Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

SEPTEMBER 21, 2023

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.

Energy 222

Energy Cloud Airlines Strategy 222

Dynatrace

JULY 30, 2021

Three years ago, I toured through the US, Europe, and Asia giving hands-on training sessions on what I then called the “Unbreakable Delivery Pipeline Tour”. Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Dynatrace news.

Cloud 211

Cloud DevOps Azure Virtualization 211

High Scalability

OCTOBER 24, 2022

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

JANUARY 17, 2024

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. These data volumes must be transferred from edge devices to the cloud.

Strategy 212

Strategy Artificial Intelligence Storage Cloud 212

Dynatrace

AUGUST 27, 2020

Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. Dynatrace news.

AWS 262

AWS Cloud IoT Database 262

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. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 241

Cloud Serverless Innovation Architecture 241

Dynatrace

MAY 30, 2023

Never short of outstanding achievements, the awards span from Cloud Innovator of the Year to Special Recognition for Excellence. An integral and celebrated part of the event agenda is the Dynatrace Partner Awards, allowing us to recognize our partner organizations and individuals for their contributions and success over the last year.

Innovation 201

Innovation Cloud AWS DevOps 201

The Netflix TechBlog

NOVEMBER 6, 2023

In order to train the model on internal training data (video clips with aligned text descriptions), we implemented a scalable version on Ray Train and switched to a more performant video decoding library. These models are trained on large amounts of image-caption pairs via in-batch contrastive learning.

Media 225

Media Social Media Tuning Efficiency 225

Dynatrace

JANUARY 16, 2020

Require training—learning periods—to uncover structure and commonalities and identify normal behavior. Works without training ; the entire system context is captured and updated in real-time, as hosts and processes appear. Dynatrace Autonomous Cloud Enablement. Davis can precisely identify the root cause of a problem.

Cloud 154

Cloud Artificial Intelligence Virtualization Efficiency 154

Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 196

Cache Azure Infrastructure Monitoring 196

Percona

NOVEMBER 9, 2023

You may already be using it daily and find it makes running applications in the cloud much more manageable. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. It has become the industry standard for cloud-native container orchestration.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Dynatrace

MAY 23, 2022

We covered it all from cloud observability , infrastructure , application security , and beyond. Cloud Innovation Award, NORAM. In a world where innovation is everything, congratulations to our NORAM Cloud Innovation Award winner, Orasi , for their continued commitment to building a highly differentiated offering.

Games 197

Games Innovation Energy Cloud 197

Dynatrace

APRIL 26, 2023

Traditionally, cloud-resource management is done by collecting telemetry data for critical-capacity resources and configuring multi-level reactive alerting (warnings, errors, and critical errors) for those resources. Highly dynamic services are deployed to the cloud globally, where resources are requested and deployed on demand.

Games 201

Games Analytics Strategy Cloud 201

Dynatrace

JANUARY 4, 2024

It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI systems, and their data, can be biased, either intentionally or unintentionally, reflecting the biases of their creators or the data on which they are trained. AI system bias. Data in context.

Artificial Intelligence 223

Artificial Intelligence Strategy Traffic Virtualization 223

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. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

JUNE 14, 2023

Observability is no longer optional, but mandatory for organizations migrating to the modern cloud.” Cloud-native applications require observability and security that can scale, flex, and respond instantaneously. The Dynatrace Platform Subscription (DPS) includes modern pricing with flexibility and transparency for cloud environments.

Programming 171

Programming Analytics Innovation Best Practices 171

Dynatrace

FEBRUARY 26, 2024

Digital transformation – which is necessary for organizations to stay competitive – and the adoption of machine learning, artificial intelligence, IoT, and cloud is completely changing the way organizations work. In fact, it’s only getting faster and more complicated. Requirement.

Artificial Intelligence 183

Artificial Intelligence IoT Programming Innovation 183

Dynatrace

SEPTEMBER 30, 2021

Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Core AWS certifications.

