Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Solving for SR.

Engineering 176

Engineering DevOps Government Latency 176

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Particular Software

NOVEMBER 2, 2020

AWS Lambda is Amazon’s serverless technology for running your code in the cloud with zero administration. You can run code for just about anything and Amazon takes care of running and scaling your code with high availability. You only pay for the compute time you consume. As foundations go, this is as strong as bedrock.

Lambda 52

Lambda AWS Serverless Programming 52

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 226

Cloud Serverless Hardware Operating System 226

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 250

Development Serverless Best Practices Lambda 250

The Morning Paper

MARCH 1, 2020

Firecracker: lightweight virtualisation for serverless applications , Agache et al., We looked at a couple of papers that had pre-prints available last week, today we’ll be looking at one of the most anticipated papers of this year’s crop: Amazon’s Firecracker. NSDI’20. The design of Firecracker.

Serverless 101

Serverless Virtualization Lambda AWS 101

Dynatrace

JUNE 8, 2022

Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications. Observability in the cloud can be hard to achieve.

Azure 183

Azure Performance Infrastructure Cloud 183

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms. So applications don’t have to wrestle over shared resources during runtime. Service mesh.

Architecture 200

Architecture Serverless Azure Programming 200

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. Operational excellence. Performance efficiency.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. Treating these different processes as code will ensure that best practices are followed. with more being added continually.

Code 109

Code Infrastructure DevOps Serverless 109