Share this
Best practices for SQL Server instances
by Yaswanth Sala on Aug 2, 2022 12:00:00 AM
These are a few of the Best Practices to keep up the performance better in SQL Server Instances
Configuring Windows
This section covers configuration topics about how to optimize the Microsoft Windows operating system for SQL Server performance when running on Compute Engine.
Setting up Windows firewall
Best practice: Use the Windows Server Advanced Firewall, and specify the IP addresses of your client computers.
The Windows Advanced Firewall is an important security component in Windows Server. When you set up your SQL Server environment so that it can connect to the database from other client machines, configure the firewall to allow incoming traffic:
netsh advfirewall firewall add rule name="SQL Access" ^ dir=in action=allow ^ program="%programfiles%\Microsoft SQL Server\MSSQL12.MSSQLSERVER\MSSQL\Binn\sqlservr.exe" ^ remoteip=LOCAL_SUBNET
When you use this firewall rule, it is a good practice to specify the IP address of your client machines. Specify a comma-delimited list of IP addresses without blank spaces for the remoteip parameter in place of LOCAL_SUBNET. Also, note that the path for the program parameter might change depending on the version of SQL Server that you use.
The SQL Server application image includes a SQL Server Windows firewall rule. This rule is fairly unrestricted, so consider disabling it before your system goes to production.
Tuning network connections
Best practice: Use the operating system’s default network settings.
The default network settings on most operating systems are configured for connections on small computers that are connected to moderately fast networks. Such settings are usually sufficient. Furthermore, conservative defaults make sure that network traffic doesn’t overwhelm the network and connected computers.
Installing antivirus
Best practice: Follow the Microsoft guidance for antivirus software.
If you are running Windows, you should be running some antivirus software. Malware and software viruses present a significant risk to any system connected to a network, and antivirus software is a simple mitigation step you can use to protect your data. However, if the antivirus software is not configured correctly, it can negatively impact your database performance.
Optimizing for performance and stability
This section provides information about how to optimize SQL Server performance on Compute Engine and describes operational activities to help keep it running smoothly.
Moving data files and log files to a new disk
Best practice: Use a separate SSD persistent disk for log and data files.
By default, the preconfigured image for SQL Server comes with everything installed on the boot persistent disk, which mounts as the `C:` drive. Consider attaching a secondary SSD persistent disk and moving the log files and data files to the new disk.
Using a Local SSD to improve IOPS
Best practice: Create new SQL Server instances with one or more local SSDs to store the tempdb and Windows paging files.
The ephemeral nature of local SSD technology makes it a poor candidate for use with your critical databases and important files. However the tempdb and Windows paging files are both temporary files, so both are great candidates to move to a local SSD. This offloads a significant number of I/O operations from your SSD persistent disks.
Setting up TempDB
It used to be a best practice to optimize the SQL Server CPU usage by creating one TempDB file per CPU. However, because CPU counts have grown over time, following this guideline can cause performance to decrease. As a good starting point, use 4 TempDB files. As you measure your system’s performance, in rare cases you might need to incrementally increase the number of TempDB files to a maximum of 8.
Parallel query processing
Best practice: Set the max degree of parallelism to 8.
The recommended default setting for the max degree of parallelism is to match it to the number of CPUs on the server. However, there is a point where breaking a query into 16 or 32 chunks, executing them all on different vCPUs, and then consolidating it all back to a single result takes a lot more time than if only one vCPU had run the query. In practice, 8 works as a good default value.
Best practice: Monitor for CXPACKET waits and incrementally increase the cost threshold for parallelism.
This setting goes hand in hand with the max degree of parallelism. Each unit represents a combination of CPU and I/O work required to perform a query with a serial execution plan before it is considered for a parallel execution plan. The default value is 5. Although we give no specific recommendation to change the default value, it is worth keeping an eye on and, if necessary, increasing it incrementally by 5 during load testing. One key indicator that this value might need to be increased is the presence of CXPACKET waits. Although the presence of CXPACKET waits does not necessarily indicate that this setting should change, it’s a good place to start.
Best practice: Monitor for different wait types, and adjust the global parallel processing settings or set them at the individual database level.
Individual databases can have different parallelism needs. You can set these settings globally, and set Max DOP at the individual database level. You should observe your unique workloads, monitor for waits, and then adjust the values accordingly.
Handling transaction logs
Best practice: Monitor the growth of the transaction log on your system. Consider disabling autogrowth and setting your log file to a fixed size, based on your average daily log accumulation.
One of the most overlooked sources of performance loss and intermittent slowdowns is the unmanaged growth of the transaction log. When your database is configured to use the Full recovery model, you can perform a restore to any point in time, but your transaction logs fill up faster. By default, when the transaction log file is full, SQL Server increases the size of the file to add more empty space to write more transactions and blocks all activity on the database until it finishes. SQL Server grows each log file based off of its Maximum File Size and the File Growth setting.
When the file has reached its maximum size limit and cannot grow, the system issues a 9002 error
( When the transaction log becomes full, SQL Server Database Engine issues a 9002 error. The log can fill when the database is online, or in recovery. If the log fills while the database is online, the database remains online but can only be read, not updated. If the log fills during recovery, the Database Engine marks the database as RESOURCE PENDING. In either case, user action is required to make log space available.)
and puts the database into read-only mode. If the file can grow, SQL Server expands the file size and zeroes out the empty space. The setting for File Growth defaults to 10% of the log file’s current size. This is not a good default setting for performance because the larger your file grows, the longer it takes to create the new, empty space.
Best practice: Schedule regular backups of the transaction log.
Regardless of the maximum size and growth settings, schedule regular transaction log backups, which, by default, truncates old log entries and lets the system reuse existing file space. This simple maintenance task can help to avoid performance dips at your peak traffic times.
Optimizing Virtual Log Files
Best practice: Monitor Virtual Log File growth and take action to prevent log file fragmentation.
The physical transaction log file is segmented into Virtual Log Files (VLF). New VLFs are created every time the physical transaction log file has to grow. If you did not disable auto-growth, and growth is happening too frequently, too many VLFs are created. This activity can result in log file fragmentation, which is similar to disk fragmentation and can adversely affect performance.
SQL Server 2014 introduced a more efficient algorithm for determining how many VLFs to create during auto-growth. Generally, if the growth is less than 1/8 the size of the current log file, SQL Server creates one VLF within that new segment. Previously, it would create 8 VLFs for growth between 64 MB and 1 GB, and 16 VLFs for growth over 1 GB. You can use the TSQL script below to check how many VLFs your database currently has. If it has thousands of files, consider manually shrinking and resizing your log file.
