Remove Course Remove Efficiency Remove Performance Remove Processing
article thumbnail

Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Addressing security requirements.

Analytics 191
article thumbnail

PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. A PUE of 1.0

Cloud 205
article thumbnail

Bending pause times to your will with Generational ZGC

The Netflix TechBlog

The consistency in request rates, request patterns, response time and allocation rates we see in many of our services certainly help ZGC, but we’ve found it’s equally capable of handling less consistent workloads (with exceptions of course; more on that below). Reference processing is also only performed in major collections with ZGC.

Latency 228
article thumbnail

Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

In the rest of the blog I walk you through the steps that allows our teams to identify a “memory hungry” Jenkins plugin and how the removal of this no longer needed plugin resulted in an overall 3x improvement of Jenkins performance. As a negative side effect, the team ran into a JVM bug which they could workaround though.

Java 253
article thumbnail

Microsoft Azure digital transformation: Embracing the power of cloud technology with next-gen observability

Dynatrace

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. This creates a billing process that is simplified and straightforward.

Azure 169
article thumbnail

Automate your work with unified observability and custom solutions

Dynatrace

Of course, development teams need to understand how their code behaves in production and whether any issues need to be fixed. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 216