Articles
Migrating to the cloud — let APM Analytics Show You the WayTransitioning distributed applications to the fast-changing environment of the cloud is a complex and risky process.Read More...
Self Tuning Applications in the Cloud: It’s about time!In my previous blog I’ve written about the hard work needed to successfully migrate applications to the cloud. But why go through all that work to get to the cloud?Read More...
Planning for Failure with APMIf you are running mission-critical applications and do not have a strategy to deal with failure, you are putting your whole organization at risk.Read More...
An Introduction to the Data CloudAs data has grown exponentially at many sites, companies have been forced to horizontally scale their data.Some have turned to sharding of databases like Postgres or MySQL, while others have switched to newer NoSQL data systemsRead More...
Data CloudIn my previous blog, I wrote at length about the complexities of running a data cloud in production. This logical data set, spread across many nodes, requires a whole new set of tools and methodologies to run and maintain .Read More...DevOps Days TorontoThe DevOps Metrics Panel, during this event, conducted in depth discussions on Metrics, which is a standard for measuring or evaluating something. The most relevant one being the one that uses figures or statistics. Read More...Best Practice - Business Transaction StrategyYour application performance is reflected to a great extent through business transactions. Optimized business transactions give valuable information that accurately show what is happening in your application environment.Read More...Application Mapping in AppDynamicsYour application environment is mapped into an organised hierarchical system of business applications, tiers, nodes and backends by App Dynamics. The latest magic quadrant for Application Performance Monitoring (APM) has been released by Gartner, two of which were Application Mapping and Transaction Profiling.Read More...Life After Sharding: Monitoring and Managing a Complex Data CloudData systems have struggled to keep up with the rapid growth of application data. As a result, many have turned to sharding their data as a solution.Read More...A Short History of PostgresImplementation of the Postgres DBMS began in 1986. The initial concepts for the system were presented in [STON86] and the definition of the initial data model appeared in [ROWE87]. The design of the rule system at that time was described in [STON87a].Read More...