–Check VLFs and substitute your database name below
USE YOUR_DB DECLARE @vlf_count INT DBCC LOGINFO SET @vlf_count = @@ROWCOUNT SELECT VLFs = @vlf_count
Avoiding index fragmentation
Best practice: Regularly defragment the indexes on your most heavily modified tables.
The indexes in your tables can become fragmented, which can lead to poor performance of any queries using these indexes. A regular maintenance schedule should include reorganizing the indexes on your most heavily modified tables. You can run the following Transact-SQL script for your database to show the indexes and their fragmentation percentage. You can see in the example results that the PK_STOCK index is 95% fragmented. In the following ‘SELECT’ statement, replace ‘YOUR_DB’ with the name of your database:
SELECT stats.index_id as id, name, avg_fragmentation_in_percent FROM sys.dm_db_index_physical_stats (DB_ID(N'YOUR_DB'), NULL, NULL, NULL, NULL) AS stats JOIN sys.indexes AS indx ON stats.object_id = indx.object_id AND stats.index_id = indx.index_id AND name IS NOT NULL;
RESULTS
------------------------------- Id name avg_fragmentation_in_percent ------------------------------- 1 ORDERS_I1 0 2 ORDERS_I2 0 1 ORDER_LINE_I1 0.01 1 PK_STOCK95.5529819557039 1 PK_WAREHOUSE0.8
When your indexes are too fragmented, you can reorganize them by using a basic ALTER script. Here is an example script that prints the ALTER statements you can run for each of your tables’ indexes:
SELECT 'ALTER INDEX ALL ON ' + table_name + ' REORGANIZE; GO' FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_TYPE = 'BASE TABLE' AND TABLE_CATALOG = 'YOUR_DB'
Choose the tables from the result set that have the highest fragmentation, and then execute those statements incrementally. Consider scheduling this or a similar script as one of your regular maintenance jobs.
If you are restoring a database from another location to Google Cloud, you should rebuild, or at least reorganize, the indexes, then update usage. Replace YOUR_DB with the name of your database:
dbcc updateusage (YOUR_DB) GO USE YOUR_DB GO
Formatting secondary disks
Best practice: Format secondary disks with a 64 KB allocation unit.
SQL Server stores data in units of storage called extents. Extents are 64 KB in size and are made up of eight, contiguous memory pages that are also 8 KB in size. Formatting a disk with a 64 KB allocation unit lets SQL Server read and write extents more efficiently, which increases I/O performance from the disk.
To format secondary disks with a 64 KB allocation unit, run the following PowerShell command, which searches for all new and uninitialized disks in a system and formats the disks with the 64 KB allocation unit:
Get-Disk | Where-Object {$_.PartitionStyle -eq 'RAW'} | Initialize-Disk -PartitionStyle GPT -PassThru | New-Partition -AssignDriveLetter -UseMaximumSize | Format-Volume -FileSystem NTFS -AllocationUnitSize 65536 -Confirm:$FALSE
Backing up
Best practice: Have a plan for backups and perform backups regularly.
Ola Hallengren’s site provides a good starting point for understanding how to implement a solid backup and maintenance plan.
When taking regular database backups, be careful not to consume too many persistent disk IOPS. Use the local SSD to stage your backups and then push them to a Cloud Storage bucket.
Bulk-loading data
Best practice: Use a separate database to stage and transform bulk data before moving it to production servers.
It’s likely that you will need to load large amounts of data into your system at least once, if not regularly. This is a resource-intensive operation, and you might reach the persistent disk IOPS limit when you do bulk loads.
There is an easy way to cut down on the disk I/O and CPU consumption of bulk load operations, with the added benefit of speeding up the execution time of your batch jobs. The solution is to create a completely separate database that uses the Simple recovery model, and then use that database for staging and transforming the bulk dataset before you insert it into your production database. You can also put this new database on a local SSD drive if you have enough space. Using a local SSD for the recovery database reduces the resource consumption of your bulk operations and the time required to complete the jobs. The final benefit is that your backup job for the production data won’t have to back up all those bulk operations in the transaction log, and therefore it will be smaller and run faster.
Note: Bulk Logged is another recovery model that you might consider for your bulk loading operations. It uses more disk space, more disk I/O, and requires you to regularly run backup jobs on your transaction logs, but it is not as thorough as the Full recovery model.
Validating your setup
Best practice: Test your configuration to validate that it performs as expected.
Whenever you set up a new system, you should plan on validating the configuration and running some performance tests. This stored procedure is a great resource for evaluating your SQL Server configuration. Take some time later to read about the configuration flags, and run the procedure.
Using compressed tables
Best practice: Enable table and index compression.
It might seem counterintuitive that compressing tables could make your system perform faster, but, in most cases, that’s what happens. The tradeoff is using a small number of CPU cycles to compress the data and eliminate the extra disk I/O required to read and write the bigger blocks. Generally, the less disk I/O your system uses, the better its performance.
Note: The table and index compression options are also available for SQL Server Standard Edition 2016 SP1 and later.
Enabling the buffer pool extension
Best practice: Use the buffer pool extension to speed data access.
The buffer pool is where the system stores clean pages. In simple terms, it stores copies of your data, mirroring what it looks like on a disk. When the data changes in memory, it’s called a dirty page. Dirty pages must be flushed to the disk to save the changes. When your database is larger than your available memory, that puts pressure on the buffer pool, and clean pages might be dropped. When the clean pages are dropped, the system must read from the disk the next time it accesses the dropped data.
The buffer pool extension feature lets you push clean pages to a local SSD, instead of dropping them. This works along the same lines as virtual memory, which is to say, by swapping and giving you access to the clean pages on the local SSD, which is faster than going to the regular disk to fetch the data.
This technique is not nearly as fast as having enough memory, but it can give you a modest increase in throughput when your available memory is low.
