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

High Scalability

JUNE 15, 2020

What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. Why did you decide to build this system?

Processing 206

Processing Data Engineering Engineering Efficiency 206

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 221

Tuning Scalability Efficiency Processing 221

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

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

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

NOVEMBER 9, 2023

Kubernetes is a widely used open source system for container orchestration. However, they can also be used to monitor optimization processes effectively. Efficient coordination among resource usage, requests, and allocation is critical. It provides insights into how efficiently the blocked resources are being utilized.

Efficiency 270

Efficiency Monitoring Best Practices Open Source 270

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? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 264

Open Source Hardware DevOps Infrastructure 264

Dynatrace

DECEMBER 21, 2023

You might optimize your cooling system or move your data center to a colder region with reduced cooling demands. 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. A PUE of 1.0 A PUE of 1.0

Cloud 205

Cloud Energy Best Practices Cache 205

Dynatrace

AUGUST 28, 2023

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

Retail 198

Retail Logistics Innovation Analytics 198

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

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

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. An example via Monaco can be found in this public GitHub repository.

Best Practices 196

Best Practices Azure Database Code 196

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The talk uses Apache Spark as an example, but the concepts generalize regardless of your specific tools. Learn more about how batch and streaming data pipelines are built at Netflix.

Data Engineering 259

Data Engineering Engineering Software Engineering Best Practices 259

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. Host technologies in use with status information and links to processes.

Infrastructure 178

Infrastructure Metrics Network Monitoring 178

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. Communication methods.

Artificial Intelligence 209

Artificial Intelligence Healthcare Government Technology 209

Dynatrace

MARCH 28, 2024

According to Markets and Markets, for example, the digital transformation market is projected to grow at a compound annual growth rate of 19.1%, from $521.5 According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025. billion in 2021 to $127.5 billion in 2026.

C++ 182

C++ Artificial Intelligence DevOps Innovation 182

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. For example, generating an image requires as much power as fully charging your smartphone.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

FEBRUARY 21, 2024

Quality gates examples in Dynatrace Quality gates hold much promise for organizations looking to release better software faster. The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 203

Speed Software Software Latency 203

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

NOVEMBER 14, 2023

For example, how much does a reduction in MTTR impact revenue? These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. For example, generative AI has the potential to provide more intuitive methods of querying data.

Best Practices 188

Best Practices Engineering DevOps Software Engineering 188

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

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

Government 157

Government Network Artificial Intelligence Cloud 157

Dynatrace

FEBRUARY 15, 2023

For example, with AutomationEngine, teams can automate remediation and progressive delivery to continuously evaluate application performance against specific, measurable service-level objectives. Others lack causal AI to process data in full context that can actually pinpoint the root cause of problems.

Code 208

Code DevOps Cloud Analytics 208

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Armed with this data, the developer can then change the query to ask for the statements over a period (for example, the previous week). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 30, 2024

For example, AI is a great candidate for automating tedious, manual tasks such as aggregating data. But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness. There is a lot of concern about AI taking jobs away from humans.

Artificial Intelligence 198

Artificial Intelligence Government Innovation Programming 198

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Both can result in lost productivity for IT teams and staff in the field.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Unnecessary data transfer. On-demand payment agreement. Suboptimal architecture design.

Best Practices 228

Best Practices Strategy Cloud AWS 228

Dynatrace

OCTOBER 17, 2023

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. As a result, the company awarded customers gift cards for system failures, creating an additional cost. Ingest and process. Slow reaction times, in turn, caused failed customer transactions.

Retail 233

Retail Storage Best Practices Architecture 233

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

SEPTEMBER 28, 2021

As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal.

DevOps 196

DevOps Metrics Traffic Efficiency 196

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 2: AI-generated code will create the need for digital immune systems. These challenges will drive organizations to develop digital immune systems that protect their software from the inside by ensuring code resilience by default.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185