Dynatrace

DECEMBER 10, 2020

During the recent pandemic, organizations that lack processes and systems to scale and adapt to remote workforces and increased online shopping are feeling the pressure even more. Rethinking the process means digital transformation. Different teams have their own siloed monitoring solution.

Strategy 182

Strategy Performance Logistics Monitoring 182

Dynatrace

APRIL 14, 2020

Across the two days, there were sixteen new sessions – delivered for the first time – based on content derived from lab exercises developed and delivered by working with Dynatrace experts and our Partner communicate to showcase Dynatrace’s newest features. True DevOps culture in action! Monitoring. Automation.

AWS 168

AWS Lambda Performance Infrastructure 168

Dynatrace

APRIL 15, 2021

Even the wine industry heavily utilizes monitoring, automation, and AI to produce the drink we all love. Fermentation process: Steve Amos, IT Experience Manager at Vitality spoke about how the health and life insurance market is now busier than ever. The primary theme of the event was transforming faster with automation and AI.

Speed 165

Speed Media Monitoring Engineering 165

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 28, 2020

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

Engineering 195

Engineering Performance Metrics Best Practices 195

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. Similarly, we must also monitor our IT systems so closely that we know when the smallest thing isn’t working as normal.

Metrics 170

Metrics Tuning Programming Systems 170

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. A resilient system continues to operate successfully in the presence of failures.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. A resilient system continues to operate successfully in the presence of failures.

Latency 53

Latency Engineering Systems Hardware 53

Dynatrace

SEPTEMBER 20, 2019

Here’s what we discussed so far: In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization. In doing so, they automate build processes to speed up delivery, and minimize human involvement to prevent error. Green then becomes the new production.

Systems 27

Systems Traffic DevOps Database 27

O'Reilly

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138