Share this
- Technical Track (967)
- Oracle (400)
- MySQL (137)
- Cloud (128)
- Open Source (90)
- Google Cloud (81)
- DBA Lounge (76)
- Microsoft SQL Server (76)
- Technical Blog (74)
- Big Data (52)
- AWS (49)
- Google Cloud Platform (46)
- Cassandra (44)
- DevOps (41)
- Azure (38)
- Pythian (33)
- Linux (30)
- Database (26)
- Podcasts (25)
- Site Reliability Engineering (25)
- Performance (24)
- SQL Server (24)
- Microsoft Azure (23)
- Oracle E-Business Suite (23)
- PostgreSQL (23)
- Oracle Database (22)
- Docker (21)
- Group Blog Posts (20)
- Security (20)
- DBA (19)
- Log Buffer (19)
- SQL (19)
- Exadata (18)
- Mongodb (18)
- Oracle Cloud Infrastructure (OCI) (18)
- Oracle Exadata (18)
- Automation (17)
- Hadoop (16)
- Oracleebs (16)
- Amazon RDS (15)
- Ansible (15)
- Ebs (15)
- Snowflake (15)
- ASM (13)
- BigQuery (13)
- Patching (13)
- RDS (13)
- Replication (13)
- Advanced Analytics (12)
- Data (12)
- GenAI (12)
- Kubernetes (12)
- Oracle 12C (12)
- Backup (11)
- LLM (11)
- Machine Learning (11)
- OCI (11)
- Rman (11)
- Cloud Migration (10)
- Datascape Podcast (10)
- Monitoring (10)
- R12 (10)
- 12C (9)
- AI (9)
- Apache Cassandra (9)
- Data Guard (9)
- Infrastructure (9)
- Oracle 19C (9)
- Oracle Applications (9)
- Python (9)
- Series (9)
- AWR (8)
- Amazon Web Services (AWS) (8)
- Articles (8)
- High Availability (8)
- Oracle EBS (8)
- Percona (8)
- Powershell (8)
- Recovery (8)
- Weblogic (8)
- Apache Beam (7)
- Backups (7)
- Data Governance (7)
- Goldengate (7)
- Innodb (7)
- Migration (7)
- Myrocks (7)
- OEM (7)
- Oracle Enterprise Manager (OEM) (7)
- Performance Tuning (7)
- Authentication (6)
- ChatGPT-4 (6)
- Data Enablement (6)
- Data Visualization (6)
- Database Performance (6)
- E-Business Suite (6)
- Fmw (6)
- Grafana (6)
- Oracle Enterprise Manager (6)
- Orchestrator (6)
- Postgres (6)
- Rac (6)
- Renew Refresh Republish (6)
- RocksDB (6)
- Serverless (6)
- Upgrade (6)
- 19C (5)
- Azure Data Factory (5)
- Azure Synapse Analytics (5)
- Cpu (5)
- Disaster Recovery (5)
- Error (5)
- Generative AI (5)
- Google BigQuery (5)
- Indexes (5)
- Love Letters To Data (5)
- Mariadb (5)
- Microsoft (5)
- Proxysql (5)
- Scala (5)
- Sql Server Administration (5)
- VMware (5)
- Windows (5)
- Xtrabackup (5)
- Airflow (4)
- Analytics (4)
- Apex (4)
- Best Practices (4)
- Centrally Managed Users (4)
- Cli (4)
- Cloud Spanner (4)
- Cockroachdb (4)
- Configuration Management (4)
- Container (4)
- Data Management (4)
- Data Pipeline (4)
- Data Security (4)
- Data Strategy (4)
- Database Administrator (4)
- Database Management (4)
- Database Migration (4)
- Dataflow (4)
- Dbsat (4)
- Elasticsearch (4)
- Fahd Mirza (4)
- Fusion Middleware (4)
- Google (4)
- Io (4)
- Java (4)
- Kafka (4)
- Middleware (4)
- Mysql 8 (4)
- Network (4)
- Ocidtab (4)
- Opatch (4)
- Oracle Autonomous Database (Adb) (4)
- Oracle Cloud (4)
- Pitr (4)
- Post-Mortem Analysis (4)
- Prometheus (4)
- Redhat (4)
- September 9Th 2015 (4)
- Sql2016 (4)
- Ssl (4)
- Terraform (4)
- Workflow (4)
- 2Fa (3)
- Alwayson (3)
- Amazon Relational Database Service (Rds) (3)
- Apache Kafka (3)
- Apexexport (3)
- Aurora (3)
- Azure Sql Db (3)
- Business Intelligence (3)
- Cdb (3)
- ChatGPT (3)
- Cloud Armor (3)
- Cloud Database (3)
- Cloud FinOps (3)
- Cloud Security (3)
- Cluster (3)
- Consul (3)
- Cosmos Db (3)
- Covid19 (3)
- Crontab (3)
- Data Analytics (3)
- Data Integration (3)
- Database 12C (3)
- Database Monitoring (3)
- Database Troubleshooting (3)
- Database Upgrade (3)
- Databases (3)
- Dataops (3)
- Dbt (3)
- Digital Transformation (3)
- ERP (3)
- Google Chrome (3)
- Google Cloud Sql (3)
- Graphite (3)
- Haproxy (3)
- Heterogeneous Database Migration (3)
- Hugepages (3)
- Inside Pythian (3)
- Installation (3)
- Json (3)
- Keras (3)
- Ldap (3)
- Liquibase (3)
- Love Letter (3)
- Lua (3)
- Mfa (3)
- Multitenant (3)
- Mysql 5.7 (3)
- Mysql Configuration (3)
- Nginx (3)
- Nodetool (3)
- Non-Tech Articles (3)
- Oem 13C (3)
- Oms (3)
- Oracle 18C (3)
- Oracle Data Guard (3)
- Oracle Live Sql (3)
- Oracle Rac (3)
- Patch (3)
- Perl (3)
- Pmm (3)
- Pt-Online-Schema-Change (3)
- Rdbms (3)
- Recommended (3)
- Remote Teams (3)
- Reporting (3)
- Reverse Proxy (3)
- S3 (3)
- Spark (3)
- Sql On The Edge (3)
- Sql Server Configuration (3)
- Sql Server On Linux (3)
- Ssis (3)
- Ssis Catalog (3)
- Stefan Knecht (3)
- Striim (3)
- Sysadmin (3)
- System Versioned (3)
- Systemd (3)
- Temporal Tables (3)
- Tensorflow (3)
- Tools (3)
- Tuning (3)
- Vasu Balla (3)
- Vault (3)
- Vulnerability (3)
- Waf (3)
- 18C (2)
- Adf (2)
- Adop (2)
- Agent (2)
- Agile (2)
- Amazon Data Migration Service (2)
- Amazon Ec2 (2)
- Amazon S3 (2)
- Apache Flink (2)
- Apple (2)
- Apps (2)
- Ashdump (2)
- Atp (2)
- Audit (2)
