Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

SEPTEMBER 13, 2023

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

NOVEMBER 2, 2023

The result is smarter, data-driven solutions designed to manage cloud spend. FinOps becomes more critical as organizations grow The value of FinOps lies in its potential to move organizations toward financial success with smart, cost-efficient cloud spend implemented from day one. What is FinOps?

Cloud 205

Cloud Strategy Retail Energy 205

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. There is a default bucket for each table. Here is the list of tables and corresponding default buckets in Grail.

Artificial Intelligence 268

Artificial Intelligence Analytics Metrics Storage 268

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 200

Analytics Processing Transportation Storage 200

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. Our API-first design promotes automation.

Metrics 103

Metrics Efficiency Monitoring Azure 103

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Thus, organizations face the critical problem of designing and implementing effective solutions to manage this growing data deluge and its associated implications.

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

Dynatrace

JULY 7, 2022

As the demand for services grows and containerized applications deploy across multicloud environments, organizations need a more flexible, cohesive approach for designing and developing a distributed systems architecture. Experienced developers see microservice design patterns as more platform-agnostic.

Architecture 209

Architecture Serverless Azure Programming 209

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

JUNE 7, 2023

A typical design pattern is the use of a semantic search over a domain-specific knowledge base, like internal documentation, to provide the required context in the prompt. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 171

Monitoring Latency Metrics Azure 171

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 215

Open Source Social Media Infrastructure Operating System 215

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

Strategy 130

Strategy Cloud Government Innovation 130

Tasktop

JULY 17, 2019

The answer is Flow Metrics. Flow Metrics, as set out by the Flow Framework , expose big picture problems to help you make better business decisions. Even better, Flow Metrics use a language that business people can understand. 5 Everyday Problems Exposed by Flow Metrics. Here’s where a speed metric is useful.

Metrics 40

Metrics Software Software DevOps 40

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. . But this doesn’t come without problems.

Efficiency 52

Efficiency Software Software Azure 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. Key metrics for OpenShift monitoring. It also protects your development infrastructure at scale with enterprise-grade security.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. become the responsibility of AWS, GCP, or Azure.

Cloud 119

Cloud Serverless AWS Storage 119

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

MAY 31, 2021

This virtualization makes it possible to efficiently deploy and securely run a container independently of the hosting infrastructure. Kubernetes design principles. To understand how Kubernetes works and how to best use it, it’s good to understand the motivations behind its design. Declarative. Kubernetes architecture: a primer.

Virtualization 134

Virtualization DevOps Infrastructure Cloud 134

Dotcom-Montior

OCTOBER 19, 2021

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. The key difference between Nomad and Kubernetes is that Nomad is designed for the Unix operations system. Kubernetes. Nomad is another container orchestration platform.

Engineering 86

Engineering Open Source Programming Monitoring 86

Tasktop

APRIL 29, 2020

While the software delivery process may seem linear and repeatable, in reality it’s an iterative creative process of software design with high variability, unique output and unpredictable economics. This work upstream (before a release) is long, unpredictable and unmeasured. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

FEBRUARY 19, 2022

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. The key difference between Nomad and Kubernetes is that Nomad is designed for the Unix operations system. Kubernetes. Nomad is another container orchestration platform.

Engineering 52

Engineering Open Source Programming Monitoring 52

Tasktop

JANUARY 9, 2020

Even better, we can glean valuable end-to-end system data that can be used for higher-level business-centric Flow Metrics , empowering you to generate more business value through your software delivery. . Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all.

Software 59

Software Software Metrics Database 59

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Level of concurrent writes. Egnyte Connect Tech Stack.

Architecture 52

Architecture Cache Azure Storage 52

Percona

JULY 1, 2023

With its support for MySQL and PostgreSQL, and its automated replication and backup capabilities, it’s designed to deliver high performance, scalability, and availability to meet the needs of mission-critical applications. This eliminates the need for complex or scripted backup procedures and designated backup windows.

AWS 52

AWS Database Serverless Storage 52

Scalegrid

JUNE 11, 2019

Open source databases are free community databases with the source code available to the general public to use, and may be modified or used in their original design. This allows organizations to share resources between public and private clouds to improve their efficiency, security, and performance. Commercial Databases.

Open Source 55

Open Source Database Cloud Infrastructure 55