Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI-enabled chatbots can help service teams triage customer issues more efficiently. Once organizations can unify their data in a trusted cloud observability platform, they can act on—and trust—the insights they gather.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. Dynatrace news. What is GitOps? GitOps improves speed and scalability.

DevOps 234

DevOps Infrastructure Speed Cloud 234

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 229

Google Cloud Serverless Innovation 229

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities.

Open Source 201

Open Source Storage Analytics Innovation 201

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 223

Analytics Storage Retail Monitoring 223

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 80

Cloud Open Source Strategy Best Practices 80

DZone

JANUARY 23, 2022

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. In today's world, cloud providers take care of the rest usually. Again the approach here is the same.

Hardware 243

Hardware DevOps Network Storage 243

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

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 190

Analytics Storage Retail Monitoring 190

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 119

Cloud Serverless AWS Storage 119

Dynatrace

OCTOBER 4, 2022

This is because logs may be generated from thousands of applications, built by different teams, and spread across a complex global landscape of cloud and on-premises environments. In most data storage models, indexing engines enable faster access to query logs. A modern approach to log analytics stores data without indexing.

Analytics 230

Analytics Storage Infrastructure Metrics 230

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 218

Analytics Monitoring Artificial Intelligence DevOps 218

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 256

AWS Efficiency Azure Cloud 256

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

OCTOBER 14, 2022

To control local network data volume and potential congestion, Dynatrace also allows filtering of log data on-source—by specific host, service, or even log content—before data is sent to the cloud. It’s delivered in three parts: New log storage configuration is available in Dynatrace version 1.252 and requires OneAgent 1.243+.

Storage 236

Storage Government Network Infrastructure 236

Dynatrace

NOVEMBER 29, 2021

Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Dynatrace news. What is OpenShift? The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

SEPTEMBER 30, 2021

Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Core AWS certifications.

AWS 218

AWS Best Practices Analytics Cloud 218

Dynatrace

AUGUST 21, 2023

It’s so big that all three major cloud providers are building OpenTelemetry into their own platforms. Using the Trace Context standard, OpenTelemetry provides agreement about the fields and data types that determine the start and end of each span of a trace among endpoints, middleware, and the cloud services that connect them.

Open Source 205

Open Source Analytics Lambda Metrics 205

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. Started years ago with a focus on cloud management, Terraform built a massive community around its open-source license–up until two weeks ago, but more on that later. ‍Terraform is a revolution in the way we handle infrastructure.

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

FEBRUARY 16, 2023

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Kubernetes makes spans longer,” Ortner explains.

Analytics 195

Analytics Innovation Metrics Database 195

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. Unlike CloudFormation, which was confined to AWS resources, Terraform was designed with a multi-cloud approach in mind. Terraform is a revolution in the way we handle infrastructure. AutomationCode-based systems also shine in automation.

Open Source 40

Open Source DevOps AWS Azure 40

InfoQ

JUNE 26, 2023

Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. By Steef-Jan Wiggers

Azure 85

Azure Serverless Performance Storage 85

Tasktop

MAY 17, 2021

Gene Kim, author of The DevOps Handbook and The Unicorn Project. Technology : Improve Flow Efficiency by 10% (this metric is the percentage of time that your Flow Items (features, defects, debt, risk) are actively being worked on compared to the total time spent in the value stream) . The result was reducing storage costs by 75%.

DevOps 59

DevOps Metrics Innovation Storage 59

Abhishek Tiwari

JULY 22, 2023

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Abhishek Tiwari

JANUARY 6, 2018

Telepresence is an open source tool that lets you debug a service locally while keeping the connection with its dependency services hosted in a remote Kubernetes cluster and remote cloud resources like a database. Marmot is a workflow execution engine from Google for processing workflows targeting DevOps/SRE needs. Amazon S3).

Open Source 111

Open Source DevOps Storage Engineering 111

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Automation Via Distributed Cloud. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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. Software providers handle maintenance and upgrades on their own; this means you can focus on testing and shipping efficient products.

Mobile 52

Mobile Software Software Testing 52

Testsigma

DECEMBER 1, 2020

It consists of a combination of right practices and tools which help QA to test the software more effectively and efficiently. Building an efficient testing automation framework takes time but it is worth the efforts considering the long-term benefits. It is specially built for the teams of today that are Agile and are using DevOps.

Testing 62

Testing Website DevOps Mobile 62

Dynatrace

AUGUST 5, 2019

I wear many hats in my job and while I officially call myself a “ DevOps Activist “, my official title at Dynatrace is Director of Strategic Partners. The key question we keep getting from our customers is: How can Dynatrace help me reduce risk, move faster and achieve a better business outcome for my cloud migration project?

Cloud 31

Cloud Traffic Database Network 31

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This can mean that instead of failing completely, a system continues to operate, but possibly at a reduced level of efficiency. Networking equipment (switches, routers, etc.)

Availability 108

Availability Database Open Source Hardware 108

Dynatrace

JUNE 8, 2021

At Dynatrace, our Autonomous Cloud Enablement (ACE) team are the coaches or teach and train our customers to always get the best out of Dynatrace and reach their objectives. Creating a dashboard reporting your relevant KPI. Transform your KPI into an SLO. Often, in sport, athletes have coaches who help achieve their objectives.

Metrics 173

Metrics Tuning Programming Systems 173

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52