Tips

Tips

AWS database management

• Set and track backup activity with the AWS Backup service

  AWS Backup service configures, tracks and manages backups across multiple data storage services. It can save time and resources, but still has limitations.  Continue Reading

• DocumentDB vs. DynamoDB: Compare AWS NoSQL databases

  Infrastructure and cost management will be key factors if you have to decide between DocumentDB and DynamoDB. Learn how the two AWS document database services differ.  Continue Reading

• Oracle vs. AWS: Compare cloud databases, PaaS and SaaS

  Oracle and AWS gear their clouds toward different users, so it's important to know where your organization falls. See which database, PaaS and SaaS options match your requirements.  Continue Reading

• Set your AWS cloud migration strategy before the big move

  A move from on premises to the cloud doesn't happen with a click of a button. Set clear goals, and familiarize yourself with AWS' various native tools to make the most of your move.  Continue Reading

• Follow these steps for an Oracle-to-AWS migration

  AWS represents the first viable alternative to Oracle for many organizations. Review your options, and follow these steps for a successful database move to the cloud.  Continue Reading

• RDS on VMware extends AWS' hybrid strategy

  RDS on premises expands the AWS and VMware relationship, but adoption will depend on the breadth of capabilities for the managed database service.  Continue Reading

• Weigh your AWS database options before a migration

  A database migration can be quite messy. Determine your requirements and whether native Amazon services can meet them before you do a complete on-prem database teardown.  Continue Reading

• DynamoDB pricing option makes it a go-to for serverless apps

  DynamoDB had its drawbacks, but the addition of on-demand billing and ACID transactions makes it a solid database option for serverless applications.  Continue Reading

• Explore Aurora Serverless capabilities for enterprise use

  Users should explore the potential benefits and disadvantages of AWS' serverless database option before they jump in and focus on which environments the service fits best.  Continue Reading

• Public snapshots pose significant Amazon EBS security risks

  Exposed EBS snapshots can leave volumes open to public intrusion or manipulation. Manage your snapshot settings carefully to protect your EC2 data.  Continue Reading

• Perform an Amazon RDS failover with minimal downtime

  Walk through this example of an RDS failover process using the Amazon Aurora engine to minimize production downtime and maintain performance in your cloud environment.  Continue Reading

• Amazon Neptune arms analytics teams with graph databases

  Turn to a graph database to put aside table joins for good. With Amazon Neptune, a developer can assess and query relationships between data sets.  Continue Reading

• Assess AWS serverless costs and learn how to reduce them

  Serverless architectures help teams deploy to production faster but also introduce an entirely new cost structure. Use this step-by-step example to know what to expect on a bill.  Continue Reading

• AWS termination protection acts as resource safety belt

  In the push to get applications to production quickly, mistakes can happen. But you can avoid potentially disastrous AWS resource deletion through these features and strategies.  Continue Reading

• Build a data lake in AWS for analytics success

  It can feel overwhelming to migrate data to AWS for analysis. But, while there are challenges, Quick Start guides and services like Snowball and Glue ease the process.  Continue Reading

• DynamoDB features recharge AWS database service

  Developers who got sick of AWS' roundabout backup method for DynamoDB can breathe a sigh of relief. Backup and Restore, as well as Global Tables, eliminate cumbersome processes.  Continue Reading

• Aurora Serverless leads next wave of cloud database features

  IT teams face a notoriously difficult task when it comes to database scaling and management. New Amazon Aurora features can ease some of these woes and potentially reduce costs.  Continue Reading

• Common Amazon EBS performance issues, and how to troubleshoot them

  Having EBS trouble? You're not alone. Use these troubleshooting tips to work through common EBS issues, such as stuck volumes and slow performance.  Continue Reading

• Amazon DAX manages database spikes for improved performance

  The DynamoDB Accelerator reduces database latency without tacking on a separate cache. While the service has some early limitations, DAX benefits enterprises with real-time apps.  Continue Reading

• Compare AWS data management services to Google, Microsoft

  AWS data management encompasses a long list of services that compete with Google and Azure, but it still could improve data security, governance and other features.  Continue Reading

