Tech
Kafka UI Monitoring Tools: Key Kafka Metrics for Monitoring Performance
Apache Kafka is a distributed event streaming platform that allows businesses to build and manage high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Thousands of businesses use it, with 80 percent of Fortune 100 corporations using it. You should also learn Apache Kafka before proceeding with further technology.
Despite the fact that Apache Kafka is the go-to service for scenarios needing real-time data processing and application activity tracking, cluster monitoring and management can be difficult.
You may need third-party, open-source, or commercial graphical tools with additional administrative and monitoring functions to make these processes more efficient and visible. The 8 monitoring UI tools for Kafka are:
- AKHQ
- Kowl
- Conduktor
- Confluent CC
- CMAK
- Lenses
- Kafdrop
- UI for Apache Kafka
How does Kafka work?
Kafka is made up of servers and clients that connect via the TCP network protocol, which is very fast. Kafka runs on one or more servers in a cluster. Data is stored on a few of these servers. To integrate Kafka with your current systems, other servers import and export data as streams of events. The Kafka cluster is extremely scalable and dependable. If one of the servers fails, the others step in to keep the system running without losing data. Clients allow you to create distributed applications and microservices that receive, write, and process streams of events in a fault-tolerant, parallel, and scalable manner.
Important features of Kafka
- Broker: All client requests are handled by the broker, and data is stored. One or more brokers can be found in a cluster.
- ZookeeperThe cluster’s state is maintained by Zookeeper.
- Producer: The broker receives the records that the producer has sent.
- Consumer: The broker sends the consumer batches of records.
Advantages of using Kafka
- Exceptional throughput. Kafka can process hundreds of messages per second and can handle massive amounts of data at rapid speeds.
- There is low latency. With a latency of milliseconds, Kafka can process messages.
- Fault-tolerant. It is one of Kafka’s most significant advantages. Even if a node or machine in the cluster fails, Kafka continues to function normally.
- Durability. One of the reasons for Kafka’s durability is that it has a message replication function, which ensures that messages are never lost.
- Scalability. By adding more nodes, Kafka can be scaled up on the go.
- The architecture is distributed. By exploiting characteristics including replication and partitioning, Kafka’s distributed architecture makes it scalable.
- Consumers will appreciate the convenience. Depending on the customer with whom Kafka interacts, it can work in a variety of ways.
You must regularly monitor Kafka’s state and efficiency to ensure the stable operation of applications that rely on it. Also, you must know that Amazon MSK collects Kafka metrics and sends them to Amazon Cloud watch where you can see them. To do so, keep an eye on the following key metrics for each component in the cluster:
- Broker metrics
- Consumer metrics
- Zookeeper metrics
- Producer metrics
BROKER METRICS:
Before being used, every message must pass through the broker. As a result, in Kafka, brokers play a crucial role. It’s critical to keep track of their performance traits, which fall into three categories:
- Kfka System Metrics
- JVM garbage collector metrics
- Host metrics
Kafka System Metrics
Under Replicated Partitions: The total number of partitions on the broker that are under-replicated. Under-replicated partitions are a warning sign that one or more brokers are unavailable.
Isr Shrinks Per Sec/Isr Expands Per Sec: In-sync replicas ISRs for some partitions shrink if a broker goes down. ISRs are increased once the replicas are fully caught up once that broker is up and running again.
Active Controller Count: It indicates whether the broker is active and should always be set to 1 because there is only one controller at any given time.
Offline Partitions Count: The number of partitions that are not writable or readable because they lack an active leader. Brokers are not available if the value is non-zero.
Leader Election Rate And Time Ms: When ZooKeeper is unable to connect to the leader, a partition leader election occurs. This indicator could indicate that a broker is now unavailable.
Unclean Leader Elections Per Sec: If the broker who is the partition’s leader is unavailable and a new leader needs to be elected, out-of-sync replicas can be used to choose a leader. This measure can indicate the possibility of communication being lost.
Total Time Ms: The amount of time it takes to process a message.
Purgatory Size: The number of purgatory requests received. Can assist in determining the root causes of the delay.
