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Showing entries 1 to 10 of 173 10 Older Entries

Displaying posts with tag: monitoring (reset)

5 Database Insights Easy to See with VividCortex SaaS Monitoring
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There are manifold ways to collect, visualize, and analyze data… but not all methods are equally useful. VividCortex, however, is singular as a database-centric SaaS monitoring platform, and it's designed to provide you with powerful insights into your system that are both inherently actionable and unique. Within minutes of first booting up VividCortex, users frequently discover new aspects of their system. They understand it in brand new ways, just by viewing our app’s basic dashboards and metrics.

But that's just the start. Even beyond those initial revelations, there are many more powerful insights …

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VividCortex's SQL Injection Detection
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For data-driven applications, security is of absolute importance. Virtually all modern tech-driven organizations must treat the protection of sensitive information as an imperative. At VividCortex, we know that our customers value the premium we put on data-security, along with the specific defenses we have in place that keep their data out of the wrong hands.

One such defense is VividCortex’s SQL injection detection. As all DBAs know, SQL injections are one of the most nefarious threats to a data system. For those less familiar, a SQL injection is an attack that …

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CloudWatch Integration in VividCortex
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Until recently, VividCortex was still in the process of building some important support mechanisms for Amazon RDS. RDS is an extremely powerful database service, and for some purposes it requires its own, unique tooling. We needed to find a way to provide important operating system metrics, which are normally very useful in an environment and allow us to understand how a database interacts with available resources.

 

With our recent integration of CloudWatch, all of that changes. We’re now able to pull in all metrics regarding a database …

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Why Use Slow Query Logs When There’s VividCortex?
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At VividCortex, we believe that database monitoring can be much, much better than what many people currently settle for. In fact, we know that monitoring needs to be better -- more reliable and more efficient than what many engineering and operations teams currently use. Databases are getting larger and more complex all the time, and older monitoring techniques can’t …

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Addressing a Problematic MySQL Query and its Effects on Amazon Aurora
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Since we announced our support for Amazon Web Service's Aurora last year, we've had great experiences working with customers who use Aurora as their database system of choice. And not only is Amazon's RDS excellent, so is their team and support.

Recently, we encountered a MySQL bug that was, in turn, having effects on Amazon’s RDS. The MySQL issue involved a problematic query that caused Aurora instances to crash under load; upon discovering this issue, we had the opportunity to work with AWS to identify the error in MySQL and fix it, …

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How VividCortex Uses the New Generated Virtual Columns Feature in MySQL
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In an industry as fast-growing and interconnected as database technology’s, it’s exciting to track how innovations in one platform can ignite beneficial, rippling effects on other, surrounding systems. At VividCortex we frequently find ourselves faced with opportunities to improve our monitoring solutions based on how database technologies (such as MySQL, Redis, PostgreSQL, etc) develop and integrate new upgrades.

When those platforms that we monitor -- already powerful, tried and true -- equip themselves with new features, we work to discover how VividCortex can leverage those features and make our own …

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(MySQL) Performance Monitoring with Prometheus [UPDATE]
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In my last I was looking for a way to do performance monitoring and I stumbled upon Prometheus. Prometheus is much more than monitoring a single node service. Anyway let’s get the idea of gathering metrics using MySQL as example.

This how a simple configuration of Prometheus could look like:

global: 
  scrape_interval: 1m
  scrape_timeout: 10s
  evaluation_interval: 1m

scrape_configs:
  - job_name: mysql
    scheme: http
    target_groups:
    - targets: 
        - '10.17.148.31:9104'
      labels:
        zone: mysql

Every minute Prometheus …

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Why an App-Centric View Isn't Enough
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Sylvia Botros, Sendgrid’s lead DBA, recently told us about one of the ways her teams have found unique value in VividCortex. “Engineering managers and individual developers have pinged me and said, ‘Hey, I saw this in VividCortex -- what do you think?’ Some of our developers are not fully familiar with the generals of MySQL,” she explained, “but VividCortex is giving them a view into how their app is dealing with databases. And at the same time it’s teaching them DB lingo, which is good.”  

This feedback from Sylvia opens the door to one of the questions we hear a lot about …

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Real time query monitoring on MySQL - with 3rd party tool and without
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I've tried out Idera's MySQL Query Explorer, a free tool and I found it easy to use and simple to setup. The only improvement that can be suggested is to add, on the technical requirements page, that your MySQL instance (MySQL Server version 5.5 and newer) must be running with the performance_schema turned on. Otherwise the tool will just display an empty grid. After you've successfully set

Use VividCortex to View WiredTiger Metrics and Charts for MongoDB
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VividCortex is designed to offer its users as much access and visibility into their database systems as possible. With that in mind, we're excited to let all of our MongoDB users know that VividCortex is capable of capturing, displaying, and navigating metrics and charts produced in MongoDB's powerful WiredTiger storage engine. 

Beginning with MongoDB version 3.0, users will have the option of selecting one of two storage engines: the default MMAPv1 engine, as used in prior MongoDB releases; or the new WiredTiger engine. As …

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Showing entries 1 to 10 of 173 10 Older Entries

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