Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. Customized security measures tailored to the specific architecture and workloads of each organization’s cloud infrastructure can effectively protect data from potential threats or vulnerabilities.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

DZone

OCTOBER 27, 2023

In the dynamic world of microservices architecture, efficient service communication is the linchpin that keeps the system running smoothly. This dedicated infrastructure layer is designed to cater to service-to-service communication, offering essential features like load balancing, security, monitoring, and resilience.

Traffic 231

Traffic Best Practices Architecture Infrastructure 231

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. A PUE of 1.0 Can we shut it down?”

Cloud 218

Cloud Energy Best Practices Cache 218

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time.

Best Practices 241

Best Practices Strategy Cloud AWS 241

Dynatrace

APRIL 19, 2024

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Pre-built custom dashboards enable the team to share the hourly billing data with development teams, giving them insights into how architecture and design decisions drive costs.

AWS 229

AWS Analytics Cloud Monitoring 229

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. What will the new architecture be? What can we move? How can we ensure we see performance gains once migrated?

Cloud 221

Cloud Artificial Intelligence Performance AWS 221

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.

Artificial Intelligence 238

Artificial Intelligence Cloud Best Practices DevOps 238

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. The resulting vast increase in data volume highlights the need for more efficient data handling solutions.

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

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. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs.

Azure 197

Azure Monitoring Virtualization Metrics 197

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 4, 2022

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. Work with different and independent data types.

Artificial Intelligence 275

Artificial Intelligence Analytics Storage Architecture 275

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 217

AWS Artificial Intelligence Analytics Cloud 217

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. What is the difference between monitoring and observability? Is observability really monitoring by another name? Dynatrace news. In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

DZone

JULY 13, 2021

Experienced engineers used Perl scripts, vi, grep and awk to make log searches more efficient. These historical approaches worked for a different era of software applications: ones more monolithic in design, changing relatively infrequently (once every few weeks or months) and with only a handful of log types to monitor.

Google 255

Google Architecture Efficiency Cloud 255

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. What stands out as an imperative now is the urgent need for vendors to shift their focus back to customers and resist the temptation to capitalize on the growing demand for extensive data management and monitoring in complex IT environments.

Retail 245

Retail Storage Best Practices Architecture 245

Dynatrace

OCTOBER 17, 2023

As they try to become more efficient, organizations are turning to technologies such as AIOps and IT automation. AIOps —or the automation of IT operations—and other forms of IT automation have received increasing focus because these technology approaches are critical to improving organizational efficiency. We had siloed business units.

Innovation 190

Innovation Monitoring Network Strategy 190

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. The result is smarter, data-driven solutions designed to manage cloud spend. Adopting observability and monitoring tools can effectively detect and eliminate unused resources to prevent waste. What is FinOps?

Cloud 205

Cloud Strategy Retail Energy 205

Dynatrace

APRIL 6, 2022

Previously, developers would provision APIs and API gateways in order to configure all the desired lambda function settings making for longer setup times and decreased efficiency. Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency.

Lambda 173

Lambda AWS Serverless Infrastructure 173

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. Microservices architecture combines loosely-coupled functions to create high-performing applications. The result? OpenShift 3.0 OpenShift, DevOps, and CI/CD.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

DECEMBER 18, 2023

Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability. Percona Monitoring and Management 2.41.0 Percona Monitoring and Management 2.41.0 Download Percona Monitoring and Management 2.41.0 Docker images are now available for x86_64 architectures.

Monitoring 87

Monitoring Open Source Servers Scalability 87

Dynatrace

OCTOBER 16, 2023

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.

Innovation 206

Innovation DevOps Cloud Efficiency 206

Tech News Gather

MAY 27, 2024

In the dynamic world of cloud computing, agility and efficiency in deploying applications are paramount. Designed with simplicity and scalability in mind, ACI allows developers and IT professionals to swiftly deploy containers without the complexity of managing virtual machines or higher-level services like Kubernetes.

Azure 52

Azure Best Practices Virtualization Scalability 52

Scalegrid

JANUARY 8, 2024

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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 9, 2022

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools. Executive-level and business benefits.

Strategy 236

Strategy Benchmarking Serverless Infrastructure 236

Dynatrace

AUGUST 25, 2023

Yet upgrading antiquated systems and effectively integrating them into modern workflows is challenging despite the potential to increase efficiency, improve security, reduce the higher operational costs associated with supporting tech debt, and avoid the foreseeable breaks in end-of-life apps.

Government 213

Government Infrastructure Programming Cloud 213

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Fully conceptualizing capacity requirements. Common findings.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

Dynatrace

JUNE 19, 2020

To drive productivity and boost efficiency, enterprises are increasingly automating their critical business processes. One of the many ways our customers can cut through this ever-growing complexity is by using the Dynatrace Monitored entities API v2. Making design decisions based on size and critical dependencies of applications.

Monitoring 151

Monitoring Efficiency Processing Architecture 151

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. For more complex cloud-native architectures, adding more services and applications leads to a massive increase in the volume of collected traces.

Analytics 238

Analytics Social Media Metrics Efficiency 238

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures.

Artificial Intelligence 218

Artificial Intelligence Storage Analytics Government 218

Scalegrid

MARCH 22, 2024

They’re your roadmap to linking cloud moves with real business outcomes, helping you monitor progress. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Setting up and tracking Key Performance Indicators (KPIs) is crucial.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. Monitor the project to gain valuable insights on user interactions, user response, and overall success of the project. What are DevOps engineer tools and platforms. How cloud automation can help.

DevOps 200

DevOps Engineering Testing Open Source 200

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities.

Strategy 232

Strategy Innovation Cloud Serverless 232

Dynatrace

NOVEMBER 14, 2023

Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments. The panelists speculated that AI will likely improve quality of life for SRE teams through its ability to efficiently execute tasks.

Best Practices 201

Best Practices Engineering DevOps Software Engineering 201