Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 193

Software Software Analytics Big Data 193

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

MARCH 29, 2024

Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. In this article, we explore recent survey data from Enterprise Strategy Group (ESG), sponsored by Dynatrace, on how organizations approach IT automation, as well as the benefits and challenges they encounter as they adopt it.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

MAY 24, 2024

Ally’s goal was to reduce the number of monitoring tools it was using and its annual spend while gaining better, more actionable—and more automatable—insights into systems that affect customer experiences. Full-stack observability resolved problems, consolidated tools, and reduced costs Ally became a Dynatrace customer in 2023.

Technology 221

Technology Technology Analytics Innovation 221

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 198

DevOps Analytics Airlines Metrics 198

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Learn how security improves DevOps.

DevOps 190

DevOps Analytics Best Practices Java 190

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. How exactly does it differ from machine learning?

Artificial Intelligence 180

Artificial Intelligence DevOps Analytics Cloud 180

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Both can result in lost productivity for IT teams and staff in the field.

Government 209

Government Infrastructure Programming Cloud 209

Dynatrace

NOVEMBER 20, 2023

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? IT automation, DevOps, and DevSecOps go together. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. DevOps/DevSecOps with AWS. Learn more here.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

JANUARY 19, 2022

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Teams can understand exactly which systems and services are affected and have a clear path of action. DevOps and DevSecOps orchestration. What is DevOps?

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Dynatrace

JULY 5, 2022

AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Such insights include whether the system can effectively collect, analyze, and report this data. Greater system reliability and uptime improve user experiences. Aggregation. Improved user experiences.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

SEPTEMBER 12, 2022

This placement recognizes Dynatrace’s focus on customers and pushing the art of what’s possible in AI and automation as it’s applied to observability, security, and business analytics. With a strategy and execution score of 4.73 The highest score in strategy was attributed to Dynatrace’s focus on self-healing and proactive automation.

Strategy 130

Strategy DevOps Analytics Cloud 130

Dynatrace

APRIL 1, 2021

Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Although these environments use fewer resources, they enable DevOps teams to deliver greater capabilities on a wider scale.

Azure 175

Azure AWS DevOps Cloud 175

Dynatrace

AUGUST 31, 2020

The operational and competitive advantages of creating great user experiences underscore why having advanced DPM capabilities has to be at the forefront of organizations’ digital transformation strategies. DPM is not just about monitoring application slowness, downtime, outages, configuration changes, and capacity issues.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

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. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 13, 2021

User feedback like this is critical to our platform innovation, and we view these insights as the building blocks of our strategy to transform the way digital teams work.”. Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company. Ranked among Built in Boston’s 2020 “Best Places to Work in Boston”.

Artificial Intelligence 139

Artificial Intelligence DevOps Analytics Innovation 139

Dynatrace

SEPTEMBER 22, 2021

Organizations use this kind of APM to ensure reliable system performance, optimize service performance and response times, and improve the user experience. Application performance management is the wider discipline of developing and managing an application performance strategy. Application performance management.

Innovation 210

Innovation Open Source Monitoring Infrastructure 210

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. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Monitoring typically provides a limited view of system data focused on individual metrics.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications?

Cloud 182

Cloud Open Source Architecture Monitoring 182

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. What Does a Site Reliability Engineer Do?

Engineering 67

Engineering DevOps Monitoring Google 67

Testsigma

AUGUST 26, 2021

We’re sure you’ve heard your DevOps team often talk about test orchestration. For agile teams, applying test orchestration to their testing strategy is quite rewarding as it accelerates testing and offers a holistic view of the testing process. to achieve overall efficiency. Source: ProfessorBob.ai. Source: BMC.

Testing 52

Testing Strategy DevOps Testing Tools 52

IO River

NOVEMBER 2, 2023

However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five minutes of downtime per year, which means the system is almost always operational.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five minutes of downtime per year, which means the system is almost always operational.

Availability 52

Availability Social Media Traffic Games 52

O'Reilly

MAY 19, 2020

Technical leads and architects (about 11%) are next, followed by software and systems architects (9+%). In other words, comparatively few respondent organizations appear to be pursuing dedicated multi-cloud strategies. Even though SRE is less well known than microservices, DevOps, and other topics, it isn’t in any sense new.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

DECEMBER 8, 2020

Current security tools were purpose-built for waterfall-based development, and so they bottleneck DevOps. Research by the Enterprise Strategy Group in 2020 shows 60% of reported breached production applications in the past 12 months involved a known and unpatched vulnerability. Is it exposed to the public Internet?

Cloud 294

Cloud Open Source Internet Internet 294

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. SREs must manage complex distributed systems. We talked about monitoring distributed systems in a different article and how that pertains to SRE teams.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dynatrace

SEPTEMBER 20, 2019

Here’s what we discussed so far: In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization. One of the several deployment strategies is the blue/green deployment approach: In this method, two identical production environments work in parallel.

Systems 27

Systems Traffic DevOps Database 27