Event, Infrastructure and Java - Technology Performance Pulse

RabbitMQ vs. Kafka: Key Differences

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is Apache Kafka?

Latency

Latency Analytics Architecture Storage

Kubernetes in the wild report 2023

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Java, Go, and Node.js Kubernetes infrastructure models differ between cloud and on-premises.

Open Source

Open Source Java Operating System Programming

How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

MAY 6, 2024

Integration with Red Hat Event-Driven-Ansible will also leverage Red Hat’s flexible rulebook system to map event data, such as problem categories or vulnerability identification, to the correct job template. Dynatrace Davis AI identifies the problem and maps the configuration change event to the root cause and the correct entity.

DevOps

DevOps Software Engineering Games Java

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

JANUARY 17, 2023

OpenTelemetry SDKs are available for most contemporary programming languages, such as C++, Go, Java, JavaScript, and Python (see [link] for the full list). Kubernetes workload pages offer resource analysis, lists of services, pods, events, and logs. The same page provides further analysis with workload logs and events.

Analytics

Analytics Metrics Open Source Java

A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

JULY 25, 2024

In fact, 76% of technology leaders say the dynamic nature of Kubernetes makes it more difficult to maintain visibility of their infrastructure compared with traditional technology stacks. The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer.

Strategy

Strategy Engineering Open Source Java

How a data lakehouse brings data insights to life

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics

Analytics Storage Infrastructure Metrics

Log auditing and log forensics benefit from converging observability and security data

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Java

Java Analytics Infrastructure Cloud

Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

NOVEMBER 6, 2023

The Dynatrace ® unified observability and security platform addresses the needs of enterprise-edge scenarios by managing the health and performance of containerized applications and multi-cloud infrastructures with metrics, traces, and logs in one place.

Retail

Retail Storage Analytics Cloud

Dynatrace extends AI-powered observability for SAP together with PowerConnect

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent.

Java

Java Analytics Best Practices Monitoring

The top eight DevSecOps trends in 2022

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code. and 2.14.1.

Serverless

Serverless Infrastructure Innovation DevOps

Dynatrace SaaS release notes version 1.231

Dynatrace

DECEMBER 2, 2021

Infrastructure Monitoring. Removed seven-day preview from create/edit custom event for alerting pages. Settings > Anomaly detection > Infrastructure. Settings > Anomaly detection > Extension events. Settings > Anomaly detection > Custom events for alerting. Resolved issues.

Lambda

Lambda Azure Metrics Monitoring

Noisy Neighbor Detection with eBPF

The Netflix TechBlog

SEPTEMBER 10, 2024

The first step is determining whether the problem originates from the application or the underlying infrastructure. Learn how Linux kernel instrumentation can improve your infrastructure observability with deeper insights and enhanced monitoring. One issue that often complicates this process is the "noisy neighbor" problem.

Latency

Latency Metrics Programming Monitoring

How Netflix Content Engineering makes a federated graph searchable

The Netflix TechBlog

APRIL 12, 2022

Sample GraphQL query To keep the index up to date, events are used to trigger a reindexing operation for individual entities when they change. Change Data Capture (CDC) events are the preferred events for triggering these operations?—?most however, application events are also supported when necessary.

Engineering

Engineering Architecture Java Infrastructure

Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

AUGUST 30, 2023

GKE Autopilot empowers organizations to invest in creating elegant digital experiences for their customers in lieu of expensive infrastructure management. These CSI pods provide a unique way of solving a handful of infrastructure problems. Agent logs security. The CSI pod is mounted to application pods using an overlay file system.

Google

Google Cloud Innovation Infrastructure

A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

FEBRUARY 25, 2021

This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. Distributing accounts across the infrastructure is an architectural decision, as a given account often has similar usage patterns, languages, and sizes for their Lambda functions. file uploaded to AWS Lambda.

Lambda

Lambda AWS Monitoring Serverless

Plan, execute, and modernize a cloud migration strategy with Dynatrace

Dynatrace

MAY 9, 2022

Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. They need ways to monitor infrastructure, even if it’s no longer on premises. Right-sizing infrastructure. Repurchase.

Strategy

Strategy Cloud Infrastructure Metrics

Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically

Dynatrace

DECEMBER 5, 2022

Both backend and report service are implemented in Java, but Robert found no Java runtime-related issues, either. Analyzing: Looking for unusual Kubernetes event activity. So Robert analyzed the data and events Dynatrace captured for the Kubernetes cluster responsible for keeping the pods running. But that’s about it.

