DZone

JANUARY 6, 2024

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

Java 189

Java Performance Tuning Programming 189

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

DZone

MARCH 7, 2023

In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization. In this article, we will discuss some tips and techniques for tuning PySpark applications. For example, to broadcast a lookup table named lookup_table :

Big Data 173

Big Data Code Tuning Open Source 173

The Netflix TechBlog

MARCH 5, 2024

Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning. We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. No explicit tuning has been required to achieve these results.

Latency 228

Latency Java Tuning Efficiency 228

Dynatrace

JANUARY 14, 2022

Kubernetes microservices applications are a striking example of the complexity of today’s modern application and IT stacks. Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. SREcon21 – Automating Performance Tuning with Machine Learning. lower than 2%.).

Latency 192

Latency Tuning Efficiency AWS 192

Dynatrace

JANUARY 30, 2024

For example, AI is a great candidate for automating tedious, manual tasks such as aggregating data. You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Tune in to the full episode for more insights from Patrick Johnson, director of the DoD’s Cyber Workforce Management Directorate.

Artificial Intelligence 190

Artificial Intelligence Government Innovation Programming 190

Percona

FEBRUARY 24, 2023

To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features. For example, the QA team would only have access to data from the QA environment rather than having access to the production environment. to monitor and diagnose. +50

Metrics 104

Metrics Monitoring Database Engineering 104

Dynatrace

JANUARY 18, 2024

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. Explainable AI tools and practices are important for understanding and weeding out biases like this to improve output accuracy and operational efficiency.

Artificial Intelligence 203

Artificial Intelligence Healthcare Government Technology 203

Dynatrace

JULY 6, 2022

Vulnerability management is one example of a DevSecOps workflow that teams should automate to ensure vulnerability scans run regularly. Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. IT automation tools can achieve enterprise-wide efficiency. Read eBook now!

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

Dynatrace

OCTOBER 23, 2023

Communicating security insights efficiently across teams in your organization isn’t easy Security management is a complex and challenging task; effectively communicating security insights is even more so. Sample dashboard Next, you want to prepare an efficient plan for remediation.

Efficiency 201

Efficiency Best Practices Tuning Internet 201

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 209

DevOps Traffic Efficiency Servers 209

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

NOVEMBER 14, 2023

The Setup: Automated end-to-end catchup Let’s go back to our customer lifecycle example. This approach ensures data processing is both efficient and accurate. Stay tuned for a new post on this! Debugging/figuring out what was loaded in every run is made easy with the help of workflow parameters and Psyberg Metadata.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

JULY 18, 2023

However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 179

Best Practices Code Infrastructure Latency 179

Dynatrace

AUGUST 1, 2022

Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. Dynatrace’s PVCs extension enables you to make efficient use of your resources. Stay tuned. Coming Soon.

Storage 177

Storage Database Network Metrics 177

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.

Media 246

Media Open Source Efficiency Software Engineering 246

Percona

APRIL 24, 2023

Indexes are generally considered to be the panacea when it comes to SQL performance tuning, and PostgreSQL supports different types of indexes catering to different use cases. I keep seeing many articles and talks on “tuning” discussing how creating new indexes speeds up SQL but rarely ones discussing removing them.

Tuning 124

Tuning Cache Storage Database 124

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. Kubernetes-based efficient power level exporter (Kepler) is a Prometheus exporter that uses ML models to estimate the energy consumption of Kubernetes pods.

Metrics 169

Metrics Engineering Energy Tuning 169

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. The implication resulting from exceeding the Server Selection Timeout limit can prove damaging for MongoDB’s efficiency, leading to a selection error which is about time-out exceeding the allowed limits.

Java 130

Java Network Servers Database 130

Dynatrace

MARCH 11, 2021

I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. This is required for understanding how I intend to improve the efficiency of (manual) alert ticket handling. For example, invoking a webhook that creates a ticket in an ITSM system.

Tuning 260

Tuning Architecture Monitoring Big Data 260

Percona

FEBRUARY 15, 2023

This post will illustrate through a simple example how bloom filters work in MyRocks. A bloom filter is a space-efficient way of storing information about a list of keys. Tuning In terms of tuning, two parameters can be tuned, the size of the bitmap and the number of bits set by every value.

