Dynatrace

NOVEMBER 11, 2021

According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Such a solution does more than provide charts and graphs of system behavior, leaving teams to guess the answer. Data confirms Aggarwal’s conclusions.

AWS 208

AWS Cloud Lambda Azure 208

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Originally created by Google, Kubernetes was donated to the CNCF as an open source project.

Infrastructure 181

Infrastructure Open Source Operating System Cloud 181

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 257

Cloud Azure Analytics AWS 257

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Government Innovation 130

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 109

Performance Latency Cache Virtualization 109

cdemi

FEBRUARY 20, 2017

Serverless systems are still in their infancy. Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. On Public Clouds: Microsoft: Azure Functions. Google: Google Cloud Functions.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Many organizations that have taken on DevOps methodologies still struggle with efficiency given tool fragmentation. What is cloud migration?

AWS 224

AWS Lambda Artificial Intelligence Serverless 224

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 242

Serverless Efficiency Lambda Azure 242

Randon ASCII

JULY 11, 2022

The best part about blogging is using a Google search to summon your previous research. This table told me that if I’m spending 16% of a core on page faults then I’m probably also spending – hidden in the System process – about 13.7% The System process (olive color) is doing nothing except zeroing the same memory. I was shocked.

Cache 105

Cache Energy Google Processing 105

Tasktop

JANUARY 5, 2022

This is by no means a unique phenomenon: Any marketing expert could tell you, for example, how Google Analytics can paint a very different picture depending on the selected date range. . Flow Metrics tell a story about the speed, throughput and efficiency of a value stream. Meaning, your true Flow Time is not as rosy as you think. .

Metrics 98

Metrics Speed Analytics Azure 98

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

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. OPA can be integrated with a wide range of tools and systems, making it highly versatile. Conftest : Conftest is a tool designed to enforce policies on configuration files.

AWS 52

AWS Best Practices Infrastructure Traffic 52

The Morning Paper

SEPTEMBER 8, 2019

We have implemented support for query time sampling in production big-data clusters at Microsoft: these clusters consist of tens of thousands of multi-core, multi-disk servers and are used by developers from many different businesses including Bing, Azure, and Windows. ICDE’16 (PowerDrill is a Google internal system).

Big Data 57

Big Data Analytics Latency Azure 57

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. These containers are software packages that include all the relevant dependencies needed to run software on any system. million in 2020. Instead, enterprises manage individual containers on virtual machines (VMs).

Serverless 215

Serverless Azure Hardware Transportation 215

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. What is Docker?

Open Source 296

Open Source DevOps Traffic Cloud 296

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Some examples include Amazon, Microsoft, and Google. Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations.

Azure 261

Azure Cloud Google AWS 261

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”

Architecture 243

Architecture Software Software Development 243

Scalegrid

APRIL 5, 2024

This method involves splitting data over various nodes to improve the database’s efficiency. Similar to how each lane on the highway handles certain vehicles for more efficient travel, in Redis sharding, different nodes manage various pieces of data through consistent hashing. Visualize it as a relay race.

Scalability 130

Scalability Java Efficiency Database 130

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. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

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 DevOps Ecommerce 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 DevOps Ecommerce Cloud 130

Dynatrace

JULY 7, 2022

Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies. In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. The resulting product is large, uniform, and rigid.

Architecture 195

Architecture Serverless Azure Programming 195

Dynatrace

MAY 17, 2019

Distributed tracing is used to understand control flow within distributed systems. Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Dynatrace news. What is distributed tracing?

Azure 148

Azure Open Source Transportation IoT 148

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. The following best practices aren’t just about enhancing the overall performance of a log management system. Separate systems can also silo teams and hamper mean time to incident (MTTI) discovery.

Best Practices 238

Best Practices Analytics Artificial Intelligence Infrastructure 238

Dynatrace

MAY 31, 2021

Although Kubernetes simplifies application development while increasing resource utilization, it is a complex system that presents its own challenges. Containers and microservices: A revolution in the architecture of distributed systems. How do you make this system resilient and fault-tolerant? How do you make it scalable?

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

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. Declarative APIs. The post What is cloud-native architecture?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Scalegrid

MAY 13, 2020

The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. This allows Greenplum to distribute the load between their different segments and use all of the system’s resources parallely to process a query.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 8, 2019

And the last thing you want to do with synthetic is introduce false positives (the bane of all synthetic testing) into the system, and yet this was happening too often. Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers.

Cloud 200

Cloud Hardware Testing Logistics 200

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Because it’s based on RHEL CoreOS, OpenShift can also update the underlying operating system the nodes are running on. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dotcom-Montior

OCTOBER 19, 2021

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Kubernetes. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

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

Dynatrace

APRIL 22, 2022

After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. Once the accounts are set up in Dynatrace, the system queries Amazon CloudWatch for new metrics every five minutes. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 164

Cloud Lambda Serverless AWS 164

Dotcom-Montior

FEBRUARY 19, 2022

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Kubernetes. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52