Dynatrace

NOVEMBER 7, 2023

Adoption of GitOps practices enables platform provisioning at scale. It enables the execution of configuration actions based on observability insights, such as resource consumption and performance management across all clusters. Monitoring-as-code can also be configured in GitOps fashion. Automation, automation, automation.

Engineering 281

Engineering DevOps Best Practices Infrastructure 281

Dynatrace

FEBRUARY 9, 2022

More recently, teams have begun to apply DevOps best practices to infrastructure automation, giving developers a more active role with GitOps as an operational framework. Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Dynatrace enables software intelligence as code.

Code 224

Code Software Software DevOps 224

Dynatrace

MARCH 11, 2021

Instead of looking at just problems overall, I decided to categorize them based on the severity classification and look at the event data that Dynatrace uses to figure out problems. The data from all environments would provide some kind of collective knowledge that I wanted to base my decisions on. Stay tuned!

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

OCTOBER 17, 2019

Using Everything as Code principles have an extensive amount of benefits, including: Knowledge and clear understanding of the environment: Have complete insight into your infrastructure, configurations, and policies without the need to rely on manually updated documents or network diagrams. Benefits of Everything as Code.

Code 110

Code Infrastructure DevOps Serverless 110

Strategic Tech

FEBRUARY 27, 2021

Self service can be implemented in many ways, using tool’s like Backstage or by taking a GitOps -based approach. They should have access to all of the necessary resources for building applications and gaining the knowledge they need (e.g. Stack Overflow). And it sends totally the wrong message.

Development 98

Development Strategy Infrastructure Metrics 98

The Netflix TechBlog

JULY 26, 2021

Schema Propagation After the Schema Compatibility is checked, Data Mesh Platform will propagate the schema change based on the end user’s intention. Views are built on top of the raw Iceberg tables to retrieve the latest record for every primary key based on the operational timestamp, which indicates when the record is produced in the sink.

Big Data 253

Big Data Government Analytics Processing 253