Remove Architecture Remove Healthcare Remove Innovation Remove Processing
article thumbnail

Four observability trends IT leaders should have on the radar in 2023

Dynatrace

Just as the world began to emerge from the immediate effects of an unprecedented global healthcare crisis, it faced yet another emergency. However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back.

article thumbnail

Applying real-world AIOps use cases to your operations

Dynatrace

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 185
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

AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 219
article thumbnail

What Is PostgreSQL Used For?

Percona

Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. Industry-specific uses include: E-commerce: Many e-commerce businesses use PostgreSQL to produce, process, and manage product catalogs, customer data, orders, and transactions.

article thumbnail

Data Engineers of Netflix?—?Interview with Samuel Setegne

The Netflix TechBlog

Many healthcare practitioners had strong hunches and wild theories that were exciting to test against an empirical study. There was not enough scope to explore the distributed and large-scale computing challenges that usually come with big data processing. Furthermore, engineering velocity was often sacrificed owing to rigid processes.

article thumbnail

The Ultimate Guide to Database High Availability

Percona

Failover mechanisms The primary purpose of failover — the automatic process of switching from a failed or offline database server to a standby or backup server — is to ensure user access and functionality of databases without interruption, even if there is a hardware or software failure.

article thumbnail

Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. In addition, Change Healthcare. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift.

AWS 90