- Automatic Backups (2)
- Autonomous (2)
- Autoupgrade (2)
- Awr Data Mining (2)
- Azure Sql (2)
- Azure Sql Data Sync (2)
- Bash (2)
- Business (2)
- Caching (2)
- Cassandra Nodetool (2)
- Cdap (2)
- Certification (2)
- Cloning (2)
- Cloud Cost Optimization (2)
- Cloud Data Fusion (2)
- Cloud Hosting (2)
- Cloud Infrastructure (2)
- Cloud Shell (2)
- Cloud Sql (2)
- Cloudscape (2)
- Cluster Level Consistency (2)
- Conferences (2)
- Consul-Template (2)
- Containerization (2)
- Containers (2)
- Cosmosdb (2)
- Cost Management (2)
- Costs (2)
- Cql (2)
- Cqlsh (2)
- Cyber Security (2)
- Data Analysis (2)
- Data Discovery (2)
- Data Engineering (2)
- Data Migration (2)
- Data Modeling (2)
- Data Quality (2)
- Data Streaming (2)
- Data Warehouse (2)
- Database Consulting (2)
- Database Migrations (2)
- Dataguard (2)
- Datapump (2)
- Ddl (2)
- Debezium (2)
- Dictionary Views (2)
- Dms (2)
- Docker-Composer (2)
- Dr (2)
- Duplicate (2)
- Ecc (2)
- Elastic (2)
- Elastic Stack (2)
- Em12C (2)
- Encryption (2)
- Enterprise Data Platform (EDP) (2)
- Enterprise Manager (2)
- Etl (2)
- Events (2)
- Exachk (2)
- Filter Driver (2)
- Flume (2)
- Full Text Search (2)
- Galera (2)
- Gemini (2)
- General Purpose Ssd (2)
- Gh-Ost (2)
- Gke (2)
- Google Workspace (2)
- Hanganalyze (2)
- Hdfs (2)
- Health Check (2)
- Historical Trends (2)
- Incremental (2)
- Infiniband (2)
- Infrastructure As Code (2)
- Innodb Cluster (2)
- Innodb File Structure (2)
- Innodb Group Replication (2)
- Install (2)
- Internals (2)
- Java Web Start (2)
- Kibana (2)
- Log (2)
- Log4J (2)
- Logs (2)
- Memory (2)
- Merge Replication (2)
- Metrics (2)
- Mutex (2)
- MySQLShell (2)
- NLP (2)
- Neo4J (2)
- Node.Js (2)
- Nosql (2)
- November 11Th 2015 (2)
- Ntp (2)
- Oci Iam (2)
- Oem12C (2)
- Omspatcher (2)
- Opatchauto (2)
- Open Source Database (2)
- Operational Excellence (2)
- Oracle 11G (2)
- Oracle Datase (2)
- Oracle Extended Manager (Oem) (2)
- Oracle Flashback (2)
- Oracle Forms (2)
- Oracle Installation (2)
- Oracle Io Testing (2)
- Pdb (2)
- Podcast (2)
- Power Bi (2)
- Puppet (2)
- Pythian Europe (2)
- R12.2 (2)
- Redshift (2)
- Remote DBA (2)
- Remote Sre (2)
- SAP HANA Cloud (2)
- Sap Migration (2)
- Scale (2)
- Schema (2)
- September 30Th 2015 (2)
- September 3Rd 2015 (2)
- Shell (2)
- Simon Pane (2)
- Single Sign-On (2)
- Sql Server On Gke (2)
- Sqlplus (2)
- Sre (2)
- Ssis Catalog Error (2)
- Ssisdb (2)
- Standby (2)
- Statspack Mining (2)
- Systemstate Dump (2)
- Tablespace (2)
- Technical Training (2)
- Tempdb (2)
- Tfa (2)
- Throughput (2)
- Tls (2)
- Tombstones (2)
- Transactional Replication (2)
- User Groups (2)
- Vagrant (2)
- Variables (2)
- Virtual Machine (2)
- Virtual Machines (2)
- Virtualbox (2)
- Web Application Firewall (2)
- Webinars (2)
- X5 (2)
- scalability (2)
- //Build2019 (1)
- 11G (1)
- 12.1 (1)
- 12Cr1 (1)
- 12Cr2 (1)
- 18C Grid Installation (1)
- 2022 (1)
- 2022 Snowflake Summit (1)
- AI Platform (1)
- AI Summit (1)
- Actifio (1)
- Active Directory (1)
- Adaptive Hash Index (1)
- Adf Custom Email (1)
- Adobe Flash (1)
- Adrci (1)
- Advanced Data Services (1)
- Afd (1)
- After Logon Trigger (1)
- Ahf (1)
- Aix (1)
- Akka (1)
- Alloydb (1)
- Alter Table (1)
- Always On (1)
- Always On Listener (1)
- Alwayson With Gke (1)
- Amazon (1)
- Amazon Athena (1)
- Amazon Aurora Backtrack (1)
- Amazon Efs (1)
- Amazon Redshift (1)
- Amazon Sagemaker (1)
- Amazon Vpc Flow Logs (1)
- Amdu (1)
- Analysis (1)
- Analytical Models (1)
- Analyzing Bigquery Via Sheets (1)
- Anisble (1)
- Annual Mysql Community Dinner (1)
- Anthos (1)
- Apache (1)
- Apache Nifi (1)
- Apache Spark (1)
- Application Migration (1)
- Architect (1)
- Architecture (1)
- Ash (1)
- Asmlib (1)
- Atlas CLI (1)
- Audit In Postgres (1)
- Audit In Postgresql (1)
- Auto Failover (1)
- Auto Increment (1)
- Auto Index (1)
- Autoconfig (1)
- Automated Reports (1)
- Automl (1)
- Autostart (1)
- Awr Mining (1)
- Aws Glue (1)
- Aws Lake Formation (1)
- Aws Lambda (1)
- Azure Analysis Services (1)
- Azure Blob Storage (1)
- Azure Cognitive Search (1)
- Azure Data (1)
- Azure Data Lake (1)
- Azure Data Lake Analytics (1)
- Azure Data Lake Store (1)
- Azure Data Migration Service (1)
- Azure Dma (1)
- Azure Dms (1)
- Azure Document Intelligence (1)
- Azure Integration Runtime (1)
- Azure OpenAI (1)
- Azure Sql Data Warehouse (1)
- Azure Sql Dw (1)
- Azure Sql Managed Instance (1)
- Azure Vm (1)
- Backup For Sql Server (1)
- Bacpac (1)
- Bag (1)
- Bare Metal Solution (1)
- Batch Operation (1)
- Batches In Cassandra (1)
- Beats (1)
- Best Practice (1)
- Bi Publisher (1)
- Binary Logging (1)
- Bind Variables (1)
- Bitnami (1)
- Blob Storage Endpoint (1)
- Blockchain (1)
- Browsers (1)
- Btp Architecture (1)
- Btp Components (1)