Bytes In PerSec /Bytes Out PerSec: The difference between the number of data brokers received from producers and the number of data brokers read from consumers. This is a measure of the Kafka cluster’s overall throughput or workload.
Requests Per Second: Requests from manufacturers, customers, and subscribers are common.
JVM Garbage Collector Metrics:
Collection Count: The total amount of garbage collection processes done by the JVM, whether new or old.
Collection Time: The total amount of time spent by the JVM performing young or old garbage collection processes in milliseconds.
Host Metrics:
Page Cache reads Ratio: The number of reads from cache pages divided by the number of reads from the disc.
Use of the hard drive: The difference between the quantity of consumed and available disc space.
CPU utilization: Performance problems are almost never caused by the CPU. This measure should be explored if you notice spikes in CPU consumption.
Bytes sent/received over the network: The total volume of network traffic, both incoming and outgoing.
PRODUCER METRICS
Processes that send messages to customers are known as producers. Consumers will not receive new messages if producers stop functioning. Let’s take a look at some of the most important producer metrics.
compression-rate-avg: Compression rate of sent batches on average.
Response-rate: Per producer, the average number of responses received.
Request-rate: Per producer, the average number of responses sent.
Request-latency-avg: In milliseconds, the average request latency.
Outgoing-byte-rate: The average number of bytes sent out each second.
Io-wait-time-ns-avg: The average time spent waiting for a socket by the I/O thread (in ns).
Batch-size-avg: Per request, the average number of bytes transmitted per partition.
CONSUMER METRICS
Consumer metrics can reveal how quickly data is retrieved by customers, which can aid in the detection of system performance issues. Let’s take a look at some consumer statistics.
Records-lag: On this partition, the consumer has more messages than the producer.
records-lag-max
Record-lag-max: Maximum time between records. The increased value indicates that the consumer is falling behind the producers.
Bytes-consumed-rate: For each customer, the average bytes consumed per second for a single topic or across all topics.
Records-consumed-rate: The average number of records ingested per second across all topics or for a given topic.
Fetch-rate: The number of fetch requests made by the customer per second.
ZOOKEEPER METRICS
ZooKeeper is a critical component of Kafka’s deployment, and turning it off will bring Kafka to a halt. ZooKeeper keeps track of brokers and Kafka themes, as well as quotas that limit the amount of traffic that passes through the cluster. It also keeps track of clones. The ZooKeeper stats are listed below.
Outstanding requests: The total number of requests in the queue.
Avg-latency: In milliseconds, the time it takes for a server to respond to a client request.
Num-alive-connections: The number of clients who are connected to ZooKeeper.
Followers: The number of people who are actively following you on Twitter.
Pending-syncs: open-file-descriptor-count is the number of pending consumer syncs.
The number of file descriptors that have been used.
Conclusion:
We looked at how the Kafka event streaming platform works and the advantages of adopting it in this article. We also looked at Kafka’s performance metrics and tools in further depth.
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Tech
US: A Judge Mandates that Google Allow Competing App Stores to Access Android
(VOR News) – The ruling is that Google, the greatest technology firm in the world, is required to make its Android smartphone operating system available to merchants that supply applications that are in direct rivalry with Google’s. This decision was reached by a judge in the United States of America.
The Android Play store, which is owned and operated by Google, was found to be an example of an illegal monopoly arrangement by a jury in the state of California on Monday. The finding was reached by a jury. Monday is the day that this decision was come to.
An earlier federal judge ruled Google’s search engine illegal.
This finding, which came after that decision, has forced the company to suffer yet another setback. As a result of the corporation having already encountered its initial obstacle, this decision has been established. This particular decision was made by the judge during the month of August, when the month was in progress.
In light of the fact that the decision was made, what exactly does it mean that the choice was accepted?
In accordance with the verdict, Google is obligated to make it possible for users to download Android app stores that are offered by third-party competitors. For a period of three years, the corporation is prohibited from imposing restrictions on the usage of payment mechanisms that are integrated into the application.
In addition, it is important to keep in mind that Google does not possess the right to impose restrictions on the utilization of ways to make payments online.
