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

Dynatrace

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks.

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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Latency is the time that it takes a request to be served.

Software 306
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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1

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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

For engineers, instead of whodunit, the question is often “what failed and why?” An engineer can find herself digging through logs, poring over traces, and staring at dozens of dashboards. Edgar provides a powerful and consumable user experience to both engineers and non-engineers alike.

Latency 298
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. We look forward to seeing you there!

AWS 38
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which We needed to increase engineering productivity via distributed request tracing. That is the first question our engineering teams asked us when integrating the tracer library.

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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines. While Cassandra is still the most popular, ScyllaDB is gaining fast as the 7th most popular wide column store according to DB-Engines. In fact, according to ScyllaDB’s performance benchmark report, their 99.9

Big Data 187