- Buffer Pool (1)
- Bug (1)
- Bugs (1)
- Build 2019 Updates (1)
- Build Cassandra (1)
- Bundle Patch (1)
- Bushy Join (1)
- Business Continuity (1)
- Business Insights (1)
- Business Process Modelling (1)
- Business Reputation (1)
- CAPEX (1)
- Capacity Planning (1)
- Career (1)
- Career Development (1)
- Cassandra-Cli (1)
- Catcon.Pm (1)
- Catctl.Pl (1)
- Catupgrd.Sql (1)
- Cbo (1)
- Cdb Duplication (1)
- Certificate (1)
- Certificate Management (1)
- Chaos Engineering (1)
- Cheatsheet (1)
- Checkactivefilesandexecutables (1)
- Chmod (1)
- Chown (1)
- Chrome Enterprise (1)
- Chrome Security (1)
- Cl-Series (1)
- Cleanup (1)
- Cloud Browser (1)
- Cloud Build (1)
- Cloud Consulting (1)
- Cloud Data Warehouse (1)
- Cloud Database Management (1)
- Cloud Dataproc (1)
- Cloud Foundry (1)
- Cloud Manager (1)
- Cloud Migations (1)
- Cloud Networking (1)
- Cloud SQL Replica (1)
- Cloud Scheduler (1)
- Cloud Services (1)
- Cloud Strategies (1)
- Cloudformation (1)
- Cluster Resource (1)
- Cmo (1)
- Cockroach Db (1)
- Coding Benchmarks (1)
- Colab (1)
- Collectd (1)
- Columnar (1)
- Communication Plans (1)
- Community (1)
- Compact Storage (1)
- Compaction (1)
- Compliance (1)
- Compression (1)
- Compute Instances (1)
- Compute Node (1)
- Concurrent Manager (1)
- Concurrent Processing (1)
- Configuration (1)
- Consistency Level (1)
- Consolidation (1)
- Conversational AI (1)
- Covid-19 (1)
- Cpu Patching (1)
- Cqlsstablewriter (1)
- Crash (1)
- Create Catalog Error (1)
- Create_File_Dest (1)
- Credentials (1)
- Cross Platform (1)
- CrowdStrike (1)
- Crsctl (1)
- Custom Instance Images (1)
- Cve-2022-21500 (1)
- Cvu (1)
- Cypher Queries (1)
- DAX (1)
- DBSAT 3 (1)
- Dacpac (1)
- Dag (1)
- Data Analytics Platform (1)
- Data Box (1)
- Data Classification (1)
- Data Cleansing (1)
- Data Encryption (1)
- Data Estate (1)
- Data Flow Management (1)
- Data Insights (1)
- Data Integrity (1)
- Data Lake (1)
- Data Leader (1)
- Data Lifecycle Management (1)
- Data Lineage (1)
- Data Masking (1)
- Data Mesh (1)
- Data Migration Assistant (1)
- Data Migration Service (1)
- Data Mining (1)
- Data Monetization (1)
- Data Policy (1)
- Data Profiling (1)
- Data Protection (1)
- Data Retention (1)
- Data Safe (1)
- Data Sheets (1)
- Data Summit (1)
- Data Vault (1)
- Data Warehouse Modernization (1)
- Database Auditing (1)
- Database Consultant (1)
- Database Link (1)
- Database Modernization (1)
- Database Provisioning (1)
- Database Provisioning Failed (1)
- Database Replication (1)
- Database Scaling (1)
- Database Schemas (1)
- Database Security (1)
- Databricks (1)
- Datadog (1)
- Datafile (1)
- Datapatch (1)
- Dataprivacy (1)
- Datascape 59 (1)
- Datasets (1)
- Datastax Cassandra (1)
- Datastax Opscenter (1)
- Datasync Error (1)
- Db_Create_File_Dest (1)
- Dbaas (1)
- Dbatools (1)
- Dbcc Checkident (1)
- Dbms_Cloud (1)
- Dbms_File_Transfer (1)
- Dbms_Metadata (1)
- Dbms_Service (1)
- Dbms_Stats (1)
- Dbupgrade (1)
- Deep Learning (1)
- Delivery (1)
- Devd (1)
- Dgbroker (1)
- Dialogflow (1)
- Dict0Dict (1)
- Did You Know (1)
- Direct Path Read Temp (1)
- Disk Groups (1)
- Disk Management (1)
- Diskgroup (1)
- Dispatchers (1)
- Distributed Ag (1)
- Distribution Agent (1)
- Documentation (1)
- Download (1)
- Dp Agent (1)
- Duet AI (1)
- Duplication (1)
- Dynamic Sampling (1)
- Dynamic Tasks (1)
- E-Business Suite Cpu Patching (1)
- E-Business Suite Patching (1)
- Ebs Sso (1)
- Ec2 (1)
- Edb Postgresql Advanced Server (1)
- Edb Postgresql Password Verify Function (1)
- Editions (1)
- Edp (1)
- El Carro (1)
- Elassandra (1)
- Elk Stack (1)
- Em13Cr2 (1)
- Emcli (1)
- End of Life (1)
- Engineering (1)
- Enqueue (1)
- Enterprise (1)
- Enterprise Architecture (1)
- Enterprise Command Centers (1)
- Enterprise Manager Command Line Interface (Em Cli (1)
- Enterprise Plus (1)
- Episode 58 (1)
- Error Handling (1)
- Exacc (1)
- Exacheck (1)
- Exacs (1)
- Exadata Asr (1)
- Execution (1)
- Executive Sponsor (1)
- Expenditure (1)
- Export Sccm Collection To Csv (1)
- External Persistent Volumes (1)
- Fail (1)
- Failed Upgrade (1)
- Failover In Postgresql (1)
- Fall 2021 (1)
- Fast Recovery Area (1)
- Flash Recovery Area (1)
- Flashback (1)
- Fnd (1)
- Fndsm (1)
- Force_Matching_Signature (1)
- Fra Full (1)
- Framework (1)
- Freebsd (1)
- Fsync (1)
- Function-Based Index (1)
- GCVE Architecture (1)
- GPQA (1)
- Gaming (1)
- Garbagecollect (1)
- Gcp Compute (1)
- Gcp-Spanner (1)
- Geography (1)
- Geth (1)
- Getmospatch (1)
- Git (1)
- Global Analytics (1)
- Google Analytics (1)
- Google Cloud Architecture Framework (1)
- Google Cloud Data Services (1)
- Google Cloud Partner (1)
- Google Cloud Spanner (1)
- Google Cloud VMware Engine (1)
- Google Compute Engine (1)
- Google Dataflow (1)
