Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. For model explainability, they can implement custom regression tests, providing indicators of model reputation and behavior over time.

Cache 212

Cache Azure Infrastructure Monitoring 212

Particular Software

AUGUST 18, 2020

Microsoft Azure Functions provide a simple way to run your code in the Azure Cloud. NServiceBus makes Azure Functions even better. Let’s take a look at how using NServiceBus and Azure Functions together can make your serverless applications even better. We think they go together like milk and cookies.

Azure 52

Azure Serverless Programming Transportation 52

Tasktop

MARCH 18, 2020

Integrating qTest Manager and Azure DevOps allows you to automatically flow requirements and defects between the two tools, creating automated traceability, enhancing cross-team collaboration between developers and QA/test teams, and most importantly, reducing time to resolution. . The Art of Time Efficiency.

Azure 52

Azure DevOps Processing Efficiency 52

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. million in 2020. Managed orchestration. Serverless container services.

Serverless 224

Serverless Azure Hardware Transportation 224

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. 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.

Cloud 203

Cloud Hardware Testing Logistics 203

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

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 2 ServiceNow to Agile Planning & Issue Tracking to Test Management: Improve Ticket Resolution. Connect your toolchain. Accelerate end-to-end Flow.

Efficiency 52

Efficiency Software Software Azure 52

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. Test early and often using multiple methods.

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. Test early and often using multiple methods.

Architecture 246

Architecture Software Software Development 246

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Moreover, by applying causal AI and topological mapping , a unified observability platform includes all the necessary data in context, making troubleshooting significantly more efficient and effective.

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

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 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Testing can be more complicated. Dynatrace news. Common problems with monolithic architecture.

Architecture 209

Architecture Serverless Azure Programming 209

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. Teams can assemble prebuilt components without needing long testing times.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Testlodge

JANUARY 26, 2022

Non-functional testing focuses on user expectations, whereas functional testing is to do with user requirements. Non-functional testing examines how a system operates rather than looking at specific functions or behaviors. Why is Non-Functional Testing necessary? Both functional and non-functional tests are essential.

Testing 74

Testing Open Source Testing Tools Programming 74

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. . But this doesn’t come without problems.

Efficiency 52

Efficiency Software Software Azure 52

Testsigma

JULY 31, 2021

It’s a known fact that automation testing is extremely crucial in maintaining software quality. To secure their quality and to help you deliver delightful experiences to your users and ones that’ll keep your users engaged with your products — testing is essential. Picture credit: Meme generator. Allow us to explain.

Mobile 52

Mobile Software Software Testing 52

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. The value of observability doesn’t stop at IT use cases.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Percona

JUNE 30, 2023

In addition to that: Run up to four pgBackrest repositories Bootstrap the cluster from the existing backup through Custom Resource Azure Blob Storage support Operations Deploying complex topologies in Kubernetes is not possible without affinity and anti-affinity rules. In version 1.x, Will Percona still support v1?

Availability 94

Availability Open Source Azure Hardware 94

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. In production, containers are easy to replicate. This is one of the most important tasks an orchestration platform performs.

Open Source 310

Open Source Traffic DevOps Cloud 310

Dynatrace

FEBRUARY 10, 2021

Broad-scale observability focused on using AI safely drives shorter release cycles, faster delivery, efficiency at scale, tighter collaboration, and higher service levels, resulting in seamless customer experiences. To cut through the noise of observability on such a scale, AI is a prerequisite.

Cloud 174

Cloud DevOps Speed Azure 174

Dynatrace

FEBRUARY 9, 2021

The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. Seamless integration with collaboration software such as Jira, Slack, and Trello boosts team efficiency driving more value with less effort.

Software 147

Software Software Technology Technology 147

Percona

DECEMBER 12, 2022

Percona Distribution for PostgreSQL installs PostgreSQL and complements it with a selection of extensions that enable solving essential practical tasks efficiently. It is a single solution with the best and most critical enterprise components from the MySQL open-source community, designed and tested to work together.

Open Source 62

Open Source Azure Servers Database 62

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience.

Cloud 172

Cloud Traffic Best Practices Strategy 172

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

Dynatrace

JULY 13, 2020

At the start, Docker was mainly use d by developers for testing purpose s , but the main challenge was to manage containers at scale in real-world production environments. . ? AKS (Microsoft Azure) . Why are containers so hot?? . ? S ome of the most popular Kubernetes distributions include: . GKE (Google Cloud Platform) .

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

At the start, Docker was mainly use d by developers for testing purpose s , but the main challenge was to manage containers at scale in real-world production environments. . ? AKS (Microsoft Azure) . Why are containers so hot?? . ? S ome of the most popular Kubernetes distributions include: . GKE (Google Cloud Platform) .

Google 130

Google Ecommerce DevOps Cloud 130

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. Flexible filters for focusing on relevant results.

Metrics 103

Metrics Efficiency Monitoring Azure 103

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. 1 Test Management to Jira: Improve Defect Resolution. 2 Jira to Test Management: Improve Product Quality.

Azure 59

Azure Software Engineering DevOps Engineering 59

Tasktop

APRIL 29, 2020

Each output is unique, requiring the collaboration of a different set of practitioners to design, build and test iterations to continuously meet end-user needs. Studying and continuously monitoring this flow enables manufacturers to identify whether there are impediments to be removed and efficiencies to be gained.

DevOps 69

DevOps Azure Network Efficiency 69

Dynatrace

MAY 31, 2021

At its start in 2013, Docker was mainly used by developers as a sandbox for testing purposes. This virtualization makes it possible to efficiently deploy and securely run a container independently of the hosting infrastructure. Examples include: Azure Kubernetes Service (AKS). What are containers, and why are they so hot?

Virtualization 134

Virtualization DevOps Infrastructure Cloud 134

Percona

JULY 26, 2023

Alternatively, we can choose a version that is too early and not yet tested enough for production use. You may want to take advantage of newly added features, but you should put these through your test process to see if there are any problems that might affect your overall performance before moving into production too.

Database 80

Database Servers Storage Strategy 80

Dotcom-Montior

OCTOBER 19, 2021

It is a general-purpose language, meaning that it has a wide-range of uses, such as the backbone of websites or web applications, automating tasks, or even testing. Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently.

Engineering 86

Engineering Open Source Programming Monitoring 86

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. I eventually managed to get some test results on Windows 11 ( thanks! ) I then did one final test. It looks like this can happen. Case closed. But I noticed something….

Cache 105

Cache Energy Google Processing 105

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 ). . Centralizes the Processes.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Percona

FEBRUARY 24, 2023

Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning. become the responsibility of AWS, GCP, or Azure.

Cloud 119

Cloud Serverless AWS Storage 119

KeyCDN

MARCH 14, 2019

It can be used to decouple your frontend from your backend and improve server efficiency. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Also, now that virtual reality is relatively cheap to produce and access, expect more things like road-testing apps from vehicle manufactures.

Development 101

Development Blockchain Serverless Social Media 101