Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. See how Dynatrace Log Management and Analytics enables any analysis at any time with Grail technology. Learn more. What is IT automation?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

JANUARY 17, 2024

AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. FinOps, where finance meets DevOps, is a public cloud management philosophy that aims to control costs. Use generative AI in conjunction with other technologies.

Strategy 219

Strategy Artificial Intelligence Storage Cloud 219

Dynatrace

JANUARY 12, 2022

To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. Seamless observability of messaging systems is critical for DevOps teams. Messaging systems are typically implemented as lightweight storage represented by queues or topics. This is great!

Analytics 183

Analytics Systems DevOps Healthcare 183

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

FEBRUARY 2, 2023

Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. Should business data be part of your observability solution?

Analytics 197

Analytics Metrics DevOps Storage 197

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications. Dynatrace news.

Serverless 184

Serverless Azure Lambda AWS 184

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

NOVEMBER 29, 2021

But OpenShift provides comprehensive multi-tenancy features, advanced security and monitoring, integrated storage, and CI/CD pipeline management right out of the box. is built on the most popular Linux container technology, Docker. Access a wide ecosystem of partners with open-source and cloud-native technologies. The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. Development and DevOps. Indeed, IT operations, security, and DevOps teams feel the strain of ever-growing cloud environments and the increasing amounts and types of data they generate.

Analytics 130

Analytics Storage Cloud DevOps 130

DZone

AUGUST 14, 2019

The rise of innovative efforts made by several vendors to expand and modernize network device interfaces is improving network agility and is seen with emerging technologies such as SD-WAN, SDN, NFV, and intent-based networking. Modern Technologies Are Complex.

Network 182

Network Innovation Hardware DevOps 182

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. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Dynatrace news. billion in 2020 to $4.1

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 11, 2021

Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams. Avoid lock-in with open-source technologies. On the processing side, GCF functions can interface with Google’s own AI/ML technologies to inspect video and image content.

Google 218

Google Cloud Serverless Azure 218

Dynatrace

NOVEMBER 20, 2023

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. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

NOVEMBER 28, 2023

Leverage OneAgent functionality Ingesting configuration changes into Dynatrace through the events API call and utilizing OneAgent to detect configuration changes for supported technologies help maintain close alignment between your staging and production environments. This approach effectively combats configuration drift.

Traffic 259

Traffic Best Practices Strategy Engineering 259

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 19, 2023

Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Data is segmented and separated based on storage buckets. Encryption.

Design 188

Design Storage Programming Analytics 188

Dynatrace

OCTOBER 15, 2021

These are just a few of the open-source technologies you may encounter as you research observability solutions for managing complex multicloud IT environments and the services that run on them. In fact, these technologies have become so prevalent that anybody who may not know the full scope of the topic may be afraid to ask.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

FEBRUARY 15, 2023

Additionally, its modern architecture delivers cost-effective storage and compute. As a result, teams benefit from low-cost cloud storage that provides access to all data and doesn’t require data rehydration.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Machine learning.

AWS 205

AWS Best Practices Analytics Cloud 205

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. With Dynatrace OneAgent technology, your Kubernetes clusters gain self-managed observability as soon as a node is provisioned.

Google 193

Google Engineering Metrics Hardware 193

Dynatrace

SEPTEMBER 17, 2019

Their technology stack looks like this: Spring Boot-based Microservices. PostgreSQL & Elastic for data storage. Robert allowed me to take a couple of screenshots from their Dynatrace environment and with that, in this blog I try to explain how Dynatrace gives them MaaSS for Developers, Operators, DevOps as well as Business.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. However, 17% of organizations operate security separately from DevOps, lacking any DevSecOps initiatives.

Cloud 82

Cloud Open Source Strategy Best Practices 82

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

Tasktop

MAY 17, 2021

At the heart of their business planning, leadership is harnessing OKRs (objectives and key results) to translate urgent corporate objectives into meaningful goals for their business and technology teams. Gene Kim, author of The DevOps Handbook and The Unicorn Project. The result was reducing storage costs by 75%.

DevOps 59

DevOps Metrics Innovation Storage 59

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Distributed Tracing – Distributed Tracing / Code level insights for multiple technology stacks are achieved without any code changes.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

SEPTEMBER 13, 2023

Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

FEBRUARY 16, 2023

In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake.

Analytics 182

Analytics Innovation Metrics Database 182

All Things Distributed

DECEMBER 8, 2016

Canada has set forth a bold innovation agenda grounded in entrepreneurship, scientific research, growing small and medium-sized businesses with a focus on environmentally friendly technologies, and the transition to a digital economy. For more information about AWS efforts, see AWS & Sustainability. as part of its Box Zones ecosystem.

AWS 155

AWS Cloud Lambda Innovation 155

Abhishek Tiwari

JULY 22, 2023

Sentinel policies are written to enforce rules such as: Requiring encryption for all Amazon S3 buckets and Azure Blob Storage containers. Open Policy Agent (OPA) for Kubernetes Policies A technology company manages a Kubernetes cluster to deploy microservices. Restricting access to specific AWS services based on defined IAM roles.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Dynatrace

JULY 21, 2020

There are certain situations when an agent based approach isn’t possible, such as with network or storage devices, or a very old OS. Once that’s complete, you can create the synthetic monitors via the Custom extensions tab on the monitored technologies page. Visualize your synthetic monitor data.

Infrastructure 152

Infrastructure Monitoring Open Source Traffic 152

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. From AI to ML, the shifting technology world is constantly innovating and making significant progress. You will invest more time on technologies instead of bug fixes by implementing DevTestOps.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

JANUARY 8, 2020

Rather than just “keeping the lights on,” the modern I&O team must evolve to become responsible for building and maintaining the cloud platform, empowering DevOps teams to build, deploy and run applications themselves. This also implies a fundamental change to the role of infrastructure and operations teams. Part of a full-stack solution.

Infrastructure 148

Infrastructure Cloud Monitoring Metrics 148

Testsigma

DECEMBER 1, 2020

The guidelines or rules for designing a testing framework may include coding standards, handling methods for test data, the process for test results storage, the process for accessing external resources, object repositories, etc. It is specially built for the teams of today that are Agile and are using DevOps.

Testing 62

Testing Website DevOps Mobile 62

The Morning Paper

FEBRUARY 18, 2020

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. Looking at ML as software, we expect the ML and Software Engineering communities to provide us with automation, tooling, and engineering best practices – ML will become an integral part of the DevOps lifecycle.

Government 95

Government Software Engineering Storage Database 95

Testsigma

AUGUST 23, 2021

The digital market growth, Agile, DevOps, all are pushing organizations to adopt cloud-based solutions at a lightning speed. They facilitate the storage of huge data and have automated monitoring of the systems on the cloud. PC: Technology vector created by pikisuperstar – www.freepik.com. Reference: [link].

Cloud 74

Cloud Testing AWS Testing Tools 74