Dynatrace

DECEMBER 8, 2022

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services.

DevOps 193

DevOps Engineering Testing Open Source 193

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 345

Open Source Java Operating System Programming 345

Dynatrace

NOVEMBER 3, 2022

These containers are software packages that include all the relevant dependencies needed to run software on any system. Instead, enterprises manage individual containers on virtual machines (VMs). Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization.

Serverless 219

Serverless Azure Hardware Transportation 219

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Traces help find the flow of a request through a distributed system. Dynatrace VMware and virtualization documentation .

Analytics 243

Analytics Infrastructure AWS Operating System 243

Dynatrace

JULY 7, 2022

Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies. Because monolithic software systems employ one large codebase repository, the service becomes a massive piece of software that is labor-intensive to manage.

Architecture 203

Architecture Serverless Azure Programming 203

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. How does function as a service work?

Development 253

Development Serverless Best Practices Lambda 253

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. What is Google Cloud Functions?

Google 224

Google Cloud Serverless Azure 224

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JULY 13, 2020

Containers and Microservices: R evolution in the architecture of distributed systems . ? refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? How do you make this system resilient and fault-tolerant? Cloud-native?

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

Containers and Microservices: R evolution in the architecture of distributed systems . ? refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? How do you make this system resilient and fault-tolerant? Cloud-native?

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

APRIL 15, 2022

Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments. In the past, severe database issues seriously hurt system performance, causing delayed shipping times for prescriptions. “We have a rich metric expression language.

Cloud 179

Cloud Infrastructure Innovation Monitoring 179

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

AUGUST 24, 2020

Metrics to find out how the behavior of a system has changed over time . Traces help find the flow of a request through a distributed system . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Dynatrace VMware and virtualization documentation .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

JULY 10, 2019

What Dynatrace deployment is the best fit for your technology stack, and is the OneAgent compatible with your system? Virtualization can be a key player in your process’ performance, and Dynatrace has built-in integrations to bring metrics about the Cloud Infrastructure into your Dynatrace environment. OneAgent & cloud metrics.

Java 139

Java Best Practices Metrics Azure 139

Dynatrace

NOVEMBER 12, 2021

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. They don’t have visibility or “observability” in their systems. What’s the root cause?

Cloud 174

Cloud Monitoring Network Azure 174

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started ‍AutomationCode-based systems also shine in automation.

Open Source 52

Open Source DevOps AWS Azure 52

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. The top certification was for AWS (3.9%

Azure 145

Azure Social Media Programming AWS 145

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. WordPress is a content management system (CMS) used to build and manage websites and web applications.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

IO River

NOVEMBER 2, 2023

In fact, Amazon Web Services (AWS) paved the way with its service, CloudFormation, which introduced the concept of Infrastructure as Code (IaC). Taking inspiration from AWS's CloudFormation, HashiCorp introduced Terraform with a broader vision. This level of granularity is not found in UI-managed systems.

Open Source 40

Open Source DevOps AWS Azure 40

The Morning Paper

MARCH 8, 2020

have altered the many assumptions that guided the design and optimization of the Snowflake system. Traditional data warehouse systems are largely based on shared-nothing designs: persistent data is partitioned across a set of nodes, each responsible for its local data. S3 on AWS). From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. These capabilities extend into many areas.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. But since this article is about connecting an application running on the server with AWS S3, we don’t consider this solution. Leonardo Losoviz. 2018-11-08T12:30:30+01:00. 2019-04-29T18:34:58+00:00. Creating The Bucket.

AWS 44

AWS Servers Storage Cloud 44

Testsigma

JUNE 23, 2021

Testsigma offers seamless integrations with a wide range of CI/CD tools such as Jenkins, Azure DevOps, AWS DevOps, AWS Lambda, CircleCI CI/CD, Bamboo CI/CD, Travis CI/CD, CodeShip CI/CD. Testsigma Labs is a recommended option as it comes with pre-configured systems having optimal settings for the test environments.

Speed 52

Speed Software Software DevOps 52

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. No more having to worry about maintenance, patching, or scaling.

Serverless 57

Serverless Monitoring Lambda Latency 57

Percona

APRIL 12, 2023

Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. They came up with a horizontally scalable NoSQL database. Is MongoDB free for commercial use? Is MongoDB an open source NoSQL database?

Open Source 86

Open Source Programming Database Servers 86

Adrian Cockcroft

APRIL 5, 2023

The usual technique for modeling fuzzy systems is Monte Carlo analysis, which computes with distributions rather than precise values. Energy data can be obtained from power delivery systems in datacenters or from intelligent plugs or power strips. At the one minute granularity security concerns are minimized.

Energy 52

Energy Metrics Cloud Operating System 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

Adrian Cockcroft

NOVEMBER 13, 2023

However if you have a containerized workload that you are measuring with Kepler , or a cloud instance based workload that is running in virtual machines, you measure your carbon footprint based on how many and how big the containers and instances are, and how busy their CPUs are. they are never really idle. they are never really idle.

Energy 52

Energy Cloud Traffic Transportation 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

O'Reilly

FEBRUARY 18, 2020

there’s a Python library for virtually anything a developer or data scientist might need to do. Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. DevOps aims to produce programmers who can work competently in each of the layers in a system “ stack.”

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Technical leads and architects (about 11%) are next, followed by software and systems architects (9+%). Amazon and AWS Ascendant.

Cloud 141

Cloud Serverless AWS Architecture 141

O'Reilly

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? While the number could be higher, we’re glad that our users recognize that familiarity with AI and the way AI systems behave (or misbehave) is essential. But they may back off on AI development.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108