Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. documentation.

Technology 218

Technology Technology Metrics Infrastructure 218

Dynatrace

AUGUST 10, 2023

There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database. Dynatrace extensions can easily query data from various databases and store the results in Grail™, the Dynatrace data lakehouse. This can be accomplished using Dynatrace extensions.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

MARCH 29, 2024

The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. This year, Google’s event will take place from April 9 to 11 in Las Vegas.

Google 262

Google Innovation Cloud Analytics 262

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

DECEMBER 9, 2020

If you’re running SAP, you’re likely already familiar with the HANA relational database management system. HANA maintains all the business and analytics data that your business runs on. Dynatrace ActiveGate extensions allow you to integrate Dynatrace monitoring with any remote technology that exposes an interface.

Infrastructure 201

Infrastructure Database Monitoring Metrics 201

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

MARCH 29, 2023

AlloyDB is a fully managed, PostgreSQL-compatible database service for highly demanding enterprise database workloads. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.

Google 221

Google Metrics Cloud Analytics 221

Dynatrace

OCTOBER 7, 2020

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. Because you can now seamlessly report non-topological metrics, you can now use Dynatrace as a metric database. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 245

Metrics Analytics Storage Monitoring 245

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. The sheer number of permutations can break traditional databases.

DevOps 184

DevOps Analytics Storage Metrics 184

VoltDB

FEBRUARY 28, 2018

At first glance, it may seem like a new type of database. However, a closer look shows that blockchain and translytical databases are better together. Blockchain as a Database Isn’t Enough for the Enterprise. NewSQL Databases for Blockchain Innovation. But there’s still plenty of confusion surrounding the topic.

Blockchain 45

Blockchain Technology Technology Database 45

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 182

Infrastructure Metrics Network Monitoring 182

VoltDB

FEBRUARY 28, 2018

At first glance, it may seem like a new type of database. However, a closer look shows that blockchain and translytical databases are better together. Blockchain as a Database Isn’t Enough for the Enterprise. NewSQL Databases for Blockchain Innovation. But there’s still plenty of confusion surrounding the topic.

Blockchain 40

Blockchain Technology Technology Database 40

Dynatrace

JANUARY 31, 2024

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. However, RAG is not perfect and raises various challenges, particularly concerning the use of vector databases and semantic caches.

Cache 205

Cache Azure Infrastructure Monitoring 205

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

The Netflix TechBlog

JULY 15, 2021

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. What keeps me engaged and enjoying data engineering is giving super-suits and adrenaline shots to analytics engineers and data scientists. What drew you to Netflix? serving members in over 190 countries.

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

Dynatrace

SEPTEMBER 30, 2021

As an AWS Advanced Technology Partner , this was a great opportunity for Dynatrace developers to sharpen their AWS skills and pursue or up-level their Amazon certifications. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Data analytics.

AWS 210

AWS Best Practices Analytics Cloud 210

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Leverage log analytics for additional context. Dynatrace news.

Cloud 260

Cloud Azure Analytics Open Source 260

Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. As technology advances, so do the trends and techniques in this field.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

AUGUST 28, 2023

Technology to the rescue? Watch this 30-minute webinar to see how Mitchells & Butlers leverages real-time, context-rich analytics to optimize process efficiencies, discover and respond to dynamic customer behavioral patterns, and drive confident business decisions.

Retail 203

Retail Logistics Innovation Analytics 203

Dynatrace

SEPTEMBER 12, 2022

This placement recognizes Dynatrace’s focus on customers and pushing the art of what’s possible in AI and automation as it’s applied to observability, security, and business analytics. Dynatrace’s core technologies, such as OneAgent , receive data from everything along your application delivery. Why is Dynatrace ahead of the pack?

Strategy 130

Strategy DevOps Analytics Cloud 130

High Scalability

JANUARY 11, 2022

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334

Design Media Storage Logistics 334

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

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 112

Big Data Analytics AWS Scalability 112

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

High Scalability

NOVEMBER 23, 2018

has been a key to success in many technological endeavors and to lead in many scientific domains. Waqas Dhillon : The goal of in-database machine learning is to bring popular machine learning algorithms and advanced analytical functions directly to the data, where it most commonly resides – either in a data warehouse or a data lake.

Internet 174

Internet Internet Scalability Analytics 174

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 148

Azure Cloud Big Data Virtualization 148

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Don’t reinvent the wheel.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

FEBRUARY 16, 2023

In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake.

Analytics 186

Analytics Innovation Metrics Database 186

Dynatrace

DECEMBER 21, 2023

A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). How will your organization respond to this global challenge? Many of the same principles can be applied to green coding.

Cloud 209

Cloud Energy Best Practices Cache 209

All Things Distributed

AUGUST 19, 2011

Job Openings in AWS - Senior Leader in Database Services. This week it is an opening for senior leaders with AWS Database Services. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. Comments (). Contact Info. Werner Vogels.

AWS 77

AWS Database Storage Scalability 77

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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

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. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

Scalegrid

DECEMBER 6, 2023

The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Database as a Service (DBaaS) and managed databases offer distinct advantages along with certain challenges.

Database 130

Database Cloud Hardware Storage 130

High Scalability

JUNE 19, 2018

With out-of-the-box dashboards and seamless integrations with over 200 technologies, Datadog provides end-to-end visibility into the health and performance of modern applications at scale. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data.

Metrics 125

Metrics Software Engineering Engineering Infrastructure 125

Dynatrace

NOVEMBER 18, 2021

With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. New to Dynatrace?

Analytics 224

Analytics Cloud Java Serverless 224

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Their technology stack looks like this: Spring Boot-based Microservices. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. 3 Log Analytics. Full-stack observability. End-to-end code-level tracing.

AWS 127

AWS Monitoring Ecommerce Lambda 127