ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Dynatrace news.

Architecture 241

Architecture Software Software Development 241

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services.

Best Practices 221

Best Practices Strategy Cloud AWS 221

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

DECEMBER 8, 2022

They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. DevOps teams are responsible for all phases of the software development lifecycle, from code commit to the deployment of products and services. Infrastructure as code (IaC) configuration management tool.

DevOps 180

DevOps Engineering Testing Open Source 180

Scalegrid

APRIL 5, 2024

It enhances scalability and manages traffic surges, though it requires specific client support and limits multi-key operations to a single hash slot. It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance.

Scalability 130

Scalability Efficiency Java Database 130

Dynatrace

AUGUST 16, 2021

These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Providing standardized self-service pipeline templates, best practices, and scalable automation for monitoring, testing, and SLO validation. GitHub and GitHub Actions.

Software 245

Software Software Open Source Azure 245

High Scalability

JULY 20, 2018

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. They are very expensive. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Scalability is a major feature of GCF. GCF also has relevance in IoT and file processing tasks. Image courtesy of Google.

Google 211

Google Cloud Serverless Azure 211

High Scalability

JUNE 15, 2018

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? Most of use who started coding in the 80s started with BASIC. They'll love you even more. We turned out just fine.

Internet 113

Internet Internet Scalability Blockchain 113

Dynatrace

JULY 7, 2022

One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code.

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. Taken together, these features enable organizations to build software that is more scalable, reliable, and flexible than traditionally built software.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Our customers usually involve us 2-4 weeks before the production release.

Testing 206

Testing Open Source Metrics Infrastructure 206

Tasktop

JANUARY 13, 2021

Our ongoing work with a Fortune 500 healthcare company illustrates just how important a seamless incident management process is to ensure product stability, and customer and employee happiness. Some teams use Jira, and others use Azure DevOps depending on the product value stream. Automating Your Incident Management Process.

Azure 52

Azure DevOps Healthcare Metrics 52

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. 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

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. Getting security right in a multi-cloud setup means doing a few key things.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

FEBRUARY 9, 2021

All technologies and extensions provide or permit additional contexts, like user sessions and experience, interdependencies between components, or code-level information in addition to the three pillars of observability (traces, metrics, and logs). Our goal is to make this process simple, scalable, and enjoyable.

Software 141

Software Software Technology Technology 141

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.

Cloud 158

Cloud Traffic Best Practices Strategy 158

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

NOVEMBER 29, 2021

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. Along with security and developer convenience features, OpenShift and Kubernetes integration takes scalability to a further level.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

FEBRUARY 10, 2021

Critical success factors – velocity, resilience, and scalability. Automated, closed-loop remediation of releases that fail in production, combining AI-powered root-cause analysis to pinpoint issues with the code, and orchestration by Keptn, to automatically execute remediation runbooks without manual intervention.

Cloud 160

Cloud DevOps Speed Metrics 160

Dynatrace

JULY 9, 2020

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. The Dynatrace teams also built automation on top of Dynatrace to automate many tasks of our Continuous Delivery & Feedback (CDF) and operational processes.

Cloud 179

Cloud DevOps Azure Architecture 179

Dynatrace

NOVEMBER 17, 2020

Technical complexity has shifted from the actual code to the interdependencies between services. In 2006, Dynatrace released the first production-ready solution for distributed tracing with code-level insights. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

MAY 17, 2023

However, this method limited us to instrumenting the code manually and collecting specific sets of data we defined upfront. It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment.

Metrics 163

Metrics Monitoring Database Network 163

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp. ‍Why Manage Infrastructure by Code?‍‍If

Open Source 52

Open Source DevOps AWS Infrastructure 52

Dynatrace

APRIL 30, 2019

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Bamboo, Azure DevOps, AWS CodePipeline …. Pitometer is a Node.js Pitometer is set of Node.js

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JULY 13, 2020

DevOps and Continuous delivery: R evolution in the process, the way people and organizations delivering software work . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? How do you make it scalable? .

Google 131

Google Ecommerce DevOps Cloud 131

Dynatrace

JULY 13, 2020

DevOps and Continuous delivery: R evolution in the process, the way people and organizations delivering software work . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? How do you make it scalable? .

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

MAY 31, 2021

DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work. Cloud-native refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure-as-code. How do you make it scalable?

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? For example, these execution pipelines could process a stock market feed to compute the average stock price for all equities over the previous hour and trigger an alert if an equity moves up or down by a certain percentage.

Analytics 69

Analytics Azure Processing Speed 69

Particular Software

JUNE 20, 2022

Like the rows of shrubs in a hedge maze, the logical partitions that divide data must be carefully planned, because that affects the scalability of the system and defines the boundaries for logical transactions. We’ve also added pessimistic concurrency support for more reliable processing of sagas with high contention patterns.

Azure 52

Azure Strategy Storage Tuning 52

IO River

NOVEMBER 2, 2023

Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In the example above, we're using Terraform to set up an access rule on Cloudflare. This rule challenges requests coming from known Tor exit nodes.

Open Source 40

Open Source DevOps AWS Infrastructure 40

High Scalability

SEPTEMBER 28, 2018

MrTonyD : I was writing production code over 30 years ago (C, OS, database). It used to be a very high autonomy job - where you were trusted to figure out your work process and usually given lots of freedom to dynamically define many of your deliverables (within reason). I acknowledge that. I could go on and on. There more.

Internet 35

Internet Internet Scalability Blockchain 35

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52