Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? 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.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Declarative APIs.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. VAPO is available in both Microsoft Azure and AWS. It’s supported by the VA Enterprise Cloud (VAEC), a multi-vendor, FedRAMP High environment for hosting VA applications in the cloud.

Monitoring 173

Monitoring Artificial Intelligence Performance Healthcare 173

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. 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.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. The increasing complexity of cloud-native technologies has placed unprecedented pressure on DevOps teams. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 193

DevOps Benchmarking Azure Innovation 193

Dynatrace

FEBRUARY 10, 2021

Today, the speed of software development has become a key business differentiator, but collaboration, continuous improvement, and automation are even more critical to providing unprecedented customer value. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams.

Cloud 160

Cloud DevOps Speed Metrics 160

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. ” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios.

Engineering 230

Engineering Development DevOps Infrastructure 230

Dynatrace

AUGUST 2, 2021

The digital future that’s on the horizon is reliant on the power of the cloud and will require the best technology to match. Hyperscalers are often organizations that provide seamless delivery to build a robust and scalable cloud. Digital transformation : Hyperscale makes it easy to transition and/or grow in the cloud.

Azure 259

Azure Cloud Google AWS 259

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Because of this, it’s critical for organizations to have end-to-end visibility across on-premises, cloud, and hybrid deployments. Dynatrace® Clouds app.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 232

Best Practices Analytics Artificial Intelligence Infrastructure 232

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. A data lakehouse, therefore, enables organizations to get the best of both worlds.

Artificial Intelligence 197

Artificial Intelligence Storage Analytics Government 197

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

JULY 12, 2022

Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We

Innovation 208

Innovation Infrastructure DevOps Azure 208

Scalegrid

MAY 13, 2020

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. So who’s using Greenplum today?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

Performance 224

Performance Analytics Mobile Innovation 224

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. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Particular Software

JUNE 1, 2020

More and more companies are realizing that it’s in their best interest to move to the cloud. As software consultants at Headspring , we’re often tasked with helping organizations migrate their highly complex legacy systems to modern cloud environments. So how do we prepare to take NServiceBus with us?

Cloud 52

Cloud Transportation Azure Government 52

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps? Cloud-based solutions are extremely fast when combined with DevOps.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 29, 2021

Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. 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. Dynatrace news. What is OpenShift? The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

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

Open Source 52

Open Source DevOps AWS Infrastructure 52

IO River

NOVEMBER 2, 2023

Unlike CloudFormation, which was confined to AWS resources, Terraform was designed with a multi-cloud approach in mind. 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

Open Source 40

Open Source DevOps AWS Infrastructure 40

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Dynatrace

JUNE 28, 2019

Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications, as well as cloud platform metrics from AWS, Azure, and Cloud Foundry.

Metrics 101

Metrics Efficiency Monitoring Azure 101

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. However, amidst the drive for speed, ensuring policy compliance is often overlooked, leading to potential security vulnerabilities and compliance risks.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Percona

JULY 26, 2023

As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money. If something happens to the primary node, the replica set will elect a secondary as the new primary.

Database 79

Database Servers Storage Strategy 79

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Autoscaling tiered cloud storage in Anna. Yes please!

Blockchain 46

Blockchain Hardware Google Analytics 46

Testsigma

JULY 31, 2021

Automated testing software can help you execute test cases swiftly and efficiently; from regression testing to offering a wider test coverage — you can achieve plenty with the right tool. Software providers handle maintenance and upgrades on their own; this means you can focus on testing and shipping efficient products.

Mobile 52

Mobile Software Software Testing 52

Tasktop

FEBRUARY 18, 2020

The use of multiple, non-integrated tools creates a fragmented workflow, constraining efficiency and data integrity across the software delivery value stream — and across the rest of your business. You can seamlessly collaborate across multiple Jira instances and versions, like on-prem and cloud instances. .

Azure 59

Azure Software Engineering DevOps Engineering 59

Enprowess

JANUARY 12, 2022

Web development is evolving at a rapid speed with each passing year. And so, it optimizes the page loading speed and reduces the bounce rate. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Serverless architecture is the fastest-growing cloud computing paradigm nowadays.

Blockchain 59

Blockchain IoT Development Serverless 59

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

ScaleOut Software

JULY 19, 2021

Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises. In-memory computing has the speed and scalability needed to generate responses within milliseconds, and it can evaluate and report aggregate trends every few seconds.

IoT 78

IoT Analytics Big Data Architecture 78

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Abhishek Tiwari

NOVEMBER 3, 2018

Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines. There is hardly any innovation from traditional CMS vendors.

Systems 63

Systems Cache Website Network 63