Remove Event Remove Scalability Remove Software Engineering
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SRE vs DevOps: What you need to know

Dynatrace

The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. Dynatrace news. SRE vs DevOps?

DevOps 268
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Designing Instagram

High Scalability

We have chosen this NoSQL based solution over relational databases as it provides the scalability to have hierarchies which go beyond two levels and extensibility due to the schema-less behavior of NoSQL data storage. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user.

Design 334
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

In order to allow for this mimicking, many systems implement an event handling, where they convert our request into a call to the real service with properties enabled to log when titles are filtered out of their response and why. Conclusion Throughout this series, weve explored the journey of enhancing title launch observability at Netflix.

Traffic 172
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.

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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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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 246
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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.