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. Issue tracking system to manage issues, trigger workflows, and track code changes.

DevOps 193

DevOps Engineering Testing Open Source 193

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Support virtual machines and containers. Optimize critical applications’ performance.

Infrastructure 184

Infrastructure Cloud Azure AWS 184

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

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

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles.

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

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? Limited visibility.

Development 253

Development Serverless Best Practices Lambda 253

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

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

MAY 31, 2021

Although Kubernetes simplifies application development while increasing resource utilization, it is a complex system that presents its own challenges. It automates complex tasks during the container’s life cycle, such as provisioning, deployment, networking, scaling, load balancing, and more. Who manages the networking aspects?

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

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

Scalegrid

OCTOBER 2, 2019

October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. Redis Cloud Gets Easier with Fully Managed Hosting on Microsoft Azure Click To Tweet. PALO ALTO, Calif.,

Azure 37

Azure Cloud Open Source Virtualization 37

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

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. . ? Who manage s the networking aspects? AKS (Microsoft Azure) .

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. . ? Who manage s the networking aspects? AKS (Microsoft Azure) .

Google 130

Google Ecommerce DevOps Cloud 130

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

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

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

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

High Scalability

OCTOBER 3, 2019

ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.

Azure 23

Azure Cloud Open Source Cache 23

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

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. From shared-nothing to disaggregation. Workload characteristics.

Storage 112

Storage Engineering Cache Serverless 112

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. Then came the coup de grace — the aforementioned stack-invasive SSPL.

Open Source 86

Open Source Programming Database Servers 86

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

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A This level of granularity is not found in UI-managed systems. AutomationCode-based systems also shine in automation. Hold that thought.

Open Source 40

Open Source DevOps AWS Azure 40

Randon ASCII

JULY 11, 2022

I’d been testing on a virtual machine in a data center that I had access to, purely because this machine has an internet connection that runs at over 2 Gbps. But I’d also recorded an ETW trace to understand where CPU time in the Network Service utility process was going, and I’d noticed some time being spent in ntoskrnl.exe!KiPageFault:

Cache 105

Cache Energy Google Processing 105

Particular Software

DECEMBER 9, 2019

In an era before virtualized infrastructure made allocating additional server resources much easier, Public102 became somewhat of a "junk drawer" server. Unfortunately, the network operations had a cruel surprise for us. This maxim applies just as well to servers and networks as it does to the entirety of existence.

Wireless 52

Wireless DevOps Infrastructure Network 52

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? If temperature-sensitive cargo in a long haul truck is about to be impacted by an erratic refrigeration system with known erratic behavior and repair history, the driver needs to be informed immediately. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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. The energy model in use should be reported as a key/value in the data feed.

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.

Hardware 56

Hardware Latency Virtualization Cloud 56

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.

Hardware 40

Hardware Latency Virtualization Cloud 40

SQL Server According to Bob

JULY 13, 2016

And the Operating System environment for Windows Server has become more robust but has introduced more features and complexity. So the initial time to run this all depends on your network speed. Here is what it looked like on my system. So now there are more choices to make when installing SQL Server. One other important note.

Servers 40

Servers Media Engineering Virtualization 40

Smashing Magazine

NOVEMBER 8, 2018

Note: It makes sense to use S3 as the cloud object storage solution only if we also use Amazon’s service for virtual servers on the cloud, EC2 , for running the application. Otherwise, our site will suffer an overhead from data traveling among different companies’ networks. Creating The Bucket.

AWS 44

AWS Servers Storage Cloud 44

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+%). Role of survey respondents.

Cloud 141

Cloud Serverless AWS Architecture 141

O'Reilly

NOVEMBER 28, 2023

The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal. 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. Finally, the Business So what’s the bottom line?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108