Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Enterprises that fail to adapt to these innovations face extinction.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 228

Performance Analytics Mobile Innovation 228

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Container orchestration is a process that automates the deployment and management of containerized applications and services at scale. The post What is container orchestration?

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

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

Dynatrace

NOVEMBER 22, 2021

With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability. But most of that budget goes toward running the business—not software innovation. AIOps done right.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. This process can delay deployments or cause developers to skip security testing completely to meet project deadlines.

Cloud 171

Cloud Open Source Architecture Monitoring 171

Dynatrace

NOVEMBER 6, 2023

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. How Azure digital transformation helps There are three ways that Microsoft Azure can help organizations do more with less when it comes to organizations’ digital transformation journeys.

Azure 167

Azure Technology Technology Cloud 167

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

ScaleOut Software

JUNE 22, 2020

Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source. The post The Amazing Evolution of In-Memory Computing appeared first on ScaleOut Software.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

NOVEMBER 20, 2023

Effectively automating IT processes is key to addressing the challenges of  complex cloud environments. Relying on manual processes results in outages, increased costs, and frustrated customers. These three types of AI used together enable more effective IT automation than a single form of AI on its own. What is predictive AI?

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Simplify error analytics.

Serverless 231

Serverless Azure Monitoring Lambda 231

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 130

SQL Server According to Bob

OCTOBER 26, 2017

Enhancing query performance with Adaptive Query Processing in SQL Server 2017. Analysis Services Innovations in SQL Server 2017. Microsoft Data Platform – SQL Server 2017 and Azure Data Services. Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database. Microsoft SQL Server 2017 Deep Dive.

Servers 40

Servers Azure Open Source Database 40

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Simplify error analytics.

Serverless 140

Serverless Azure Monitoring Lambda 140

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 152

Analytics Technology Technology Cloud 152

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation.

Engineering 175

Engineering Development Infrastructure Cloud 175

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 189

Open Source Analytics Lambda Metrics 189

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. To this vital function is workload automation which optimizes scheduling, execution, and monitoring processes for each individual task or process within cloud-based workflows.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 22, 2022

With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. Then, the team set up the provisioning process to include this IAM role in any new AWS account. Step 3: Create a single workflow for unified event management.

Cloud 163

Cloud Lambda Serverless AWS 163

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Increased time spent on innovation. User experience and business analytics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. There is hardly any innovation from traditional CMS vendors. Most of cloud object/blob storage services have native support for static site hosting.

Systems 63

Systems Cache Website Network 63

Tasktop

JUNE 20, 2019

And why, in lieu of a single tool or process, organizations need to identify and eliminate long cycles and wait times within development itself, and beyond. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. The disconnect between the business and Agile development.

Development 45

Development DevOps Google Innovation 45

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Document store. Video Transcoding. Permissions. Recommendations. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52