Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

NOVEMBER 28, 2023

Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess software performance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.

Traffic 266

Traffic Best Practices Strategy Engineering 266

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? Enter causal AI.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

SEPTEMBER 30, 2021

It also ensures your team shares common fluency in cloud best practices, which improves collaboration and helps your company achieve a higher standard of performance. This certification is perfect for anyone who needs to learn cloud fundamentals and best practices. Cloud practitioner. Data analytics. Machine learning.

AWS 215

AWS Best Practices Analytics Cloud 215

Percona

DECEMBER 27, 2023

At Percona, we observe a growing trend among companies utilizing Kubernetes as a means to offer services to their teams, fostering expedited software delivery and driving business growth. However, 17% of organizations operate security separately from DevOps, lacking any DevSecOps initiatives.

Cloud 76

Cloud Open Source Strategy Best Practices 76

Abhishek Tiwari

JULY 22, 2023

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. In traditional software development practices, compliance checks often occur late in the development lifecycle, closer to deployment.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 252

AWS Efficiency Azure Cloud 252

Tasktop

JANUARY 9, 2020

Turning software delivery data into IT and business intelligence is nothing new; it’s the 21st-century gold rush. Yet getting to this level of maturity is a herculean undertaking, especially for IT organizations looking to obtain accurate cross-tool reporting that provides them with business-critical insights into their software delivery.

Software 59

Software Software Metrics Database 59

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 104

Availability Database Open Source Hardware 104

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. So, What Exactly is Terraform?‍Terraform

Open Source 52

Open Source DevOps AWS Azure 52

The Morning Paper

FEBRUARY 18, 2020

The key insight this led to is that ML models are software , derived from data. ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Many of the software engineering discipline and controls need to be brought over into an ML context.

Government 95

Government Software Engineering Storage Database 95

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

O'Reilly

NOVEMBER 12, 2019

We suspect this points to a general drift toward software teams taking more responsibility for infrastructure, and increasingly, enabled by serverless options. As noted earlier, the majority of survey respondents are software engineers. Industries of survey respondents. The third stand-out issue was “no server maintenance.”

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Brendan Gregg

APRIL 30, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years.

DevOps 40

DevOps Network Best Practices Programming 40

Tasktop

DECEMBER 18, 2019

But it is time for us to move beyond manufacturing analogies, and to craft a new narrative for this next phase of the Age of Software. What makes The Unicorn Project so unique is the way that it unapologetically dives into the depths of software delivery. This is another place where the book will be a great tool for your journey.

Software Architecture 45

Software Architecture Architecture Metrics Software 45