Apache Solr can be defined as a code layer which covers Lucene and that transforms the same into a search platform used for the creation of search applications. Apache Solr features several capabilities which can spin the core search-capability and then turn the same into Full-fledged search applications. It offers users the chance to make the selection to work directly with the associated license library for exploring and manipulating competencies of lower Lucene. Read more “What are Apache Solr and its advantages?”
Elastic search is a search engine, which is open-source, is broadly distributed over the internet, is fast and scalable, and a great big–data solution with analytics of the database. The search result of ElasticSearch is very fast because rather than searching the text or keyword, it searches the index of the file. It searches the text and index files in different formats, which makes it super-fast.
ElasticSearch can search up to thousands of servers simultaneously and collect petabytes of data. This is possible because of its elaborated and distributed structure. Other than only searching the keyword, it can be used in analytics storage, spell checker, alert generator, storing the document, and auto-completing the files.
The advantages of ElasticSearch makes it more important for any business:
- Plenty of search options: This is the single search engine that has multiple search options in it. It has slitting text, customized stemming, faceted search, auto-completion, instant search, fuzzy search, a website search, full-text search, index search, everything in it.
- Date record: ElasticSearch records all changes made while transactions to minimize the chance of data loss.
- Uses RESTful API: ElasticSearch is API dependent, so the results can be performed using a simple RESTful API.
- Distributed approach while searching: Automatically, it will reroute and balance the changes when new documents are added. It’s highly document-oriented.
We have gathered some of its few main and important capabilities which shows its importance to any business and how it helps in the same.
- Full-text search engine:
This is built on top of Lucene; Elasticsearch offers wide and most powerful full-text search capabilities and lets one perform and combine many types of searches simultaneously like structured, unstructured, geo, and metric. Wherein the traditions database was not designed like this.
- Analytical Engine
Other than its more popular full-text search, Elasticsearch is used for log analytics, splitting of numerical data such as application and infrastructure based on the performance metrics. This took the faceting search to another level.
- Scalability because of distributing architecture design
It takes many decisions automatically and provides good API management. Scaling is much easier with many other systems, even though large Elasticsearch clusters come with a new set of issues and often require expertise search options. At the time of node failure, it replicates the data to prevent it from data loss
- Effective investment for any business
The terms and mechanics of Elasticsearch are quite easy to understand, best for the relatively small data set-up and small deployment.
- Mind-blowing ecosystem
It has one of the well-documented APIs. The availability of these APIs made it easy for any developer to integrate them and work on them. And the Elasticsearch support helps any business to opt for this search engine to their organization. It is compatible with many languages.
These are some of the points to understand the importance of Elastic search. And there are many Elasticsearch Consulting services available that do all these services for the organization.
Let’s face reality. You must have received the alert of slow queries some time. We are here to assist you in learning about the issue’s root cause and the ways of fixing it. However, before getting into fixing the query, it’s better to understand its intensity.
So, let’s analyze both the logs and metrics and inspect the slow queries.
The first step of detecting all the slow queries is to log them and filter the slow ones using QTime. You can use any of the online apps for logging your data and further observe the percentiles and their sudden increase in peaks.
Solr logs integration is one of the best options you can prefer as it speeds up the whole analysis with its predefined dashboards. You can prefer some particular mark for picking out the slow queries, say the ones slower than 400 ms.
And the most beneficial part of using this method is that you don’t need to stay attentive and look out for slower queries yourself as you can tap the bell icon and receive the alerts on every slow query. And in case you have got an alert, but the concerned query doesn’t appear to be expensive, then you need to focus on the metrics and analyze the environment to learn about the in-depth cause.
Considering the respective metrics:
To enhance the logs, integration is all about selecting the relevant metrics and exploring them further. And here, the solr dashboards make your life easier by sending them to the solr cloud and exploring them further. And the utmost convenience solr offers is the splitting of the screen, using which you can simultaneously manage the metrics and logs.
Here is the step-to-step guide to using this brilliant feature:
Tap on the split-screen option if you are using solr sematext cloud app and using your current dashboard.
Now, select an efficient monitoring app capable of capturing your existing logs from the specific app that questions solr.
You can prefer analyzing the system metrics to predict the problematic area, and you can try changing your mouse’s position and notice the line pattern that appears. Such fluctuations in the pattern usually indicate the issue in the CPU.
At this stage, when you know that the main reason for slow queries is your CPU and particularly the indexing. And for this, we would ensure that indexing is accurate.
Fixing the slow queries:
In this case, it would be best if we ensure that the indexing doesn’t affect the CPU’s working by choosing any of the two below-mentioned fixes:
- By limiting the rate of the indexing application.
- By providing additional hardware to the cluster used, especially while using the solr cluster.
There are some other common causes excluding this disturbed indexing. Here are some of them with effective tips to resolve:
- Garbage gathering stops: This situation needs tuning of the garbage collector.
- Using multiple phrases can lead to problematic consequences, and you can minimize your fields’ usage to avoid this problem. These fields include pf2 and pf3 fields.
Almost all of these problems show mutual symptoms in both the testing factors, i.e. metrics and log. We can also try adding warm queries. You can rely on this write-up to learn about the slow queries alerts and fixing methods.
Salesforce community is an online platform that allows companies to expand their business by connecting their partners, customers, and employees with each other. With the help of this community, anyone can ask questions from other community members and find the answers to his question.
No matter you are operating a small or large business. But if you want to upgrade your brand loyalty or want to increase your customers then, the Salesforce communities will be the right choice for you. In this world of digitization, communication with the customers, employees, partners is vital for the overall growth of the organization. That’s why companies and organizations are focusing more on collaborating and interacting ability.
