding the Cloud ? Managing Cold Storage with Amazon Glacier

All Things Distributed

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage 122
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Impact of Data locality on DB workloads.

n0derunner

In this video I migrate a Postgres DB running PGbench benchmark. As the DB continues to run on the new host – the Nutanix storage detects the access patterns and “localizes” the data that the DB is accessing. Many different queries are executing in parallel, some hitting RAM cache, some hitting storage.

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The Importance of Selecting the Proper Azure VM Size

SQL Performance

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics.

Azure 76
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Continue reading below ↓ Meet Smashing Online Workshops on front-end & UX , with practical takeaways, live sessions, video recordings and a friendly Q&A. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. More after jump!

Cache 124