Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. In most data storage models, indexing engines enable faster access to query logs.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

FEBRUARY 12, 2024

Today’s organizations flock to multicloud environments for myriad reasons, including increased scalability, agility, and performance. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. And for more coverage from Perform 2024, check out our guide.

Analytics 178

Analytics Artificial Intelligence Engineering Storage 178

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 178

Analytics Storage Retail Monitoring 178

Percona

JANUARY 5, 2023

In PostgreSQL, vacuuming is a maintenance task that helps to optimize database performance and reclaim space. This process is necessary to prevent the accumulation of unnecessary data, known as “dead rows,” which can take up significant space and slow down queries.

Database 107

Database Performance C++ Efficiency 107

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. What is DevOps maturity?

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

AUGUST 21, 2023

.” But, he continues, ” Today’s environments present a completely different picture. In this type of environment, it’s difficult to apply traditional monitoring, virtually impossible to keep it consistently current, and it’s challenging to get the outputs you need to truly understand performance. during 2021–2026.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

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? into manageable portions to avoid potential discrepancies related to the enormous amounts of data present.

Best Practices 130

Best Practices Efficiency Strategy Speed 130

Dynatrace

FEBRUARY 15, 2023

Further, it presents data in intuitive, user-friendly ways to enable data gathering, analysis, and collaboration among far-flung teams. Why teams struggle with the volume and variety of cloud data Modern cloud-native environments can present compound problems that often hamper teams across the organization in meeting business objectives.

Analytics 130

Analytics Storage Cloud DevOps 130

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). " Query execution. ."

Processing 72

Processing Hardware Database Azure 72

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. When this data block is read, it decompresses it in memory and presents it to the incoming request.

Storage 111

Storage Network Open Source Latency 111

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Processing logs is now streamlined, enabling customers to enrich log metadata with insightful context that is important for delivering pipelines to single Firehose delivery streams.

Traffic 212

Traffic AWS Network Cloud 212

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 195

Monitoring Serverless Programming Speed 195

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Usage reduction is a continuous process.

Cloud 121

Cloud Serverless AWS Storage 121

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. A feature that enables you to present log data in a filterable table that is easy to work with. Why Dynatrace?

AWS 214

AWS Transportation Network Traffic 214

Scalegrid

JULY 17, 2020

Note: If a particular key is always present in your document, it might make sense to store it as a first class column. JSON is faster to ingest vs. JSONB – however, if you do any further processing, JSONB will be faster. JSONB storage results in a larger storage footprint. whitespace) and ordering of the keys.

Storage 321

Storage Database Efficiency Processing 321

Scalegrid

JANUARY 9, 2024

The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures. This process involves converting regular data into a coded form, which helps to protect its privacy and guard against cyber threats.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

DECEMBER 16, 2020

Track changes via our change management process. Every storage location involving data at rest is encrypted as well. The signatures are automatically verified during the update process on the customer infrastructure. The security controls presented above are audited on an annual basis by independent security assessors.

Software 230

Software Software Development AWS 230

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

Performance 124

Performance Network Cache Metrics 124

Dynatrace

DECEMBER 22, 2021

With observability, teams can understand what part of a system is performing poorly and how to correct the problem. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Traces provide performance data about tasks that are performed by invoking a series of services.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Speed Curve

FEBRUARY 25, 2024

My favourite place to start is with the Web Vitals heatmap on SpeedCurve's RUM > Performance dashboard. The Performance panel can be overwhelming – even for experienced engineers – as it exposes how much work the browser is doing to load pages or handle interactions. Switching to the DevTools Performance panel 3.

Analytics 92

Analytics Processing Google Mobile 92

Percona

MARCH 28, 2023

It’s to ensure that our data is durable after each write operation and to make it persistent and consistent without compromising the performance. The above diagram shows the information present in a checkpoint, while the below output shows how it looks when listed using the “wt” utility. $

Hardware 90

Hardware C++ Storage Cache 90

Dynatrace

MAY 6, 2021

Contact Dynatrace ONE if you wish to enable Cluster-side screenshot storage on pre-1.216 fresh-installed Clusters. Improved performance of Licensing and Environments overview page for clusters running dozens of environments. Consumption and storage now returned correctly when using Environment API with paging. APM-290353).

Operating System 227

Operating System AWS Metrics Storage 227

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). Customizable dashboard. Specialized Unified Analysis page.

Technology 213

Technology Technology Metrics Infrastructure 213

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The report also reveals the leading programming languages practitioners use for application workloads.

Open Source 340

Open Source Java Operating System Programming 340

Percona

AUGUST 30, 2023

An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup. Failover testing: If you have a high availability setup or a secondary data center, test to ensure the failover process switches over to the backup database server. This helps minimize downtime.

Database 90

Database Hardware Open Source Strategy 90

Percona

OCTOBER 17, 2023

Not only that, the idea is to present you with changes flying under the radar, which, in my understanding, can influence your daily operation. Dynamic WiredTiger tickets As a brief recap, WiredTiger tickets in MongoDB serve as the concurrency control mechanism within the WiredTiger storage engine.

Metrics 104

Metrics C++ Storage Database 104

Dotcom-Montior

MARCH 6, 2022

It assists in identifying where important events happened during the loading process. They can also let the user easily see how good or bad the performance of their website is, showing you exactly what is slowing down your site. When the user clicks on the specific element button, they are welcomed by a performance page, shown below.

Performance 52

Performance Cache Website Speed 52

Percona

MAY 9, 2023

Many MongoDB clusters use storage-level snapshots to provide fast and reliable backups. To start realistic compatibility and performance testing, we needed to restore the filesystem snapshot backup that was stored on NetApp volume in GCP into a Google Kubernetes Engine (GKE) cluster running Percona Operator for MongoDB.

Storage 107

Storage Cloud Servers Google 107

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. So, the design of OTel allows for flexibility.

AWS 208

AWS Strategy Storage Metrics 208

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

Percona

JULY 24, 2023

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Contact me through any channels (we do have our Jira open to the Community, my email is available in the footnote, and I am present on LinkedIn).

Availability 77

Availability Open Source Strategy Storage 77