Dynatrace

NOVEMBER 9, 2022

Today’s organizations know they need cloud environments to stay competitive. . Indeed, according to some research, more than 90% of organizations now use cloud computing. cloud-native platforms will be the foundation ?for But many companies’ IT infrastructure doesn’t start out in the cloud.

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 2, 2022

Dynatrace SaaS availability on Azure helps the world’s largest organizations achieve this through enabling faster cloud adoption and more effective digital transformation. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation.

Azure 319

Azure Availability Hardware Innovation 319

Dynatrace

NOVEMBER 3, 2023

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. Why is platform engineering important?

Engineering 208

Engineering DevOps Software Engineering Scalability 208

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually.

Cloud 170

Cloud DevOps Code Open Source 170

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. 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.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. The FaaS model of cloud computing debuted in 2014 with startups like hook.io.

Development 247

Development Serverless Best Practices Lambda 247

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. Don’t pay for capacity you don’t use or need.

Cloud 123

Cloud Serverless AWS Storage 123

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Full stack observability: Gain comprehensive observability across the entire stack, including Kubernetes clusters, applications, and underlying infrastructure.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

OCTOBER 7, 2021

For many companies, the journey to modern cloud applications starts with serverless. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability. Finally, there’s scalability.

Serverless 276

Serverless AWS Lambda Storage 276

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 228

Architecture Artificial Intelligence Cloud Open Source 228

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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

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 180

DevOps Analytics Storage Metrics 180

Dynatrace

FEBRUARY 15, 2023

Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability. AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams.

Government 162

Government Serverless Analytics Metrics 162

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 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

All Things Distributed

SEPTEMBER 25, 2017

Today, I am excited to announce plans for Amazon Web Services (AWS) to bring an infrastructure Region to the Middle East! 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.

Cloud 152

Cloud Education Energy Government 152

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. The demand for adaptable, highly scalable, and modular application designs has led many developers to move from SOA to a microservices approach.

Architecture 196

Architecture Serverless Azure Programming 196

Percona

APRIL 28, 2023

For example, the vendor might push a cloud-based solution when the customer prefers to keep its infrastructure on-premises. They can more easily scale infrastructure — up or down — to meet economic conditions and changing business objectives. Those freedoms help companies optimize limited tech budgets.

Open Source 117

Open Source Database Software Software 117

Dynatrace

JANUARY 13, 2022

However, only highly scalable real user monitoring solutions can collect data on all user actions, while less scalable tools have to sample user actions and make inferences from partial data. Watch webinar now! Ideally, a solution should record all user actions to have a complete picture of a user’s experience.

Monitoring 176

Monitoring Latency Mobile Best Practices 176

Dynatrace

DECEMBER 22, 2021

Observability platforms are becoming essential as the complexity of cloud-native architectures increases. As a result, teams can gain full visibility into their applications and multicloud infrastructure. OpenTelemetry data and the Dynatrace observability platform enable scalable, effective observability across your services.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Tasktop

MARCH 31, 2022

Hundreds of millions of lines of code are running in cars and in the backend,” says René on a recent webinar. Everything must be cloud-ready, scalable, networked, connected and secure, such that pure coding is now the smallest part of IT initiatives. Optimizing Digital Product Lines with Value Stream Management at BMW Group.

Automotive 52

Automotive Software Software Development 52

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. The company also releases MongoDB Atlas, promoting it as the most cost-effective way to run MongoDB in the Cloud. Some might say this marked the beginning of MongoDB’s “cloud push” escalation.) 2017: MongoDB goes public, trading as MDB.

Open Source 85

Open Source Programming Database Servers 85

Percona

AUGUST 1, 2023

With an increasing number of databases in the cloud, the question is now not a matter of IF it will happen again, but when. Because of its NoSQL origin and document architecture design, MongoDB is much more flexible and scalable than SQL databases such as MySQL. Using a public CA is not necessary inside a private infrastructure.

Best Practices 41

Best Practices Transportation Open Source Traffic 41

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Learn more: View our webinar on How to Scale with MongoDB. 6) Infrastructure limitations Infrastructure and hardware limitations are very similar. What is sharding in MongoDB?

Best Practices 75

Best Practices Traffic Database Servers 75