So, if you want to attract traffic to your websites or want to enlarge your business then, you should try adopting Salesforce communities as this can provide you dozens of benefits.
Benefits of salesforce communities
Salesforce community is a great way to make connections with customers and employees and greatly impact the success of the business. Also, the salesforce provides better CRM (customer relation management) solutions. But it doesn’t stop there, the Salesforce also provides various marketing tools which help your business to grow better and bigger.
There are various benefits of adopting Salesforce communities that can help you stand on a higher and safer stage.
- Stay connected always
Salesforce community helps the business to add new customers and retain old customers effectively with the help of an advanced communication platform. This new platform helps every user to interact with each other anytime and everywhere and solve all their queries.
- Great customization
Salesforce communities enable the business to customize the features and theme of the gateway to match with the company’s brand name. Also, with the help of Salesforce marketing tools, you can increase or decrease the scope of access of every individual user. This allows you to easily handle the business activities and retain customers for a long time.
- Beneficial for all
As this Salesforce community builds a single communication platform for all so, this will encourage more sharing and help. also, with the help of this platform customers can share files, documents, and help each other to solve their tasks.
How to get started with Salesforce?
If you are planning to take advantage of the Salesforce community then, there are few things you must know before setting up your salesforce profile.
There are 3 different editions of Salesforce community licensing i.e. customer, partner, and lightning external. Also, in each edition, there are two types of options i.e. login based and member-based.
- Customer – This edition enables the users to get partial access to the community. In this edition, the users can design a case and acquire access through various documents.
- Partner – This edition is for B2B which allows the business to store sales data. In other words, this is mainly a partner relationship management program.
- Lightning external – this edition is helpful for all and allows the business to build portals to handle every activity.
- Domain name
Under the Salesforce community, each org can attain up to 100 communities and every community must have a different domain name. along with this, the org will also have a default domain name under which all the communities run. No doubt that domain names are good for testing but to improve the growth of the company but using subdomains can help the business to have a higher reach.
Sandboxes are a great way to test your business plans as this is a safer option as compared to production. The sandboxes will build up any code without any problems which are necessary for the growth of the business.
Salesforce communities offer unique and advanced templates which help business owners to advertise their business effectively and effortlessly. Also, this feature allows the business to build up a more secure platform with the best user-interface which attracts more and more audiences.
So, the Salesforce community offers you a great platform to build great connections with all the people necessary for the business. If you are planning to increase your sales, or increase your customers, or want to build strong connections then, choosing Salesforce is your best bet.
Keeping a regular check is the most vital aspect of working with a system, and troubleshooting the issues and further fixing them is equally important. And the monitoring tools are your saviors at working on a system and monitoring it to ensure the accurate system operation. Search engine boosts various applications; Elasticsearch monitoring is an important and primary building block of a successful operation.
Elasticsearch infrastructure covers almost all the vital system components, including the CPU, indexing and rates, memory and various metrics. Numerous monitoring tools help to predict the system’s technical issues with their additional merits and demerits.
The write-up will describe four monitoring tools in main and their lacking sectors.
Open-source tools for monitoring elasticsearch:
ElasticHQ has received 4.3K stars and gives all the access to the users regarding statistics and controlling over elasticsearch operations. It also contains pre-defined charts and enables you to keep a regular eye on indexing, clusters, and even relevant metrics.
This is an MIT licensed tool that has earned 30 stars on Github and enhances your system’s built-in capabilities. Cerebro was earlier installed as a plugin on elasticsearch.
However, with fewer updates, it’s family is small and has no frequent updates.
- Elastic Stack:
Elastic offers the overall monitoring features, including all the kibana and beats, and has a substantial user community.
Kibana is the one offering several dashboards and visualization options to be customized according to your requirement. However, the central aspect where it fails is the alert notifications, and the user will need to configure the notifications himself.
- Prometheus and Grafana:
This is a specific metric collection tool having around millions of downloads and thousands of stars; 28.1K and 32.5K stars. These tools enable you to see the data for more extended periods, but its only downside is that it fails when it comes to displaying full-text data querying. Adding to this, this doesn’t support data logs.
Which tool should you prefer?
Before concluding further and jumping into choosing the right suitable monitoring tool, let’s highlight a few things.
Both ElasticHQ and Cerebro are mainly created for elasticsearch and are some of the most convenient options to use. At the same time, the Prometheus and grafana (doesn’t feature index) are the ones with numerous features but are not meant for monitoring the elasticsearch.
Last but not least, Elastic is the one that needs expert handling.
Why do you need an additional monitoring tool except for the standard tool?
Unpredictable issues can encounter you even if you are using the most reliable monitoring tool to keep an eye on elasticsearch. The primary aspect is to know the exact metrics and infrastructure. All the metrics work like a team and operate your system, and even the tiniest fluctuation or change can disturb their functioning.
So, successfully operating the elasticsearch and working on it conveniently needs much more focus and perfect visibility. And opster is the one monitoring tool offering a wide variety of features like incident forecasting and workload balancer, which is the most prominent.
Opster allows automation of workflows to deal with elasticsearch for reducing your manual efforts. It troubleshoots the root cause of issues and resolves them quickly. You come across tuned dashboards with opster to ensure 100% attention to the required sectors.
Several monitoring tools are launched but don’t work equally. Considering the complexity of elesticsearch, many of the monitoring tools offering essential services are not appropriate for most users.
Opster is probably the best option for troubleshooting different issues and resolving them. This monitoring tool can prepare your system to prevent several issues that are not even observed yet.