Additionally, the verdict makes it unlawful for Google to give money to manufacturers of smartphones in order to preinstall its app store. Smartphone manufacturers are prohibited from doing so.
Furthermore, it prevents Google from the possibility of sharing the revenue that is generated by the Play store with other companies that are in the industry of delivering mobile applications.
In addition to this, the court has mandated the establishment of a technical committee that will be made up of three different people chosen at random.
The committee will be responsible for monitoring the implementation of the reforms and finding solutions to any disagreements that may occur as a consequence of the implementation of the reforms while they are being implemented. This task will fall under the committee’s purview so that it may fulfill its duties.
However, certain components were allowed to be put into action until July 1st, despite the fact that the judge’s statement suggested that the ruling would take effect on November 1st. The statement was the basis for the ruling, which ultimately became effective.
Particularly, I wanted to know what Google’s reaction would be.
There is a fact that Google does not adhere to this directive, which has been brought to their attention. This document argued that the alterations that the judge had ordered to be made would “cause a range of unintended consequences that will harm American consumers, developers, and device makers.”
The judge had ordered the modifications to be implemented. The alterations were to be carried out as indicated by the judge’s ruling. The judge made it clear that he expected these revisions to be carried out in accordance with his guidance.
The company’s regulatory affairs vice president, Lee-Anne Mulholland, provided the following statement: “We look forward to continuing to make our case on appeal, and we will continue to advocate for what is best for developers, device manufacturers, and the billions of Android users around the world.”
On average, over seventy percent of the total market for smartphones and other mobile devices is comprised of mobile devices that are powered by the Android operating system. Both smartphones and other small mobile devices are included in this category.
In the event that the Play app store continues to be shown on the home page and that other Google applications are pre-installed prior to the installation of the Android application, smartphone manufacturers are entitled to install the Android application at no cost at their discretion.
Additionally, the Android application can be installed on devices that are manufactured for smartphones.
SOURCE: DWN
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Over The Planned “Link Tax” Bill, Google Threatens to Remove NZ News Links.
Tech
WhatsApp Now Features a “Mention” Tool for Status Updates and Stories.
(VOR News) – Those who use WhatsApp now have the ability to mention other people in their stories or status updates as a consequence of a feature that was only recently enabled on the platform.
Previous to this point, this capability was not available. It wasn’t until quite recently that this capability became available to the public.
According to the information that was provided by the company, users now have the opportunity to tag close friends in their stories, and the person who is mentioned will have the option to go back and re-share an earlier version of that story. This information was provided by the company. The corporation was kind enough to reveal this information to us.
Because of a new feature that has been added to the WhatsApp app, users now have the opportunity to like individual stories and status updates.
This capability was previously unavailable to WhatsApp users.
A significant amount of progress has been made in this context. Alternative readers now have the chance to “like” a work, which is comparable to liking a post on Facebook. This feature was introduced in recent years. When compared to the past, this is a tremendous shift.
At one point in time, viewers were only permitted to observe the total number of views that a particular story had gotten. These restrictions were eliminated in later versions of the software.
Additionally, it is essential that the likes and reactions to a story be kept anonymous during the entire process. One of the factors that contributes to the general mystery that surrounds this characteristic is the fact that this is one of the elements.
The person who brought it to the attention of others is the only person who will be able to judge who enjoyed it and who did not care about it. These individuals will be able to make this determination.
A notification will be issued to the individual who was referenced earlier in the sentence and who was named in the story or status update that was discussed. A notification of this nature will be sent to the individual via WhatsApp.
This message will be sent to the user in question whenever that person makes a reference to another person while they are in the process of elaborating on a narrative or updating their status. You will receive a notification alerting you that you have been tagged in the narrative.
This notification will be delivered to the person who receives this message. In addition, students will be provided with the opportunity to re-share the tale for themselves.
It is important to note that if the names of individuals who have been referenced in a narrative or a status update are included in any of these, then the names of those individuals will not be accessible to any third party through any of these. In light of the fact that the identities of those individuals will be concealed from public disclosure, this is the condition that will be required.
While WhatsApp recently made the announcement that it will be incorporating this functionality, it is highly likely that not all users will have access to it at the same time.
