Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.

Efficiency 216

Efficiency Virtualization Hardware Performance 216

Dynatrace

MARCH 27, 2024

Modern enterprises today use a myriad of enterprise Software-as-a-service (SaaS) applications and productivity suites to run business operations, such as Microsoft 365, Google Workspace, Salesforce, Slack, Zendesk, Zoom, GitHub, and many more. Leckenby, senior director worldwide alliance sales at Dynatrace.

AWS 248

AWS Analytics Government Monitoring 248

The Netflix TechBlog

OCTOBER 28, 2021

Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team. Before joining Netflix, she worked in the advertising and e-commerce industries as a backend software engineer. Pallavi received her master’s degree from Carnegie Mellon.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JANUARY 22, 2024

Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and analytics have become a particular challenge. Data lakehouse architecture addresses data explosion.

Cloud 179

Cloud Artificial Intelligence Innovation Analytics 179

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 239

Retail Storage Best Practices Architecture 239

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Log management and log analytics have become a particular challenge. Data lakehouse architecture addresses data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 193

Analytics Software Software Storage 193

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 136

Analytics Cloud Healthcare Retail 136

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Check out our Power Demo: Log Analytics with Dynatrace. What is AWS Transit Gateway?

AWS 220

AWS Transportation Network Traffic 220

Dynatrace

APRIL 26, 2022

RUM is passive monitoring that measures a user’s interactions with an application — typically with a JavaScript tag for web applications or a software development kit (SDK) for native mobile apps. Real-user monitoring (RUM). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 206

Monitoring Social Media IoT Metrics 206

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Machine Learning – Specialty: Data scientists or software developers who already have some exposure to machine learning in AWS may find this certification worthwhile. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS 212

AWS Best Practices Analytics Cloud 212

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. Amazon EC2. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale.

Best Practices 214

Best Practices AWS Monitoring Serverless 214

Dynatrace

MAY 21, 2023

Modern observability enables log forensics Dynatrace is a software intelligence platform that provides deep visibility into and understanding of applications and infrastructure. It started as an observability platform; over time, it has expanded to provide real user monitoring, business analytics, and security insights.

Analytics 232

Analytics Metrics Cloud Systems 232

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding skills required, you can declare extensions in a human-readable YAML format and activate them in your environment via the Dynatrace Software Intelligence Hub.

Technology 219

Technology Technology Metrics Infrastructure 219

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 249

AWS Efficiency Azure Cloud 249

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 195

Analytics Processing Transportation Storage 195

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. What is PostgreSQL used for?

Open Source 77

Open Source Healthcare Social Media Database 77

Dynatrace

OCTOBER 14, 2022

This allows you to create flexible and powerful log storage configurations on any level by utilizing the unique autodiscovery capabilities of Dynatrace OneAgent or a custom setup. It’s delivered in three parts: New log storage configuration is available in Dynatrace version 1.252 and requires OneAgent 1.243+. Try it out yourself.

Storage 229

Storage Government Network Infrastructure 229

Dynatrace

DECEMBER 20, 2021

Replay software also captures web assets such as CSS so it can create accurate recordings even if your website changes. Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Transparent?

Mobile 248

Mobile Website Analytics Cache 248

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes.

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. With answer-driven software intelligence across a massive data set, teams can build, evaluate, and share insights to solve wider problems and explore new projects. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 104

Performance Monitoring Traffic Database 104

Dynatrace

NOVEMBER 17, 2020

With these release candidate APIs available, instrumentation for web frameworks, storage clients, and much more can be built. We sat together with Armin Ruech and Daniel Dyla, software engineers at Dynatrace and leaders within the OpenTelemetry community, to hear about their involvement with the second most active CNCF project.

Open Source 152

Open Source Software Engineering Government Java 152

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52