Storage 125

Storage Tuning Cache Engineering 125

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

Dynatrace

JANUARY 26, 2021

Operations refers to the processes of managing software functionality throughout its delivery and use life cycle, including monitoring system performance, repairing defects, testing after updates and changes, and tuning the software release system. Application security has historically been addressed after development is completed.

DevOps 257

DevOps Best Practices Open Source Tuning 257

The Netflix TechBlog

AUGUST 10, 2020

AV1 being a recent example. and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Further tuning of pre-defined encoding parameters. 264/AVC Main profile family.

Innovation 239

Innovation Traffic Network Efficiency 239

Percona

APRIL 14, 2023

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. For example, if you have an application that consumes a lot of resources, serverless may not be the cheapest option. Scale down The assumption tends to be that scaling is all about growth.

Database 81

Database Serverless Tuning Cloud 81

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. Getting specific metrics from libraries that are pre-instrumented with OpenTelemetry (for example, database drivers).

Metrics 150

Metrics Open Source Tuning Analytics 150

Dynatrace

SEPTEMBER 28, 2021

Deployment frequency measures both long-term and short-term efficiency. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes. This metric gauges the stability and efficiency of your DevOps processes.

DevOps 189

DevOps Metrics Traffic Efficiency 189

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently? Such anomalies can be caused by function cold-starts.

Serverless 196

Serverless Lambda Azure AWS 196

Dynatrace

MAY 17, 2022

Onboarding teams using self-service Kubernetes selectors is one of the best examples of how Dynatrace embraces cloud native technologies to increase automation, reduce bureaucracy, and encourage agility. The following example drives the point home. Embracing cloud native best practices to increase automation. Putting it all together.

Availability 305

Availability Scalability Cloud Metrics 305

Dynatrace

NOVEMBER 15, 2021

Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems. Logs can include data about user inputs, system processes, and hardware states.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

SEPTEMBER 28, 2020

Getting the problem status of all environments has to be efficient. Websockets allows efficient data push via multicast to browsers and D3.js Usage examples and lessons learned. This is where the consolidated API, which I presented in my last post , comes into play. Lightweight architecture. js framework.

Storage 198

Storage Architecture Tuning Efficiency 198

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. false-positive incidents), for example in the case of a buggy client or device. Given a labeled dataset, a supervised anomaly detection model can be built to distinguish between anomalous and benign incidents.

C++ 312

C++ Metrics Tuning Strategy 312

Dynatrace

MAY 20, 2020

Dynatrace Keptn , for example, uses the new Metrics API v2 to monitor the outcomes of application deployment. Example 1: Fetch a list of all host metrics. Example 2: Fetch a list of all metrics that contain the keyword cpu. Every metric has metadata properties that are important for efficiently querying data.

Metrics 216

Metrics Operating System Tuning Monitoring 216

Percona

AUGUST 27, 2018

Dangerous , because if you set this to a thread when using connection pooling OR ProxySQL and multiplexing, you may end up assigning a limitation to queries that instead, you wanted to run efficiently. Good examples are: ETL processes for data archiving, reporting, data consolidation and so on. Another cool useless feature???

Tuning 44

Tuning Virtualization Testing Servers 44

Dynatrace

NOVEMBER 24, 2020

Below are a few examples within the five Well-Architected pillars for how Dynatrace empowers you: Dynatrace value within the AWS 5-pillars. Stay tuned. AWS 5-pillars. Well-Architected Framework design principles include: Using data to inform architectur al choices and improvements over time. Fully conceptualizing capacity requirements.

AWS 141

AWS Artificial Intelligence Best Practices Lambda 141

Dynatrace

FEBRUARY 16, 2023

For example, these include verifying app deployments, isolating faults coming from a single IP address, identifying root causes of traffic spikes, or investigating malicious user activity. Learn more about the announcements at Perform 2023 in the Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI.

Analytics 176

Analytics Innovation Metrics Database 176