- Google Datalab (1)
- Google Grab And Go (1)
- Google Sheets (1)
- Gp2 (1)
- Graph Algorithms (1)
- Graph Databases (1)
- Graph Inferences (1)
- Graph Theory (1)
- GraphQL (1)
- Graphical User Interface (Gui) (1)
- Grid (1)
- Grid Infrastructure (1)
- Griddisk Resize (1)
- Grp (1)
- Guaranteed Restore Point (1)
- Guid Mismatch (1)
- HR Technology (1)
- HRM (1)
- Ha (1)
- Hang (1)
- Hashicorp (1)
- Hbase (1)
- Hcc (1)
- Hdinsight (1)
- Healthcheck (1)
- Hemantgiri S. Goswami (1)
- Hortonworks (1)
- How To Install Ssrs (1)
- Hr (1)
- Httpchk (1)
- Https (1)
- Huge Pages (1)
- HumanEval (1)
- Hung Database (1)
- Hybrid Columnar Compression (1)
- Hyper-V (1)
- Hyperscale (1)
- Hypothesis Driven Development (1)
- Ibm (1)
- Identity Management (1)
- Idm (1)
- Ilom (1)
- Imageinfo (1)
- Impdp (1)
- In Place Upgrade (1)
- Incident Response (1)
- Indempotent (1)
- Indexing In Mongodb (1)
- Influxdb (1)
- Information (1)
- Infrastructure As A Code (1)
- Injection (1)
- Innobackupex (1)
- Innodb Concurrency (1)
- Innodb Flush Method (1)
- Insights (1)
- Installing (1)
- Instance Cloning (1)
- Integration Services (1)
- Integrations (1)
- Interactive_Timeout (1)
- Interval Partitioning (1)
- Invisible Indexes (1)
- Io1 (1)
- IoT (1)
- Iops (1)
- Iphone (1)
- Ipv6 (1)
- Iscsi (1)
- Iscsi-Initiator-Utils (1)
- Iscsiadm (1)
- Issues (1)
- It Industry (1)
- It Teams (1)
- JMX Metrics (1)
- Jared Still (1)
- Javascript (1)
- Jdbc (1)
- Jinja2 (1)
- Jmx (1)
- Jmx Monitoring (1)
- Jvm (1)
- Jython (1)
- K8S (1)
- Kernel (1)
- Key Btp Components (1)
- Kfed (1)
- Kill Sessions (1)
- Knapsack (1)
- Kubeflow (1)
- LMSYS Chatbot Arena (1)
- Large Pages (1)
- Latency (1)
- Latest News (1)
- Leadership (1)
- Leap Second (1)
- Limits (1)
- Line 1 (1)
- Linkcolumn (1)
- Linux Host Monitoring (1)
- Linux Storage Appliance (1)
- Listener (1)
- Loadavg (1)
- Lock_Sga (1)
- Locks (1)
- Log File Switch (Archiving Needed) (1)
- Logfile (1)
- Looker (1)
- Lvm (1)
- MMLU (1)
- Managed Instance (1)
- Managed Services (1)
- Management (1)
- Management Servers (1)
- Marketing (1)
- Marketing Analytics (1)
- Martech (1)
- Masking (1)
- Megha Bedi (1)
- Metadata (1)
- Method-R Workbench (1)
- Metric (1)
- Metric Extensions (1)
- Michelle Gutzait (1)
- Microservices (1)
- Microsoft Azure Sql Database (1)
- Microsoft Build (1)
- Microsoft Build 2019 (1)
- Microsoft Ignite (1)
- Microsoft Inspire 2019 (1)
- Migrate (1)
- Migrating Ssis Catalog (1)
- Migrating To Azure Sql (1)
- Migration Checklist (1)
- Mirroring (1)
- Mismatch (1)
- Model Governance (1)
- Monetization (1)
- MongoDB Atlas (1)
- MongoDB Compass (1)
- Ms Excel (1)
- Msdtc (1)
- Msdtc In Always On (1)
- Msdtc In Cluster (1)
- Multi-IP (1)
- Multicast (1)
- Multipath (1)
- My.Cnf (1)
- MySQL Shell Logical Backup (1)
- MySQLDump (1)
- Mysql Enterprise (1)
- Mysql Plugin For Oracle Enterprise Manager (1)
- Mysql Replication Filters (1)
- Mysql Server (1)
- Mysql-Python (1)
- Nagios (1)
- Ndb (1)
- Net_Read_Timeout (1)
- Net_Write_Timeout (1)
- Netcat (1)
- Newsroom (1)
- Nfs (1)
- Nifi (1)
- Node (1)
- November 10Th 2015 (1)
- November 6Th 2015 (1)
- Null Columns (1)
- Nullipotent (1)
- OPEX (1)
- ORAPKI (1)
- O_Direct (1)
- Oacore (1)
- October 21St 2015 (1)
- October 6Th 2015 (1)
- October 8Th 2015 (1)
- Oda (1)
- Odbcs (1)
- Odbs (1)
- Odi (1)
- Oel (1)
- Ohs (1)
- Olvm (1)
- On-Prem To Azure Sql (1)
- On-Premises (1)
- Onclick (1)
- Open.Canada.Ca (1)
- Openstack (1)
- Operating System Monitoring (1)
- Oplog (1)
- Opsworks (1)
- Optimization (1)
- Optimizer (1)
- Ora-01852 (1)
- Ora-7445 (1)
- Oracle 19 (1)
- Oracle 20C (1)
- Oracle Cursor (1)
- Oracle Database 12.2 (1)
- Oracle Database Appliance (1)
- Oracle Database Se2 (1)
- Oracle Database Standard Edition 2 (1)
- Oracle Database Upgrade (1)
- Oracle Database@Google Cloud (1)
- Oracle Exadata Smart Scan (1)
- Oracle Licensing (1)
- Oracle Linux Virtualization Manager (1)
- Oracle Oda (1)
- Oracle Openworld (1)
- Oracle Parallelism (1)
- Oracle Rdbms (1)
- Oracle Real Application Clusters (1)
- Oracle Reports (1)
- Oracle Security (1)
- Oracle Wallet (1)
- Orasrp (1)
- Organizational Change (1)
- Orion (1)
- Os (1)
- Osbws_Install.Jar (1)
- Oui Gui (1)
- Output (1)
- Owox (1)
- Paas (1)
- Package Deployment Wizard Error (1)
- Parallel Execution (1)
- Parallel Query (1)
- Parallel Query Downgrade (1)
- Partitioning (1)
- Partitions (1)
- Password (1)
- Password Change (1)
- Password Recovery (1)
- Password Verify Function In Postgresql (1)
- Patches (1)
- Patchmgr (1)
- Pdb Duplication (1)
- Penalty (1)
- Perfomrance (1)
- Performance Schema (1)
- Pg 15 (1)
- Pg_Rewind (1)
- Pga (1)
- Pipeline Debugging (1)
- Pivot (1)
- Planning (1)
- Plsql (1)
- Policy (1)
- Polybase (1)
- Post-Acquisition (1)
