Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Addressing security requirements.

Analytics 192

Analytics Processing Transportation Storage 192

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. However, you can also use Fluent Bit as a processor because you can perform various actions on the data. Ask yourself, how much data should Fluent Bit process? What’s new in Fluent Bit 3.0

Best Practices 239

Best Practices IoT Metrics Storage 239

DZone

JANUARY 6, 2024

In the realm of Java development, optimizing the performance of applications remains an ongoing pursuit. Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs.

Java 177

Java Performance Tuning Programming 177

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Percona

APRIL 14, 2023

Considering the example from above, even if that bit of data being requested by the users is not found in memory and needs to be retrieved from disk, that slow operation will have to be performed only once for that batch of requests. How do you know if your MySQL database caching is operating efficiently?

Cache 93

Cache Efficiency Database Monitoring 93

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) 5) in the Gartner report. 5) in the Gartner report.

Monitoring 222

Monitoring Artificial Intelligence Performance Analytics 222

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 264

Open Source Hardware DevOps Infrastructure 264

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

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures. In essence, it establishes permissions within a Kubernetes cluster.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 205

Cloud Energy Best Practices Cache 205

DZone

MARCH 9, 2023

Software testing is the process of verifying the working of the software system or application. It not only focuses on finding bugs or errors in the software but also considers measures to enhance the software quality in terms of usability, accuracy, and efficiency.

Best Practices 100

Best Practices Software Software Testing 100

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

FEBRUARY 1, 2024

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Bernd Greifeneder, Dynatrace founder and CTO, acknowledged in his opening remarks at Dynatrace Perform 2024 that even his team suffers from tool sprawl. We can’t risk the stability or performance of the services.”

Cloud 207

Cloud Energy Innovation Infrastructure 207

Dynatrace

NOVEMBER 9, 2023

Service-level objectives play a vital role in ensuring that all stakeholders have visibility into the resources being used and the performance of the applications. However, they can also be used to monitor optimization processes effectively. Efficient coordination among resource usage, requests, and allocation is critical.

Efficiency 270

Efficiency Monitoring Best Practices Open Source 270

DZone

JANUARY 13, 2021

Splitting your CI build jobs between multiple machines running in parallel is a great way to make the process fast, which results in more time for building features. In a previous article, we explained how you can use Knapsack Pro to split your RSpec test files efficiently between parallel jobs on GitHub Actions. Consider the Split.

Testing 162

Testing Efficiency Processing Performance 162

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 282

DevOps Software Engineering Games Java 282

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Separate systems can also silo teams and hamper mean time to incident (MTTI) discovery.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?

Engineering 197

Engineering Testing Performance Performance Testing 197

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. 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

FEBRUARY 21, 2024

Benefits of quality gates Quality gates provide several advantages to organizations, including the following: Optimized software performance : Quality gates assess code at different SDLC stages and ensure that only high-quality code progresses. In this example, we will focus on ensuring releases do not have any known vulnerabilities.

Speed 203

Speed Software Software Latency 203

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 106

Performance Monitoring Traffic Database 106

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 216

AWS Analytics Cloud Monitoring 216

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

MARCH 5, 2024

We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. Reference processing is also only performed in major collections with ZGC. This long lived on-heap data was the major contributor to us not adopting non-generational ZGC previously.

Latency 228

Latency Java Tuning Efficiency 228

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 178

Infrastructure Metrics Network Monitoring 178

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

Innovation 193

Innovation DevOps Cloud Efficiency 193

Scalegrid

DECEMBER 28, 2023

One such solution is pagination, which divides large datasets into manageable “pages” of data to be displayed or processed. But how does MongoDB handle pagination, and how can you optimize it for better performance? Pagination is an important factor to consider in MongoDB as it allows for the efficient organization of big datasets.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

MAY 3, 2024

Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 214

Cloud Lambda AWS Analytics 214

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. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns.

Artificial Intelligence 209

Artificial Intelligence Healthcare Government Technology 209

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. First, manual processes are naturally error prone because they rely on humans to input, review, and confirm data.

Engineering 184

Engineering Speed Monitoring Efficiency 184

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264