Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Comparing log monitoring, log analytics, and log management.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

DECEMBER 21, 2023

How can you reduce the carbon footprint of your hybrid cloud? energy-efficient data centers—cloud providers—achieve values closer to 1.2. Is the solution to just move all workloads to the cloud? There might not be enough cloud capacity where you need it. How will your organization respond to this global challenge?

Cloud 209

Cloud Energy Best Practices Cache 209

The Netflix TechBlog

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. Finally, provisioning our infrastructure itself is also becoming an increasingly complex task, so our data teams contribute to tools for diagnosis and automation of our cloud capacity management.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 192

Energy Artificial Intelligence AWS Lambda 192

Dynatrace

MARCH 29, 2023

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.

Google 220

Google Metrics Cloud Analytics 220

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 184

DevOps Analytics Storage Metrics 184

High Scalability

NOVEMBER 23, 2018

Know anyone looking for a simple book explaining the cloud? book: Explain the Cloud Like I'm 10. As a result, most organizations are down-sampling, which can impact the accuracy of machine models and created unnecessary steps to the predictive analytics process. Do you like this sort of Stuff? Please support me on Patreon.

Internet 174

Internet Internet Scalability Analytics 174

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. What is a data lakehouse?

Efficiency 276

Efficiency Performance Analytics DevOps 276

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. You have to get automation and analytical capabilities.”

Artificial Intelligence 194

Artificial Intelligence Analytics Cloud Innovation 194

Dynatrace

FEBRUARY 16, 2023

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. Yet, as organizations embark on a cloud migration journey, they face overwhelming cloud complexity and an explosion of data to manage.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

AUGUST 25, 2023

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. Service ownership details In addition, Dynatrace offers powerful log analytics in the Dynatrace Log Viewer.

Serverless 223

Serverless Analytics AWS Azure 223

Dynatrace

NOVEMBER 28, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 225

Lambda AWS Serverless Latency 225

Dynatrace

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 216

Lambda AWS Serverless Latency 216

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. IP addresses within the cloud can move from one EC2 instance or Titus container to another over time.

Network 325

Network Transportation AWS Cloud 325

DZone

AUGUST 23, 2023

Snowflake, a cloud-based data platform, has gained immense popularity for providing enterprises with an efficient way of handling big data tables and reducing complexity in data environments.

Big Data 130

Big Data Analytics Innovation Efficiency 130

Dynatrace

DECEMBER 11, 2023

It’s open source, allows for great scalability with the possibility to run workloads on the cloud and on-premises Kubernetes clusters, and is easily extensible via plugins. This outlier points us to an overloaded cloud; too many workloads were running, and the cluster ran out of resources. Try it yourself Using Jenkins?

Open Source 187

Open Source Analytics Metrics Cloud 187

Dynatrace

FEBRUARY 15, 2023

Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems.

Code 212

Code DevOps Cloud Analytics 212

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. AI-driven insights optimize resource allocation, bolster internal developer platform scalability, and introduce autonomous operations for platform engineers.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

APRIL 25, 2023

This is due to a number of factors, including the rise of cloud infrastructure, automation, and an abundance of prebuilt open-source libraries and third-party/supply-chain products. Visibility into pre-production and production, enabling both runtime vulnerability analytics and runtime application protection.

Government 213

Government Innovation Open Source Traffic 213

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

AUGUST 25, 2023

The team can also focus on developing new cloud-native apps that provide the scalability necessary to deliver reliable services, especially during times of crisis when families need HHS the most. Dynatrace provides analytics and automation for unified observability and security.

Government 203

Government Infrastructure Programming Cloud 203

Dynatrace

DECEMBER 16, 2022

An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. As organizations continue to operate in the cloud, open technologies become critical. AI-powered precise answers and timely insights with ad-hoc analytics.

Innovation 197

Innovation Software Software Cloud 197

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

NOVEMBER 2, 2022

According to one statistic, 76% of digital teams are responsible for delivering revenue , so software reliability and scalability are an increasing focus as these teams contribute to the bottom line. Self-healing and auto-remediation become increasingly important as cloud environments grow and interdependencies between systems multiply.

Software 195

Software Software Artificial Intelligence DevOps 195

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

NOVEMBER 22, 2021

These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. Amazon EC2.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Testsigma

JULY 3, 2021

For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Scalability comes at a price. To upgrade, repair, or buy a new version every time is not a cost-effective or scalable solution. If yes — cloud-based testing is your solution. Challenges of On-Premise Testing.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

JANUARY 22, 2024

How causal AI in a data lakehouse can transform your business IT organizations are buried under growing amounts of data for the complex systems they manage across an estate, including on-premises, cloud, and software-as-a-service applications.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

High Scalability

APRIL 3, 2019

In this free PostgreSQL Trends Report , we break down PostgreSQL hosting use across public cloud vs. private cloud vs. hybrid cloud, most popular cloud providers, migration trends, database combinations with Postgres, and why PostgreSQL is preferred over popular RDBMS alternatives.

Database 177

Database Cloud Open Source Systems 177

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Scalable and easy Prometheus support for Kubernetes. By directly and automatically feeding Prometheus data from metric exporters, Dynatrace solves the scalability problem. Dynatrace now provides a direct solution for this challenge.

Open Source 255

Open Source Metrics Analytics Tuning 255

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

DECEMBER 15, 2022

While many organizations have embraced cloud observability to better manage their cloud environments, they may still struggle with the volume of entities that observability platforms monitor. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments.

Strategy 180

Strategy AWS Open Source Transportation 180

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . But it is not just Dutch entrepreneurs who build their business in the cloud, also traditional Dutch enterprises are moving to the cloud to improve their agility and cost-effectiveness.

Cloud 129

Cloud Energy AWS Healthcare 129

Dynatrace

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. You can easily pivot between a hot Kubernetes cluster and the log file related to the issue in 2-3 clicks in these Dynatrace® Apps: Infrastructure & Observability (I&O), Databases, Clouds, and Kubernetes.

Analytics 130

Analytics Infrastructure Database Monitoring 130

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111