Java

Java Traffic Education Testing

Unlock the observability value of log data with processing at scale

Dynatrace

AUGUST 16, 2022

For example: Infrastructure services might provide data about request timings that can give you a precise overview of system health, but the data is logged in a custom format. Even worse, if your service logs record critical events such as errors in a non-standard way, those errors might go unnoticed by your observability team.

Processing

Processing Metrics Monitoring Java

OpenTelemetry 101: A nontechnical guide for IT leaders and enthusiasts

Dynatrace

JULY 22, 2024

Text-based records of events and activities generated by applications and infrastructure components. Logs are detailed records of events that happen within an application. It’s similar to keeping a diary where you note down every significant event of your day.

Latency

Latency Best Practices Metrics Open Source

Extend the AI and automation core of Dynatrace with custom plugins

Dynatrace

NOVEMBER 8, 2019

For full-stack monitoring, you need 360-degree visibility from each customer’s initial interaction with your applications, through the entire request call sequence, down to containers, infrastructure, and cloud. To achieve this, you need an open platform that allows you to seamlessly ingest new sources of data and events.

Java

Java Metrics Cloud Monitoring

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. Triggers are powerful mechanisms that react to events dynamically and in real time.

Database

Database Lambda AWS IoT

What is Google Cloud Functions?

Dynatrace

OCTOBER 11, 2021

The headlining feature of GCP is Google’s Compute Engine , a service for creating and running virtual machines in the Google infrastructure—a direct analog to AWS’ EC2 instances and Azure’s VMs. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google

Google Cloud Serverless Azure

RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

MAY 2, 2024

Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities – blog While hybrid cloud infrastructure increases flexibility, it also introduces complexity. Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments.

Artificial Intelligence

Artificial Intelligence Cloud Best Practices DevOps

Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

NOVEMBER 6, 2023

They also care about infrastructure: SREs require system visibility and incident management. By ingesting data from either cloud-native sources (such as OpenTelemetry or Kubernetes events) or what you already have instrumented (such as Open Standards), Dynatrace enriches data with context to provide a 360º view of your environment.

Development

Development DevOps Programming Cloud

AI-powered, automated observability and deep visibility into serverless apps running on Google Cloud Run

Dynatrace

NOVEMBER 14, 2019

A managed platform built from Knative , Cloud Run automatically scales your stateless applications, abstracts away all infrastructure management (K8s), and lets you focus on what matters most: building fantastic applications. . Easy, out-of-the-box , auto – monitoring for supported application technologies like Java , .NET

Serverless

Serverless Google Cloud Java

Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

APRIL 21, 2022

With Dynatrace’s full-stack monitoring capabilities, organizations can assess how underlying infrastructure resources affect the application’s performance. Figure 1 – Individual Host pages show performance metrics, problem history, event history, and related processes for each host. Operational excellence.

Azure

Azure Monitoring Virtualization Metrics

Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

JULY 26, 2021

Change Data Capture(CDC) source connector reads from studio applications’ database transaction logs and emits the change events. The CDC events are passed on to the Data Mesh enrichment processor, which issues GraphQL queries to Studio Edge to enrich the data. CDC events can also be sent to Data Mesh via a Java Client Producer Library.

Big Data

Big Data Government Processing Analytics

How Netflix Scales its API with GraphQL Federation (Part 2)

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture

Architecture Best Practices Engineering Open Source

New analytics capabilities for messaging system-related anomalies

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. Start your free trial today for best-in-class APM, infrastructure monitoring, and AIOps, all in a single solution. Finally, you can configure and activate them there. New to Dynatrace?

Analytics

Analytics Systems DevOps Healthcare

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OCTOBER 15, 2021

Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. Logs are important because you’ll naturally want an event-based record of any notable anomalies across the system. Metrics originate from several sources including infrastructure, hosts, and third-party sources.

Open Source

Open Source Metrics Cloud Transportation

Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

SEPTEMBER 5, 2024

The key components of automatic failover include the primary server for write operations, standby servers for backup, and a monitor node for health checks and coordination of failover events. In the event of a primary server failure, standby servers are prepared to assume control, which helps reduce system downtime.

