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 192

Analytics Processing Transportation Storage 192

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

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.

Efficiency 262

Efficiency Architecture Energy Monitoring 262

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. The Dynatrace platform allows security teams to automate continuous discovery, proactively detect anomalies, and optimize across the software lifecycle.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. How does a data lakehouse—the combination of a data warehouse and a data lake—together with software intelligence, bring data insights to life?

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. But legacy, custom software can often prevent systems from working together, ultimately hindering growth. Fed up with the technical debt of traditional platform approaches, IT teams often embrace best-of-breed software-as-a-service solutions.

Innovation 193

Innovation Software Software Cloud 193

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Percona

APRIL 14, 2023

How do you know if your MySQL database caching is operating efficiently? Its main data caching structure for the standard InnoDB storage engine is called Buffer Pool. I strongly believe there’s an important place for this graph on “data caching efficiency” for MySQL in PMM. MySQL does.

Cache 93

Cache Efficiency Database Monitoring 93

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 183

Systems Cloud Analytics DevOps 183

Dynatrace

JUNE 6, 2023

Containerized microservices have made it easier for organizations to create and deploy applications across multiple cloud environments without worrying about functional conflicts or software incompatibilities. Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. Self-healing.

Open Source 189

Open Source Storage Analytics Innovation 189

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. What is predictive AI?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 174

Cloud Artificial Intelligence Innovation Analytics 174

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. But the demand for faster delivery speeds and higher-quality software has demonstrated that current software delivery methods are no longer sufficient.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 243

AWS Efficiency Azure Cloud 243

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

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

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 233

Retail Storage Best Practices Architecture 233

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. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

FEBRUARY 15, 2023

Additionally, its modern architecture delivers cost-effective storage and compute. As a result, teams benefit from low-cost cloud storage that provides access to all data and doesn’t require data rehydration. By using these secure apps, teams are empowered with powerful mechanisms for collaboration and insight-sharing across domains.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

NOVEMBER 4, 2022

Overall, 53% of IT leaders say t he number of tools needed to monitor the end-to-end technology stack makes it difficult to operate efficiently. Each new cloud technology requires a separate tool, and each tool requires different skills to use and interpret the data. . A new approach for the digital age .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. Based on the W3C open standard Trace Context , OpenTelemetry standardizes telemetry data from multiple sources, so organizations have the capacity to deeply analyze software behavior and performance.

Open Source 192

Open Source Analytics Lambda Metrics 192

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 182

Infrastructure Open Source Operating System Cloud 182

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. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway?

AWS 214

AWS Transportation Network Traffic 214

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

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 205

AWS Best Practices Analytics Cloud 205

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

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Real-user monitoring (RUM). Endpoint monitoring (EM).

Monitoring 200

Monitoring Social Media IoT Metrics 200

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 135

Analytics Cloud Healthcare Retail 135

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Check out our Power Demo: Log Analytics with Dynatrace. We invite you to experience the power of the Dynatrace Software Intelligence Platform and sign up for a free 15-day trial.

Traffic 212

Traffic AWS Network Cloud 212

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 106

Performance Monitoring Traffic Database 106

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 223

Storage Government Network Infrastructure 223