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Monitoring Distributed Systems

Dotcom-Montior

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Do you have a web server? Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify.

Systems 74
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Reinventing Performance Testing: New Architectures

Alex Podelko

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. First, we have a shift to centrally managed systems. Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. . – Agile.

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Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

The Netflix TechBlog

Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Instead, the schema gets generated at runtime based on definitions in code.

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The SQL Server Transaction Log, Part 4: Log Records

SQL Performance

Previously I’ve talked about why logging is required and the architecture and circular nature of the log, so now it’s time to look at the real heart of the logging system—the log records themselves. The simplest definition of a log record: it describes a single change to a database. What Are Log Records? Log Record Types.

Servers 94
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Observability vs. monitoring: What’s the difference?

Dynatrace

Organizations are depending more and more on distributed architectures to provide application services. Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Dynatrace news.

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Intro to Redis Sharding

Scalegrid

It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance. The purpose is scaling out distributed systems effectively and offering improved management and performance while processing numerous keys. How Does Redis Sharding Work?

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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments. We’ll see lots of different types of impact versus one definitive impact [from generative AI],” she said. Access to quick, reliable answers fosters rapid learning among teams.