Dynatrace

SEPTEMBER 28, 2021

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

DevOps 206

DevOps Metrics Traffic Efficiency 206

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud-native is the preferred way of delivering applications.

Cloud 188

Cloud DevOps Strategy Monitoring 188

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 239

Energy Cloud Airlines Strategy 239

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But these benefits also become risks when it comes to cloud security.

Artificial Intelligence 235

Artificial Intelligence Cloud Best Practices DevOps 235

Dynatrace

MAY 3, 2022

Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.

Cloud 183

Cloud DevOps Architecture Technology 183

Dynatrace

FEBRUARY 10, 2021

Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream.

Cloud 171

Cloud DevOps Speed Azure 171

Dynatrace

OCTOBER 30, 2023

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. One of the keys to managing cloud costs is ensuring that operations are running efficiently. But this task has become challenging.

Engineering 250

Engineering DevOps Innovation Storage 250

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. And industry watchers have begun to make their technology predictions for 2024.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

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 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. For most teams, evolving their DevOps practices has been challenging enough. Or is it just a passing cloud?

DevOps 222

DevOps Big Data Cloud Innovation 222

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 226

Google Cloud Serverless Innovation 226

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

NOVEMBER 9, 2023

Efficient coordination among resource usage, requests, and allocation is critical. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring. One option is to continuously track the Memory utilization efficiency of existing Kubernetes objects, such as namespaces or workloads.

Efficiency 279

Efficiency Monitoring Best Practices Open Source 279

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. 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

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news. Watch webinar now!

DevOps 235

DevOps Innovation Infrastructure Analytics 235

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 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. What is software automation? Operations.

Software 193

Software Software Analytics Big Data 193

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. Self-healing and auto-remediation become increasingly important as cloud environments grow and interdependencies between systems multiply. Continuous validation.

Software 201

Software Software Artificial Intelligence DevOps 201

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

MARCH 7, 2022

Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. Through customer interviews and financial analysis, Forrester found that a composite organization will experience benefits of $20.16 Dynatrace news.

Healthcare 230

Healthcare Innovation Efficiency DevOps 230

Dynatrace

NOVEMBER 14, 2023

Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. For organizations building business-centric SLOs, Aguiar had some recommendations. “If

Best Practices 197

Best Practices Engineering DevOps Software Engineering 197

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. What are the challenges of log analytics? Data silos.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. Embracing the tenets of DevOps and DevSecOps methodologies anchored in engineering principles. However, this is highly unlikely.

Engineering 232

Engineering DevOps Innovation Strategy 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 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

AUGUST 5, 2022

It helps organizations keep up with the high velocity of software releases and the complexity of multi-cloud environments. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation promotes efficient processes and secure applications.

DevOps 213

DevOps Cloud Best Practices Open Source 213

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). Dynatrace® Clouds app. It helps teams to find under or overutilized resources and components quickly.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. IT automation, DevOps, and DevSecOps go together.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 294

Cloud Open Source Internet Internet 294

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. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Dynatrace truly helps us do more with less. Register to listen to the webinar.

Innovation 188

Innovation Speed Artificial Intelligence Government 188

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management.

Best Practices 268

Best Practices DevOps Education Serverless 268

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. AIOps for root-cause analysis becomes critical. Weighing MLOps vs. AIOps.

Serverless 271

Serverless Infrastructure Innovation DevOps 271

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. What are the challenges of log analytics? Data silos.

Analytics 186

Analytics Storage Retail Monitoring 186

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 252

AWS Efficiency Azure Cloud 252