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

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. Consider security incidents.

Engineering 184

Engineering Speed Monitoring Efficiency 184

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

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. Users typically need only recent data for troubleshooting, not logs from a month ago.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

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

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. 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

Scalegrid

DECEMBER 28, 2023

One such solution is pagination, which divides large datasets into manageable “pages” of data to be displayed or processed. How to Implement Pagination in MongoDB® Big datasets require efficient data retrieval and processing for effective management. The next() method then progresses through this set for efficient retrieval.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

APRIL 22, 2024

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. According to the Dynatrace 2023 DevOps Automation Pulse report, an average of 56% of end-to-end DevOps processes are automated across organizations of all kinds.

DevOps 182

DevOps Artificial Intelligence Government Innovation 182

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 221

DevOps Infrastructure Speed Cloud 221

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? As organizations digitally transform, they’re also accelerating the speed of software delivery. In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider.

Latency 174

Latency Website Traffic Virtualization 174

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

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. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 237

Engineering Development DevOps Infrastructure 237

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 222

Monitoring Artificial Intelligence Performance Analytics 222

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. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Automatically analyze and debug releases.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

OCTOBER 4, 2022

Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed. As a result, we created Grail with three different building blocks, each serving a special duty: Ingest and process. Ingest and process with Grail.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

OCTOBER 6, 2023

For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. This improves query speeds and reduces related costs for all other teams and apps. In conjunction with the previous example of keeping high-volume and short-lived logs separate, you might also need to keep your application data longer.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. But it doesn’t stop there.

Analytics 187

Analytics Software Software Storage 187

Dynatrace

OCTOBER 17, 2023

As today’s macroeconomic environments grow increasingly competitive, organizations are under pressure to reduce costs and speed products to market. As they try to become more efficient, organizations are turning to technologies such as AIOps and IT automation.

Innovation 178

Innovation Monitoring Network Strategy 178

Dynatrace

JUNE 10, 2022

. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency. What is infrastructure as code? Address monitoring at scale.

Best Practices 205

Best Practices Infrastructure Code Speed 205

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Dynatrace news.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

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. Each caters to specific needs.

Database 162

Database Strategy Servers Best Practices 162

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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

DECEMBER 5, 2022

In their most basic form, DevOps procedures can result in complicated processes, data silos, and fragmented responsibilities. In a similar way that developers automate a single task to improve consistency, efficiency, and speed, orchestration tools can coordinate the automation of tasks across platforms.

DevOps 206

DevOps Virtualization Innovation Best Practices 206

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality. What is DevOps?

DevOps 194

DevOps Best Practices Innovation Strategy 194

MachMetrics

APRIL 3, 2020

If you’re looking to read optimization ideas from one of the greatest minds in speed performance, look no further. Each performance chapter is supported by code snippets (via a companion website) and examples to aid in learning. If these rules can be applied to improving speeds at Yahoo! Let’s get started!

Speed 85

Speed Performance Best Practices Website 85

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. Unified observability and security in the development process are crucial to defining ownership in the development process.

Engineering 242

Engineering DevOps Innovation Storage 242

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

AUGUST 17, 2023

We also use Micrometer to analyze ingest queue processing speed, which helps us make decisions about adding resources. We optimized our Micrometer Registry to export data in memory-efficient chunks. With these dependencies in place, we can import Micrometer instruments into our example application, as shown in this controller.

Metrics 194

Metrics Analytics Speed Java 194

Dynatrace

DECEMBER 6, 2022

Observability aims to understand what’s happening across all an organization’s environments and technologies, helping teams detect and resolve issues to keep systems efficient and reliable, and end users happy. Another built in feature, shown in the example above, is SLO error budgets. For example, if you have a 99.9%

DevOps 215

DevOps Metrics Engineering Speed 215

Dynatrace

APRIL 30, 2021

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. How to approach transforming your DevOps processes.

DevOps 210

DevOps Speed Efficiency Engineering 210

Smashing Magazine

OCTOBER 29, 2019

Speed Up Your Website With WebP. Speed Up Your Website With WebP. 75 seconds doesn’t seem like much to you (at least in this example), it could make a big difference in the lives of your visitors, the people who sit there wondering how long is too long to wait. Suzanne Scacca. 2019-10-29T12:30:59+02:00. This is a sponsored post.)

Website 72

Website Speed Cache Google 72

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

DECEMBER 6, 2022

This process reinvents existing processes, operations, customer services, and organizational culture. The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased.

Strategy 191

Strategy Artificial Intelligence Innovation Healthcare 191