Dynatrace

JULY 12, 2019

The newly launched Microsoft Azure Lighthouse offers capabilities for cross-customer management at scale for service providers to differentiate and benefit from greater efficiency and automation. Dynatrace can also be deployed and operated with ease in large environments, ensuring the efficiency of teams.

Azure 154

Azure Efficiency Cloud Monitoring 154

DZone

SEPTEMBER 21, 2023

However, as enterprises grow and their infrastructure becomes more complex, a single Kubernetes cluster on a single cloud provider may no longer suffice, potentially leading to limitations in redundancy, disaster recovery, vendor lock-in, performance optimization, geographical diversity, cost-efficient scaling, and security and compliance measures.

Azure 202

Azure Games AWS Cloud 202

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

APRIL 25, 2023

In this blog post, we will discuss some of these challenges and how to overcome them. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. What are serverless applications?

Serverless 196

Serverless Lambda Azure AWS 196

Dynatrace

FEBRUARY 1, 2024

The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 252

Engineering Efficiency Azure Monitoring 252

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 196

Cache Azure Infrastructure Monitoring 196

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. What is causal AI?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

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 236

AWS Efficiency Azure Cloud 236

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. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. billion in 2020 to $4.1 Accelerated innovation.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.

Innovation 208

Innovation Infrastructure DevOps Azure 208

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

AWS 201

AWS Cloud Lambda Azure 201

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

Performance 224

Performance Analytics Mobile Innovation 224

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Automatically detect all applications, services, processes, and infrastructure at the start. Service mesh. Real user monitoring (RUM).

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. Operations teams can run more efficiently. Dynatrace news.

Cloud 168

Cloud Infrastructure Innovation Monitoring 168

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

NOVEMBER 29, 2021

It also protects your development infrastructure at scale with enterprise-grade security. Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Scale and manage infrastructure.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. appeared first on Dynatrace blog. Networking.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Many organizations that have taken on DevOps methodologies still struggle with efficiency given tool fragmentation.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. Here are three.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. .

Efficiency 52

Efficiency Software Software Azure 52

Dynatrace

JULY 13, 2020

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? AKS (Microsoft Azure) . Cloud Native DevOps with Kubernetes : . Cloud-native?

Google 131

Google Ecommerce DevOps Cloud 131

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 13, 2020

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? AKS (Microsoft Azure) . Cloud Native DevOps with Kubernetes : . Cloud-native?

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

MAY 31, 2021

However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. Cloud-native refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure-as-code. Self-healing.

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Percona

FEBRUARY 24, 2023

Over-provisioned instances may lead to unnecessary infrastructure costs. Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

FEBRUARY 9, 2021

The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. A broad range of infrastructure components, open data frameworks, mobile platforms and frameworks (iOS, Android, Flutter, Xamarin, React, and others), and many more are also fully supported.

Software 141

Software Software Technology Technology 141

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. To cut through the noise of observability on such a scale, AI is a prerequisite.

Cloud 160

Cloud DevOps Speed Metrics 160

Dotcom-Montior

OCTOBER 19, 2021

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Terraform is an open-source software from HashiCorp that is considered an IaC, or Infrastructure-as-code solution. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

Tasktop

APRIL 29, 2020

In this blog, I will be talking about reviewing toolchain data fragmentation to get to the ground truth of the flow of work between the software delivery teams building and supporting your software products. Different work states across multiple workflows. Multiple frameworks and measurements. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69

Dynatrace

JUNE 1, 2021

Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

FEBRUARY 19, 2022

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Terraform is an open-source software from HashiCorp that is considered an IaC, or Infrastructure-as-code solution. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Source: FileFlex. Cost-Saver.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Testsigma

JULY 31, 2021

Automated testing software can help you execute test cases swiftly and efficiently; from regression testing to offering a wider test coverage — you can achieve plenty with the right tool. From learning and upgrading to staffing and infrastructure — there are plenty of costs involved. Allow us to explain.

Mobile 52

Mobile Software Software Testing 52

Percona

JULY 1, 2023

In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS. Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. You can find more about these in the For The Techies section at our blog. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene.

Architecture 52

Architecture Cache Azure Storage 52