• Compare, contrast AWS storage management options

  When it comes to AWS storage management for high-performance applications, EBS Elastic Volumes and Elastic File System each have separate advantages.  Continue Reading

• Close the loop on the AWS data management gap

  Not all tools are effective in managing data across disparate sources. IT teams must take new approaches to data management to avoid getting tangled up in integration issues.  Continue Reading

• Use Amazon ElastiCache to preserve database performance

  Amazon ElastiCache enables developers to choose between Memcached or Redis for a caching engine, depending on the complexity of the data structures.  Continue Reading

• AWS Lambda functions have storage capacity, longevity limitations

  AWS Lambda's high scalability can serve as a limitation, as data can be lost if too much strain is placed on the data store. These methods can work around Lambda memory limitations.  Continue Reading

• Overcome legacy DynamoDB limits with a hot migration

  Performing a hot migration in DynamoDB can be a stressful but often necessary process. Here are the steps to upgrade tables without causing downtime or service interruptions.  Continue Reading

• Identify CloudWatch metrics for real-time application monitoring

  IT teams running real-time apps on AWS must monitor application health and performance. Amazon CloudWatch is a useful tool for monitoring SQS, Kinesis and Lambda.  Continue Reading

• Go beyond best practices with AWS data replication

  Data replication ensures resources are consistently available; replicating data to a separate repository further accelerates recovery. AWS provides these data repository options.  Continue Reading

• Tailor AWS storage options to enterprise data needs

  How IT teams store data in the cloud can affect performance, costs and security. Identify your needs to choose the right AWS storage service.  Continue Reading

• Amazon Redshift review reveals quirks, frustrations

  The Amazon Redshift data warehouse earns positive reviews for its performance capabilities, but reviewers want more from the big data service.  Continue Reading

• AWS gives database users multiple RDS options

  Amazon RDS gives developers several choices for database engines. While each enterprise has its own needs, they must consider licensing, pricing and open source capabilities.  Continue Reading

• DynamoDB Streams keep database tables in sync

  Developers who want to deploy localized apps in different regions should know about database synchronization challenges. DynamoDB Streams and Lambda can ensure tables are updated.  Continue Reading

• Improve querying with Redshift, MySQL database replication options

  Database replication can speed query performance. But to get it right, developers must understand all the components involved with Amazon Redshift and MySQL.  Continue Reading

• Kappa Architecture pushes database to next level

  Amazon Aurora allows a database to scale, but Kappa Architecture takes the lid off database limitations -- allowing admins to create materialized views of data across server clusters.  Continue Reading

• Four common AWS cloud migration mistakes

  With more than one million customers, AWS has convinced enterprises of all shapes, sizes and industries that its cloud can improve IT operations. But the move isn't always flawless.  Continue Reading

• Where to look when AWS database services aren't enough

  Even though AWS has a rich portfolio of database services, it's not perfect for every enterprise. Know where to look for alternative managed database services.  Continue Reading

• Manage services with Amazon DynamoDB database tool

  Amazon DynamoDB manages database administration tasks, freeing up time for developers to write code for independent distributed services that correspond to defined attributes.  Continue Reading

• Which AWS capabilities will withstand market saturation?

  While AWS offers a slew of EC2 instance types and database options, the cloud provider may be reaching its technological limits on core services. So, where can AWS thrive in future years?  Continue Reading

• Five AWS data migration methods to consider

  Data migration can be challenging, whether moving from on premises to cloud environments or vice versa. But these AWS techniques ease that process.  Continue Reading

• Azure or AWS? A cloud database comparison

  AWS offers a multitude of database services, but Microsoft Azure has several options worth considering for a savvy multi-cloud user.  Continue Reading

• Tune database query performance with Redis cache

  To tune a database, start with query optimization and data model tuning. When those fail to deliver necessary query performance, turn to Redis cache.  Continue Reading

• Four ways to secure AWS Relational Database Service

  AWS considers security a shared responsibility, so admins must take all steps necessary to ensure data that resides in RDS is safe.  Continue Reading

