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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. Recovery time of the latency p90.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 196
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Automated observability, security, and reliability at scale

Dynatrace

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming. You can read all about it in our Configuration as Code documentation.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Meson was based on a single leader architecture with high availability. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases. Figure 1 shows the high-level architecture.

Java 202
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Sponsored Post: Pinecone, Kinsta, Bridgecrew, IP2Location, StackHawk, InterviewCamp.io, Educative, Stream, Fauna, Triplebyte

High Scalability

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. They also do live system design discussions every week.

Education 100
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Sponsored Post: Wynter, Pinecone, Kinsta, Bridgecrew, IP2Location, StackHawk, InterviewCamp.io, Educative, Stream, Fauna, Triplebyte

High Scalability

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. They also do live system design discussions every week.

Education 100
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. Please share your experience by adding your comments below and stay tuned for more on data lineage at Netflix in the follow up blog posts. .