Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence 280

Artificial Intelligence Cloud Innovation Strategy 280

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 140

DevOps Software Engineering Infrastructure Open Source 140

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 220

Government DevOps Infrastructure Network 220

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. xMatters Slackbot pulls the on-call database.

Systems 26

Systems Traffic DevOps Database 26

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 173

Strategy Performance Logistics Monitoring 173

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! Automation. Monitoring.

AWS 164

AWS Lambda Performance Infrastructure 164

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Cost optimization.

Azure 183

Azure Monitoring Virtualization Metrics 183

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Why cloud-native applications make APM challenging. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Infrastructure 148

Testsigma

JANUARY 6, 2022

Tracking the processes to plan better. During a testing process, you need to track and plan the testing activities such as: Test planning Test scripts writing Test data creation and management Test versioning, review, and approvals Test case scheduling Test reporting. helps in having a clear picture of the testing process.

Testing 52

Testing Internet Internet Testing Tools 52

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 189

Engineering Performance Metrics Best Practices 189

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. The third team is the infrastructure platform team, who deal with datacenter and cloud based resources.

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. The third team is the infrastructure platform team, who deal with datacenter and cloud based resources.

Latency 53

Latency Engineering Systems Hardware 53