- Post-Covid It (1)
- Postgresql Complex Password (1)
- Postgresql With Repmgr Integration (1)
- Pq (1)
- Preliminar Connection (1)
- Preliminary Connection (1)
- Privatecloud (1)
- Process Mining (1)
- Production (1)
- Productivity (1)
- Profile In Edb Postgresql (1)
- Programming (1)
- Prompt Engineering (1)
- Provisioned Iops (1)
- Provisiones Iops (1)
- Proxy Monitoring (1)
- Psu (1)
- Public Cloud (1)
- Pubsub (1)
- Purge (1)
- Purge Thread (1)
- Pythian Blackbird Acquisition (1)
- Pythian Goodies (1)
- Pythian News (1)
- Python Pandas (1)
- Query Performance (1)
- Quicksight (1)
- Quota Limits (1)
- R12 R12.2 Cp Concurrent Processing Abort (1)
- R12.1.3 (1)
- REF! (1)
- Ram Cache (1)
- Rbac (1)
- Rdb (1)
- Rds_File_Util (1)
- Read Free Replication (1)
- Read Latency (1)
- Read Only (1)
- Read Replica (1)
- Reboot (1)
- Recruiting (1)
- Redo Size (1)
- Relational Database Management System (1)
- Release (1)
- Release Automation (1)
- Repair (1)
- Replication Compatibility (1)
- Replication Error (1)
- Repmgr (1)
- Repmgrd (1)
- Reporting Services 2019 (1)
- Resiliency Planning (1)
- Resource Manager (1)
- Resources (1)
- Restore (1)
- Restore Point (1)
- Retail (1)
- Rhel (1)
- Risk (1)
- Risk Management (1)
- Rocksrb (1)
- Role In Postgresql (1)
- Rollback (1)
- Rolling Patch (1)
- Row0Purge (1)
- Rpm (1)
- Rule "Existing Clustered Or Clustered-Prepared In (1)
- Running Discovery On Remote Machine (1)
- SAP (1)
- SQL Optimization (1)
- SQL Tracing (1)
- SSRS Administration (1)
- SaaS (1)
- Sap Assessment (1)
- Sap Assessment Report (1)
- Sap Backup Restore (1)
- Sap Btp Architecture (1)
- Sap Btp Benefits (1)
- Sap Btp Model (1)
- Sap Btp Services (1)
- Sap Homogenous System Copy Method (1)
- Sap Landscape Copy (1)
- Sap Migration Assessment (1)
- Sap On Mssql (1)
- Sap System Copy (1)
- Sar (1)
- Scaling Ir (1)
- Sccm (1)
- Sccm Powershell (1)
- Scheduler (1)
- Scheduler_Job (1)
- Schedulers (1)
- Scheduling (1)
- Scott Mccormick (1)
- Scripts (1)
- Sdp (1)
- Secrets (1)
- Securing Sql Server (1)
- Security Compliance (1)
- Sed (Stream Editor) (1)
- Self Hosted Ir (1)
- Semaphore (1)
- Seps (1)
- September 11Th 2015 (1)
- Serverless Computing (1)
- Serverless Framework (1)
- Service Broker (1)
- Service Bus (1)
- Shared Connections (1)
- Shared Storage (1)
- Shellshock (1)
- Signals (1)
- Silent (1)
- Slave (1)
- Slob (1)
- Smart Scan (1)
- Smtp (1)
- Snapshot (1)
- Snowday Fall 2021 (1)
- Socat (1)
- Software Development (1)
- Software Engineering (1)
- Solutions Architecture (1)
- Spanner-Backups (1)
- Sphinx (1)
- Split Brain In Postgresql (1)
- Spm (1)
- Sql Agent (1)
- Sql Backup To Url Error (1)
- Sql Cluster Installer Hang (1)
- Sql Database (1)
- Sql Developer (1)
- Sql On Linux (1)
- Sql Server 2014 (1)
- Sql Server 2016 (1)
- Sql Server Agent On Linux (1)
- Sql Server Backups (1)
- Sql Server Denali Is Required To Install Integrat (1)
- Sql Server Health Check (1)
- Sql Server Troubleshooting On Linux (1)
- Sql Server Version (1)
- Sql Setup (1)
- Sql Vm (1)
- Sql2K19Ongke (1)
- Sqldatabase Serverless (1)
- Ssh User Equivalence (1)
- Ssis Denali Error (1)
- Ssis Install Error E Xisting Clustered Or Cluster (1)
- Ssis Package Deployment Error (1)
- Ssisdb Master Key (1)
- Ssisdb Restore Error (1)
- Sso (1)
- Ssrs 2019 (1)
- Sstable2Json (1)
- Sstableloader (1)
- Sstablesimpleunsortedwriter (1)
- Stack Dump (1)
- Standard Edition (1)
- Startup Process (1)
- Statistics (1)
- Statspack (1)
- Statspack Data Mining (1)
- Statspack Erroneously Reporting (1)
- Statspack Issues (1)
- Storage (1)
- Stored Procedure (1)
- Strategies (1)
- Streaming (1)
- Sunos (1)
- Swap (1)
- Swapping (1)
- Switch (1)
- Syft (1)
- Synapse (1)
- Sync Failed There Is Not Enough Space On The Disk (1)
- Sys Schema (1)
- System Function (1)
- Systems Administration (1)
- T-Sql (1)
- Table Optimization (1)
- Tablespace Growth (1)
- Tablespaces (1)
- Tags (1)
- Tar (1)
- Tde (1)
- Team Management (1)
- Tech Debt (1)
- Technology (1)
- Telegraf (1)
- Tempdb Encryption (1)
- Templates (1)
- Temporary Tablespace (1)
- Tenserflow (1)
- Teradata (1)
- Testing New Cassandra Builds (1)
- There Is Not Enough Space On The Disk (1)
- Thick Data (1)
- Third-Party Data (1)
- Thrift (1)
- Thrift Data (1)
- Tidb (1)
- Time Series (1)
- Time-Drift (1)
- Tkprof (1)
- Tmux (1)
- Tns (1)
- Trace (1)
- Tracefile (1)
- Training (1)
- Transaction Log (1)
- Transactions (1)
- Transformation Navigator (1)
- Transparent Data Encryption (1)
- Trigger (1)
- Triggers On Memory-Optimized Tables Must Use With (1)
- Troubleshooting (1)
- Tungsten (1)
- Tvdxtat (1)
- Twitter (1)
- U-Sql (1)
- UNDO Tablespace (1)
- Upgrade Issues (1)
- Uptime (1)
- Uptrade (1)
- Url Backup Error (1)
