Dynatrace

DECEMBER 8, 2022

They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Belgian engineer Patrick Debois coined the term “DevOps” in 2009 when he needed a Twitter hashtag for DevOpsDays, an agile systems administrators conference in Europe. Amazon Web Services (AWS).

DevOps 196

DevOps Engineering Testing Open Source 196

Dynatrace

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. In this case, the bank group could not rely solely on Google Cloud Trace because they needed to collect traces and monitor the applications across all their systems.

Open Source 198

Open Source Google Serverless Azure 198

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. They are required to understand the full story of what happened in a system.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

SEPTEMBER 17, 2019

AWS EKS for Integration and Production. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables. 4 AWS EFS monitoring. NGINX as an API Gateway. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source 346

Open Source Java Operating System Programming 346

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

AUGUST 26, 2020

For more information, see Managed system requirements. Cloud Foundry and Azure buttons on Deploy Dynatrace page now open pages in new tabs. For AWS load balancers, more detailed information about the number of affected EC2s is now visualized. Installation and update. CentOS 8.2. Suse Enterprise Linux 15.2. Synthetic monitoring.

Azure 244

Azure Metrics Monitoring Cloud 244

Dynatrace

NOVEMBER 20, 2023

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. 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.

AWS 213

AWS Artificial Intelligence Analytics Cloud 213

High Scalability

APRIL 16, 2019

Thus, whenever a master MySQL goes down (whether due to a MySQL crash, OS crash, system reboot, etc.), This ensures that the system continues to be available to the applications. Now, Pacemaker on the partition [(S1), (S2)] detects that there is no master available in the cluster and initiates a promotion process.

Availability 149

Availability Network Azure AWS 149

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. This process can delay deployments or cause developers to skip security testing completely to meet project deadlines.

Cloud 181

Cloud Open Source Architecture Monitoring 181

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

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. The benefit is scalability.

Azure 174

Azure AWS DevOps Cloud 174

Abhishek Tiwari

JULY 22, 2023

To address these challenges, the concept of "Shift Left" has gained prominence, emphasizing the early integration of compliance checks in the software development process. By integrating policy as code frameworks into CI/CD pipelines, compliance checks are seamlessly integrated into the development process.

AWS 52

AWS Best Practices Infrastructure Traffic 52

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. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. Read eBook now!

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 138

Azure Serverless IoT Lambda 138

Adrian Cockcroft

APRIL 7, 2023

AWS calls this an Insufficient Capacity Exception (ICE) and works very hard to avoid it. There were problems reported on Azure during the COVID lockdown where lots of people were suddenly working from home and the global change in workload mix meant that capacity ran out in some regions.

Energy 52

Energy AWS Azure Cloud 52

Dynatrace

JULY 23, 2020

Of course, we could define a static threshold for each disk within the IT system. This release extends auto-adaptive baselines to the following generic metric sources, all in the context of Dynatrace Smartscape topology: Built-in OneAgent infrastructure monitoring metrics (host, process, network, etc.). Custom log metrics.

Metrics 215

Metrics Innovation Strategy Monitoring 215

Percona

JANUARY 24, 2023

AWS EBS Snapshots). For the major clouds, read the following docs: Google – Documentation on Volume Snapshots for GKE AWS – Using EBS Snapshots for persistent storage with your EKS cluster Azure – AKS CSI documentation Once you have CSI configured and Volume Snapshot Class is in place, proceed to create a backup.

Database 67

Database Storage Open Source AWS 67

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. When providing some functionality for processing a file uploaded by the user, the file must be available to the process throughout the execution. Leonardo Losoviz. 2018-11-08T12:30:30+01:00. 2019-04-29T18:34:58+00:00.

AWS 44

AWS Servers Storage Cloud 44

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

Scalegrid

JANUARY 3, 2020

ScaleGrid provides full admin access to your MySQL deployments – this makes it easier to integrate the existing MySQL ecosystem of tools with your ScaleGrid MySQL deployments on AWS or Azure. Create a Prometheus System Group & User. cat /etc/systemd/system/prometheus.service. sudo mkdir /var/lib/prometheus.

Monitoring 164

Monitoring Metrics Servers Database 164

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Focus on Application Development.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Morning Paper

MARCH 8, 2020

have altered the many assumptions that guided the design and optimization of the Snowflake system. Traditional data warehouse systems are largely based on shared-nothing designs: persistent data is partitioned across a set of nodes, each responsible for its local data. joins) during query processing. S3 on AWS).

Storage 112

Storage Engineering Cache Serverless 112

Testsigma

JUNE 23, 2021

Testsigma offers seamless integrations with a wide range of CI/CD tools such as Jenkins, Azure DevOps, AWS DevOps, AWS Lambda, CircleCI CI/CD, Bamboo CI/CD, Travis CI/CD, CodeShip CI/CD. Parallel execution of test cases not only brings the execution time down significantly but also optimizes the process of software deployment.

Speed 52

Speed Software Software DevOps 52

cdemi

DECEMBER 4, 2016

The service retrieves the messages from the queue and processes them. Requests from a number of different tasks, which can be generated at a highly variable rate , can be passed to the service through the same message queue and will be processed at a constant rate that the service can work at.

Design 47

Design Azure Scalability Latency 47

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Pay Per Use.

Serverless 245

Serverless Efficiency Lambda Azure 245

Percona

APRIL 12, 2023

Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. and partners) and in the process, stifling the upstarts, the truly open source little folks dreaming big. looking out for MongoDB Inc.

Open Source 82

Open Source Programming Database Servers 82

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

APRIL 16, 2019

Thus, whenever a master MySQL goes down (whether due to a MySQL crash, OS crash, system reboot, etc.), This ensures that the system continues to be available to the applications. Now, Pacemaker on the partition [(S1), (S2)] detects that there is no master available in the cluster and initiates a promotion process.

Availability 35

Availability Network Azure AWS 35

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. of #PostgreSQL cloud deployments are run on AWS Click To Tweet.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. These containers are software packages that include all the relevant dependencies needed to run software on any system. Process portability. million in 2020. The solution: container as a service.

Serverless 221

Serverless Azure Hardware Transportation 221

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Orchestrate processes and workloads between environments. Scale and provision new resources.

Infrastructure 186

Infrastructure Cloud Azure AWS 186