Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 16, 2023

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states. Service meshes : Istio is the most used service mesh.

Open Source 342

Open Source Java Operating System Programming 342

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

MAY 4, 2023

This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives. After replaying the requests, this dedicated service also records the responses from the production and replay paths for offline analysis.

Traffic 339

Traffic Latency Tuning Systems 339

Percona

APRIL 24, 2023

The more indexes, the more the requirement of memory for effective caching. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache. Cache requirements for indexes are generally much higher than associated tables. This helps in crash recovery and replication.

Tuning 128

Tuning Cache Storage Database 128

Dynatrace

OCTOBER 21, 2020

Now, let me walk you through the actual steps the team took so you can see for yourself how not only we at Dynatrace but any engineering organization can benefit from Dynatrace in any stage of the software delivery cycle: Step 1: Dynatrace thread analysis. From here it’s a single click to the CPU Method Hotspot analysis!

Code 242

Code Cloud Engineering Java 242

Dynatrace

NOVEMBER 28, 2022

Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. Insights into how serverless functions are affecting customer-facing applications.

Lambda 224

Lambda AWS Serverless Latency 224

Dynatrace

MAY 13, 2022

In addition to the built-in views, Dynatrace provides data analysis that enhances your ability to query and chart metrics. You can also analyze table metrics, such as cache hits and misses. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables).

Azure 236

Azure Latency Metrics Infrastructure 236

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

Dynatrace

SEPTEMBER 13, 2023

The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond We’d love to hear your suggestions and ideas.

AWS 246

AWS Efficiency Azure Cloud 246

Brendan Gregg

SEPTEMBER 5, 2021

Next Steps I'd usually SSH to instances for deeper analysis, where I could use mpstat(1) to confirm the usr/sys breakdown and perf(1) to begin profiling on-CPU kernel code paths. The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system. This supported the claim that ZFS was eating CPU, but how?

Cache 145

Cache Cloud Java Tuning 145

Dynatrace

DECEMBER 13, 2023

This can be achieved by reducing the size of files or images, using caching, and compressing data. Minimizing the number of network requests that your app makes can improve performance by reducing latency and improving load times. Optimize images and videos.

Best Practices 197

Best Practices Mobile Metrics Performance 197

Speed Curve

APRIL 9, 2023

In an analysis of 13 million page loads in the latest HTTP Archive run, 90% of those pages would see an improvement in their Lighthouse performance score, with 50% of them seeing a performance improvement of more than 5 points. When a BF cache navigation is prevented, Lighthouse lists the causes for the failure.

Cache 73

Cache Best Practices Metrics Google 73

Dynatrace

JUNE 16, 2020

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. A further Dynatrace capability for revealing savings is the multidimensional analysis of CPU time related anomalies.

Innovation 152

Innovation Metrics Infrastructure Programming 152

High Scalability

FEBRUARY 17, 2021

Application example: user profile cache, where profiles are constructed elsewhere (e.g., All of these dbs are available free of cost for download / install and it will be fairly straightforward to run these tests in your environment for further analysis. Workload C: Read only. This workload is 100% read.

Benchmarking 308

Benchmarking Latency C++ Database 308

Randon ASCII

JANUARY 12, 2022

The Xbox 360 CPU had three PowerPC cores and a 1 MB L2 cache and these features are clearly visible on the wafer. In the die picture to the right (which looks to be about 14 mm by 12 mm) you can see the regular pattern of small black rectangles in the bottom right corner – that’s the L2 cache. register files? arithmetic units?)

Cache 126

Cache Latency Benchmarking Hardware 126

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. And for leaf routines (which never establish a frame), this is a non-issue.

Java 145

Java Cache Google Hardware 145

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). You can easily integrate these types of metrics into Dynatrace for further and enhanced analysis using our unique Davis® AI.