• Working with graph databases and AWS

  Facebook and LinkedIn use graph databases for social applications. But enterprises should look into how a database like Titan can work with AWS.  Continue Reading

• Amazon RedShift performance monitoring strategies

  The RedShift platform tackles a lot of cluster and database administration, but doesn't do it all. Some AWS tools can fill the monitoring void.  Continue Reading

• Amazon Cognito offers back-end support in multi-device world

  Users working on multiple devices want access to customized app environments. Cognito creates a back end for identity management and gives those users a consistent experience.  Continue Reading

• AWS demands need for database monitoring

  Deploying a database on top of AWS demands the need for monitoring and management capabilities to reduce impact of failures and keep costs down.  Continue Reading

• How to navigate the AWS Management Console

  This tip reviews the multiple services available through the AWS Management Console and the features available to help navigate it.  Continue Reading

• Aurora takes AWS databases to the next level

  Building on previous AWS database options, Amazon introduced Aurora at re:Invent in Las Vegas. See what Aurora has that SimpleDB and RDS don't.  Continue Reading

• Match an AWS database service to your needs

  Many companies look to move databases to AWS to save space and money. Which AWS database service is right for your needs?  Continue Reading

• Comb through cloud databases with Amazon CloudSearch

  With a little work and reformatting, Amazon CloudSearch lets developers easily query unstructured data to find useful nuggets.  Continue Reading

• What to consider when provisioning NoSQL databases on AWS

  George Lawton reviews what enterprise architects need to consider when developing and deploying NoSQL databases on AWS.  Continue Reading

• Why enterprises are deploying NoSQL databases on AWS

  George Lawton explains the advantages of deploying NoSQL databases on Amazon Web Services. Building applications on AWS is easy and inexpensive, and using NoSQL database reduces failure, improves performance and increases scalability.  Continue Reading

• Storage vs. database: Moving data to the AWS cloud

  David Linthicum reviews the benefits of database choices from Amazon Web Services and the advantages of leveraging object storage like Simple Storage Service as a storage category.  Continue Reading

• Four questions to ask about Amazon data warehouse services

  Data analysis allows enterprises to follow and adapt to changing market demands. Amazon Redshift and RDS are two cloud-based tools your enterprise might want to investigate.  Continue Reading

• AWS storage services and application requirements

  AWS storage services include Simple Storage Service, Elastic Block Storage, Glacier storage and DynamoDB. Here is a breakdown of each service's characteristics and what it provides based on application requirements.  Continue Reading

• How to weigh Amazon DynamoDB vs. SimpleDB

  DynamoDB and SimpleDB can improve flexibility and reduce app development time. Selecting the right environment lets you get the most out of each.  Continue Reading

• Achieve better SQS access control using Amazon IAM

  Learn how to attain better Amazon Simple Queue Service control with Amazon Identity Access Management.  Continue Reading

• Identify the best Elastic MapReduce framework for Hadoop

  Busy developers don't want to spend more time writing code than necessary. These three Python MapReduce frameworks fit the bill for EMR jobs.  Continue Reading

• Who said AWS can't be flexible: Understanding your bill

  Explore the flexible capabilities of Amazon Web Services billing and consider the benefits of leveraging a cloud financial management system.  Continue Reading

• Redshift is game changer for data warehouse in the cloud

  Amazon Redshift is changing the game for what's possible around the construction of data warehouses in the cloud.  Continue Reading

• Four points of archiving data on AWS S3

  Storing archives on S3 can be a cost-effective option with proper planning and long-term management.  Continue Reading

• Amazon Redshift an appealing alternative to on-premises data warehouse

  Amazon Redshift has intriguing pricing and features, but beware of its differences from a traditional, on-premises data warehouse.  Continue Reading

• The battle for cloud services: Microsoft vs. Amazon

  Microsoft’s Apache Hadoop on Windows Azure Preview is the software giant’s gambit to unseat Amazon Web Service’s Elastic MapReduce. Learn which approach better suits your development needs.  Continue Reading