Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Growing AI adoption brings rising cloud costs There are three key reasons that AI costs can spiral out of control: AI consumes additional resources. AI requires more compute and storage.

Strategy 230

Strategy Artificial Intelligence Storage Cloud 230

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 185

Cloud Artificial Intelligence Innovation Analytics 185

Dynatrace

JANUARY 8, 2020

Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. And that includes infrastructure monitoring.

Infrastructure 154

Infrastructure Cloud Monitoring Metrics 154

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

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

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

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.

Analytics 223

Analytics Storage Retail Monitoring 223

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

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 also requires extensive approvals for any development.

DevOps 234

DevOps Infrastructure Speed Cloud 234

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. Enter causal AI.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

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.

Analytics 190

Analytics Storage Retail Monitoring 190

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. Security teams can identify vulnerabilities and automate remediation.

Efficiency 284

Efficiency Performance Analytics DevOps 284

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

DZone

JANUARY 23, 2022

this is addressed through monitoring and redundancy. 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. Redundancy by building additional data centers.

Hardware 243

Hardware DevOps Network Storage 243

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 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

FEBRUARY 2, 2023

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? Metric extraction from business events gives you new options for monitoring, analyzing, and automating your business use cases.

Analytics 210

Analytics Metrics DevOps Storage 210

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

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. 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

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications. Dynatrace news.

Serverless 196

Serverless Azure Lambda AWS 196

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-user monitoring. PostgreSQL & Elastic for data storage. MaaSS for Cloud Architects: Deployment and Architecture Validations.

AWS 128

AWS Monitoring Ecommerce Lambda 128

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

A customer recently told us, “We monitor hosts in our enterprise from more than 50 countries. Some monitoring requirements are the same for all teams; some country teams need to create a subset of rules.”. For example, consider that you need to monitor all NGINX logs across all hosts and Kubernetes nodes for pod logs.

Storage 236

Storage Government Network Infrastructure 236

Dynatrace

AUGUST 21, 2023

If a microservice falls in the forest and all your monitoring solutions report it differently, can operators accurately trace what happened and automate a response? Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event.

Open Source 205

Open Source Analytics Lambda Metrics 205

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

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

Dynatrace

JULY 6, 2022

Organizations everywhere are adopting site reliability engineering (SRE) to cope with the growing complexity of hybrid and cloud-native environments. Indeed, more than 1,000 solutions are now incubating in the Cloud Native Computing Foundation and modern applications comprise thousands of discrete microservices. Dynatrace news.

Best Practices 196

Best Practices Open Source Tuning Infrastructure 196

Dynatrace

APRIL 19, 2023

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision.

Design 201

Design Storage Programming Analytics 201

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

Testsigma

AUGUST 23, 2021

Cloud testing is expected to grow to USD 11 Billion by 2023 , and we are talking about only cloud testing here, not cloud computing. Complex testing scenarios such as cross-browser testing, parallel testing, can be made more effective when done on the cloud. Time is money and cloud-based testing saves it.

Cloud 74

Cloud Testing AWS Testing Tools 74

Dynatrace

OCTOBER 15, 2021

As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. Monitoring begins here. This is common in on-premises or hybrid deployments, where time series data and tags are transmitted to the cloud.

Open Source 227

Open Source Metrics Cloud Transportation 227

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 140

Azure Artificial Intelligence Metrics Innovation 140

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

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. Open source solutions are also making tracing harder.

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. 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. So, What Exactly is Terraform?‍Terraform

Open Source 52

Open Source DevOps AWS Azure 52

Apica

AUGUST 12, 2020

One of the best conversations from the event was a discussion on the five challenges enterprises need to know about testing and monitoring. Below are the five challenges we discussed regarding testing and monitoring. Monitoring Costs. With unlimited funds and resources, monitoring is not overly challenging. Scalability.

Monitoring 52

Monitoring Testing Scalability Hardware 52

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