Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams.

Efficiency 210

Efficiency Virtualization Hardware Performance 210

DZone

AUGUST 10, 2023

If you use the cloud and cloud-native technologies like Kubernetes, this area offers a great opportunity for cost optimization through approaches like event-driven autoscaling and spot instance automation. Here are the four tactics for cost-efficient and resilient batch processing:

Efficiency 130

Efficiency Processing Cloud Technology 130

Dynatrace

JANUARY 26, 2021

Unlike a traditional virtual machine-model where customers must build and manage an entire VM, serverless computing provides the ability to purchase only the CPU cycles and memory needed to support an application using an event-based pay-per-use model. Driving efficiency without sacrificing observability appeared first on Dynatrace blog.

Serverless 242

Serverless Efficiency Lambda Azure 242

High Scalability

JUNE 15, 2020

Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. This processing can be summed up as the continuous aggregation and delivery of reporting data to users in a cost efficient manner.

Processing 206

Processing Data Engineering Engineering Efficiency 206

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Example implementation scenario #1 The diagram below illustrates configuration-event-based remediation with Dynatrace and Red Hat Ansible Automation Controller for a failing canary release.

DevOps 282

DevOps Software Engineering Games Java 282

Percona

JUNE 7, 2023

PostgreSQL provides a powerful mechanism for implementing event-driven actions using triggers. Triggers on Data Definition Language (DDL) events are a powerful feature of PostgreSQL that allows you to perform additional actions in response to changes to the database schema.

Database 77

Database Best Practices Open Source C++ 77

Dynatrace

MAY 16, 2019

My previous blog post, Efficiently filter problem notifications with alerting profiles , described usage of alerting profiles and the use cases for which they can be implemented. By adding a more fine-grained filter for process crash event types, you can now focus on all problems that only contain a process crash.

Analytics 116

Analytics Efficiency Availability Processing 116

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics.

Analytics 269

Analytics Innovation Strategy Efficiency 269

Dynatrace

MARCH 29, 2024

This year, Google’s event will take place from April 9 to 11 in Las Vegas. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. The engineer can efficiently access this data via a natural language query in a CoPilot Notebook: “Summarize all MITRE security events of the last 72 hours.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

DZone

JANUARY 8, 2024

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability.

Azure 275

Azure Scalability Traffic Performance 275

Dynatrace

MARCH 12, 2024

Business events: Addressing the data challenge Dynatrace business events address the data challenge by making it easy to access real-time business data. Business events can come from anywhere—OneAgent ® , log files, Real User Monitoring (RUM) sessions, or external systems through an API. Identify drops at each step.

Processing 247

Processing Monitoring Analytics C++ 247

DZone

OCTOBER 16, 2023

When creating applications that store and analyze large amounts of data, such as time series, log data, or event-storing ones, developing a good and future-proof data model can be a difficult task. Choosing the right data types in PostgreSQL can significantly impact your database's performance and efficiency.

Best Practices 272

Best Practices Speed Database Efficiency 272

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 186

Processing Monitoring Analytics Games 186

Dynatrace

APRIL 19, 2024

Figure 4: Custom dashboard analyzing cloud cost Improve cloud security posture by analyzing and auto-remediating security findings Public cloud providers offer automated tools that detect security-related events as they occur. These events require triage, analysis, and remediation by the owners of the affected resources.

AWS 216

AWS Analytics Cloud Monitoring 216

InfoQ

FEBRUARY 1, 2024

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

Scalability 74

Scalability Efficiency Systems Architecture 74

Dynatrace

FEBRUARY 28, 2024

The Visual Resolution Path offers a chronological overview of events detected by Dynatrace across all components linked to the underlying issue. Additionally, align the action’s validation window with the timeframe derived from the recently completed test events.

DevOps 200

DevOps Metrics Engineering Analytics 200

The Netflix TechBlog

FEBRUARY 26, 2024

Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency. It displays the average execution runtime, events per second, and estimated total CPU % for each program. This tool enables Netflix to embrace eBPF’s potential.

Performance 174

Performance Benchmarking Programming Open Source 174

The Netflix TechBlog

MARCH 6, 2019

After receiving multiple requests from users and investigating a few profile formats, we opted to support the Trace Event Format. The complete documentation for the format can be found here , but in a nutshell, it consists of an ordered list of events. For now, FlameScope only supports Duration and Complete event types.

Storage 100

Storage Programming Code Efficiency 100

The Netflix TechBlog

NOVEMBER 14, 2023

By the end of this series, we hope you will gain an understanding of how Psyberg transformed our data processing, making our pipelines more efficient, accurate, and timely. Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. The Dynatrace integration leverages native features and events that pass through the pipeline. It also returns valuable time back to the SRE team.

Engineering 222

Engineering DevOps Innovation Strategy 222

The Netflix TechBlog

NOVEMBER 14, 2023

Stateless Data Processing : As the name suggests, one should use this pattern in scenarios where the columns in the target table solely depend on the content of the incoming events, irrespective of their order of occurrence. A missed event in such a scenario would result in incorrect analysis due to a wrong derived state.

Processing 226

Processing Data Engineering Efficiency Analytics 226

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient. Optimize AI models.

Strategy 219

Strategy Artificial Intelligence Storage Cloud 219

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

Dynatrace

NOVEMBER 28, 2023

Leverage OneAgent functionality Ingesting configuration changes into Dynatrace through the events API call and utilizing OneAgent to detect configuration changes for supported technologies help maintain close alignment between your staging and production environments. This approach effectively combats configuration drift.

Traffic 259

Traffic Best Practices Strategy Engineering 259

Alex Podelko

DECEMBER 19, 2019

Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard. To facilitate discussions, in addition to Q&A, we have panels, “Meeting of the Minds” sessions, and networking events. See you there!

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. Observability and platform engineering: Unlock DevOps efficiency Platform engineering teams also benefit immensely from observability. However, these practices cannot stand alone.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

FEBRUARY 1, 2024

The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 260

Engineering Efficiency Azure Monitoring 260

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

JUNE 5, 2023

Organizations are increasingly moving to multicloud environments and adopting microservices to increase the efficiency, reliability, and scalability of their applications and services. ” The anatomy of efficient automated workflows Efficient and automatable workflows aren’t simple.

Engineering 184

Engineering Speed Monitoring Efficiency 184

Dynatrace

MARCH 28, 2024

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

C++ 182

C++ Artificial Intelligence DevOps Innovation 182

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. It grants access to peer into these logs’ contents.

Database 162

Database Strategy Servers Best Practices 162

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

MARCH 20, 2024

In this article, we’ll explore these challenges in detail and introduce Keptn, an open source project that addresses these issues, enhancing Kubernetes observability for smoother and more efficient deployments. Insufficient CPU and memory allocation to pods can lead to resource contention and stop Pods from being created.

Open Source 264

Open Source Hardware DevOps Infrastructure 264

Dynatrace

AUGUST 28, 2023

These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand. Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience.

Retail 198

Retail Logistics Innovation Analytics 198

Dynatrace

DECEMBER 14, 2023

For a closer look at the numbers from the Dynatrace, Snyk, and AWS joint research, plus more statistics on how automation increases efficiencies and reduces security risks, see the infographic report, Continuous delivery needs continuous security. 34% of CIOs say they sacrifice code security to deliver innovation quicker.

AWS 258

AWS Innovation Speed Efficiency 258

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 197

Analytics Infrastructure Efficiency Technology 197