Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. That’s why good communication between SREs and DevOps teams is important. More than one in seven outages cost more than $1 million. Make SLOs realistic.

Best Practices 221

Best Practices DevOps Latency Metrics 221

Dynatrace

DECEMBER 27, 2022

SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. Every team involved must agree for an SLO to be practical and applicable. In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment.

Software 262

Software Software Benchmarking Latency 262

Dynatrace

FEBRUARY 10, 2023

Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. DevOps metrics and digital experience data are critical to this. That’s where a data lakehouse can help.

Efficiency 274

Efficiency Performance Analytics DevOps 274

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Dynatrace news. A world of misunderstandings. Application end-to-end component view.

Automotive 269

Automotive Latency Architecture Azure 269

Dynatrace

AUGUST 25, 2023

If you’re new to SLOs and want to learn more about them, how they’re used, and best practices, see the additional resources listed at the end of this article. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions.

Performance 173

Performance Latency Traffic Metrics 173