Tasktop

JANUARY 5, 2022

Flow Metrics tell a story about the speed, throughput and efficiency of a value stream. The data itself is drawn from the work management systems themselves, like Jira, Azure DevOps and ServiceNow. Be content with the speed of completed work . Click here to claim your free calendar! Wait, there’s more!

Metrics 98

Metrics Speed Analytics Azure 98

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. The need for speed has never been more urgent in today’s hyper-digital age. Digital transformation with AWS: Making it real with AIOps.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

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

Dynatrace

SEPTEMBER 8, 2022

Some time ago, we announced monitoring coverage for all Azure Monitor services , as well as the ability to purchase the Dynatrace Software Intelligence Platform through the Microsoft Azure Marketplace. Now, Dynatrace and Microsoft have further deepened their partnership by making Dynatrace for Azure generally available.

Azure 230

Azure Cloud Virtualization Metrics 230

Dynatrace

NOVEMBER 2, 2020

As organizations shift to hybrid cloud environments, there are two platforms really dominating the market and Microsoft Azure is the fastest growing with adoption rates skyrocketing. Let’s dig into what Azure is all about and some of the use cases. What is Azure? What can Azure do for my business? diverse use cases from?

Azure 247

Azure Serverless Innovation Cloud 247

Tasktop

APRIL 20, 2021

In this release, we also focused a lot on improving the speed and efficiency of artifact processing and change detection. 590) and Sharepoint (Azure AD). Grasp severity at a glance: A colored background badge indicates the type of event or error code. Optimized Performance in Large Scale Implementations.

Design 52

Design Healthcare Azure Government 52

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. What is the Azure Well-Architected Framework?

Azure 187

Azure Monitoring Virtualization Metrics 187

Randon ASCII

JULY 11, 2022

A bug had been filed suggesting that Chrome download speeds (such as those measured by speedtest.net ) seemed to be affected by some anti-virus software. By doing a speedtest run that got more than 2 Gbps (download and upload) I’d proved that Chrome was not intrinsically limiting download speeds. The CPU power wasted is impressive.

Cache 105

Cache Energy Google Processing 105

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

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

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

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. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 240

Engineering Development DevOps Infrastructure 240

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. Approximate query support. Implementation.

Big Data 57

Big Data Analytics Latency Azure 57

VoltDB

JUNE 1, 2017

5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. Some of these will serve large urban areas and will be sensitive to efficiency. The “Public Private Cloud” folks. Where VoltDB fits. Very Well!”

Hardware 56

Hardware Latency Virtualization Cloud 56

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. If your typical queries only target a specific use case, business unit, or production stage, ensuring they don’t include unrelated buckets helps maintain efficiency and relevance. Custom buckets unlock different retention periods.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

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 208

AWS Artificial Intelligence Analytics Cloud 208

Scalegrid

MARCH 14, 2024

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. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JULY 19, 2021

Since big data analyses can take minutes or hours to run, they are typically used to look for big trends, like the fuel efficiency and on-time delivery rate of a trucking fleet, instead of emerging issues that need immediate attention. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Analytics Big Data Architecture 78

VoltDB

JUNE 1, 2017

5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. Some of these will serve large urban areas and will be sensitive to efficiency. The “Public Private Cloud” folks. Where VoltDB fits. Very Well!”

Hardware 40

Hardware Latency Virtualization Cloud 40

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 208

Artificial Intelligence Analytics Storage Government 208

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. So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.”

Engineering 181

Engineering Development Infrastructure Cloud 181

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. The public cloud provides flexibility and cost efficiency through utilizing a provider’s resources. These include on-premises data centers which offer specific business benefits.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR).

Best Practices 242

Best Practices Analytics Artificial Intelligence Infrastructure 242

Tasktop

MARCH 5, 2020

This article will introduce you to six more ServiceNow integration patterns that are helping organizations to improve software delivery efficiency and business outcomes. . #2 And here’s another example of this pattern in ServiceNow, Azure DevOps (VSTS) and Micro Focus ALM: . #3 Connect your toolchain. Accelerate end-to-end Flow.

Efficiency 52

Efficiency Software Software Azure 52

Dynatrace

AUGUST 2, 2021

Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. The post What’s the hype with hyperscale?

Azure 262

Azure Cloud Google AWS 262

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. billion in 2020 to $4.1 Accelerated innovation.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

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’s version awareness allows you to stay in control despite speeding up application delivery.

Cloud 167

Cloud DevOps Speed Azure 167

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. Stateless whenever possible. The post What is cloud-native architecture?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 This offers not just an audit train but an “audit trail on steroids.”‍A

Open Source 52

Open Source DevOps AWS Azure 52

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

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Speeds up development. It also protects your development infrastructure at scale with enterprise-grade security. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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 Real-time monitoring can help detect any anomalies as soon as they happen, thereby increasing the speed at which problems can be diagnosed and solved. ‍It Hold that thought.

Open Source 40

Open Source DevOps AWS Azure 40

Particular Software

JUNE 1, 2020

One of our recent clients—a government agency—was already using NServiceBus and wanted to migrate their system to Azure. The steps we took to get NServiceBus ready to run in Azure may be helpful to you as you map your own cloud moves. The natural replacement for MSMQ in Azure is Azure Service Bus.

Cloud 52

Cloud Transportation Azure Government 52

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. This is more efficient than $regex but needs you to prepare in advance by adding text indexes to your data sets. Based on this, you can create an index that supports them.

Database 81

Database Servers Storage Strategy 81

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 102

Metrics Efficiency Monitoring Azure 102

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Sign up Now.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59