Dynatrace
MAY 8, 2023
With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?
Dynatrace
FEBRUARY 12, 2024
When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.
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Dynatrace
OCTOBER 10, 2023
Planned effort Site Reliability Engineering (SRE) effort and time allocation planning typically fall into two domains: Operations Management (50%) Operations Management includes on-call responsibilities, post-mortem assessments, addressing other interruptions, and buffer time. These practices are commonly known as “ chaos engineering. ”
Dynatrace
APRIL 21, 2022
While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.
High Scalability
JANUARY 4, 2019
Database-as-a-Service (DBaaS) is quickly gaining in popularity across the tech world. These software platform solutions helps users easily manage their database operations without having to really understand any of the abstractions. This post was written by Wendy Dessler of The Blog Frog. Outsourced Security and Administration.
Dynatrace
MARCH 20, 2024
External dependencies Many applications rely on external services, such as databases, APIs, or third-party services. For instance, deploying a new version of a web application that introduces inefficient database queries could lead to increased response times and decreased user satisfaction.
O'Reilly
OCTOBER 19, 2021
This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. Can’t we just fold it into existing DevOps best practices?
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