Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 168

Cloud Ecommerce Performance Retail 168

Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 237

Engineering Development DevOps Infrastructure 237

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. Using buckets to query only the data you need significantly speeds up queries and reduces query costs. Keeping these logs separate decreases the data volume for other troubleshooting logs. This allows you to query data from a specific bucket.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

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 AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process. We’ve seen a doubling of Kubernetes usage in the past six months,” Steve said.

Performance 232

Performance Analytics Mobile Innovation 232

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. Ortner reviewed the process of solving these issues. “We

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 243

AWS Efficiency Azure Cloud 243

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Read also – Multi Cloud vs Hybrid Cloud Strategy Importance of Hybrid Cloud Strategy A hybrid cloud configuration can act as an accelerator, propelling your enterprise forward.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Smashing Magazine

AUGUST 25, 2022

How do I account for different network speeds in different environments? This solution is fine when network speeds are fast, but it can be problematic when network speeds are not fast (or fluctuate). And if there is one thing we all know — we cannot control the speed network our customers are using.

Media 106

Media Speed Network Analytics 106

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

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

Dynatrace

JANUARY 5, 2022

In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. While the test step, use case, and thread group name context are helpful we also want to speed up the analysis of individual requests that fail. from other test tools or real users).

Testing 214

Testing Open Source Metrics Infrastructure 214

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. This leads us to the process page of our specific Apache instance.

Metrics 168

Metrics Monitoring Database Network 168

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

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. The need for speed has never been more urgent in today’s hyper-digital age. 2021 DevOps Report.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

The Morning Paper

SEPTEMBER 19, 2019

Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Could it be Analyzing efficient stream processing on modern hardware ?

Blockchain 46

Blockchain Hardware Google Analytics 46

Dynatrace

MAY 28, 2020

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

Engineering 189

Engineering Performance Metrics Best Practices 189

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. These clusters are in high demand and approximate query processing both saves their users time and lightens the overall load on the cluster.

Big Data 57

Big Data Analytics Latency Azure 57

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. Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. The disconnect between the business and Agile development.

Development 45

Development DevOps Google Innovation 45

Smashing Magazine

JUNE 1, 2022

These services use requests to external hosts (not servers you control) to deliver JavaScript framework libraries, custom fonts, advertising content, marketing analytics trackers, and more. The most popular, by far, is the Google Lighthouse report (available in Chrome Developer Tools) and Google’s Page Speed Insights. Large preview ).

Website 131

Website Design Network Best Practices 131

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. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63

Smashing Magazine

NOVEMBER 15, 2021

Includes dozens of themes and plugins and is built on speed and stability. htop is an interactive process viewer, originally Linux-only but now cross-platform, that aims to improve on the Linux top command by providing extra features when viewing running processes. Large preview ). Large preview ). Large preview ). GitHub CLI.

Development 133

Development Google Storage Open Source 133

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. Kubernetes.

Architecture 52

Architecture Cache Azure Storage 52