Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. What is Docker? Kubernetes.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

DECEMBER 5, 2023

Without an observability platform to collect and process signals, and provide AI-powered answers for problem detection, root cause identification, and impact analysis, the migration to ARM remains only a roadmap item for many AIOps teams. In the following example, a synthetic monitor is set up for webpage uptime monitoring.

Efficiency 268

Efficiency Architecture Energy Monitoring 268

Dynatrace

DECEMBER 15, 2020

It has undergone security analysis and testing in accordance with AWS requirements. As we know how much work intelligent data analysis requires, we embrace the idea of OpenTelemetry to standardize how data is collected and sent to Dynatrace. Stay tuned for more news about the availability of trace ingest in the coming months.

AWS 178

AWS Metrics Analytics Government 178

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. User behavior, on the other hand, provides us with details on user retention, sessions, bounce rates, and user engagement.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

JUNE 9, 2021

Software Composition Analysis (SCA) analyzes applications to detect open-source software (OSS) and third-party components known to have security vulnerabilities or licensing restrictions. Developers include an IAST agent inside each application, and the agent conducts runtime analysis of the application code, memory, and data flow.

Open Source 182

Open Source Entertainment Tuning Internet 182

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. It enables them to adapt to user feedback swiftly, fine-tune feature releases, and deliver exceptional user experiences, all while maintaining control and minimizing disruption.

DevOps 222

DevOps Traffic Efficiency Servers 222

Dynatrace

OCTOBER 8, 2020

By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths. So please stay tuned!

Lambda 297

Lambda AWS Programming Serverless 297

The Netflix TechBlog

JANUARY 10, 2024

Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. In addition to the scalability and the stability that the developers already enjoyed in Reloaded, Cosmos aimed to significantly increase system flexibility and feature development velocity. depending on the use case.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire The new Dynatrace AWS Lambda extension further improves enterprise-grade scalability with low memory overhead, effortless manageability, continuous automation, and granular access-permission controls that support the structures of cloud-native applications teams within large organizations.

Lambda 211

Lambda Serverless AWS Mobile 211

Dynatrace

MAY 22, 2019

User sessions queries is a powerful tool that increases your analytics capabilities exponentially. Many customers are already using User sessions queries for the analysis of data beyond the IT organization—they’re analyzing real-user data, served straight from each individual user’s browser. Stay tuned for more!

Analytics 104

Analytics Tuning Metrics Programming 104

Dynatrace

DECEMBER 8, 2020

It inherits the automation, AI, scalability, and enterprise-grade robustness of the Dynatrace platform. With new RASP capabilities of the Dynatrace OneAgent, the same trusted approach extends the Dynatrace platform to application security: automatic, intelligent, highly scalable. Stay tuned – this is only the start.

Cloud 292

Cloud Open Source Internet Internet 292

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. This helps to perform dynamic what-if analysis with different timeframes and to look back in time.

Metrics 152

Metrics Engineering Google Monitoring 152

Dynatrace

JUNE 13, 2019

Data analysis within large and highly dynamic microservices environments is the biggest challenge that Application Performance Monitoring (APM) vendors face today. The real challenge is robust and effective analysis of such data. Why are we doing this? What Dynatrace will contribute.

IoT 46

IoT C++ Analytics Java 46

Rigor

SEPTEMBER 3, 2019

RUM or analytics data (funnel analysis) can help you determine the user flows that drive the majority of your business and that will be most critical on high-load days. Traffic patterns outside of normal [RUM or Analytics]. Drop in cart completions, increase in abandonment or other key conversion events [RUM or Analytics].

Website 74

Website Cache Ecommerce Traffic 74

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

The Netflix TechBlog

MARCH 7, 2019

Mathematical engineers at Netflix in particular work on the scalability and engineering of models that estimate treatment effects. In the democratization of the experimentation platform we also want to allow custom analysis. The end to end data science cycle usually starts with a data scientist writing a script to do a new analysis.

Engineering 174

Engineering Design Innovation Java 174

High Scalability

NOVEMBER 25, 2019

For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. Nagios, Grafana and New Relic and some internal proactive exception analysis are used.

Architecture 52

Architecture Cache Azure Storage 52

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

Database 40

Database Analytics Blockchain Healthcare 40