Remove Latency Remove Scalability Remove Software Engineering
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

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Designing Instagram

High Scalability

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points.

Design 334
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SRE vs DevOps: What you need to know

Dynatrace

SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Reduced latency. Investing in automation and tooling to avoid toil. SRE vs DevOps?

DevOps 268
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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. For more about this ongoing conversation, see A guide to event-driven SRE-inspired DevOps.

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Site reliability engineering: 5 things to you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. For more about this ongoing conversation, see A guide to event-driven SRE-inspired DevOps.

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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. We started seeing increased response latencies and leader servers running at dangerously high utilization.

Cache 233
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Automated observability, security, and reliability at scale

Dynatrace

To handle this challenge, enterprises need to automate and streamline the onboarding and lifecycle of tool configurations in the software development processes, including aspects of observability, security, alerting, and remediation. Development teams must set up tailored configurations for each tool and component they’re responsible for.