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Catching up with OpenTelemetry in 2025

Dynatrace

In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. Second, it enables efficient and effective correlation and comparison of data between various sources. In 2025, we expect to see the first releases, so youll be able to test out this innovative technology.

Tuning 310
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Stop Being Afraid of Databases

DZone

We want developers to be able to work efficiently while taking ownership of their databases. Do Not Wait With Checks Teams aim to maintain continuous database reliability, focusing on ensuring their designs perform well in production, scale effectively, and allow for safe code deployments. Lets explore how.

Database 223
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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246
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Efficient SLO event integration powers successful AIOps

Dynatrace

Error budget burn rate = Error Rate / (1 – Target) Best practices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO. Data Explorer “test your Metric Expression” for info result coming from the above metric. See the following example with BurnRate formula for Failure rate event.

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Software Testing: Essential 4 Levels

DZone

The goal of Levels of Testing is to make software testing more structured and efficient, as well as to make it easier to identify all available test cases and test scenarios at a given level. All of these steps go through the software testing process's tiers of testing.

Software 246
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251
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Hawkins: Diving into the Reasoning Behind our Design System

The Netflix TechBlog

Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.

Design 236