Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. Platform engineering best practices for delivering a highly available, secure, and resilient Internal Development Platform: Centralize and standardize.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

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 154

Analytics Technology Technology Cloud 154

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. This goal isn’t limited to observability efforts. Ingest and process with Grail.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. AppEngine provides a runtime environment that automatically scales the environment, ensuring the application is highly available and performing healthily.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

OCTOBER 23, 2023

Therefore, they experience how the application code functions and how the application operations depend on the underlying hardware resources and the operating system managed by Hyper-V. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension.

Efficiency 210

Efficiency Virtualization Hardware Performance 210

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 221

Lambda AWS Serverless Latency 221

The Netflix TechBlog

MARCH 5, 2019

The second approach is on the diagnosis side: data teams measure the impact of outages and expose patterns across their occurrence, as well as provide a connected view of micro-service-level availability. Reliability How can we guarantee that a code change will be safe when rolled out to our production environment?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function?

Lambda 212

Lambda AWS Serverless Latency 212

Dynatrace

DECEMBER 11, 2023

It’s open source, allows for great scalability with the possibility to run workloads on the cloud and on-premises Kubernetes clusters, and is easily extensible via plugins. These include: Deployment frequency: How often is code deployed? Lead time for changes: How long does it take to get committed code into production?

Open Source 185

Open Source Analytics Metrics Cloud 185

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

FEBRUARY 15, 2023

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. Not only are these approaches difficult and costly to maintain, they also lack proper security and scalability.

Government 162

Government Serverless Analytics Metrics 162

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 183

Systems Cloud Analytics DevOps 183

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

DECEMBER 10, 2019

The problem with this approach is that important insights requiring quick action are not immediately available. Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

The problem with this approach is that important insights requiring quick action are not immediately available. Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

The problem with this approach is that important insights requiring quick action are not immediately available. Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data.

Code 52

Code Analytics Healthcare IoT 52

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. From here, it’s time to consider the next level of energy optimization, green coding. Level 3: Green coding The topic of carbon reduction in data centers was new to me when I began digging into it just two years ago.

Cloud 205

Cloud Energy Best Practices Cache 205

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Once you send metrics via the OneAgent REST API, the relevant hosts are automatically enriched with all available monitoring dimensions. To this end, Dynatrace is now available as an output plugin on the backend. Stay tuned.

Open Source 253

Open Source Metrics Analytics Tuning 253

Dynatrace

DECEMBER 15, 2020

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. Seeing is believing.

AWS 174

AWS Metrics Analytics Government 174

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Procella achieves high scalability and efficiency by segregating storage (in Colossus) from compute (on Borg).

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

AUGUST 25, 2023

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. Keeping the app working often requires the services of staff with institutional memory to rewrite and update code bases. Dynatrace provides analytics and automation for unified observability and security.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. These tools integrate tightly with code repositories (such as GitHub) and continuous integration and continuous delivery (CI/CD) pipeline tools (such as Jenkins). What is Docker? Kubernetes.

Open Source 298

Open Source Traffic DevOps Cloud 298

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

Percona

MARCH 30, 2023

In simple terms, an open source database is this: It’s a database with source code that is free and available to all. Public accessibility enables and allows users to download, modify, and distribute the code. Their work produces higher-quality code and enables faster innovation, while maintaining high security standards.

Open Source 77

Open Source Database Storage Scalability 77

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. You’ll benefit through ad hoc analytics to drive real-time collaboration. might be informational (“Promotion code not valid”)?or?they

Retail 132

Retail Analytics Metrics Mobile 132

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. DBaaS provides streamlined management with maintenance-free operations & enhanced security. You are both captain and crew. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

JANUARY 19, 2021

This gives you seamless end-to-end distributed tracing for AWS Lambda functions without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience. Actionable analytics across the?entire Actionable analytics across the?entire entire stack,?including

Lambda 205

Lambda Serverless AWS Mobile 205

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

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. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52