Storage 186

Storage Database Network Metrics 186

Dynatrace

OCTOBER 7, 2021

AWS AppSync: AppSync offers a fully managed approach to developing APIs with GraphQL — connecting to AWS DynamoLB or Lambda along with adding caches and client-side data. Amazon API Gateway: Amazon’s API gateway handles API calls, enabling teams to create RESTful or WebSocket APIs that deliver real-time, two-way communication.

Serverless 279

Serverless AWS Lambda Storage 279

ScaleOut Software

MAY 15, 2014

Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers. One or more specified cache servers are unavailable, which could be caused by busy network or servers. …). Please retry later.

Cache 40

Cache Servers Network Design 40

Percona

AUGUST 8, 2023

Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Global memory caches are static in size as they are defined solely by the configuration of the database itself. Do these queries use more caches?

Traffic 90

Traffic Cache Monitoring Database 90

Dynatrace

MARCH 22, 2023

For these, it’s important to turn off auto-completing forms, encrypt data both in transit and at rest with up-to-date encryption techniques, and disable caching on data collection forms. Finally, determine countermeasures and remediation through deep vulnerability analysis.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Brendan Gregg

APRIL 14, 2022

PMC analysis (2017). On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis. A large and unexpected opportunity has come my way outside of Netflix that I've decided to try. offer letter logo (2014).

Java 145

Java Cloud Cache AWS 145

Dynatrace

MAY 17, 2023

Connecting to a back end for analysis Collecting data is all well and good, but if you don’t analyze and visualize it, its use may be rather limited. These two bits are particularly important for context propagation , but more on that in just a second.

Metrics 179

Metrics Open Source Traffic Cache 179

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

DECEMBER 20, 2021

And why isn’t statistical analysis enough? While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Streamlined asset caching: Asset caching is critical for creating accurate replays. But what is session replay?

Mobile 246

Mobile Website Analytics Cache 246

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? Full bandwidth to/from high-bandwidth memory or L3 cache typically requires half or more of the cores in the socket.

Hardware 40

Hardware Transportation Performance Latency 40

Dynatrace

OCTOBER 4, 2022

A dynamic map of interactions and relationships between applications and the underlying infrastructure also helps to zoom in and out of an issue at different stages of analysis.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

APRIL 21, 2022

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. At every step, Dynatrace provides integrations, precise root-cause analysis, and pinpoint precision fueled by AI and automation. Missing caching layers. Understanding resource utilization for cost management.

Azure 187

Azure Monitoring Virtualization Metrics 187

Dynatrace

JULY 16, 2020

TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ? These API tokens are then stored in a local cache (the TenantCache using Redis), alongside with other rather static information of the environments: ? tenant-token the current API token to use.

Cache 234

Cache Serverless Efficiency Tuning 234

Dynatrace

NOVEMBER 3, 2021

Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies.

Monitoring 219

Monitoring Metrics DevOps Scalability 219

Scalegrid

JANUARY 5, 2024

For professions heavily relying on data analysis and automated processes, DBMS plays a vital part, enabling professionals to work more efficiently and make informed decisions. In professions heavily reliant on data analysis and automated processes, these capabilities empower professionals to work more efficiently and make informed decisions.

Efficiency 147

Efficiency Storage Database Scalability 147

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

CSS - Tricks

FEBRUARY 3, 2021

Back/forward cache — I always assumed browsers just do fancy stuff with the back/forward buttons and us developers had very little control. Philip Walton tells us it’s critical that we understand “what makes pages eligible (and ineligible) for bfcache to maximize their cache-hit rates.”

Performance 91

Performance Cache Testing Code 91

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 106

Performance Monitoring Traffic Database 106

DZone

JUNE 10, 2019

While you can look at what's in cache through the DMVs to see the queries there, you don't get any real history and you don't get any detail of when the executions occurred. If you really want a detailed analysis of which query used the most CPU, you need to first set up an Extended Events session and then consume that data.

Cache 100

Cache Database Performance 100

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. Latencies The old api service was running on the same “machine” that also cached a lot of video metadata (by design). This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233