Availability

Availability Servers Database Open Source

Leverage automated and intelligent observability for OpenTelemetry for Go with Dynatrace PurePath 4

Dynatrace

JANUARY 28, 2021

For today’s highly dynamic and exceedingly complex production environments, performance problems that are evident at the service level (for example, slow response times or failed requests) are often the result of underlying (cloud) infrastructure issues. Unlock extended end-to-end traceability for OpenTelemetry-instrumented Go applications.

Traffic

Traffic Open Source Servers Cloud

Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

AUGUST 7, 2023

Learn more about securing modern applications and infrastructure and how to integrate security analytics into your DevSecOps initiative with the following resources. As security teams seek to understand malicious events, the importance of unified observability in context compounds.

DevOps

DevOps Analytics Best Practices Java

Migrating Netflix to GraphQL Safely

The Netflix TechBlog

JUNE 14, 2023

A single API team maintained both the Java implementation of the Falcor framework and the API Server. With these sampled events, the tool can capture a live request from production and run an identical GraphQL query against both the GraphQL Shim and the new Video API service. Are things loading in time before the user loses interest?

Traffic

Traffic Latency Metrics Cache

OpenTelemetry enables automated operations management at scale

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. The other option is semi-automatic instrumentation. Getting to OpenTelemetry.

Artificial Intelligence

Artificial Intelligence Open Source Analytics Monitoring

RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud

Cloud DevOps Open Source Retail

DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Some of DBLog’s features are: Processes captured log events in-order. Interleaves log with dump events, by taking dumps in chunks. Hence, downstream consumers have confidence to receive change events as they occur on a source.

Database

Database Traffic Transportation Open Source

Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

JUNE 7, 2023

Dynatrace OneAgent ® discovers, observes, and protects access to OpenAI automatically, with no manual configuration, revealing the full context of used technologies, service interaction topology, security-vulnerability analysis, and the observability of all metrics, traces, logs, and business events in real time.

Monitoring

Monitoring Latency Metrics Azure

Evolution of Netflix Conductor:

The Netflix TechBlog

JULY 30, 2019

Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. An event handler can be configured on these queues to trigger workflows or tasks to perform specific actions upon the terminal state of the workflow.

Lambda

Lambda Media Open Source Metrics

DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Some of DBLog’s features are: Processes captured log events in-order. Interleaves log with dump events, by taking dumps in chunks. Hence, downstream consumers receive change events as they occur on a source.

Database

Database Traffic Transportation Open Source

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

MAY 17, 2023

The beauty of OneAgent is it’s a drop-in solution and monitors every supported technology (for example,NET, Java, PHP, Node.js) with little to no manual work required from your side. Heading over to `Infrastructure` / `Hosts` in your dashboard, you should now have an entry for the host where you installed OneAgent.

Metrics

Metrics Database Monitoring Network

RabbitMQ vs. Kafka: Key Differences

Kubernetes in the wild report 2023

Trending Sources

How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

A Kubernetes platform engineering strategy tames Kubernetes complexity

How a data lakehouse brings data insights to life

Log auditing and log forensics benefit from converging observability and security data

Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace extends AI-powered observability for SAP together with PowerConnect

The top eight DevSecOps trends in 2022

Dynatrace SaaS release notes version 1.231

Noisy Neighbor Detection with eBPF

How Netflix Content Engineering makes a federated graph searchable

Dynatrace and Google unleash cloud-native observability for GKE Autopilot

A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Plan, execute, and modernize a cloud migration strategy with Dynatrace

Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically

Unlock the observability value of log data with processing at scale

OpenTelemetry 101: A nontechnical guide for IT leaders and enthusiasts

Extend the AI and automation core of Dynatrace with custom plugins

Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

What is Google Cloud Functions?

RSA guide 2024: AI and security are top concerns for organizations in every industry

Application observability meets developer observability: Unlock a 360º view of your environment

AI-powered, automated observability and deep visibility into serverless apps running on Google Cloud Run

Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Data Movement in Netflix Studio via Data Mesh

How Netflix Scales its API with GraphQL Federation (Part 2)

New analytics capabilities for messaging system-related anomalies

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Leverage automated and intelligent observability for OpenTelemetry for Go with Dynatrace PurePath 4

Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Migrating Netflix to GraphQL Safely

OpenTelemetry enables automated operations management at scale

RSA Guide 2023: Cloud application security remains core challenge for organizations

Sponsored Post: InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

DBLog: A Generic Change-Data-Capture Framework

Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Evolution of Netflix Conductor:

Sponsored Post: PerfOps, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

DBLog: A Generic Change-Data-Capture Framework

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Sponsored Post: PerfOps, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

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