Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JUNE 26, 2023

In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?

Software 192

Software Software Analytics Big Data 192

Dynatrace

APRIL 21, 2023

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. The post State and local agencies speed incident response, reduce costs, and focus on innovation appeared first on Dynatrace news.

Innovation 188

Innovation Speed Artificial Intelligence Government 188

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Observability.

Software 201

Software Software Artificial Intelligence DevOps 201

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

MAY 17, 2023

ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

DECEMBER 14, 2023

In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. reduction in critical severity vulnerabilities for enterprise customers.

AWS 267

AWS Innovation Speed Efficiency 267

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Risk in banking is broad and interconnected.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

NOVEMBER 7, 2023

According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Platform engineering is on the rise. Automation, automation, automation. All important health signals are highlighted.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. But the demand for faster delivery speeds and higher-quality software has demonstrated that current software delivery methods are no longer sufficient.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

OCTOBER 19, 2023

Assuming the responsibility and taking the initiative to instill effective cybersecurity practices now will yield benefits in terms of enhanced productivity and efficiency for your organization in the future. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 214

Best Practices Benchmarking Speed Infrastructure 214

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Without autonomous operations, DevOps teams face an increased volume of manual interventions, which are detrimental to productivity, cost efficiency, and employee satisfaction.

DevOps 210

DevOps Benchmarking Azure Innovation 210

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said.

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

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 245

Engineering Development DevOps Infrastructure 245

Dynatrace

SEPTEMBER 3, 2020

Inevitably, this leads to one very important question addressing the efficiency of ML: can such an AI ever keep up with frequent changes and deployments? Another huge advantage of that approach is speed. eBook: AIOps Done Right: Automating the Next Generation of Enterprise Software. Lost and rebuilt context. Further reading.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? GitOps improves speed and scalability.

DevOps 230

DevOps Infrastructure Speed Cloud 230

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. According to GitLab’s 2021 Global DevSecOps Survey , 36% of respondents develop software using DevSecOps, compared with only 27% in 2020.

Serverless 270

Serverless Infrastructure Innovation DevOps 270

Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. Less complexity in software releases.

DevOps 193

DevOps Innovation Speed Monitoring 193

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle. What is SDLC?

Processing 64

Processing Software Software Development 64

DZone

APRIL 21, 2022

With software requirements changing at lightning speed in an agile environment, more and more organizations look to inculcate more atomic development cycles for accelerating their Time To Market (TTM). has discovered that 86% of software development teams have adopted agile, up from 37%, a year ago. A 2021 study by digital.ai

Testing 196

Testing Speed Software Software 196

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Real-time detection for fast remediation.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

JUNE 5, 2023

Organizations are increasingly moving to multicloud environments and adopting microservices to increase the efficiency, reliability, and scalability of their applications and services. To ensure frictionless software delivery and security, organizations require multicloud automation. Consider security incidents.

Engineering 192

Engineering Speed Monitoring Efficiency 192

DZone

AUGUST 11, 2021

Unfortunately, it’s all too easy to break something when different teams are evolving different components (built on many different architectures) at different speeds, all in parallel. But users and stakeholders don’t care that delivering good software is hard.

Performance Testing 246

Performance Testing Testing Performance Speed 246

Alex Podelko

DECEMBER 19, 2019

System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. How is DevOps changing the Modern Software Development Landscape? , Solving the “Need for Speed” in the World of Continuous Integration by Vivek Koul, Mcgraw Hill. a Panel Discussion. Something we all struggle with.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. Instead, key results should reflect something in the engineering team’s control, like the speed or quality of the product. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96

Dynatrace

SEPTEMBER 13, 2023

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

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 Architect your software delivery value stream for speed and quality with integration patterns. Subscribe now.

Efficiency 52

Efficiency Software Software Azure 52

Dynatrace

MAY 4, 2023

Many organizations are adopting a DevSecOps approach to software delivery with the goal of accelerating release validation and ensuring frictionless, secure software delivery. But without intelligent automation, they’re running into siloed processes and reduced efficiency.

DevOps 218

DevOps Speed Innovation Open Source 218

Dynatrace

DECEMBER 5, 2022

By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. DevOps is a widely practiced set of procedures and tools for streamlining the development, release, and updating of software. DevOps orchestration in practice. Get started with DevOps orchestration.

DevOps 215

DevOps Virtualization Innovation Best Practices 215

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.

DevOps 203

DevOps Best Practices Innovation Strategy 203

Dynatrace

OCTOBER 4, 2022

How does a data lakehouse—the combination of a data warehouse and a data lake—together with software intelligence, bring data insights to life? This can vastly reduce an organization’s storage costs and improve data efficiency. Avoiding the speed-cost-quality tradeoffs by using a data lakehouse.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Strategic Tech

DECEMBER 2, 2018

Ideally, all of our teams would be delivering at maximum speed and would all be heading in the same direction, highly-aligned with business goals. Unfortunately, we need to balance speed and alignment, and how we make this trade-off is not clear because not all alignment has the same cost. Aligned Autonomy ?—?which

Efficiency 40

Efficiency Speed Innovation Transportation 40

Dynatrace

APRIL 22, 2024

Development & delivery automation: This section addresses the extent to which an organization automates processes within the software development lifecycle (SDLC), including deployment strategies, configuration approaches, and more. It explores infrastructure provisioning, incident management, problem remediation, and other key practices.

DevOps 191

DevOps Artificial Intelligence Government Innovation 191

Dynatrace

JUNE 10, 2022

Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. Infrastructure as code is a practice that automates IT infrastructure provisioning and management by codifying it as software. What challenges does IAC solve? Consistency. Test, test, test.

Best Practices 214

Best Practices Infrastructure Code Speed 214

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 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

JUNE 1, 2023

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. But the pressure on CIOs to innovate faster comes at a cost.

Latency 181

Latency Website Traffic Virtualization 181