AWS 198

AWS Best Practices Analytics Cloud 198

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 141

AWS Cloud Artificial Intelligence Innovation 141

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Almost Completely Cloud-y.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.

Government 190

Government Analytics Benchmarking Storage 190

Dynatrace

DECEMBER 30, 2021

Traditional cloud monitoring tools haven’t solved the challenge with their bolt-on correlation and machine-learning approaches. Organizations need automatic intelligence to identify the root cause of cloud systems’ performance and security issues. Today’s cloud complexity wall has become overwhelming for IT departments.

Strategy 211

Strategy Energy Cloud Innovation 211

The Netflix TechBlog

NOVEMBER 17, 2022

During training, our goal is to generate the best downsampled representation such that, after upscaling, the mean squared error is minimized. We focus on a robust downscaler that is trained given a conventional upscaler, like bicubic. We focus on a robust downscaler that is trained given a conventional upscaler, like bicubic.

Network 292

Network Media Innovation Efficiency 292

All Things Distributed

SEPTEMBER 25, 2017

This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world. This provides students and educators with the resources needed to accelerate cloud-related learning.

Cloud 152

Cloud Education Energy Government 152

Dynatrace

AUGUST 2, 2021

VA is estimated to migrate 350 applications hosted on-premises and in external data centers to the VA Enterprise Cloud by 2024, making this one of the most ambitious digital transformations in the federal government. Throughout the pandemic, VA did not slow its push for cloud migration but instead followed an increasingly aggressive strategy.

Government 243

Government Strategy Cloud Efficiency 243

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Cloud Alliance Partner Award: Amazon Web Services. Training & Certification Award: Accenture.

Programming 225

Programming Cloud Virtualization Technology 225

Dynatrace

JUNE 16, 2022

While distributed cloud-native applications improve operational stability and business agility, the increased risks of an attack have made them less secure. Securing cloud applications requires a layered approach. How RASP capabilities complement other cloud security approaches. Not scalable in cloud-native environments.

Tuning 212

Tuning Cloud Open Source Network 212

Testsigma

SEPTEMBER 15, 2021

Usually, one of the most discussed possibilities while performing cross-browser testing is if we should move to a cloud-based testing tool. When we embrace the cloud, we perform end-to-end testing on the cloud itself. It means we test, analyze, collaborate, and manage bugs from within the cloud. PC: Testsigma.

Cloud 79

Cloud Testing Testing Tools Website 79

Dynatrace

NOVEMBER 17, 2020

ISG Provider Lens for Cloud-Native Observability Solutions Quadrant. This year, we’ve increased the number of awards to partner individuals to recognize the personal achievements around training, certification, and community participation, along with recognition for partner organizations. EMEA Cloud Innovation Award.

Entertainment 164

Entertainment Innovation Virtualization Cloud 164

Testsigma

MAY 14, 2021

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. With cloud-based testing, everything resides on the cloud and therefore the testing approach also changes where all testing related activities are done on the cloud and IT is delivered as a service.

Cloud 67

Cloud Testing Testing Tools Internet 67

DZone

AUGUST 20, 2020

We check public transportation apps to see when the next train is arriving at the station. As part of engineering teams, we use application monitoring and cloud services (like CI and cloud infrastructure) to function, so that code changes seamlessly deploy into production.

Transportation 211

Transportation Infrastructure Cloud Monitoring 211

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. With MLOps, data needs to be trained to understand normal behavior and what is anomalous.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Why machine learning falls short in cloud-native environments.

Artificial Intelligence 166

Artificial Intelligence DevOps Analytics Cloud 166

Dynatrace

JANUARY 31, 2024

This unified approach reduces the total cost of ownership (TCO), cutting down on the overhead costs associated with managing multiple standalone tools and training costs and simplifying procurement and vendor management. If a specific cloud is not adequately monitored, the cloud integration can easily be set up.

Analytics 165

Analytics Infrastructure Monitoring Cloud 165