This is despite the fact that WhatsApp recently made this announcement.
Despite the fact that WhatsApp has only recently made a public announcement that it will move forward with the deployment, this is the situation that has presented itself.
As soon as a short period of time has elapsed, access will be made available to each and every person on the entire world.
Additionally, WhatsApp has hinted that new functionalities might be introduced to the status and updates tab in the future months.
The purpose of these capabilities is to provide users with assistance in maintaining healthy connections with the individuals who play a vital role in their living experiences. This is done in order to give users with support in maintaining close relationships with the folks who are the subject of the inquiry.
It is with the purpose of supporting users in successfully keeping close ties with the individuals in question that this step is taken.
SOURCE: DN
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Over The Planned “Link Tax” Bill, Google Threatens to Remove NZ News Links.
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Tech
Over The Planned “Link Tax” Bill, Google Threatens to Remove NZ News Links.
(VOR News) – Google has sent a strong message to the New Zealand government, threatening to stop boosting local news content should the Fair Digital News Bargaining Bill become law.
The law, put up by the Labour government and backed by the coalition in power at the moment, mandates that digital companies such as Google pay back news organizations for links to their material.
News publishers, on the other hand, charge the tech giant with “corporate bullying.”
Google says this measure may have unanticipated effects.
Google New Zealand’s country director, Caroline Rainsford, voiced her worries that the law, which is being referred to as a “link tax,” is not doing enough to support the media industry in New Zealand right now.
She underlined that Google would have to make major adjustments if the previously mentioned law were to pass, including cutting off links to news articles from its Search, News, and Discover platforms and cutting off financial ties with regional publications.
According to Rainsford, similar legislation has been proposed and approved in other nations including Australia and Canada, but it has not been proven to be effective there and breaches the principles of the open web.
She drew attention to the fact that smaller media outlets will be most negatively impacted, which will limit their capacity to reach prospective audiences.
Google says its alternative options will protect smaller, local media from negative effects.
Conversely, it conveys apprehension regarding the possible fiscal obligations and vagueness of the legislation, which it feels generates an intolerable level of ambiguity for enterprises functioning within New Zealand.
The New Zealand News Publishers Association (NPA) has reacted to Google’s warnings by alleging that the internet behemoth is using coercive tactics.
They specifically contend that the need for regulation stems from the market distortion that Google and other tech giants have created, which has fueled their expansion into some of the most significant corporations in global history.
The legislation aims to create a more equal framework that media businesses can use to negotiate commercial relationships with technological platforms that profit from their content.
New Zealand Media Editors CEO Michael Boggs stated that he was in favor of the bill, citing the fact that Google now makes a substantial profit from material created by regional publications.
He also emphasized that the use of artificial intelligence by Google—which frequently makes references to news articles without giving credit to the original sources—highlights the significance of enacting legislation.
Paul Goldsmith, the Minister of Media and Communications, has stated that the government is now evaluating various viewpoints and is still in the consultation phase.
He stated that the government and Google have been having continuous talks and will keep up these ongoing discussions.
However, not all political parties accept the validity of the Act.
The ACT Party’s leader, David Seymour, has voiced his displeasure of the proposal, saying that Google is a game the government is “playing chicken” with. He threatened the smaller media companies, saying that they would suffer from worse search engine rankings if the internet giant followed through on its promises.
Seymour contended that it is not the government’s responsibility to shield companies from shifts in the market brought about by consumer preferences.
The things that have happened in other nations are similar to what has happened in New Zealand.
Google has agreements with a number of Australian media firms that are in compliance with its News Media Bargaining Code. These agreements contain provisions that permit an annual cancellation of these agreements.
Due to the government’s decision to exempt Google from the Online News Act, the company has committed to supporting news dissemination by contributing annually to the Canadian journalistic community.
The New Zealand measure is consistent with global approaches aimed at regulating the relationships that exist between technology corporations and media organizations.
It’s hard to say what will happen with the Fair Digital News Bargaining Bill as the discussion goes on. Google and the New Zealand media landscape are preparing for what might be a protracted legal battle.
SOURCE: TET
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