Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 239

Serverless Efficiency Lambda Azure 239

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Performance efficiency. Reliability.

Azure 178

Azure Monitoring Virtualization Metrics 178

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 135

Azure Serverless IoT Lambda 135

Tech News Gather

MAY 27, 2024

In the dynamic world of cloud computing, agility and efficiency in deploying applications are paramount. Azure Container Instances (ACI) represents a breakthrough in cloud technology, offering a streamlined and cost-effective solution for running containers on Microsoft Azure. What is Azure Container Instances?

Azure 52

Azure Best Practices Virtualization Scalability 52

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. Nearly half (49%) of organizations believe their cloud bill is too high , according to a CloudZero survey. million on cloud computing , while large enterprises shell out upward of $12 million annually.

Cloud 184

Cloud Strategy Retail Energy 184

Scalegrid

MARCH 22, 2024

Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Azure Batch. Azure DB for MariaDB. Azure HDInsight.

Azure 144

Azure Cloud Big Data Virtualization 144

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Declarative APIs.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems.

Azure 167

Azure AWS DevOps Cloud 167

Dynatrace

JULY 12, 2019

Identity management and monitoring across customers and cloud provider accounts have become increasingly complex, making it harder to enforce performance and security policies. It provides a single pane of glass to your operation center and provides precise, AI-powered answers, powering the automation of critical business and IT processes.

Azure 154

Azure Efficiency Cloud Monitoring 154

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. While more investments are being directed towards Kubernetes-native or cloud-native methods, the challenges in using Kubernetes remain. When working with Kubernetes, it’s imperative to carefully keep track of what is going on in your clusters to ensure optimal health and efficiency.

Engineering 252

Engineering Efficiency Azure Monitoring 252

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs.

Database 130

Database Cloud Hardware Storage 130

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

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.

Cloud 254

Cloud Azure Analytics AWS 254

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 236

AWS Efficiency Azure Cloud 236

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 196

Serverless Lambda Azure AWS 196

Dynatrace

MARCH 18, 2024

Overseeing cloud spend and IT resource allocation has always been a priority for CIOs. Yet, in 2023, 82% of cloud decision makers reported that managing cloud spend was their top challenge, according to one source. Teams provision and purchase many cloud services that end up underused or completely unused.

Best Practices 221

Best Practices Strategy Cloud AWS 221

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Additionally, Dynatrace’s Micha? ski explains.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. VAPO is available in both Microsoft Azure and AWS. It’s supported by the VA Enterprise Cloud (VAEC), a multi-vendor, FedRAMP High environment for hosting VA applications in the cloud.

Monitoring 173

Monitoring Artificial Intelligence Performance Healthcare 173

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 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Dynatrace® Clouds app.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. With the significant growth of container management software and services, enterprises need to find ways to simplify the process. In this class of CaaS, cloud providers and hyperscalers offer minimal orchestration.

Serverless 212

Serverless Azure Hardware Transportation 212

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

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. It coincides with the advent of complex, distributed cloud technologies such as microservices and containers. Automated DevOps throughout AWS hybrid-cloud environments. Microsoft Azure.

DevOps 180

DevOps Engineering Testing Open Source 180

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 232

Best Practices Analytics Artificial Intelligence Infrastructure 232

Dynatrace

MARCH 27, 2024

Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. As teams and their structure and metadata are often maintained in a dedicated database, such as Microsoft Entra ID (formerly Azure Active Directory) or ServiceNow.

Best Practices 189

Best Practices Azure Database Code 189

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated. Organizations with underdeveloped automation can face detrimental consequences.

DevOps 193

DevOps Benchmarking Azure Innovation 193

Dynatrace

FEBRUARY 10, 2021

Broad-scale observability focused on using AI safely drives shorter release cycles, faster delivery, efficiency at scale, tighter collaboration, and higher service levels, resulting in seamless customer experiences. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams.

Cloud 160

Cloud DevOps Speed Metrics 160

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 230

Engineering Development DevOps Infrastructure 230

Scalegrid

APRIL 5, 2024

This method involves splitting data over various nodes to improve the database’s efficiency. Similar to how each lane on the highway handles certain vehicles for more efficient travel, in Redis sharding, different nodes manage various pieces of data through consistent hashing. Visualize it as a relay race.

Scalability 130

Scalability Efficiency Java Database 130

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Usage reduction is a continuous process.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

FEBRUARY 16, 2023

The benefits of the cloud are undeniable. With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. But the cloud also produces an explosion of data. It is about the collection of all of those together.”

Artificial Intelligence 183

Artificial Intelligence Analytics Cloud Innovation 183

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 198

Analytics Monitoring Artificial Intelligence DevOps 198