- Usability (1)
- Use Cases (1)
- User (1)
- User Defined Compactions (1)
- Utilization (1)
- Utl_Smtp (1)
- VDI Jump Host (1)
- Validate Structure (1)
- Validate_Credentials (1)
- Value (1)
- Velocity (1)
- Vertex AI (1)
- Vertica (1)
- Vertical Slicing (1)
- Videos (1)
- Virtual Private Cloud (1)
- Virtualization (1)
- Vision (1)
- Vpn (1)
- Wait_Timeout (1)
- Wallet (1)
- Webhook (1)
- Weblogic Connection Filters (1)
- Webscale Database (1)
- Windows 10 (1)
- Windows Powershell (1)
- WiredTiger (1)
- With Native_Compilation (1)
- Word (1)
- Workshop (1)
- Workspace Security (1)
- Xbstream (1)
- Xml Publisher (1)
- Zabbix (1)
- dbms_Monitor (1)
- postgresql 16 (1)
- sqltrace (1)
- tracing (1)
- vSphere (1)
- xml (1)
- December 2024 (1)
- October 2024 (2)
- September 2024 (7)
- August 2024 (4)
- July 2024 (2)
- June 2024 (6)
- May 2024 (3)
- April 2024 (2)
- February 2024 (1)
- January 2024 (11)
- December 2023 (10)
- November 2023 (11)
- October 2023 (10)
- September 2023 (8)
- August 2023 (6)
- July 2023 (2)
- June 2023 (13)
- May 2023 (4)
- April 2023 (6)
- March 2023 (10)
- February 2023 (6)
- January 2023 (5)
- December 2022 (10)
- November 2022 (10)
- October 2022 (10)
- September 2022 (13)
- August 2022 (16)
- July 2022 (12)
- June 2022 (13)
- May 2022 (11)
- April 2022 (4)
- March 2022 (5)
- February 2022 (4)
- January 2022 (14)
- December 2021 (16)
- November 2021 (11)
- October 2021 (6)
- September 2021 (11)
- August 2021 (6)
- July 2021 (9)
- June 2021 (4)
- May 2021 (8)
- April 2021 (16)
- March 2021 (16)
- February 2021 (6)
- January 2021 (12)
- December 2020 (12)
- November 2020 (17)
- October 2020 (11)
- September 2020 (10)
- August 2020 (11)
- July 2020 (13)
- June 2020 (6)
- May 2020 (9)
- April 2020 (18)
- March 2020 (21)
- February 2020 (13)
- January 2020 (15)
- December 2019 (10)
- November 2019 (11)
- October 2019 (12)
- September 2019 (16)
- August 2019 (15)
- July 2019 (10)
- June 2019 (16)
- May 2019 (20)
- April 2019 (21)
- March 2019 (14)
- February 2019 (18)
- January 2019 (18)
- December 2018 (5)
- November 2018 (16)
- October 2018 (12)
- September 2018 (20)
- August 2018 (27)
- July 2018 (31)
- June 2018 (34)
- May 2018 (28)
- April 2018 (27)
- March 2018 (17)
- February 2018 (8)
- January 2018 (20)
- December 2017 (14)
- November 2017 (4)
- October 2017 (1)
- September 2017 (3)
- August 2017 (5)
- July 2017 (4)
- June 2017 (2)
- May 2017 (7)
- April 2017 (7)
- March 2017 (8)
- February 2017 (8)
- January 2017 (5)
- December 2016 (3)
- November 2016 (4)
- October 2016 (8)
- September 2016 (9)
- August 2016 (10)
- July 2016 (9)
- June 2016 (8)
- May 2016 (13)
- April 2016 (16)
- March 2016 (13)
- February 2016 (11)
- January 2016 (6)
- December 2015 (11)
- November 2015 (11)
- October 2015 (5)
- September 2015 (16)
- August 2015 (4)
- July 2015 (1)
- June 2015 (3)
- May 2015 (6)
- April 2015 (5)
- March 2015 (5)
- February 2015 (4)
- January 2015 (3)
- December 2014 (7)
- October 2014 (4)
- September 2014 (6)
- August 2014 (6)
- July 2014 (16)
- June 2014 (7)
- May 2014 (6)
- April 2014 (5)
- March 2014 (4)
- February 2014 (10)
- January 2014 (6)
- December 2013 (8)
- November 2013 (12)
- October 2013 (9)
- September 2013 (6)
- August 2013 (7)
- July 2013 (9)
- June 2013 (7)
- May 2013 (7)
- April 2013 (4)
- March 2013 (7)
- February 2013 (4)
- January 2013 (4)
- December 2012 (6)
- November 2012 (8)
- October 2012 (9)
- September 2012 (3)
- August 2012 (5)
- July 2012 (5)
- June 2012 (7)
- May 2012 (11)
- April 2012 (1)
- March 2012 (8)
- February 2012 (1)
- January 2012 (6)
- December 2011 (8)
- November 2011 (5)
- October 2011 (9)
- September 2011 (6)
- August 2011 (4)
- July 2011 (1)
- June 2011 (1)
- May 2011 (5)
- April 2011 (2)
- February 2011 (2)
- January 2011 (2)
- December 2010 (1)
- November 2010 (7)
- October 2010 (3)
- September 2010 (8)
- August 2010 (2)
- July 2010 (4)
- June 2010 (7)
- May 2010 (2)
- April 2010 (1)
- March 2010 (3)
- February 2010 (3)
- January 2010 (2)
- November 2009 (6)
- October 2009 (6)
- August 2009 (3)
- July 2009 (3)
- June 2009 (3)
- May 2009 (2)
- April 2009 (8)
- March 2009 (6)
- February 2009 (4)
- January 2009 (3)
- November 2008 (3)
- October 2008 (7)
- September 2008 (6)
- August 2008 (9)
- July 2008 (9)
- June 2008 (9)
- May 2008 (9)
- April 2008 (8)
- March 2008 (4)
- February 2008 (3)
- January 2008 (3)
- December 2007 (2)
- November 2007 (7)
- October 2007 (1)
- August 2007 (4)
- July 2007 (3)
- June 2007 (8)
- May 2007 (4)
- April 2007 (2)
- March 2007 (2)
- February 2007 (5)
- January 2007 (8)
- December 2006 (1)
- November 2006 (3)
- October 2006 (4)
- September 2006 (3)
- July 2006 (1)
- May 2006 (2)
- April 2006 (1)
- July 2005 (1)
No Comments Yet
Let us know what you think