Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

Government 200

Government Analytics Benchmarking Storage 200

Dynatrace

OCTOBER 4, 2022

Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies. In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead.

Analytics 221

Analytics Storage Infrastructure Metrics 221

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

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 262

Traffic Best Practices Strategy Engineering 262

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

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 194

Analytics Processing Transportation Storage 194

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Grail is built for such analytics, not storage.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Scalegrid

FEBRUARY 1, 2024

Key Takeaways Understanding the range of MySQL backup types and strategies is essential for optimal data security and efficiency, including full, incremental, differential, and partial backups, each with its advantages and use cases. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

MAY 23, 2024

Establishing a single source of truth for all observability data reveals the full power of the Dynatrace platform by querying all data with comprehensive new capabilities from the one Dynatrace Grail data lake house for data storage. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

Azure 225

Azure Cloud Metrics Innovation 225

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 214

Analytics Storage Retail Monitoring 214

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 280

Serverless AWS Lambda Storage 280

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 200

Analytics Infrastructure Efficiency Technology 200

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 246

AWS Efficiency Azure Cloud 246

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

Dynatrace

JULY 29, 2022

With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Cold storage and rehydration. Inadequate context.

Analytics 181

Analytics Storage Retail Monitoring 181

Scalegrid

JANUARY 9, 2024

Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor. Data encryption should be applied along with robust access controls and efficient encryption key management procedures.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Event severity.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

SEPTEMBER 5, 2023

When predictive AI is combined with a data lakehouse , like Dynatrace Grail, it can deliver value by automatically providing prescriptive insights using data from digital user experience layer to the infrastructure layer with full data context using supporting data, such as relationships, dependencies, and other context within entities and events.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

OCTOBER 30, 2023

One of the keys to managing cloud costs is ensuring that operations are running efficiently. But it is not only the number of clusters that matters, but also the storage underneath. As of today, the platform runs roughly 17,000 Kubernetes pods that need storage underneath.

Engineering 245

Engineering DevOps Innovation Storage 245

Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. Automated data collection correlated with topology information, real-user experience, security events, and metadata makes it easier to identify issues and determine effective remediation paths. Automated scaling. Self-healing.

Open Source 192

Open Source Storage Analytics Innovation 192

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 14, 2022

To remain compliant, such logs are typically subject to pseudonymization or anonymization procedures (masking), which makes sensitive data inaccessible while preserving the contextual information of the event, service, or host. As data volumes explode, teams have different prioritization for the data they want to acquire for observability.

Storage 227

Storage Government Network Infrastructure 227

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Check back here throughout the event for the latest news, insights, and announcements. Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. What is explainable AI? Enter causal AI.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. Enter causal AI.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Unlike evictions from resource exhaustion on a node, this event resulted from ephemeral storage limits exceeded on the pod.

Storage 299

Storage Engineering Traffic Infrastructure 299

Percona

APRIL 24, 2023

If you are using any wait event analysis tools/scripts like pg_gather , the overhead of the WAL generation will be clearly visible. This is a synthetic test case, but if WAL-related wait events appear as any of the top wait events, it is a matter of concern for a transaction system, and we should take every step to address it.

Tuning 127

Tuning Cache Storage Database 127

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Automate cloud operations and trigger remediation workflow to enhance efficiency. Log Events. Log Metrics.

AWS 218

AWS Transportation Network Traffic 218

Dynatrace

MAY 26, 2021

Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. After all, it’s key to sample and store traces efficiently while not missing out on important events. A screenshot of Jonah’s talk with a picture of Dynatrace’s SLA capability. We second that. What’s next?

AWS 212

AWS Strategy Storage Metrics 212

Dynatrace

JANUARY 11, 2023

These events represent activities that can affect the bottom line, such as sales order volumes, inventory counts, or delivery notifications. High storage costs. Businesses generate millions of events every day, from customer transactions to sales quotes to delivery exceptions and inventory changes. Search constraints.

Analytics 188

Analytics Strategy Storage Technology 188

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

AUGUST 21, 2023

By doing so, they can improve efficiency, reduce costs, and deliver better customer experiences. Dynatrace for unified, AI-powered log management and analytics Dynatrace enables teams to analyze logs, metrics, and events in the context of traces, topology, and user sessions, with no schemas or storage tiers to manage.

Analytics 145

Analytics Innovation Infrastructure Scalability 145

Dynatrace

FEBRUARY 15, 2023

Because events in cloud-native environments take place instantaneously, and there is so much data to digest, IT and operations teams often can’t identify problems before customers experience them. When all data is stored in context, teams don’t need to manage storage tiers and wait days to rehydrate, reindex, and query a federated data set.

Analytics 130

Analytics Storage Cloud DevOps 130

Percona

JUNE 6, 2023

Full backups are most suitable for critical systems or sensitive data that cannot afford any loss or downtime, allowing for a complete recovery of data in the event of data corruption, hacking, system failures, or natural disasters. In addition, they are used for restoring or moving data to a new system. What is an incremental backup?

Storage 69

Storage Strategy Network Efficiency 69